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- /usr/bin/python3.5 /home/denis/beta1/main.py
- WARNING 16:17:23.313 22842 cleaner.py ------------ HACK!!! read file /dev/video0 fps directly
- INFO 16:17:23.486 22842 database_service.py ------------ Register collections: {'Camera': 'cameras', 'TelegramChat': 'telegram', 'TreadedVideo': 'treaded_videos', 'PresenceInfo': 'presence_info', 'Room': 'rooms', 'Human': 'humans', 'HumanStateInfo': 'human_state_info', 'Anomaly': 'anomaly'}
- INFO 16:17:23.491 22842 aiservice.py ------------ Init shared image segment of 200 images
- DEBUG 16:17:36.653 22842 selector_events.py ------------ Using selector: EpollSelector
- INFO 16:17:36.655 22842 command.py ------------ Loading module core.video_process_worker ...
- INFO 16:17:36.655 22864 command.py ------------ Loading module core.tracker ...
- INFO 16:17:36.657 22842 command.py ------------ Loading module core.video_process_worker ...OK
- INFO 16:17:36.659 22865 command.py ------------ Loading module core.cnn ...
- INFO 16:17:36.661 22842 aiservice.py ------------ Starting...
- INFO 16:17:36.662 22866 command.py ------------ Loading module core.show_video ...
- INFO 16:17:36.663 22842 aiservice.py ------------ Starting...OK
- DEBUG 16:17:36.663 22842 shared_array.py ------------ Shared memory free 200, used 0
- INFO 16:17:36.664 22842 aiservice.py ce3625921a85 Put batch for camera test request to queue, spend 0.0009264945983886719 sec
- INFO 16:17:36.664 22842 aiservice.py ------------ Start processing batches
- INFO 16:17:36.665 22842 aiservice.py ------------ Start processing batches
- INFO 16:17:36.665 22842 aiservice.py ------------ Start processing batches
- INFO 16:17:36.665 22867 aiservice.py ------------ Dispatch images...
- INFO 16:17:36.666 22867 aiservice.py ce3625921a85 Start collecting batch for camera test, spend 0.0022940635681152344 sec
- INFO 16:17:36.666 22867 batch_reader.py ------------ Create stream to test, args {'started': 1524489456.6661441, 'development': True, 'camera_name': 'test', 'qid': 'ce3625921a85', 'duration': 6, 'restart': True, 'fps': 4}
- DEBUG 16:17:36.866 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:17:36.866 22842 aiservice.py 4467122a4283 Put batch for camera test request to queue, spend 0.0007071495056152344 sec
- [TensorRT] INFO: Added linear block of size 75497472
- [TensorRT] INFO: Added linear block of size 75497472
- [TensorRT] INFO: Added linear block of size 9437184
- [TensorRT] INFO: Added linear block of size 2359296
- [TensorRT] INFO: Added linear block of size 2359296
- DEBUG 16:17:37.276 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489457270
- DEBUG 16:17:37.505 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489457502
- DEBUG 16:17:37.738 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489457734
- /usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
- from ._conv import register_converters as _register_converters
- /usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
- from ._conv import register_converters as _register_converters
- [TensorRT] INFO: Verifying engine construction was successful
- [TensorRT] INFO: Allocating GPU buffers
- INFO 16:17:37.931 22865 command.py ------------ Loading module core.cnn ...OK
- DEBUG 16:17:37.969 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489457966
- Using TensorFlow backend.
- Using TensorFlow backend.
- DEBUG 16:17:38.078 22866 geos.py ------------ Found GEOS DLL: <CDLL '/usr/local/lib/python3.5/dist-packages/shapely/.libs/libgeos_c-bd8d3f16.so.1.10.2', handle 4e844f0 at 0x7f99b7045a20>, using it.
- DEBUG 16:17:38.088 22866 geos.py ------------ Trying `CDLL(libc.so.6)`
- DEBUG 16:17:38.088 22866 geos.py ------------ Library path: 'libc.so.6'
- DEBUG 16:17:38.089 22866 geos.py ------------ DLL: <CDLL 'libc.so.6', handle 7f9b7fbb94e8 at 0x7f99b7045e48>
- DEBUG 16:17:38.091 22864 geos.py ------------ Found GEOS DLL: <CDLL '/usr/local/lib/python3.5/dist-packages/shapely/.libs/libgeos_c-bd8d3f16.so.1.10.2', handle 4e80ac0 at 0x7f99b7030358>, using it.
- DEBUG 16:17:38.101 22864 geos.py ------------ Trying `CDLL(libc.so.6)`
- DEBUG 16:17:38.102 22864 geos.py ------------ Library path: 'libc.so.6'
- DEBUG 16:17:38.102 22864 geos.py ------------ DLL: <CDLL 'libc.so.6', handle 7f9b7fbb94e8 at 0x7f99b7030780>
- INFO 16:17:38.103 22866 command.py ------------ Loading module core.show_video ...OK
- DEBUG 16:17:38.201 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489458198
- 2018-04-23 16:17:38.239860: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
- 2018-04-23 16:17:38.324507: W tensorflow/stream_executor/cuda/cuda_driver.cc:527] A non-primary context 0x1ccf060 for device 0 exists before initializing the StreamExecutor. The primary context is now 0x1ca12e0. We haven't verified StreamExecutor works with that.
- 2018-04-23 16:17:38.324710: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
- 2018-04-23 16:17:38.324940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
- name: GeForce GTX 1060 major: 6 minor: 1 memoryClockRate(GHz): 1.733
- pciBusID: 0000:01:00.0
- totalMemory: 5.93GiB freeMemory: 4.80GiB
- 2018-04-23 16:17:38.324952: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
- DEBUG 16:17:38.433 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489458430
- 2018-04-23 16:17:38.645731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4539 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060, pci bus id: 0000:01:00.0, compute capability: 6.1)
- DEBUG 16:17:38.665 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489458662
- DEBUG 16:17:38.897 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489458894
- DEBUG 16:17:39.129 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489459126
- DEBUG 16:17:39.361 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489459358
- DEBUG 16:17:39.593 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489459590
- INFO 16:17:39.733 22864 command.py ------------ Loading module core.tracker ...OK
- DEBUG 16:17:39.828 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489459822
- DEBUG 16:17:40.061 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489460054
- DEBUG 16:17:40.293 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489460286
- DEBUG 16:17:40.525 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489460518
- DEBUG 16:17:40.759 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489460750
- DEBUG 16:17:40.989 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489460982
- DEBUG 16:17:41.221 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489461214
- DEBUG 16:17:41.453 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489461446
- DEBUG 16:17:41.684 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489461678
- DEBUG 16:17:41.918 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489461910
- DEBUG 16:17:42.150 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489462142
- DEBUG 16:17:42.381 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489462374
- DEBUG 16:17:42.613 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489462606
- DEBUG 16:17:42.615 22867 aiservice.py ce3625921a85 Batch for camera test collected, spend 5.94929575920105 sec
- INFO 16:17:42.617 22867 aiservice.py 4467122a4283 Start collecting batch for camera test, spend 5.7513415813446045 sec
- DEBUG 16:17:42.706 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:17:42.707 22842 aiservice.py f03e3345b059 Put batch for camera test request to queue, spend 0.0025587081909179688 sec
- INFO 16:17:42.716 22842 aiservice.py ce3625921a85 Start processing batch for camera test, spend 6.05005955696106 sec
- DEBUG 16:17:42.717 22842 foreman.py ce3625921a85 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:17:42.844 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489462838
- DEBUG 16:17:42.891 22842 foreman.py ce3625921a85 Running=0 finished=1
- DEBUG 16:17:42.891 22842 foreman.py ce3625921a85 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:17:42.894 22865 command.py ce3625921a85 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:17:42.980 22865 command.py ce3625921a85 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:17:42.986 22842 foreman.py ce3625921a85 Running=0 finished=1
- CRITICAL 16:17:42.986 22842 foreman.py ce3625921a85 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:17:42.986 22842 foreman.py ce3625921a85 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:17:42.987 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:17:42.987 22842 aiservice.py ce3625921a85 Batch for camera test processed, spend 0.2707405090332031 sec
- DEBUG 16:17:42.987 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:17:43.077 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489463070
- DEBUG 16:17:43.310 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489463302
- DEBUG 16:17:43.542 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489463534
- DEBUG 16:17:43.775 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489463766
- DEBUG 16:17:44.006 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489463998
- DEBUG 16:17:44.238 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489464230
- DEBUG 16:17:44.470 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489464462
- DEBUG 16:17:44.701 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489464694
- DEBUG 16:17:44.932 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489464926
- DEBUG 16:17:45.165 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489465158
- DEBUG 16:17:45.398 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489465390
- DEBUG 16:17:45.629 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489465622
- DEBUG 16:17:45.861 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489465854
- DEBUG 16:17:46.089 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489466086
- DEBUG 16:17:46.326 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489466318
- DEBUG 16:17:46.557 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489466550
- DEBUG 16:17:46.789 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489466782
- DEBUG 16:17:47.018 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489467014
- DEBUG 16:17:47.253 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489467246
- DEBUG 16:17:47.484 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489467478
- DEBUG 16:17:47.719 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489467710
- DEBUG 16:17:47.949 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489467942
- DEBUG 16:17:48.180 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489468174
- DEBUG 16:17:48.182 22867 aiservice.py 4467122a4283 Batch for camera test collected, spend 5.564433574676514 sec
- INFO 16:17:48.183 22867 aiservice.py f03e3345b059 Start collecting batch for camera test, spend 5.4780824184417725 sec
- INFO 16:17:48.235 22842 aiservice.py 4467122a4283 Start processing batch for camera test, spend 5.617734909057617 sec
- DEBUG 16:17:48.236 22842 foreman.py 4467122a4283 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:17:48.249 22842 foreman.py 4467122a4283 Running=0 finished=1
- DEBUG 16:17:48.249 22842 foreman.py 4467122a4283 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:17:48.251 22865 command.py 4467122a4283 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:17:48.329 22865 command.py 4467122a4283 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:17:48.333 22842 foreman.py 4467122a4283 Running=0 finished=1
- CRITICAL 16:17:48.333 22842 foreman.py 4467122a4283 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5c0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:17:48.333 22842 foreman.py 4467122a4283 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:17:48.334 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:17:48.334 22842 aiservice.py 4467122a4283 Batch for camera test processed, spend 0.09837770462036133 sec
- DEBUG 16:17:48.334 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:17:48.357 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:17:48.357 22842 aiservice.py befff4119a77 Put batch for camera test request to queue, spend 0.00043392181396484375 sec
- DEBUG 16:17:48.409 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489468406
- DEBUG 16:17:48.637 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489468638
- DEBUG 16:17:48.875 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489468870
- DEBUG 16:17:49.101 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489469102
- DEBUG 16:17:49.338 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489469334
- DEBUG 16:17:49.569 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489469566
- DEBUG 16:17:49.801 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489469798
- DEBUG 16:17:50.034 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489470030
- DEBUG 16:17:50.265 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489470262
- DEBUG 16:17:50.497 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489470494
- DEBUG 16:17:50.726 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489470726
- DEBUG 16:17:50.961 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489470958
- DEBUG 16:17:51.193 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489471190
- DEBUG 16:17:51.421 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489471422
- DEBUG 16:17:51.653 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489471654
- DEBUG 16:17:51.885 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489471886
- DEBUG 16:17:52.117 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489472118
- DEBUG 16:17:52.349 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489472350
- DEBUG 16:17:52.581 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489472582
- DEBUG 16:17:52.813 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489472814
- DEBUG 16:17:53.045 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489473046
- DEBUG 16:17:53.276 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489473278
- DEBUG 16:17:53.509 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489473510
- DEBUG 16:17:53.740 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489473742
- DEBUG 16:17:53.741 22867 aiservice.py f03e3345b059 Batch for camera test collected, spend 5.557866334915161 sec
- INFO 16:17:53.741 22867 aiservice.py befff4119a77 Start collecting batch for camera test, spend 5.384763479232788 sec
- INFO 16:17:53.783 22842 aiservice.py f03e3345b059 Start processing batch for camera test, spend 5.600019931793213 sec
- DEBUG 16:17:53.783 22842 foreman.py f03e3345b059 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:17:53.787 22842 foreman.py f03e3345b059 Running=0 finished=1
- DEBUG 16:17:53.787 22842 foreman.py f03e3345b059 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:17:53.788 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:17:53.788 22842 aiservice.py 1f489afa0590 Put batch for camera test request to queue, spend 0.0006787776947021484 sec
- DEBUG 16:17:53.789 22865 command.py f03e3345b059 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:17:53.836 22865 command.py f03e3345b059 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:17:53.839 22842 foreman.py f03e3345b059 Running=0 finished=1
- CRITICAL 16:17:53.839 22842 foreman.py f03e3345b059 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f668> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:17:53.839 22842 foreman.py f03e3345b059 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:17:53.840 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:17:53.840 22842 aiservice.py f03e3345b059 Batch for camera test processed, spend 0.05674171447753906 sec
- DEBUG 16:17:53.840 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:17:53.973 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489473974
- DEBUG 16:17:54.209 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489474206
- DEBUG 16:17:54.441 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489474438
- DEBUG 16:17:54.673 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489474670
- DEBUG 16:17:54.905 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489474898
- DEBUG 16:17:55.137 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489475130
- DEBUG 16:17:55.369 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489475362
- DEBUG 16:17:55.601 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489475595
- DEBUG 16:17:55.833 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489475826
- DEBUG 16:17:56.064 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489476058
- DEBUG 16:17:56.299 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489476291
- DEBUG 16:17:56.530 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489476523
- DEBUG 16:17:56.761 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489476755
- DEBUG 16:17:56.993 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489476987
- DEBUG 16:17:57.225 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489477219
- DEBUG 16:17:57.457 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489477450
- DEBUG 16:17:57.689 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489477682
- DEBUG 16:17:57.921 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489477915
- DEBUG 16:17:58.153 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489478147
- DEBUG 16:17:58.386 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489478379
- DEBUG 16:17:58.617 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489478611
- DEBUG 16:17:58.849 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489478843
- DEBUG 16:17:59.081 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489479075
- DEBUG 16:17:59.312 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489479307
- DEBUG 16:17:59.313 22867 aiservice.py befff4119a77 Batch for camera test collected, spend 5.571845054626465 sec
- INFO 16:17:59.314 22867 aiservice.py 1f489afa0590 Start collecting batch for camera test, spend 5.527013778686523 sec
- INFO 16:17:59.348 22842 aiservice.py befff4119a77 Start processing batch for camera test, spend 5.606193780899048 sec
- DEBUG 16:17:59.348 22842 foreman.py befff4119a77 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:17:59.361 22842 foreman.py befff4119a77 Running=0 finished=1
- DEBUG 16:17:59.361 22842 foreman.py befff4119a77 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:17:59.363 22865 command.py befff4119a77 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:17:59.414 22865 command.py befff4119a77 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:17:59.424 22842 foreman.py befff4119a77 Running=0 finished=1
- CRITICAL 16:17:59.424 22842 foreman.py befff4119a77 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b62271668> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:17:59.424 22842 foreman.py befff4119a77 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:17:59.425 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:17:59.425 22842 aiservice.py befff4119a77 Batch for camera test processed, spend 0.0767056941986084 sec
- DEBUG 16:17:59.425 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:17:59.429 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:17:59.430 22842 aiservice.py 1c39f24ccde0 Put batch for camera test request to queue, spend 0.00040149688720703125 sec
- DEBUG 16:17:59.545 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489479539
- DEBUG 16:17:59.777 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489479771
- DEBUG 16:18:00.009 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489480003
- DEBUG 16:18:00.240 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489480235
- DEBUG 16:18:00.473 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489480467
- DEBUG 16:18:00.706 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489480699
- DEBUG 16:18:00.937 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489480931
- DEBUG 16:18:01.170 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489481163
- DEBUG 16:18:01.401 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489481395
- DEBUG 16:18:01.634 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489481627
- DEBUG 16:18:01.865 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489481859
- DEBUG 16:18:02.097 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489482091
- DEBUG 16:18:02.325 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489482323
- DEBUG 16:18:02.561 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489482555
- DEBUG 16:18:02.793 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489482787
- DEBUG 16:18:03.024 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489483019
- DEBUG 16:18:03.257 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489483251
- DEBUG 16:18:03.491 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489483483
- DEBUG 16:18:03.721 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489483715
- DEBUG 16:18:03.953 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489483947
- DEBUG 16:18:04.186 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489484179
- DEBUG 16:18:04.417 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489484411
- DEBUG 16:18:04.650 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489484643
- DEBUG 16:18:04.881 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489484875
- DEBUG 16:18:04.882 22867 aiservice.py 1f489afa0590 Batch for camera test collected, spend 5.567297697067261 sec
- INFO 16:18:04.883 22867 aiservice.py 1c39f24ccde0 Start collecting batch for camera test, spend 5.453832387924194 sec
- INFO 16:18:04.911 22842 aiservice.py 1f489afa0590 Start processing batch for camera test, spend 5.596738338470459 sec
- DEBUG 16:18:04.912 22842 foreman.py 1f489afa0590 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:04.926 22842 foreman.py 1f489afa0590 Running=0 finished=1
- DEBUG 16:18:04.926 22842 foreman.py 1f489afa0590 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:04.928 22865 command.py 1f489afa0590 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:05.006 22865 command.py 1f489afa0590 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:05.011 22842 foreman.py 1f489afa0590 Running=0 finished=1
- CRITICAL 16:18:05.011 22842 foreman.py 1f489afa0590 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4a8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:05.011 22842 foreman.py 1f489afa0590 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:05.012 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:05.012 22842 aiservice.py 1f489afa0590 Batch for camera test processed, spend 0.1003570556640625 sec
- DEBUG 16:18:05.012 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:18:05.076 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:18:05.077 22842 aiservice.py 232cff25b6e6 Put batch for camera test request to queue, spend 0.0011816024780273438 sec
- DEBUG 16:18:05.112 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489485107
- DEBUG 16:18:05.345 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489485339
- DEBUG 16:18:05.578 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489485571
- DEBUG 16:18:05.810 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489485803
- DEBUG 16:18:06.043 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489486035
- DEBUG 16:18:06.275 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489486267
- DEBUG 16:18:06.505 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489486499
- DEBUG 16:18:06.738 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489486731
- DEBUG 16:18:06.967 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489486963
- DEBUG 16:18:07.201 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489487195
- DEBUG 16:18:07.433 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489487427
- DEBUG 16:18:07.665 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489487659
- DEBUG 16:18:07.897 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489487891
- DEBUG 16:18:08.129 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489488123
- DEBUG 16:18:08.361 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489488355
- DEBUG 16:18:08.593 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489488587
- DEBUG 16:18:08.825 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489488819
- DEBUG 16:18:09.058 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489489051
- DEBUG 16:18:09.285 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489489283
- DEBUG 16:18:09.517 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489489515
- DEBUG 16:18:09.749 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489489747
- DEBUG 16:18:09.987 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489489979
- DEBUG 16:18:10.217 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489490211
- DEBUG 16:18:10.449 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489490443
- DEBUG 16:18:10.450 22867 aiservice.py 1c39f24ccde0 Batch for camera test collected, spend 5.566927433013916 sec
- INFO 16:18:10.451 22867 aiservice.py 232cff25b6e6 Start collecting batch for camera test, spend 5.375347137451172 sec
- INFO 16:18:10.458 22842 aiservice.py 1c39f24ccde0 Start processing batch for camera test, spend 5.5742881298065186 sec
- DEBUG 16:18:10.458 22842 foreman.py 1c39f24ccde0 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:18:10.465 22842 foreman.py 1c39f24ccde0 Running=0 finished=1
- DEBUG 16:18:10.465 22842 foreman.py 1c39f24ccde0 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:10.465 22865 command.py 1c39f24ccde0 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:10.512 22865 command.py 1c39f24ccde0 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:10.516 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:18:10.517 22842 aiservice.py 53e12f3678be Put batch for camera test request to queue, spend 0.0007183551788330078 sec
- DEBUG 16:18:10.520 22842 foreman.py 1c39f24ccde0 Running=0 finished=1
- CRITICAL 16:18:10.520 22842 foreman.py 1c39f24ccde0 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f630> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:10.520 22842 foreman.py 1c39f24ccde0 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:10.520 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:10.520 22842 aiservice.py 1c39f24ccde0 Batch for camera test processed, spend 0.06234860420227051 sec
- DEBUG 16:18:10.521 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:18:10.678 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489490675
- DEBUG 16:18:10.913 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489490907
- DEBUG 16:18:11.145 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489491139
- DEBUG 16:18:11.377 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489491371
- DEBUG 16:18:11.605 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489491603
- DEBUG 16:18:11.842 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489491835
- DEBUG 16:18:12.073 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489492067
- DEBUG 16:18:12.306 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489492299
- DEBUG 16:18:12.537 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489492531
- DEBUG 16:18:12.769 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489492763
- DEBUG 16:18:13.003 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489492995
- DEBUG 16:18:13.233 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489493227
- DEBUG 16:18:13.465 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489493459
- DEBUG 16:18:13.697 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489493691
- DEBUG 16:18:13.929 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489493923
- DEBUG 16:18:14.161 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489494155
- DEBUG 16:18:14.394 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489494387
- DEBUG 16:18:14.625 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489494619
- DEBUG 16:18:14.859 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489494851
- DEBUG 16:18:15.090 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489495083
- DEBUG 16:18:15.321 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489495315
- DEBUG 16:18:15.553 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489495547
- DEBUG 16:18:15.787 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489495779
- DEBUG 16:18:16.018 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489496011
- DEBUG 16:18:16.019 22867 aiservice.py 232cff25b6e6 Batch for camera test collected, spend 5.568118333816528 sec
- INFO 16:18:16.021 22867 aiservice.py 53e12f3678be Start collecting batch for camera test, spend 5.504440784454346 sec
- INFO 16:18:16.071 22842 aiservice.py 232cff25b6e6 Start processing batch for camera test, spend 5.619923114776611 sec
- DEBUG 16:18:16.072 22842 foreman.py 232cff25b6e6 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:16.087 22842 foreman.py 232cff25b6e6 Running=0 finished=1
- DEBUG 16:18:16.087 22842 foreman.py 232cff25b6e6 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:16.089 22865 command.py 232cff25b6e6 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- DEBUG 16:18:16.161 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:18:16.161 22842 aiservice.py 1ecb5c69a916 Put batch for camera test request to queue, spend 0.0006725788116455078 sec
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:16.165 22865 command.py 232cff25b6e6 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:16.172 22842 foreman.py 232cff25b6e6 Running=0 finished=1
- CRITICAL 16:18:16.172 22842 foreman.py 232cff25b6e6 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f748> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:16.172 22842 foreman.py 232cff25b6e6 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:16.173 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:16.173 22842 aiservice.py 232cff25b6e6 Batch for camera test processed, spend 0.10134625434875488 sec
- DEBUG 16:18:16.173 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:18:16.248 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489496243
- DEBUG 16:18:16.478 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489496475
- DEBUG 16:18:16.713 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489496707
- DEBUG 16:18:16.947 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489496939
- DEBUG 16:18:17.178 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489497171
- DEBUG 16:18:17.409 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489497403
- DEBUG 16:18:17.641 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489497635
- DEBUG 16:18:17.870 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489497867
- DEBUG 16:18:18.101 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489498099
- DEBUG 16:18:18.334 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489498331
- DEBUG 16:18:18.565 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489498563
- DEBUG 16:18:18.793 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489498795
- DEBUG 16:18:19.025 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489499027
- DEBUG 16:18:19.261 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489499259
- DEBUG 16:18:19.491 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489499491
- DEBUG 16:18:19.725 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489499723
- DEBUG 16:18:19.957 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489499955
- DEBUG 16:18:20.190 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489500187
- DEBUG 16:18:20.421 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489500419
- DEBUG 16:18:20.652 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489500651
- DEBUG 16:18:20.886 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489500883
- DEBUG 16:18:21.117 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489501115
- DEBUG 16:18:21.349 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489501347
- DEBUG 16:18:21.577 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489501579
- DEBUG 16:18:21.577 22867 aiservice.py 53e12f3678be Batch for camera test collected, spend 5.55617356300354 sec
- INFO 16:18:21.577 22867 aiservice.py 1ecb5c69a916 Start collecting batch for camera test, spend 5.416975736618042 sec
- DEBUG 16:18:21.605 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:18:21.605 22842 aiservice.py 795de217e0c5 Put batch for camera test request to queue, spend 0.0007016658782958984 sec
- INFO 16:18:21.633 22842 aiservice.py 53e12f3678be Start processing batch for camera test, spend 5.6117095947265625 sec
- DEBUG 16:18:21.633 22842 foreman.py 53e12f3678be Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:18:21.637 22842 foreman.py 53e12f3678be Running=0 finished=1
- DEBUG 16:18:21.637 22842 foreman.py 53e12f3678be Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:21.637 22865 command.py 53e12f3678be Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:21.687 22865 command.py 53e12f3678be Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:21.693 22842 foreman.py 53e12f3678be Running=0 finished=1
- CRITICAL 16:18:21.693 22842 foreman.py 53e12f3678be Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f438> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:21.693 22842 foreman.py 53e12f3678be Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:21.693 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:21.693 22842 aiservice.py 53e12f3678be Batch for camera test processed, spend 0.06073164939880371 sec
- DEBUG 16:18:21.694 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:18:21.810 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489501811
- DEBUG 16:18:22.041 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489502043
- DEBUG 16:18:22.277 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489502275
- DEBUG 16:18:22.509 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489502507
- DEBUG 16:18:22.741 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489502739
- DEBUG 16:18:22.973 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489502971
- DEBUG 16:18:23.205 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489503203
- DEBUG 16:18:23.437 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489503435
- DEBUG 16:18:23.669 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489503667
- DEBUG 16:18:23.901 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489503899
- DEBUG 16:18:24.133 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489504131
- DEBUG 16:18:24.361 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489504359
- DEBUG 16:18:24.594 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489504591
- DEBUG 16:18:24.830 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489504823
- DEBUG 16:18:25.062 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489505055
- DEBUG 16:18:25.293 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489505287
- DEBUG 16:18:25.521 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489505519
- DEBUG 16:18:25.757 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489505751
- DEBUG 16:18:25.990 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489505983
- DEBUG 16:18:26.221 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489506215
- DEBUG 16:18:26.454 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489506447
- DEBUG 16:18:26.685 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489506679
- DEBUG 16:18:26.917 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489506911
- DEBUG 16:18:27.150 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489507143
- DEBUG 16:18:27.152 22867 aiservice.py 1ecb5c69a916 Batch for camera test collected, spend 5.575019598007202 sec
- INFO 16:18:27.153 22867 aiservice.py 795de217e0c5 Start collecting batch for camera test, spend 5.548831224441528 sec
- INFO 16:18:27.203 22842 aiservice.py 1ecb5c69a916 Start processing batch for camera test, spend 5.626060724258423 sec
- DEBUG 16:18:27.204 22842 foreman.py 1ecb5c69a916 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:27.217 22842 foreman.py 1ecb5c69a916 Running=0 finished=1
- DEBUG 16:18:27.217 22842 foreman.py 1ecb5c69a916 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:27.219 22865 command.py 1ecb5c69a916 Start core.cnn
- 24
- DEBUG 16:18:27.246 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:18:27.247 22842 aiservice.py 7c365adaad95 Put batch for camera test request to queue, spend 0.0018880367279052734 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:27.287 22865 command.py 1ecb5c69a916 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:27.291 22842 foreman.py 1ecb5c69a916 Running=0 finished=1
- CRITICAL 16:18:27.291 22842 foreman.py 1ecb5c69a916 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5f8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:27.291 22842 foreman.py 1ecb5c69a916 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:27.292 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:27.292 22842 aiservice.py 1ecb5c69a916 Batch for camera test processed, spend 0.08831429481506348 sec
- DEBUG 16:18:27.292 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:18:27.383 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489507375
- DEBUG 16:18:27.613 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489507607
- DEBUG 16:18:27.845 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489507839
- DEBUG 16:18:28.077 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489508071
- DEBUG 16:18:28.309 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489508303
- DEBUG 16:18:28.537 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489508535
- DEBUG 16:18:28.773 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489508767
- DEBUG 16:18:29.007 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489508999
- DEBUG 16:18:29.237 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489509231
- DEBUG 16:18:29.470 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489509463
- DEBUG 16:18:29.701 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489509695
- DEBUG 16:18:29.933 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489509927
- DEBUG 16:18:30.161 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489510159
- DEBUG 16:18:30.397 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489510391
- DEBUG 16:18:30.630 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489510623
- DEBUG 16:18:30.861 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489510855
- DEBUG 16:18:31.094 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489511087
- DEBUG 16:18:31.325 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489511319
- DEBUG 16:18:31.557 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489511551
- DEBUG 16:18:31.789 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489511783
- DEBUG 16:18:32.021 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489512015
- DEBUG 16:18:32.249 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489512247
- DEBUG 16:18:32.483 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489512479
- DEBUG 16:18:32.718 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489512711
- DEBUG 16:18:32.720 22867 aiservice.py 795de217e0c5 Batch for camera test collected, spend 5.566285848617554 sec
- INFO 16:18:32.720 22867 aiservice.py 7c365adaad95 Start collecting batch for camera test, spend 5.47514009475708 sec
- INFO 16:18:32.752 22842 aiservice.py 795de217e0c5 Start processing batch for camera test, spend 5.59834361076355 sec
- DEBUG 16:18:32.753 22842 foreman.py 795de217e0c5 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:32.766 22842 foreman.py 795de217e0c5 Running=0 finished=1
- DEBUG 16:18:32.767 22842 foreman.py 795de217e0c5 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:32.769 22865 command.py 795de217e0c5 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:32.837 22865 command.py 795de217e0c5 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:32.840 22842 foreman.py 795de217e0c5 Running=0 finished=1
- CRITICAL 16:18:32.840 22842 foreman.py 795de217e0c5 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f710> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:32.840 22842 foreman.py 795de217e0c5 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:32.841 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:32.841 22842 aiservice.py 795de217e0c5 Batch for camera test processed, spend 0.08893442153930664 sec
- DEBUG 16:18:32.841 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:18:32.900 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:18:32.900 22842 aiservice.py 6f7e607d618c Put batch for camera test request to queue, spend 0.0008256435394287109 sec
- DEBUG 16:18:32.950 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489512943
- DEBUG 16:18:33.181 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489513175
- DEBUG 16:18:33.414 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489513407
- DEBUG 16:18:33.641 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489513639
- DEBUG 16:18:33.877 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489513871
- DEBUG 16:18:34.110 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489514103
- DEBUG 16:18:34.341 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489514335
- DEBUG 16:18:34.575 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489514567
- DEBUG 16:18:34.801 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489514799
- DEBUG 16:18:35.037 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489515031
- DEBUG 16:18:35.269 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489515263
- DEBUG 16:18:35.502 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489515495
- DEBUG 16:18:35.734 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489515727
- DEBUG 16:18:35.961 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489515959
- DEBUG 16:18:36.194 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489516191
- DEBUG 16:18:36.425 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489516423
- DEBUG 16:18:36.657 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489516655
- DEBUG 16:18:36.889 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489516887
- DEBUG 16:18:37.125 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489517119
- DEBUG 16:18:37.357 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489517351
- DEBUG 16:18:37.589 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489517583
- DEBUG 16:18:37.817 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489517815
- DEBUG 16:18:38.054 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489518047
- DEBUG 16:18:38.285 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489518279
- DEBUG 16:18:38.287 22867 aiservice.py 7c365adaad95 Batch for camera test collected, spend 5.566610813140869 sec
- INFO 16:18:38.288 22867 aiservice.py 6f7e607d618c Start collecting batch for camera test, spend 5.388692140579224 sec
- INFO 16:18:38.295 22842 aiservice.py 7c365adaad95 Start processing batch for camera test, spend 5.574621915817261 sec
- DEBUG 16:18:38.296 22842 foreman.py 7c365adaad95 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:38.309 22842 foreman.py 7c365adaad95 Running=0 finished=1
- DEBUG 16:18:38.309 22842 foreman.py 7c365adaad95 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:38.311 22865 command.py 7c365adaad95 Start core.cnn
- 24
- DEBUG 16:18:38.348 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:18:38.349 22842 aiservice.py 27c10e4a6d06 Put batch for camera test request to queue, spend 0.0012497901916503906 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:38.387 22865 command.py 7c365adaad95 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:38.395 22842 foreman.py 7c365adaad95 Running=0 finished=1
- CRITICAL 16:18:38.395 22842 foreman.py 7c365adaad95 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5c0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:38.395 22842 foreman.py 7c365adaad95 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:38.396 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:38.396 22842 aiservice.py 7c365adaad95 Batch for camera test processed, spend 0.10014724731445312 sec
- DEBUG 16:18:38.396 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:18:38.517 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489518511
- DEBUG 16:18:38.749 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489518743
- DEBUG 16:18:38.981 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489518975
- DEBUG 16:18:39.213 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489519207
- DEBUG 16:18:39.445 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489519439
- DEBUG 16:18:39.677 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489519671
- DEBUG 16:18:39.910 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489519903
- DEBUG 16:18:40.138 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489520135
- DEBUG 16:18:40.369 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489520367
- DEBUG 16:18:40.606 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489520599
- DEBUG 16:18:40.837 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489520831
- DEBUG 16:18:41.069 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489521063
- DEBUG 16:18:41.299 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489521295
- DEBUG 16:18:41.536 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489521527
- DEBUG 16:18:41.765 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489521759
- DEBUG 16:18:41.998 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489521991
- DEBUG 16:18:42.229 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489522223
- DEBUG 16:18:42.462 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489522455
- DEBUG 16:18:42.693 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489522687
- DEBUG 16:18:42.926 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489522919
- DEBUG 16:18:43.158 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489523151
- DEBUG 16:18:43.390 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489523383
- DEBUG 16:18:43.622 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489523615
- DEBUG 16:18:43.853 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489523847
- DEBUG 16:18:43.854 22867 aiservice.py 6f7e607d618c Batch for camera test collected, spend 5.566078424453735 sec
- INFO 16:18:43.855 22867 aiservice.py 27c10e4a6d06 Start collecting batch for camera test, spend 5.507776498794556 sec
- INFO 16:18:43.858 22842 aiservice.py 6f7e607d618c Start processing batch for camera test, spend 5.5701584815979 sec
- DEBUG 16:18:43.859 22842 foreman.py 6f7e607d618c Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:43.872 22842 foreman.py 6f7e607d618c Running=0 finished=1
- DEBUG 16:18:43.872 22842 foreman.py 6f7e607d618c Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:43.873 22865 command.py 6f7e607d618c Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:43.940 22865 command.py 6f7e607d618c Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:43.945 22842 foreman.py 6f7e607d618c Running=0 finished=1
- CRITICAL 16:18:43.946 22842 foreman.py 6f7e607d618c Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4e0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:43.946 22842 foreman.py 6f7e607d618c Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:43.946 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:43.946 22842 aiservice.py 6f7e607d618c Batch for camera test processed, spend 0.08782482147216797 sec
- DEBUG 16:18:43.947 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:18:44.000 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:18:44.001 22842 aiservice.py e731f6cbae6a Put batch for camera test request to queue, spend 0.0012288093566894531 sec
- DEBUG 16:18:44.085 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489524079
- DEBUG 16:18:44.319 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489524311
- DEBUG 16:18:44.549 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489524543
- DEBUG 16:18:44.782 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489524775
- DEBUG 16:18:45.013 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489525007
- DEBUG 16:18:45.246 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489525239
- DEBUG 16:18:45.478 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489525471
- DEBUG 16:18:45.709 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489525703
- DEBUG 16:18:45.942 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489525935
- DEBUG 16:18:46.174 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489526167
- DEBUG 16:18:46.406 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489526399
- DEBUG 16:18:46.637 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489526631
- DEBUG 16:18:46.871 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489526863
- DEBUG 16:18:47.098 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489527095
- DEBUG 16:18:47.329 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489527327
- DEBUG 16:18:47.562 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489527559
- DEBUG 16:18:47.794 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489527791
- DEBUG 16:18:48.025 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489528023
- DEBUG 16:18:48.258 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489528255
- DEBUG 16:18:48.490 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489528487
- DEBUG 16:18:48.723 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489528719
- DEBUG 16:18:48.954 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489528951
- DEBUG 16:18:49.186 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489529183
- DEBUG 16:18:49.417 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489529415
- DEBUG 16:18:49.418 22867 aiservice.py 27c10e4a6d06 Batch for camera test collected, spend 5.562716960906982 sec
- INFO 16:18:49.419 22867 aiservice.py e731f6cbae6a Start collecting batch for camera test, spend 5.419525623321533 sec
- DEBUG 16:18:49.442 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:18:49.443 22842 aiservice.py e2c6eb8520f5 Put batch for camera test request to queue, spend 0.002534151077270508 sec
- INFO 16:18:49.446 22842 aiservice.py 27c10e4a6d06 Start processing batch for camera test, spend 5.590879440307617 sec
- DEBUG 16:18:49.447 22842 foreman.py 27c10e4a6d06 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:18:49.460 22842 foreman.py 27c10e4a6d06 Running=0 finished=1
- DEBUG 16:18:49.461 22842 foreman.py 27c10e4a6d06 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- 24
- DEBUG 16:18:49.462 22865 command.py 27c10e4a6d06 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:49.539 22865 command.py 27c10e4a6d06 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:49.545 22842 foreman.py 27c10e4a6d06 Running=0 finished=1
- CRITICAL 16:18:49.545 22842 foreman.py 27c10e4a6d06 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f668> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:49.545 22842 foreman.py 27c10e4a6d06 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:49.546 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:49.546 22842 aiservice.py 27c10e4a6d06 Batch for camera test processed, spend 0.09958648681640625 sec
- DEBUG 16:18:49.546 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:18:49.645 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489529647
- DEBUG 16:18:49.882 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489529879
- DEBUG 16:18:50.113 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489530111
- DEBUG 16:18:50.348 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489530343
- DEBUG 16:18:50.578 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489530575
- DEBUG 16:18:50.810 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489530807
- DEBUG 16:18:51.042 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489531039
- DEBUG 16:18:51.273 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489531271
- DEBUG 16:18:51.505 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489531503
- DEBUG 16:18:51.738 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489531735
- DEBUG 16:18:51.969 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489531967
- DEBUG 16:18:52.202 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489532199
- DEBUG 16:18:52.433 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489532431
- DEBUG 16:18:52.667 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489532663
- DEBUG 16:18:52.899 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489532895
- DEBUG 16:18:53.129 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489533127
- DEBUG 16:18:53.362 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489533359
- DEBUG 16:18:53.590 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489533591
- DEBUG 16:18:53.821 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489533819
- DEBUG 16:18:54.057 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489534051
- DEBUG 16:18:54.286 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489534283
- DEBUG 16:18:54.518 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489534515
- DEBUG 16:18:54.755 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489534747
- DEBUG 16:18:54.981 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489534979
- DEBUG 16:18:54.981 22867 aiservice.py e731f6cbae6a Batch for camera test collected, spend 5.562138319015503 sec
- INFO 16:18:54.982 22867 aiservice.py e2c6eb8520f5 Start collecting batch for camera test, spend 5.541039228439331 sec
- INFO 16:18:54.992 22842 aiservice.py e731f6cbae6a Start processing batch for camera test, spend 5.572863578796387 sec
- DEBUG 16:18:54.992 22842 foreman.py e731f6cbae6a Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:18:54.997 22842 foreman.py e731f6cbae6a Running=0 finished=1
- DEBUG 16:18:54.997 22842 foreman.py e731f6cbae6a Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:18:54.997 22865 command.py e731f6cbae6a Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:18:55.059 22865 command.py e731f6cbae6a Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:18:55.063 22842 foreman.py e731f6cbae6a Running=0 finished=1
- CRITICAL 16:18:55.063 22842 foreman.py e731f6cbae6a Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f6d8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:18:55.063 22842 foreman.py e731f6cbae6a Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:18:55.063 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:18:55.063 22842 aiservice.py e731f6cbae6a Batch for camera test processed, spend 0.07116818428039551 sec
- DEBUG 16:18:55.064 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:18:55.089 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:18:55.089 22842 aiservice.py 5a83a06edcfb Put batch for camera test request to queue, spend 0.00043082237243652344 sec
- DEBUG 16:18:55.218 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489535211
- DEBUG 16:18:55.445 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489535443
- DEBUG 16:18:55.681 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489535675
- DEBUG 16:18:55.913 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489535907
- DEBUG 16:18:56.145 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489536139
- DEBUG 16:18:56.378 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489536371
- DEBUG 16:18:56.609 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489536603
- DEBUG 16:18:56.841 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489536835
- DEBUG 16:18:57.074 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489537067
- DEBUG 16:18:57.306 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489537299
- DEBUG 16:18:57.537 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489537531
- DEBUG 16:18:57.765 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489537763
- DEBUG 16:18:58.001 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489537995
- DEBUG 16:18:58.229 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489538227
- DEBUG 16:18:58.466 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489538459
- DEBUG 16:18:58.697 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489538691
- DEBUG 16:18:58.930 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489538923
- DEBUG 16:18:59.163 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489539155
- DEBUG 16:18:59.393 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489539387
- DEBUG 16:18:59.626 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489539619
- DEBUG 16:18:59.853 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489539851
- DEBUG 16:19:00.086 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489540083
- DEBUG 16:19:00.320 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489540315
- DEBUG 16:19:00.553 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489540547
- DEBUG 16:19:00.554 22867 aiservice.py e2c6eb8520f5 Batch for camera test collected, spend 5.572315692901611 sec
- INFO 16:19:00.555 22867 aiservice.py 5a83a06edcfb Start collecting batch for camera test, spend 5.466270208358765 sec
- INFO 16:19:00.581 22842 aiservice.py e2c6eb8520f5 Start processing batch for camera test, spend 5.598905324935913 sec
- DEBUG 16:19:00.581 22842 foreman.py e2c6eb8520f5 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:19:00.594 22842 foreman.py e2c6eb8520f5 Running=0 finished=1
- DEBUG 16:19:00.594 22842 foreman.py e2c6eb8520f5 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:00.596 22865 command.py e2c6eb8520f5 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- ERROR 16:19:00.665 22865 command.py e2c6eb8520f5 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- DEBUG 16:19:00.667 22842 foreman.py e2c6eb8520f5 Running=0 finished=1
- CRITICAL 16:19:00.667 22842 foreman.py e2c6eb8520f5 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4a8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:00.667 22842 foreman.py e2c6eb8520f5 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:00.668 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:00.668 22842 aiservice.py e2c6eb8520f5 Batch for camera test processed, spend 0.08694124221801758 sec
- DEBUG 16:19:00.668 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:19:00.727 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:19:00.727 22842 aiservice.py 4d46a0c33416 Put batch for camera test request to queue, spend 0.0009133815765380859 sec
- DEBUG 16:19:00.785 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489540779
- DEBUG 16:19:01.013 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489541011
- DEBUG 16:19:01.249 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489541243
- DEBUG 16:19:01.480 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489541475
- DEBUG 16:19:01.714 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489541707
- DEBUG 16:19:01.945 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489541939
- DEBUG 16:19:02.178 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489542171
- DEBUG 16:19:02.408 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489542403
- DEBUG 16:19:02.642 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489542635
- DEBUG 16:19:02.870 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489542867
- DEBUG 16:19:03.105 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489543099
- DEBUG 16:19:03.338 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489543331
- DEBUG 16:19:03.569 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489543563
- DEBUG 16:19:03.797 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489543795
- DEBUG 16:19:04.033 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489544027
- DEBUG 16:19:04.266 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489544259
- DEBUG 16:19:04.494 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489544491
- DEBUG 16:19:04.726 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489544723
- DEBUG 16:19:04.962 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489544955
- DEBUG 16:19:05.194 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489545187
- DEBUG 16:19:05.425 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489545419
- DEBUG 16:19:05.657 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489545651
- DEBUG 16:19:05.885 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489545883
- DEBUG 16:19:06.122 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489546115
- DEBUG 16:19:06.124 22867 aiservice.py 5a83a06edcfb Batch for camera test collected, spend 5.568626880645752 sec
- INFO 16:19:06.124 22867 aiservice.py 4d46a0c33416 Start collecting batch for camera test, spend 5.397520065307617 sec
- INFO 16:19:06.166 22842 aiservice.py 5a83a06edcfb Start processing batch for camera test, spend 5.610841751098633 sec
- DEBUG 16:19:06.167 22842 foreman.py 5a83a06edcfb Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:06.181 22842 foreman.py 5a83a06edcfb Running=0 finished=1
- DEBUG 16:19:06.181 22842 foreman.py 5a83a06edcfb Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:06.184 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:19:06.185 22842 aiservice.py 519d88d5e0d4 Put batch for camera test request to queue, spend 0.0026466846466064453 sec
- 24
- DEBUG 16:19:06.188 22865 command.py 5a83a06edcfb Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:06.268 22865 command.py 5a83a06edcfb Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:06.275 22842 foreman.py 5a83a06edcfb Running=0 finished=1
- CRITICAL 16:19:06.275 22842 foreman.py 5a83a06edcfb Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f630> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:06.276 22842 foreman.py 5a83a06edcfb Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:06.276 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:06.276 22842 aiservice.py 5a83a06edcfb Batch for camera test processed, spend 0.1101541519165039 sec
- DEBUG 16:19:06.277 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:19:06.353 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489546347
- DEBUG 16:19:06.581 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489546579
- DEBUG 16:19:06.817 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489546811
- DEBUG 16:19:07.050 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489547043
- DEBUG 16:19:07.281 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489547275
- DEBUG 16:19:07.514 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489547507
- DEBUG 16:19:07.742 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489547739
- DEBUG 16:19:07.977 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489547971
- DEBUG 16:19:08.212 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489548203
- DEBUG 16:19:08.437 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489548435
- DEBUG 16:19:08.675 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489548667
- DEBUG 16:19:08.905 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489548899
- DEBUG 16:19:09.134 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489549131
- DEBUG 16:19:09.369 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489549363
- DEBUG 16:19:09.602 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489549595
- DEBUG 16:19:09.834 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489549827
- DEBUG 16:19:10.066 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489550059
- DEBUG 16:19:10.297 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489550291
- DEBUG 16:19:10.529 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489550523
- DEBUG 16:19:10.762 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489550755
- DEBUG 16:19:10.994 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489550987
- DEBUG 16:19:11.225 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489551219
- DEBUG 16:19:11.458 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489551451
- DEBUG 16:19:11.690 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489551683
- DEBUG 16:19:11.693 22867 aiservice.py 4d46a0c33416 Batch for camera test collected, spend 5.568313360214233 sec
- INFO 16:19:11.693 22867 aiservice.py 519d88d5e0d4 Start collecting batch for camera test, spend 5.511116981506348 sec
- INFO 16:19:11.728 22842 aiservice.py 4d46a0c33416 Start processing batch for camera test, spend 5.603930950164795 sec
- DEBUG 16:19:11.729 22842 foreman.py 4d46a0c33416 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:11.744 22842 foreman.py 4d46a0c33416 Running=0 finished=1
- 24
- DEBUG 16:19:11.744 22842 foreman.py 4d46a0c33416 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:11.746 22865 command.py 4d46a0c33416 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- ERROR 16:19:11.824 22865 command.py 4d46a0c33416 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- DEBUG 16:19:11.829 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:19:11.829 22842 aiservice.py 4372cd30e49d Put batch for camera test request to queue, spend 0.0005295276641845703 sec
- DEBUG 16:19:11.830 22842 foreman.py 4d46a0c33416 Running=0 finished=1
- CRITICAL 16:19:11.830 22842 foreman.py 4d46a0c33416 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f748> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:11.830 22842 foreman.py 4d46a0c33416 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:11.830 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:11.830 22842 aiservice.py 4d46a0c33416 Batch for camera test processed, spend 0.1019737720489502 sec
- DEBUG 16:19:11.831 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:19:11.918 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489551915
- DEBUG 16:19:12.155 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489552147
- DEBUG 16:19:12.386 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489552379
- DEBUG 16:19:12.618 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489552611
- DEBUG 16:19:12.850 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489552843
- DEBUG 16:19:13.082 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489553075
- DEBUG 16:19:13.314 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489553307
- DEBUG 16:19:13.545 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489553539
- DEBUG 16:19:13.778 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489553771
- DEBUG 16:19:14.010 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489554003
- DEBUG 16:19:14.238 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489554235
- DEBUG 16:19:14.475 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489554467
- DEBUG 16:19:14.707 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489554699
- DEBUG 16:19:14.937 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489554931
- DEBUG 16:19:15.166 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489555163
- DEBUG 16:19:15.402 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489555395
- DEBUG 16:19:15.635 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489555627
- DEBUG 16:19:15.864 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489555859
- DEBUG 16:19:16.094 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489556091
- DEBUG 16:19:16.326 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489556323
- DEBUG 16:19:16.557 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489556555
- DEBUG 16:19:16.790 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489556787
- DEBUG 16:19:17.021 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489557019
- DEBUG 16:19:17.252 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489557251
- DEBUG 16:19:17.253 22867 aiservice.py 519d88d5e0d4 Batch for camera test collected, spend 5.558942079544067 sec
- INFO 16:19:17.254 22867 aiservice.py 4372cd30e49d Start collecting batch for camera test, spend 5.425291538238525 sec
- DEBUG 16:19:17.273 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:19:17.274 22842 aiservice.py 0ef380873e2b Put batch for camera test request to queue, spend 0.0008943080902099609 sec
- INFO 16:19:17.293 22842 aiservice.py 519d88d5e0d4 Start processing batch for camera test, spend 5.598935842514038 sec
- DEBUG 16:19:17.294 22842 foreman.py 519d88d5e0d4 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:17.297 22842 foreman.py 519d88d5e0d4 Running=0 finished=1
- DEBUG 16:19:17.298 22842 foreman.py 519d88d5e0d4 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:17.298 22865 command.py 519d88d5e0d4 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:17.348 22865 command.py 519d88d5e0d4 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:17.353 22842 foreman.py 519d88d5e0d4 Running=0 finished=1
- CRITICAL 16:19:17.353 22842 foreman.py 519d88d5e0d4 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f438> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:17.353 22842 foreman.py 519d88d5e0d4 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:17.353 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:17.353 22842 aiservice.py 519d88d5e0d4 Batch for camera test processed, spend 0.059983253479003906 sec
- DEBUG 16:19:17.354 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:19:17.485 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489557483
- DEBUG 16:19:17.718 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489557715
- DEBUG 16:19:17.950 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489557947
- DEBUG 16:19:18.182 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489558179
- DEBUG 16:19:18.414 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489558411
- DEBUG 16:19:18.645 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489558643
- DEBUG 16:19:18.878 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489558875
- DEBUG 16:19:19.110 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489559107
- DEBUG 16:19:19.343 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489559339
- DEBUG 16:19:19.570 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489559571
- DEBUG 16:19:19.802 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489559803
- DEBUG 16:19:20.034 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489560035
- DEBUG 16:19:20.266 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489560267
- DEBUG 16:19:20.498 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489560499
- DEBUG 16:19:20.734 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489560731
- DEBUG 16:19:20.965 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489560963
- DEBUG 16:19:21.198 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489561195
- DEBUG 16:19:21.430 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489561427
- DEBUG 16:19:21.658 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489561659
- DEBUG 16:19:21.895 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489561891
- DEBUG 16:19:22.125 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489562123
- DEBUG 16:19:22.359 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489562355
- DEBUG 16:19:22.589 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489562587
- DEBUG 16:19:22.823 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489562815
- DEBUG 16:19:22.824 22867 aiservice.py 4372cd30e49d Batch for camera test collected, spend 5.569787979125977 sec
- INFO 16:19:22.825 22867 aiservice.py 0ef380873e2b Start collecting batch for camera test, spend 5.5518457889556885 sec
- INFO 16:19:22.857 22842 aiservice.py 4372cd30e49d Start processing batch for camera test, spend 5.603182554244995 sec
- DEBUG 16:19:22.858 22842 foreman.py 4372cd30e49d Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:22.874 22842 foreman.py 4372cd30e49d Running=0 finished=1
- DEBUG 16:19:22.874 22842 foreman.py 4372cd30e49d Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:22.876 22865 command.py 4372cd30e49d Start core.cnn
- 24
- DEBUG 16:19:22.910 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:19:22.911 22842 aiservice.py 1ce75f0dcaba Put batch for camera test request to queue, spend 0.0015232563018798828 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:22.957 22865 command.py 4372cd30e49d Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:22.959 22842 foreman.py 4372cd30e49d Running=0 finished=1
- CRITICAL 16:19:22.959 22842 foreman.py 4372cd30e49d Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5f8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:22.959 22842 foreman.py 4372cd30e49d Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:22.959 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:22.959 22842 aiservice.py 4372cd30e49d Batch for camera test processed, spend 0.10164523124694824 sec
- DEBUG 16:19:22.960 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:19:23.054 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489563047
- DEBUG 16:19:23.287 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489563279
- DEBUG 16:19:23.518 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489563511
- DEBUG 16:19:23.750 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489563743
- DEBUG 16:19:23.982 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489563975
- DEBUG 16:19:24.214 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489564207
- DEBUG 16:19:24.446 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489564439
- DEBUG 16:19:24.678 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489564671
- DEBUG 16:19:24.911 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489564903
- DEBUG 16:19:25.142 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489565135
- DEBUG 16:19:25.374 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489565367
- DEBUG 16:19:25.606 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489565599
- DEBUG 16:19:25.837 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489565831
- DEBUG 16:19:26.070 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489566063
- DEBUG 16:19:26.302 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489566295
- DEBUG 16:19:26.534 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489566527
- DEBUG 16:19:26.766 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489566759
- DEBUG 16:19:26.998 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489566991
- DEBUG 16:19:27.230 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489567223
- DEBUG 16:19:27.462 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489567455
- DEBUG 16:19:27.694 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489567687
- DEBUG 16:19:27.925 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489567919
- DEBUG 16:19:28.155 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489568151
- DEBUG 16:19:28.386 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489568383
- DEBUG 16:19:28.387 22867 aiservice.py 0ef380873e2b Batch for camera test collected, spend 5.5624167919158936 sec
- INFO 16:19:28.388 22867 aiservice.py 1ce75f0dcaba Start collecting batch for camera test, spend 5.4780097007751465 sec
- INFO 16:19:28.420 22842 aiservice.py 0ef380873e2b Start processing batch for camera test, spend 5.595560312271118 sec
- DEBUG 16:19:28.421 22842 foreman.py 0ef380873e2b Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:28.424 22842 foreman.py 0ef380873e2b Running=0 finished=1
- DEBUG 16:19:28.424 22842 foreman.py 0ef380873e2b Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:28.425 22865 command.py 0ef380873e2b Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:28.478 22865 command.py 0ef380873e2b Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:28.484 22842 foreman.py 0ef380873e2b Running=0 finished=1
- CRITICAL 16:19:28.485 22842 foreman.py 0ef380873e2b Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f710> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:28.485 22842 foreman.py 0ef380873e2b Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:28.485 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:28.485 22842 aiservice.py 0ef380873e2b Batch for camera test processed, spend 0.06476974487304688 sec
- DEBUG 16:19:28.486 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:19:28.558 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:19:28.559 22842 aiservice.py 51b76487f5c8 Put batch for camera test request to queue, spend 0.0010690689086914062 sec
- DEBUG 16:19:28.621 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489568615
- DEBUG 16:19:28.855 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489568847
- DEBUG 16:19:29.083 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489569079
- DEBUG 16:19:29.320 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489569311
- DEBUG 16:19:29.550 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489569543
- DEBUG 16:19:29.782 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489569775
- DEBUG 16:19:30.015 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489570007
- DEBUG 16:19:30.247 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489570239
- DEBUG 16:19:30.478 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489570471
- DEBUG 16:19:30.710 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489570703
- DEBUG 16:19:30.941 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489570935
- DEBUG 16:19:31.174 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489571167
- DEBUG 16:19:31.407 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489571399
- DEBUG 16:19:31.639 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489571631
- DEBUG 16:19:31.870 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489571863
- DEBUG 16:19:32.102 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489572095
- DEBUG 16:19:32.334 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489572327
- DEBUG 16:19:32.566 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489572559
- DEBUG 16:19:32.798 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489572791
- DEBUG 16:19:33.030 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489573023
- DEBUG 16:19:33.262 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489573255
- DEBUG 16:19:33.490 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489573487
- DEBUG 16:19:33.725 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489573719
- DEBUG 16:19:33.958 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489573951
- DEBUG 16:19:33.959 22867 aiservice.py 1ce75f0dcaba Batch for camera test collected, spend 5.570969820022583 sec
- INFO 16:19:33.960 22867 aiservice.py 51b76487f5c8 Start collecting batch for camera test, spend 5.4020116329193115 sec
- DEBUG 16:19:34.006 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:19:34.007 22842 aiservice.py 34ed58fcadd2 Put batch for camera test request to queue, spend 0.002313375473022461 sec
- INFO 16:19:34.011 22842 aiservice.py 1ce75f0dcaba Start processing batch for camera test, spend 5.623271703720093 sec
- DEBUG 16:19:34.012 22842 foreman.py 1ce75f0dcaba Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:34.024 22842 foreman.py 1ce75f0dcaba Running=0 finished=1
- DEBUG 16:19:34.025 22842 foreman.py 1ce75f0dcaba Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- 24
- DEBUG 16:19:34.026 22865 command.py 1ce75f0dcaba Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:34.089 22865 command.py 1ce75f0dcaba Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:34.098 22842 foreman.py 1ce75f0dcaba Running=0 finished=1
- CRITICAL 16:19:34.098 22842 foreman.py 1ce75f0dcaba Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5c0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:34.098 22842 foreman.py 1ce75f0dcaba Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:34.098 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:34.098 22842 aiservice.py 1ce75f0dcaba Batch for camera test processed, spend 0.08723282814025879 sec
- DEBUG 16:19:34.099 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:19:34.190 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489574183
- DEBUG 16:19:34.422 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489574415
- DEBUG 16:19:34.653 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489574647
- DEBUG 16:19:34.886 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489574879
- DEBUG 16:19:35.118 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489575111
- DEBUG 16:19:35.350 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489575343
- DEBUG 16:19:35.582 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489575575
- DEBUG 16:19:35.813 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489575807
- DEBUG 16:19:36.046 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489576039
- DEBUG 16:19:36.278 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489576271
- DEBUG 16:19:36.510 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489576503
- DEBUG 16:19:36.743 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489576735
- DEBUG 16:19:36.975 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489576967
- DEBUG 16:19:37.206 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489577199
- DEBUG 16:19:37.437 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489577431
- DEBUG 16:19:37.667 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489577663
- DEBUG 16:19:37.901 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489577895
- DEBUG 16:19:38.135 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489578127
- DEBUG 16:19:38.362 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489578359
- DEBUG 16:19:38.597 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489578591
- DEBUG 16:19:38.830 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489578823
- DEBUG 16:19:39.062 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489579055
- DEBUG 16:19:39.294 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489579287
- DEBUG 16:19:39.526 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489579519
- DEBUG 16:19:39.528 22867 aiservice.py 51b76487f5c8 Batch for camera test collected, spend 5.567601680755615 sec
- INFO 16:19:39.529 22867 aiservice.py 34ed58fcadd2 Start collecting batch for camera test, spend 5.524108409881592 sec
- INFO 16:19:39.556 22842 aiservice.py 51b76487f5c8 Start processing batch for camera test, spend 5.595614433288574 sec
- DEBUG 16:19:39.556 22842 foreman.py 51b76487f5c8 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:39.572 22842 foreman.py 51b76487f5c8 Running=0 finished=1
- DEBUG 16:19:39.572 22842 foreman.py 51b76487f5c8 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:39.574 22865 command.py 51b76487f5c8 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:39.633 22865 command.py 51b76487f5c8 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:39.635 22842 foreman.py 51b76487f5c8 Running=0 finished=1
- CRITICAL 16:19:39.635 22842 foreman.py 51b76487f5c8 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4e0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:39.635 22842 foreman.py 51b76487f5c8 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:39.636 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:39.636 22842 aiservice.py 51b76487f5c8 Batch for camera test processed, spend 0.08015298843383789 sec
- DEBUG 16:19:39.636 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:19:39.651 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:19:39.652 22842 aiservice.py 293d931ea738 Put batch for camera test request to queue, spend 0.0005486011505126953 sec
- DEBUG 16:19:39.758 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489579751
- DEBUG 16:19:39.991 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489579983
- DEBUG 16:19:40.224 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489580215
- DEBUG 16:19:40.454 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489580447
- DEBUG 16:19:40.686 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489580679
- DEBUG 16:19:40.918 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489580911
- DEBUG 16:19:41.151 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489581143
- DEBUG 16:19:41.382 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489581375
- DEBUG 16:19:41.609 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489581607
- DEBUG 16:19:41.847 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489581839
- DEBUG 16:19:42.078 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489582071
- DEBUG 16:19:42.310 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489582303
- DEBUG 16:19:42.541 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489582535
- DEBUG 16:19:42.770 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489582767
- DEBUG 16:19:43.008 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489582999
- DEBUG 16:19:43.238 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489583231
- DEBUG 16:19:43.470 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489583463
- DEBUG 16:19:43.702 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489583695
- DEBUG 16:19:43.934 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489583927
- DEBUG 16:19:44.167 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489584159
- DEBUG 16:19:44.399 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489584391
- DEBUG 16:19:44.630 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489584623
- DEBUG 16:19:44.862 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489584855
- DEBUG 16:19:45.090 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489585087
- DEBUG 16:19:45.091 22867 aiservice.py 34ed58fcadd2 Batch for camera test collected, spend 5.561596393585205 sec
- INFO 16:19:45.091 22867 aiservice.py 293d931ea738 Start collecting batch for camera test, spend 5.440052270889282 sec
- INFO 16:19:45.152 22842 aiservice.py 34ed58fcadd2 Start processing batch for camera test, spend 5.6228461265563965 sec
- DEBUG 16:19:45.153 22842 foreman.py 34ed58fcadd2 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:45.166 22842 foreman.py 34ed58fcadd2 Running=0 finished=1
- DEBUG 16:19:45.167 22842 foreman.py 34ed58fcadd2 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:45.168 22865 command.py 34ed58fcadd2 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:45.248 22865 command.py 34ed58fcadd2 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:45.251 22842 foreman.py 34ed58fcadd2 Running=0 finished=1
- CRITICAL 16:19:45.251 22842 foreman.py 34ed58fcadd2 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f668> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:45.251 22842 foreman.py 34ed58fcadd2 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:45.252 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:45.252 22842 aiservice.py 34ed58fcadd2 Batch for camera test processed, spend 0.09938812255859375 sec
- DEBUG 16:19:45.252 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:19:45.293 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:19:45.293 22842 aiservice.py f2625d608ff6 Put batch for camera test request to queue, spend 0.00080108642578125 sec
- DEBUG 16:19:45.320 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489585319
- DEBUG 16:19:45.556 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489585551
- DEBUG 16:19:45.786 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489585783
- DEBUG 16:19:46.015 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489586015
- DEBUG 16:19:46.250 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489586248
- DEBUG 16:19:46.482 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489586479
- DEBUG 16:19:46.714 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489586711
- DEBUG 16:19:46.946 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489586943
- DEBUG 16:19:47.178 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489587175
- DEBUG 16:19:47.410 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489587407
- DEBUG 16:19:47.642 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489587639
- DEBUG 16:19:47.874 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489587871
- DEBUG 16:19:48.106 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489588103
- DEBUG 16:19:48.338 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489588335
- DEBUG 16:19:48.570 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489588567
- DEBUG 16:19:48.802 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489588800
- DEBUG 16:19:49.030 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489589031
- DEBUG 16:19:49.262 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489589263
- DEBUG 16:19:49.494 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489589495
- DEBUG 16:19:49.726 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489589728
- DEBUG 16:19:49.962 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489589960
- DEBUG 16:19:50.198 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489590192
- DEBUG 16:19:50.422 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489590423
- DEBUG 16:19:50.654 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489590655
- DEBUG 16:19:50.654 22867 aiservice.py 293d931ea738 Batch for camera test collected, spend 5.562291383743286 sec
- INFO 16:19:50.655 22867 aiservice.py f2625d608ff6 Start collecting batch for camera test, spend 5.362393617630005 sec
- INFO 16:19:50.706 22842 aiservice.py 293d931ea738 Start processing batch for camera test, spend 5.6136314868927 sec
- DEBUG 16:19:50.706 22842 foreman.py 293d931ea738 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:19:50.713 22842 foreman.py 293d931ea738 Running=0 finished=1
- DEBUG 16:19:50.713 22842 foreman.py 293d931ea738 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:50.714 22865 command.py 293d931ea738 Start core.cnn
- 24
- DEBUG 16:19:50.733 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:19:50.733 22842 aiservice.py 586e04f5c415 Put batch for camera test request to queue, spend 0.0011677742004394531 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:50.763 22865 command.py 293d931ea738 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:50.769 22842 foreman.py 293d931ea738 Running=0 finished=1
- CRITICAL 16:19:50.769 22842 foreman.py 293d931ea738 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f6d8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:50.769 22842 foreman.py 293d931ea738 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:50.769 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:50.770 22842 aiservice.py 293d931ea738 Batch for camera test processed, spend 0.06362557411193848 sec
- DEBUG 16:19:50.770 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:19:50.890 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489590888
- DEBUG 16:19:51.121 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489591120
- DEBUG 16:19:51.350 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489591352
- DEBUG 16:19:51.587 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489591584
- DEBUG 16:19:51.814 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489591812
- DEBUG 16:19:52.050 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489592044
- DEBUG 16:19:52.282 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489592276
- DEBUG 16:19:52.515 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489592508
- DEBUG 16:19:52.742 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489592740
- DEBUG 16:19:52.976 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489592972
- DEBUG 16:19:53.206 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489593204
- DEBUG 16:19:53.439 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489593436
- DEBUG 16:19:53.672 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489593668
- DEBUG 16:19:53.906 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489593900
- DEBUG 16:19:54.138 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489594132
- DEBUG 16:19:54.366 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489594364
- DEBUG 16:19:54.602 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489594596
- DEBUG 16:19:54.834 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489594828
- DEBUG 16:19:55.061 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489595060
- DEBUG 16:19:55.295 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489595292
- DEBUG 16:19:55.529 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489595524
- DEBUG 16:19:55.758 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489595756
- DEBUG 16:19:55.991 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489595988
- DEBUG 16:19:56.226 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489596220
- DEBUG 16:19:56.227 22867 aiservice.py f2625d608ff6 Batch for camera test collected, spend 5.57224702835083 sec
- INFO 16:19:56.228 22867 aiservice.py 586e04f5c415 Start collecting batch for camera test, spend 5.496081352233887 sec
- INFO 16:19:56.261 22842 aiservice.py f2625d608ff6 Start processing batch for camera test, spend 5.606155872344971 sec
- DEBUG 16:19:56.262 22842 foreman.py f2625d608ff6 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:19:56.278 22842 foreman.py f2625d608ff6 Running=0 finished=1
- DEBUG 16:19:56.278 22842 foreman.py f2625d608ff6 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:19:56.280 22865 command.py f2625d608ff6 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:19:56.348 22865 command.py f2625d608ff6 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:19:56.351 22842 foreman.py f2625d608ff6 Running=0 finished=1
- CRITICAL 16:19:56.351 22842 foreman.py f2625d608ff6 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f588> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:19:56.351 22842 foreman.py f2625d608ff6 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:19:56.352 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:19:56.352 22842 aiservice.py f2625d608ff6 Batch for camera test processed, spend 0.09092140197753906 sec
- DEBUG 16:19:56.353 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:19:56.376 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:19:56.376 22842 aiservice.py 76f79e2c8ef8 Put batch for camera test request to queue, spend 0.000518798828125 sec
- DEBUG 16:19:56.458 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489596452
- DEBUG 16:19:56.690 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489596684
- DEBUG 16:19:56.921 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489596916
- DEBUG 16:19:57.150 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489597148
- DEBUG 16:19:57.386 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489597380
- DEBUG 16:19:57.618 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489597612
- DEBUG 16:19:57.852 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489597844
- DEBUG 16:19:58.082 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489598076
- DEBUG 16:19:58.311 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489598308
- DEBUG 16:19:58.543 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489598540
- DEBUG 16:19:58.781 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489598772
- DEBUG 16:19:59.006 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489599004
- DEBUG 16:19:59.238 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489599236
- DEBUG 16:19:59.472 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489599468
- DEBUG 16:19:59.702 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489599700
- DEBUG 16:19:59.934 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489599932
- DEBUG 16:20:00.170 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489600164
- DEBUG 16:20:00.399 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489600396
- DEBUG 16:20:00.630 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489600628
- DEBUG 16:20:00.862 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489600860
- DEBUG 16:20:01.099 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489601092
- DEBUG 16:20:01.331 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489601324
- DEBUG 16:20:01.562 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489601556
- DEBUG 16:20:01.795 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489601788
- DEBUG 16:20:01.797 22867 aiservice.py 586e04f5c415 Batch for camera test collected, spend 5.568392992019653 sec
- INFO 16:20:01.798 22867 aiservice.py 76f79e2c8ef8 Start collecting batch for camera test, spend 5.422960519790649 sec
- INFO 16:20:01.802 22842 aiservice.py 586e04f5c415 Start processing batch for camera test, spend 5.572845220565796 sec
- DEBUG 16:20:01.802 22842 foreman.py 586e04f5c415 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:20:01.815 22842 foreman.py 586e04f5c415 Running=0 finished=1
- DEBUG 16:20:01.815 22842 foreman.py 586e04f5c415 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:01.816 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:20:01.817 22842 aiservice.py 1ba10e18774a Put batch for camera test request to queue, spend 0.0012590885162353516 sec
- 24
- DEBUG 16:20:01.818 22865 command.py 586e04f5c415 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:01.873 22865 command.py 586e04f5c415 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:01.877 22842 foreman.py 586e04f5c415 Running=0 finished=1
- CRITICAL 16:20:01.877 22842 foreman.py 586e04f5c415 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f630> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:01.877 22842 foreman.py 586e04f5c415 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:01.878 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:01.878 22842 aiservice.py 586e04f5c415 Batch for camera test processed, spend 0.07609319686889648 sec
- DEBUG 16:20:01.878 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:20:02.026 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489602020
- DEBUG 16:20:02.258 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489602252
- DEBUG 16:20:02.490 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489602484
- DEBUG 16:20:02.722 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489602716
- DEBUG 16:20:02.955 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489602948
- DEBUG 16:20:03.182 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489603180
- DEBUG 16:20:03.417 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489603412
- DEBUG 16:20:03.650 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489603644
- DEBUG 16:20:03.882 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489603876
- DEBUG 16:20:04.115 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489604108
- DEBUG 16:20:04.344 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489604340
- DEBUG 16:20:04.574 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489604572
- DEBUG 16:20:04.807 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489604804
- DEBUG 16:20:05.038 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489605036
- DEBUG 16:20:05.270 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489605268
- DEBUG 16:20:05.502 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489605500
- DEBUG 16:20:05.734 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489605732
- DEBUG 16:20:05.966 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489605964
- DEBUG 16:20:06.198 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489606196
- DEBUG 16:20:06.430 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489606428
- DEBUG 16:20:06.662 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489606660
- DEBUG 16:20:06.894 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489606892
- DEBUG 16:20:07.126 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489607124
- DEBUG 16:20:07.358 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489607356
- DEBUG 16:20:07.359 22867 aiservice.py 76f79e2c8ef8 Batch for camera test collected, spend 5.560208559036255 sec
- INFO 16:20:07.359 22867 aiservice.py 1ba10e18774a Start collecting batch for camera test, spend 5.543436765670776 sec
- INFO 16:20:07.388 22842 aiservice.py 76f79e2c8ef8 Start processing batch for camera test, spend 5.589170932769775 sec
- DEBUG 16:20:07.388 22842 foreman.py 76f79e2c8ef8 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:20:07.392 22842 foreman.py 76f79e2c8ef8 Running=0 finished=1
- DEBUG 16:20:07.392 22842 foreman.py 76f79e2c8ef8 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:07.393 22865 command.py 76f79e2c8ef8 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- DEBUG 16:20:07.452 22842 shared_array.py ------------ Shared memory free 152, used 48
- ERROR 16:20:07.453 22865 command.py 76f79e2c8ef8 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- INFO 16:20:07.453 22842 aiservice.py a9774a550311 Put batch for camera test request to queue, spend 0.000843048095703125 sec
- DEBUG 16:20:07.456 22842 foreman.py 76f79e2c8ef8 Running=0 finished=1
- CRITICAL 16:20:07.456 22842 foreman.py 76f79e2c8ef8 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f748> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:07.456 22842 foreman.py 76f79e2c8ef8 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:07.456 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:07.457 22842 aiservice.py 76f79e2c8ef8 Batch for camera test processed, spend 0.06865334510803223 sec
- DEBUG 16:20:07.457 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:20:07.591 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489607588
- DEBUG 16:20:07.823 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489607820
- DEBUG 16:20:08.054 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489608052
- DEBUG 16:20:08.292 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489608284
- DEBUG 16:20:08.518 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489608516
- DEBUG 16:20:08.751 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489608748
- DEBUG 16:20:08.982 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489608980
- DEBUG 16:20:09.214 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489609212
- DEBUG 16:20:09.450 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489609444
- DEBUG 16:20:09.679 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489609676
- DEBUG 16:20:09.913 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489609908
- DEBUG 16:20:10.145 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489610140
- DEBUG 16:20:10.378 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489610372
- DEBUG 16:20:10.610 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489610604
- DEBUG 16:20:10.840 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489610836
- DEBUG 16:20:11.074 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489611068
- DEBUG 16:20:11.302 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489611300
- DEBUG 16:20:11.536 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489611532
- DEBUG 16:20:11.772 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489611764
- DEBUG 16:20:12.005 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489611996
- DEBUG 16:20:12.234 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489612228
- DEBUG 16:20:12.466 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489612460
- DEBUG 16:20:12.700 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489612692
- DEBUG 16:20:12.930 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489612924
- DEBUG 16:20:12.932 22867 aiservice.py 1ba10e18774a Batch for camera test collected, spend 5.572662830352783 sec
- INFO 16:20:12.933 22867 aiservice.py a9774a550311 Start collecting batch for camera test, spend 5.480820655822754 sec
- INFO 16:20:12.975 22842 aiservice.py 1ba10e18774a Start processing batch for camera test, spend 5.615530967712402 sec
- DEBUG 16:20:12.976 22842 foreman.py 1ba10e18774a Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:20:12.990 22842 foreman.py 1ba10e18774a Running=0 finished=1
- DEBUG 16:20:12.990 22842 foreman.py 1ba10e18774a Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:12.992 22865 command.py 1ba10e18774a Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:13.059 22865 command.py 1ba10e18774a Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:13.063 22842 foreman.py 1ba10e18774a Running=0 finished=1
- CRITICAL 16:20:13.064 22842 foreman.py 1ba10e18774a Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f438> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:13.064 22842 foreman.py 1ba10e18774a Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:13.064 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:13.064 22842 aiservice.py 1ba10e18774a Batch for camera test processed, spend 0.08914780616760254 sec
- DEBUG 16:20:13.065 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:20:13.102 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:20:13.102 22842 aiservice.py 733d5d959c13 Put batch for camera test request to queue, spend 0.0004458427429199219 sec
- DEBUG 16:20:13.162 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489613156
- DEBUG 16:20:13.394 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489613388
- DEBUG 16:20:13.626 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489613620
- DEBUG 16:20:13.858 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489613852
- DEBUG 16:20:14.091 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489614084
- DEBUG 16:20:14.322 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489614316
- DEBUG 16:20:14.550 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489614548
- DEBUG 16:20:14.782 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489614780
- DEBUG 16:20:15.015 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489615012
- DEBUG 16:20:15.246 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489615244
- DEBUG 16:20:15.478 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489615476
- DEBUG 16:20:15.710 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489615708
- DEBUG 16:20:15.938 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489615940
- DEBUG 16:20:16.174 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489616172
- DEBUG 16:20:16.406 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489616404
- DEBUG 16:20:16.639 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489616636
- DEBUG 16:20:16.866 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489616868
- DEBUG 16:20:17.103 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489617100
- DEBUG 16:20:17.331 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489617332
- DEBUG 16:20:17.562 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489617564
- DEBUG 16:20:17.798 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489617796
- DEBUG 16:20:18.030 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489618028
- DEBUG 16:20:18.262 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489618260
- DEBUG 16:20:18.494 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489618492
- DEBUG 16:20:18.495 22867 aiservice.py a9774a550311 Batch for camera test collected, spend 5.561984539031982 sec
- INFO 16:20:18.496 22867 aiservice.py 733d5d959c13 Start collecting batch for camera test, spend 5.394415855407715 sec
- INFO 16:20:18.518 22842 aiservice.py a9774a550311 Start processing batch for camera test, spend 5.5850160121917725 sec
- DEBUG 16:20:18.519 22842 foreman.py a9774a550311 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:20:18.532 22842 foreman.py a9774a550311 Running=0 finished=1
- DEBUG 16:20:18.533 22842 foreman.py a9774a550311 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:18.534 22865 command.py a9774a550311 Start core.cnn
- DEBUG 16:20:18.552 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:20:18.553 22842 aiservice.py bdf88a3ab7fa Put batch for camera test request to queue, spend 0.00386810302734375 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:18.610 22865 command.py a9774a550311 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:18.618 22842 foreman.py a9774a550311 Running=0 finished=1
- CRITICAL 16:20:18.618 22842 foreman.py a9774a550311 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5f8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:18.618 22842 foreman.py a9774a550311 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:18.619 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:18.619 22842 aiservice.py a9774a550311 Batch for camera test processed, spend 0.10026192665100098 sec
- DEBUG 16:20:18.619 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:20:18.722 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489618724
- DEBUG 16:20:18.954 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489618956
- DEBUG 16:20:19.186 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489619188
- DEBUG 16:20:19.418 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489619420
- DEBUG 16:20:19.651 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489619652
- DEBUG 16:20:19.882 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489619884
- DEBUG 16:20:20.118 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489620116
- DEBUG 16:20:20.351 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489620348
- DEBUG 16:20:20.578 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489620580
- DEBUG 16:20:20.816 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489620808
- DEBUG 16:20:21.048 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489621040
- DEBUG 16:20:21.278 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489621272
- DEBUG 16:20:21.511 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489621504
- DEBUG 16:20:21.742 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489621736
- DEBUG 16:20:21.974 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489621968
- DEBUG 16:20:22.206 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489622200
- DEBUG 16:20:22.439 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489622432
- DEBUG 16:20:22.670 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489622664
- DEBUG 16:20:22.903 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489622896
- DEBUG 16:20:23.130 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489623128
- DEBUG 16:20:23.363 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489623360
- DEBUG 16:20:23.598 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489623592
- DEBUG 16:20:23.830 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489623824
- DEBUG 16:20:24.058 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489624056
- DEBUG 16:20:24.058 22867 aiservice.py 733d5d959c13 Batch for camera test collected, spend 5.562495231628418 sec
- INFO 16:20:24.059 22867 aiservice.py bdf88a3ab7fa Start collecting batch for camera test, spend 5.509286165237427 sec
- INFO 16:20:24.079 22842 aiservice.py 733d5d959c13 Start processing batch for camera test, spend 5.583444595336914 sec
- DEBUG 16:20:24.080 22842 foreman.py 733d5d959c13 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:20:24.083 22842 foreman.py 733d5d959c13 Running=0 finished=1
- DEBUG 16:20:24.083 22842 foreman.py 733d5d959c13 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:24.084 22865 command.py 733d5d959c13 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:24.138 22865 command.py 733d5d959c13 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:24.141 22842 foreman.py 733d5d959c13 Running=0 finished=1
- CRITICAL 16:20:24.141 22842 foreman.py 733d5d959c13 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f710> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:24.141 22842 foreman.py 733d5d959c13 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:24.142 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:24.142 22842 aiservice.py 733d5d959c13 Batch for camera test processed, spend 0.062163591384887695 sec
- DEBUG 16:20:24.142 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:20:24.190 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:20:24.190 22842 aiservice.py f222ddf34a4c Put batch for camera test request to queue, spend 0.0005888938903808594 sec
- DEBUG 16:20:24.294 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489624288
- DEBUG 16:20:24.526 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489624520
- DEBUG 16:20:24.758 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489624752
- DEBUG 16:20:24.990 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489624984
- DEBUG 16:20:25.218 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489625216
- DEBUG 16:20:25.450 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489625448
- DEBUG 16:20:25.682 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489625680
- DEBUG 16:20:25.918 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489625912
- DEBUG 16:20:26.146 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489626144
- DEBUG 16:20:26.583 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489626576
- DEBUG 16:20:27.046 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489627040
- DEBUG 16:20:27.506 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489627504
- DEBUG 16:20:27.970 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489627968
- DEBUG 16:20:28.434 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489628432
- DEBUG 16:20:28.898 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489628896
- DEBUG 16:20:29.362 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489629360
- DEBUG 16:20:29.827 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489629824
- DEBUG 16:20:30.294 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489630288
- DEBUG 16:20:30.758 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489630752
- DEBUG 16:20:31.222 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489631216
- DEBUG 16:20:31.686 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489631680
- DEBUG 16:20:32.150 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489632144
- DEBUG 16:20:32.614 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489632608
- DEBUG 16:20:33.079 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489633072
- DEBUG 16:20:33.081 22867 aiservice.py bdf88a3ab7fa Batch for camera test collected, spend 9.02200722694397 sec
- INFO 16:20:33.081 22867 aiservice.py f222ddf34a4c Start collecting batch for camera test, spend 8.891964435577393 sec
- INFO 16:20:33.112 22842 aiservice.py bdf88a3ab7fa Start processing batch for camera test, spend 9.052941083908081 sec
- DEBUG 16:20:33.112 22842 foreman.py bdf88a3ab7fa Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:20:33.125 22842 foreman.py bdf88a3ab7fa Running=0 finished=1
- DEBUG 16:20:33.125 22842 foreman.py bdf88a3ab7fa Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:33.127 22865 command.py bdf88a3ab7fa Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:33.204 22865 command.py bdf88a3ab7fa Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:33.209 22842 foreman.py bdf88a3ab7fa Running=0 finished=1
- CRITICAL 16:20:33.209 22842 foreman.py bdf88a3ab7fa Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5c0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:33.209 22842 foreman.py bdf88a3ab7fa Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:33.210 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:33.210 22842 aiservice.py bdf88a3ab7fa Batch for camera test processed, spend 0.09783577919006348 sec
- DEBUG 16:20:33.210 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:20:33.252 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:20:33.252 22842 aiservice.py 06085efc57dc Put batch for camera test request to queue, spend 0.0005548000335693359 sec
- DEBUG 16:20:33.541 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489633536
- DEBUG 16:20:34.002 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489634000
- DEBUG 16:20:34.466 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489634464
- DEBUG 16:20:34.930 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489634928
- DEBUG 16:20:35.394 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489635392
- DEBUG 16:20:35.858 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489635856
- DEBUG 16:20:36.322 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489636320
- DEBUG 16:20:36.788 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489636784
- DEBUG 16:20:37.251 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489637248
- DEBUG 16:20:37.714 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489637712
- DEBUG 16:20:38.178 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489638176
- DEBUG 16:20:38.642 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489638640
- DEBUG 16:20:39.106 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489639104
- DEBUG 16:20:39.571 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489639568
- DEBUG 16:20:40.034 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489640028
- DEBUG 16:20:40.499 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489640492
- DEBUG 16:20:40.962 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489640956
- DEBUG 16:20:41.423 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489641420
- DEBUG 16:20:41.886 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489641884
- DEBUG 16:20:42.351 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489642348
- DEBUG 16:20:42.819 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489642812
- DEBUG 16:20:43.284 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489643276
- DEBUG 16:20:43.746 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489643740
- DEBUG 16:20:44.210 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489644204
- DEBUG 16:20:44.211 22867 aiservice.py f222ddf34a4c Batch for camera test collected, spend 11.129513263702393 sec
- INFO 16:20:44.211 22867 aiservice.py 06085efc57dc Start collecting batch for camera test, spend 10.959887027740479 sec
- INFO 16:20:44.229 22842 aiservice.py f222ddf34a4c Start processing batch for camera test, spend 11.147498369216919 sec
- DEBUG 16:20:44.230 22842 foreman.py f222ddf34a4c Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:20:44.242 22842 foreman.py f222ddf34a4c Running=0 finished=1
- DEBUG 16:20:44.243 22842 foreman.py f222ddf34a4c Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:44.245 22865 command.py f222ddf34a4c Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:44.324 22865 command.py f222ddf34a4c Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:44.327 22842 foreman.py f222ddf34a4c Running=0 finished=1
- CRITICAL 16:20:44.327 22842 foreman.py f222ddf34a4c Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4e0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:44.327 22842 foreman.py f222ddf34a4c Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:44.328 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:44.328 22842 aiservice.py f222ddf34a4c Batch for camera test processed, spend 0.09878873825073242 sec
- DEBUG 16:20:44.328 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:20:44.335 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:20:44.335 22842 aiservice.py f374c07dd86e Put batch for camera test request to queue, spend 0.00037217140197753906 sec
- DEBUG 16:20:44.674 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489644668
- DEBUG 16:20:45.134 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489645132
- DEBUG 16:20:45.598 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489645596
- DEBUG 16:20:46.062 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489646060
- DEBUG 16:20:46.527 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489646524
- DEBUG 16:20:46.996 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489646988
- DEBUG 16:20:47.460 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489647452
- DEBUG 16:20:47.922 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489647916
- DEBUG 16:20:48.386 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489648380
- DEBUG 16:20:48.850 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489648844
- DEBUG 16:20:49.314 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489649308
- DEBUG 16:20:49.774 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489649772
- DEBUG 16:20:50.238 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489650236
- DEBUG 16:20:50.702 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489650700
- DEBUG 16:20:51.166 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489651164
- DEBUG 16:20:51.630 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489651628
- DEBUG 16:20:52.098 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489652092
- DEBUG 16:20:52.562 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489652556
- DEBUG 16:20:53.026 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489653020
- DEBUG 16:20:53.490 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489653484
- DEBUG 16:20:53.954 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489653948
- DEBUG 16:20:54.420 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489654412
- DEBUG 16:20:54.883 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489654876
- DEBUG 16:20:55.348 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489655340
- DEBUG 16:20:55.349 22867 aiservice.py 06085efc57dc Batch for camera test collected, spend 11.13683557510376 sec
- INFO 16:20:55.350 22867 aiservice.py f374c07dd86e Start collecting batch for camera test, spend 11.014968156814575 sec
- INFO 16:20:55.371 22842 aiservice.py 06085efc57dc Start processing batch for camera test, spend 11.159249067306519 sec
- DEBUG 16:20:55.372 22842 foreman.py 06085efc57dc Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- 24
- DEBUG 16:20:55.385 22842 foreman.py 06085efc57dc Running=0 finished=1
- DEBUG 16:20:55.385 22842 foreman.py 06085efc57dc Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:20:55.387 22865 command.py 06085efc57dc Start core.cnn
- DEBUG 16:20:55.401 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:20:55.402 22842 aiservice.py 8833c22f48f3 Put batch for camera test request to queue, spend 0.0007660388946533203 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:20:55.438 22865 command.py 06085efc57dc Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:20:55.448 22842 foreman.py 06085efc57dc Running=0 finished=1
- CRITICAL 16:20:55.448 22842 foreman.py 06085efc57dc Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f668> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:20:55.448 22842 foreman.py 06085efc57dc Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:20:55.448 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:20:55.449 22842 aiservice.py 06085efc57dc Batch for camera test processed, spend 0.07730674743652344 sec
- DEBUG 16:20:55.449 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:20:55.811 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489655804
- DEBUG 16:20:56.276 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489656268
- DEBUG 16:20:56.738 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489656732
- DEBUG 16:20:57.203 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489657196
- DEBUG 16:20:57.666 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489657660
- DEBUG 16:20:58.130 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489658124
- DEBUG 16:20:58.594 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489658588
- DEBUG 16:20:59.058 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489659052
- DEBUG 16:20:59.522 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489659516
- DEBUG 16:20:59.982 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489659980
- DEBUG 16:21:00.447 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489660444
- DEBUG 16:21:00.911 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489660908
- DEBUG 16:21:01.374 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489661372
- DEBUG 16:21:01.839 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489661836
- DEBUG 16:21:02.303 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489662300
- DEBUG 16:21:02.766 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489662764
- DEBUG 16:21:03.231 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489663228
- DEBUG 16:21:03.691 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489663692
- DEBUG 16:21:04.161 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489664156
- DEBUG 16:21:04.623 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489664620
- DEBUG 16:21:05.086 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489665084
- DEBUG 16:21:05.550 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489665548
- DEBUG 16:21:06.014 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489666008
- DEBUG 16:21:06.478 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489666472
- DEBUG 16:21:06.480 22867 aiservice.py f374c07dd86e Batch for camera test collected, spend 11.129939317703247 sec
- INFO 16:21:06.481 22867 aiservice.py 8833c22f48f3 Start collecting batch for camera test, spend 11.079819440841675 sec
- DEBUG 16:21:06.497 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:21:06.498 22842 aiservice.py d6858e83b6db Put batch for camera test request to queue, spend 0.0024137496948242188 sec
- INFO 16:21:06.546 22842 aiservice.py f374c07dd86e Start processing batch for camera test, spend 11.196073293685913 sec
- DEBUG 16:21:06.547 22842 foreman.py f374c07dd86e Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:21:06.559 22842 foreman.py f374c07dd86e Running=0 finished=1
- DEBUG 16:21:06.560 22842 foreman.py f374c07dd86e Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- 24
- DEBUG 16:21:06.561 22865 command.py f374c07dd86e Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:21:06.640 22865 command.py f374c07dd86e Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:21:06.642 22842 foreman.py f374c07dd86e Running=0 finished=1
- CRITICAL 16:21:06.643 22842 foreman.py f374c07dd86e Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4a8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:21:06.643 22842 foreman.py f374c07dd86e Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:21:06.643 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:21:06.643 22842 aiservice.py f374c07dd86e Batch for camera test processed, spend 0.0969233512878418 sec
- DEBUG 16:21:06.644 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:21:06.942 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489666936
- DEBUG 16:21:07.406 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489667400
- DEBUG 16:21:07.871 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489667864
- DEBUG 16:21:08.334 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489668328
- DEBUG 16:21:08.799 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489668792
- DEBUG 16:21:09.262 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489669256
- DEBUG 16:21:09.726 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489669720
- DEBUG 16:21:10.191 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489670184
- DEBUG 16:21:10.657 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489670648
- DEBUG 16:21:11.119 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489671112
- DEBUG 16:21:11.583 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489671576
- DEBUG 16:21:12.046 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489672040
- DEBUG 16:21:12.510 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489672504
- DEBUG 16:21:12.974 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489672968
- DEBUG 16:21:13.439 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489673432
- DEBUG 16:21:13.902 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489673896
- DEBUG 16:21:14.366 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489674360
- DEBUG 16:21:14.831 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489674824
- DEBUG 16:21:15.290 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489675288
- DEBUG 16:21:15.755 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489675752
- DEBUG 16:21:16.219 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489676216
- DEBUG 16:21:16.684 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489676680
- DEBUG 16:21:17.151 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489677144
- DEBUG 16:21:17.615 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489677608
- DEBUG 16:21:17.617 22867 aiservice.py 8833c22f48f3 Batch for camera test collected, spend 11.135419368743896 sec
- INFO 16:21:17.618 22867 aiservice.py d6858e83b6db Start collecting batch for camera test, spend 11.121983528137207 sec
- INFO 16:21:17.651 22842 aiservice.py 8833c22f48f3 Start processing batch for camera test, spend 11.169381856918335 sec
- DEBUG 16:21:17.651 22842 foreman.py 8833c22f48f3 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:21:17.664 22842 foreman.py 8833c22f48f3 Running=0 finished=1
- DEBUG 16:21:17.664 22842 foreman.py 8833c22f48f3 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- 24
- DEBUG 16:21:17.666 22865 command.py 8833c22f48f3 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:21:17.715 22865 command.py 8833c22f48f3 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:21:17.716 22842 foreman.py 8833c22f48f3 Running=0 finished=1
- CRITICAL 16:21:17.716 22842 foreman.py 8833c22f48f3 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f588> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:21:17.716 22842 foreman.py 8833c22f48f3 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:21:17.717 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:21:17.717 22842 aiservice.py 8833c22f48f3 Batch for camera test processed, spend 0.06614375114440918 sec
- DEBUG 16:21:17.717 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:21:17.790 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:21:17.791 22842 aiservice.py 9c79949dfb35 Put batch for camera test request to queue, spend 0.0013041496276855469 sec
- DEBUG 16:21:18.079 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489678072
- DEBUG 16:21:18.543 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489678536
- DEBUG 16:21:19.006 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489679000
- DEBUG 16:21:19.470 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489679464
- DEBUG 16:21:19.934 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489679928
- DEBUG 16:21:20.399 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489680392
- DEBUG 16:21:20.862 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489680856
- DEBUG 16:21:21.327 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489681320
- DEBUG 16:21:21.790 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489681784
- DEBUG 16:21:22.254 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489682248
- DEBUG 16:21:22.718 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489682712
- DEBUG 16:21:23.183 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489683176
- DEBUG 16:21:23.646 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489683640
- DEBUG 16:21:24.110 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489684104
- DEBUG 16:21:24.575 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489684568
- DEBUG 16:21:25.039 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489685032
- DEBUG 16:21:25.504 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489685496
- DEBUG 16:21:25.962 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489685960
- DEBUG 16:21:26.427 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489686424
- DEBUG 16:21:26.890 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489686888
- DEBUG 16:21:27.355 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489687352
- DEBUG 16:21:27.818 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489687816
- DEBUG 16:21:28.282 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489688280
- DEBUG 16:21:28.746 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489688744
- DEBUG 16:21:28.748 22867 aiservice.py d6858e83b6db Batch for camera test collected, spend 11.130508661270142 sec
- INFO 16:21:28.749 22867 aiservice.py 9c79949dfb35 Start collecting batch for camera test, spend 10.958952903747559 sec
- INFO 16:21:28.786 22842 aiservice.py d6858e83b6db Start processing batch for camera test, spend 11.168225049972534 sec
- DEBUG 16:21:28.787 22842 foreman.py d6858e83b6db Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:21:28.799 22842 foreman.py d6858e83b6db Running=0 finished=1
- DEBUG 16:21:28.799 22842 foreman.py d6858e83b6db Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:21:28.801 22865 command.py d6858e83b6db Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:21:28.880 22865 command.py d6858e83b6db Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:21:28.883 22842 foreman.py d6858e83b6db Running=0 finished=1
- CRITICAL 16:21:28.884 22842 foreman.py d6858e83b6db Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f630> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:21:28.884 22842 foreman.py d6858e83b6db Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:21:28.884 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:21:28.884 22842 aiservice.py d6858e83b6db Batch for camera test processed, spend 0.09810233116149902 sec
- DEBUG 16:21:28.885 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:21:28.888 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:21:28.889 22842 aiservice.py 4961a511dfdc Put batch for camera test request to queue, spend 0.00046944618225097656 sec
- DEBUG 16:21:29.210 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489689208
- DEBUG 16:21:29.674 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489689672
- DEBUG 16:21:30.138 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489690136
- DEBUG 16:21:30.598 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489690600
- DEBUG 16:21:31.068 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489691064
- DEBUG 16:21:31.530 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489691524
- DEBUG 16:21:31.994 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489691988
- DEBUG 16:21:32.458 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489692452
- DEBUG 16:21:32.923 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489692916
- DEBUG 16:21:33.386 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489693380
- DEBUG 16:21:33.851 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489693844
- DEBUG 16:21:34.315 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489694308
- DEBUG 16:21:34.779 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489694772
- DEBUG 16:21:35.244 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489695236
- DEBUG 16:21:35.707 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489695700
- DEBUG 16:21:36.170 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489696164
- DEBUG 16:21:36.634 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489696628
- DEBUG 16:21:37.100 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489697092
- DEBUG 16:21:37.565 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489697556
- DEBUG 16:21:38.027 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489698020
- DEBUG 16:21:38.490 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489698484
- DEBUG 16:21:38.955 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489698948
- DEBUG 16:21:39.420 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489699412
- DEBUG 16:21:39.882 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489699876
- DEBUG 16:21:39.884 22867 aiservice.py 9c79949dfb35 Batch for camera test collected, spend 11.135164260864258 sec
- INFO 16:21:39.885 22867 aiservice.py 4961a511dfdc Start collecting batch for camera test, spend 10.997235536575317 sec
- INFO 16:21:39.892 22842 aiservice.py 9c79949dfb35 Start processing batch for camera test, spend 11.143388748168945 sec
- DEBUG 16:21:39.893 22842 foreman.py 9c79949dfb35 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:21:39.905 22842 foreman.py 9c79949dfb35 Running=0 finished=1
- DEBUG 16:21:39.906 22842 foreman.py 9c79949dfb35 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:21:39.907 22865 command.py 9c79949dfb35 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:21:39.958 22865 command.py 9c79949dfb35 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:21:39.968 22842 foreman.py 9c79949dfb35 Running=0 finished=1
- CRITICAL 16:21:39.968 22842 foreman.py 9c79949dfb35 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f748> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:21:39.969 22842 foreman.py 9c79949dfb35 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:21:39.969 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:21:39.969 22842 aiservice.py 9c79949dfb35 Batch for camera test processed, spend 0.07663345336914062 sec
- DEBUG 16:21:39.970 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:21:39.981 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:21:39.982 22842 aiservice.py ffe926e97335 Put batch for camera test request to queue, spend 0.00037598609924316406 sec
- DEBUG 16:21:40.346 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489700340
- DEBUG 16:21:40.811 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489700804
- DEBUG 16:21:41.275 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489701268
- DEBUG 16:21:41.738 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489701732
- DEBUG 16:21:42.202 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489702196
- DEBUG 16:21:42.667 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489702660
- DEBUG 16:21:43.130 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489703125
- DEBUG 16:21:43.595 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489703588
- DEBUG 16:21:44.059 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489704052
- DEBUG 16:21:44.523 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489704516
- DEBUG 16:21:44.987 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489704981
- DEBUG 16:21:45.451 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489705444
- DEBUG 16:21:45.914 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489705909
- DEBUG 16:21:46.379 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489706373
- DEBUG 16:21:46.843 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489706837
- DEBUG 16:21:47.303 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489707301
- DEBUG 16:21:47.772 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489707765
- DEBUG 16:21:48.235 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489708229
- DEBUG 16:21:48.699 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489708693
- DEBUG 16:21:49.160 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489709157
- DEBUG 16:21:49.623 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489709621
- DEBUG 16:21:50.087 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489710085
- DEBUG 16:21:50.555 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489710549
- DEBUG 16:21:51.019 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489711013
- DEBUG 16:21:51.021 22867 aiservice.py 4961a511dfdc Batch for camera test collected, spend 11.135332345962524 sec
- INFO 16:21:51.022 22867 aiservice.py ffe926e97335 Start collecting batch for camera test, spend 11.040886640548706 sec
- INFO 16:21:51.036 22842 aiservice.py 4961a511dfdc Start processing batch for camera test, spend 11.150727987289429 sec
- DEBUG 16:21:51.037 22842 foreman.py 4961a511dfdc Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:21:51.049 22842 foreman.py 4961a511dfdc Running=0 finished=1
- DEBUG 16:21:51.050 22842 foreman.py 4961a511dfdc Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- 24
- DEBUG 16:21:51.051 22865 command.py 4961a511dfdc Start core.cnn
- DEBUG 16:21:51.070 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:21:51.071 22842 aiservice.py 52a102120d5b Put batch for camera test request to queue, spend 0.0019698143005371094 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:21:51.124 22865 command.py 4961a511dfdc Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:21:51.125 22842 foreman.py 4961a511dfdc Running=0 finished=1
- CRITICAL 16:21:51.125 22842 foreman.py 4961a511dfdc Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f438> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:21:51.126 22842 foreman.py 4961a511dfdc Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:21:51.126 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:21:51.126 22842 aiservice.py 4961a511dfdc Batch for camera test processed, spend 0.08957862854003906 sec
- DEBUG 16:21:51.127 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:21:51.479 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489711477
- DEBUG 16:21:51.943 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489711941
- DEBUG 16:21:52.407 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489712405
- DEBUG 16:21:52.872 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489712869
- DEBUG 16:21:53.331 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489713333
- DEBUG 16:21:53.798 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489713797
- DEBUG 16:21:54.263 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489714261
- DEBUG 16:21:54.727 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489714725
- DEBUG 16:21:55.191 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489715189
- DEBUG 16:21:55.655 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489715653
- DEBUG 16:21:56.119 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489716117
- DEBUG 16:21:56.583 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489716581
- DEBUG 16:21:57.047 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489717045
- DEBUG 16:21:57.511 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489717505
- DEBUG 16:21:57.975 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489717969
- DEBUG 16:21:58.439 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489718433
- DEBUG 16:21:58.903 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489718897
- DEBUG 16:21:59.367 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489719361
- DEBUG 16:21:59.831 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489719825
- DEBUG 16:22:00.295 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489720289
- DEBUG 16:22:00.759 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489720753
- DEBUG 16:22:01.223 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489721217
- DEBUG 16:22:01.687 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489721681
- DEBUG 16:22:02.151 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489722145
- DEBUG 16:22:02.151 22867 aiservice.py ffe926e97335 Batch for camera test collected, spend 11.129013299942017 sec
- INFO 16:22:02.153 22867 aiservice.py 52a102120d5b Start collecting batch for camera test, spend 11.083084106445312 sec
- DEBUG 16:22:02.164 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:22:02.165 22842 aiservice.py 820f51d36fd9 Put batch for camera test request to queue, spend 0.0022878646850585938 sec
- INFO 16:22:02.204 22842 aiservice.py ffe926e97335 Start processing batch for camera test, spend 11.181411504745483 sec
- DEBUG 16:22:02.205 22842 foreman.py ffe926e97335 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:22:02.217 22842 foreman.py ffe926e97335 Running=0 finished=1
- DEBUG 16:22:02.217 22842 foreman.py ffe926e97335 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- 24
- DEBUG 16:22:02.219 22865 command.py ffe926e97335 Start core.cnn
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:22:02.285 22865 command.py ffe926e97335 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:22:02.290 22842 foreman.py ffe926e97335 Running=0 finished=1
- CRITICAL 16:22:02.290 22842 foreman.py ffe926e97335 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f6d8> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:22:02.290 22842 foreman.py ffe926e97335 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:22:02.291 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:22:02.291 22842 aiservice.py ffe926e97335 Batch for camera test processed, spend 0.08663058280944824 sec
- DEBUG 16:22:02.291 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:22:02.615 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489722609
- DEBUG 16:22:03.079 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489723073
- DEBUG 16:22:03.543 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489723537
- DEBUG 16:22:04.008 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489724001
- DEBUG 16:22:04.472 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489724465
- DEBUG 16:22:04.935 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489724929
- DEBUG 16:22:05.399 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489725393
- DEBUG 16:22:05.863 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489725857
- DEBUG 16:22:06.327 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489726321
- DEBUG 16:22:06.787 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489726785
- DEBUG 16:22:07.251 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489727249
- DEBUG 16:22:07.715 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489727713
- DEBUG 16:22:08.179 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489728177
- DEBUG 16:22:08.647 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489728641
- DEBUG 16:22:09.111 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489729105
- DEBUG 16:22:09.571 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489729569
- DEBUG 16:22:10.035 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489730033
- DEBUG 16:22:10.503 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489730497
- DEBUG 16:22:10.969 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489730961
- DEBUG 16:22:11.431 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489731425
- DEBUG 16:22:11.896 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489731889
- DEBUG 16:22:12.360 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489732353
- DEBUG 16:22:12.824 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489732817
- DEBUG 16:22:13.287 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489733281
- DEBUG 16:22:13.289 22867 aiservice.py 52a102120d5b Batch for camera test collected, spend 11.136087894439697 sec
- INFO 16:22:13.290 22867 aiservice.py 820f51d36fd9 Start collecting batch for camera test, spend 11.127214431762695 sec
- INFO 16:22:13.302 22842 aiservice.py 52a102120d5b Start processing batch for camera test, spend 11.149511575698853 sec
- DEBUG 16:22:13.303 22842 foreman.py 52a102120d5b Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:22:13.315 22842 foreman.py 52a102120d5b Running=0 finished=1
- DEBUG 16:22:13.315 22842 foreman.py 52a102120d5b Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:22:13.317 22865 command.py 52a102120d5b Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:22:13.367 22865 command.py 52a102120d5b Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:22:13.378 22842 foreman.py 52a102120d5b Running=0 finished=1
- CRITICAL 16:22:13.378 22842 foreman.py 52a102120d5b Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f710> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:22:13.378 22842 foreman.py 52a102120d5b Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f400> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:22:13.378 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:22:13.378 22842 aiservice.py 52a102120d5b Batch for camera test processed, spend 0.07578659057617188 sec
- DEBUG 16:22:13.379 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:22:13.451 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:22:13.451 22842 aiservice.py 79a64d81b6fb Put batch for camera test request to queue, spend 0.0015377998352050781 sec
- DEBUG 16:22:13.751 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489733745
- DEBUG 16:22:14.215 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489734209
- DEBUG 16:22:14.643 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489734641
- DEBUG 16:22:14.871 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489734873
- DEBUG 16:22:15.107 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489735105
- DEBUG 16:22:15.339 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489735337
- DEBUG 16:22:15.571 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489735569
- DEBUG 16:22:15.804 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489735797
- DEBUG 16:22:16.035 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489736029
- DEBUG 16:22:16.267 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489736261
- DEBUG 16:22:16.499 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489736493
- DEBUG 16:22:16.732 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489736725
- DEBUG 16:22:16.959 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489736957
- DEBUG 16:22:17.195 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489737189
- DEBUG 16:22:17.428 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489737421
- DEBUG 16:22:17.660 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489737653
- DEBUG 16:22:17.887 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489737885
- DEBUG 16:22:18.119 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489738117
- DEBUG 16:22:18.351 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489738349
- DEBUG 16:22:18.583 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489738581
- DEBUG 16:22:18.815 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489738813
- DEBUG 16:22:19.047 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489739045
- DEBUG 16:22:19.283 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489739277
- DEBUG 16:22:19.511 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489739509
- DEBUG 16:22:19.512 22867 aiservice.py 820f51d36fd9 Batch for camera test collected, spend 6.221423387527466 sec
- INFO 16:22:19.512 22867 aiservice.py 79a64d81b6fb Start collecting batch for camera test, spend 6.062250375747681 sec
- INFO 16:22:19.515 22842 aiservice.py 820f51d36fd9 Start processing batch for camera test, spend 6.225287675857544 sec
- DEBUG 16:22:19.516 22842 foreman.py 820f51d36fd9 Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:22:19.522 22842 foreman.py 820f51d36fd9 Running=0 finished=1
- DEBUG 16:22:19.522 22842 foreman.py 820f51d36fd9 Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:22:19.523 22865 command.py 820f51d36fd9 Start core.cnn
- 24
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:22:19.591 22865 command.py 820f51d36fd9 Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:22:19.595 22842 foreman.py 820f51d36fd9 Running=0 finished=1
- CRITICAL 16:22:19.595 22842 foreman.py 820f51d36fd9 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f5c0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:22:19.595 22842 foreman.py 820f51d36fd9 Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f470> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:22:19.595 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:22:19.595 22842 aiservice.py 820f51d36fd9 Batch for camera test processed, spend 0.07982707023620605 sec
- DEBUG 16:22:19.596 22842 shared_array.py ------------ Shared memory free 176, used 24
- DEBUG 16:22:19.692 22842 shared_array.py ------------ Shared memory free 176, used 24
- INFO 16:22:19.692 22842 aiservice.py e9a726fb7925 Put batch for camera test request to queue, spend 0.00048279762268066406 sec
- DEBUG 16:22:19.743 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489739741
- DEBUG 16:22:19.975 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489739973
- DEBUG 16:22:20.207 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489740205
- DEBUG 16:22:20.439 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489740437
- DEBUG 16:22:20.672 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489740669
- DEBUG 16:22:20.908 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489740901
- DEBUG 16:22:21.136 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489741133
- DEBUG 16:22:21.371 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489741365
- DEBUG 16:22:21.603 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489741597
- DEBUG 16:22:21.835 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489741829
- DEBUG 16:22:22.063 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489742061
- DEBUG 16:22:22.300 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489742293
- DEBUG 16:22:22.532 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489742525
- DEBUG 16:22:22.764 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489742757
- DEBUG 16:22:22.995 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489742989
- DEBUG 16:22:23.223 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489743221
- DEBUG 16:22:23.459 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489743453
- DEBUG 16:22:23.693 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489743685
- DEBUG 16:22:23.924 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489743917
- DEBUG 16:22:24.156 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489744149
- DEBUG 16:22:24.387 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489744381
- DEBUG 16:22:24.619 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489744613
- DEBUG 16:22:24.851 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489744845
- DEBUG 16:22:25.083 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489745077
- DEBUG 16:22:25.085 22867 aiservice.py 79a64d81b6fb Batch for camera test collected, spend 5.572937726974487 sec
- INFO 16:22:25.086 22867 aiservice.py e9a726fb7925 Start collecting batch for camera test, spend 5.394859075546265 sec
- INFO 16:22:25.092 22842 aiservice.py 79a64d81b6fb Start processing batch for camera test, spend 5.579809665679932 sec
- DEBUG 16:22:25.093 22842 foreman.py 79a64d81b6fb Run cmd core.video_process_worker(<processing.command.SimpleCommand object at 0x7f9b622674a8>)
- DEBUG 16:22:25.105 22842 foreman.py 79a64d81b6fb Running=0 finished=1
- DEBUG 16:22:25.106 22842 foreman.py 79a64d81b6fb Run cmd core.cnn(<processing.command.SeparateProcessCommand object at 0x7f9b62267518>)
- DEBUG 16:22:25.107 22865 command.py 79a64d81b6fb Start core.cnn
- 24
- DEBUG 16:22:25.129 22842 shared_array.py ------------ Shared memory free 152, used 48
- INFO 16:22:25.131 22842 aiservice.py 282ac4e67d23 Put batch for camera test request to queue, spend 0.0025548934936523438 sec
- [TensorRT] INFO: Detecting input data format
- [TensorRT] INFO: Dectected data format LCHW
- [TensorRT] INFO: Verifying data format is uniform accross all input layers
- [TensorRT] INFO: Verifying batches are the expected data type
- [TensorRT] INFO: Executing inference
- [TensorRT] INFO: Number of Batches: 1
- ERROR 16:22:25.185 22865 command.py 79a64d81b6fb Worker core.cnn failed
- Traceback (most recent call last):
- File "/home/denis/beta1/processing/command.py", line 87, in _execute
- result = worker.do(batch)
- File "/home/denis/beta1/core/cnn/worker.py", line 25, in do
- batch.payload.get("image_idx")
- File "/home/denis/beta1/core/cnn/rtpose.py", line 57, in process_frames_by_batch
- frames = self.process_frames(images, image_indexes)
- File "/home/denis/beta1/core/cnn/rtpose.py", line 23, in process_frames
- estimated = self.pose_estimator.estimate(images, self.scale_level)
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 571, in estimate
- result = self.process(imgs, scale=scale)
- File "/home/denis/beta1/core/BatchProcessor.py", line 36, in process
- result.append(self._process(batch, **kwargs))
- File "/home/denis/beta1/core/cnn/pose_estimation.py", line 595, in _process
- l1s, l2s = self.engine.infer(items)
- File "/usr/lib/python3.5/dist-packages/tensorrt/lite/engine.py", line 668, in infer
- cuda.memcpy_htod_async(self.d_input[i], np.ascontiguousarray(input_data[i][n].astype(self.data_type.input_type())), stream)
- pycuda._driver.LogicError: cuMemcpyHtoDAsync failed: invalid argument
- DEBUG 16:22:25.190 22842 foreman.py 79a64d81b6fb Running=0 finished=1
- CRITICAL 16:22:25.190 22842 foreman.py 79a64d81b6fb Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f4e0> that can not be done. Required {'images_time', 'frames', 'treaded_video', 'image_idx', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- CRITICAL 16:22:25.190 22842 foreman.py 79a64d81b6fb Pipe has unfinished command <processing.foreman._CmdWrapper object at 0x7f9b6227f3c8> that can not be done. Required {'treaded_video', 'images_time', 'tracks_merged', 'track_frames', 'images'}, Have dict_keys(['image_idx', 'treaded_video', 'images_time'])
- ERROR 16:22:25.191 22842 conclusion.py ------------ No Telegram's chats connected
- INFO 16:22:25.191 22842 aiservice.py 79a64d81b6fb Batch for camera test processed, spend 0.09888029098510742 sec
- DEBUG 16:22:25.192 22842 shared_array.py ------------ Shared memory free 152, used 48
- DEBUG 16:22:25.315 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489745309
- DEBUG 16:22:25.548 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489745541
- DEBUG 16:22:25.776 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489745773
- DEBUG 16:22:26.011 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489746005
- DEBUG 16:22:26.248 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489746237
- DEBUG 16:22:26.472 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489746469
- DEBUG 16:22:26.703 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489746701
- DEBUG 16:22:26.940 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489746933
- DEBUG 16:22:27.171 22867 streamer_source.py ------------ Frame codec: 4, size: 921600, resolution: 640x480 time: 1524489747165
- Process Process-1:
- Process Process-3:
- Process Process-2:
- Process Process-4:
- Traceback (most recent call last):
- File "/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap
- self.run()
- File "/usr/lib/python3.5/multiprocessing/process.py", line 93, in run
- self._target(*self._args, **self._kwargs)
- File "/home/denis/beta1/processing/command.py", line 167, in _mainloop
- batch = queue_in.get()
- File "/usr/lib/python3.5/multiprocessing/queues.py", line 94, in get
- res = self._recv_bytes()
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 216, in recv_bytes
- buf = self._recv_bytes(maxlength)
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 407, in _recv_bytes
- buf = self._recv(4)
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 379, in _recv
- chunk = read(handle, remaining)
- Traceback (most recent call last):
- KeyboardInterrupt
- Traceback (most recent call last):
- File "/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap
- self.run()
- File "/usr/lib/python3.5/multiprocessing/process.py", line 93, in run
- self._target(*self._args, **self._kwargs)
- File "/home/denis/beta1/processing/command.py", line 167, in _mainloop
- batch = queue_in.get()
- File "/usr/lib/python3.5/multiprocessing/queues.py", line 94, in get
- res = self._recv_bytes()
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 216, in recv_bytes
- buf = self._recv_bytes(maxlength)
- File "/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap
- self.run()
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 407, in _recv_bytes
- buf = self._recv(4)
- File "/usr/lib/python3.5/multiprocessing/process.py", line 93, in run
- self._target(*self._args, **self._kwargs)
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 379, in _recv
- chunk = read(handle, remaining)
- File "/home/denis/beta1/processing/command.py", line 167, in _mainloop
- batch = queue_in.get()
- File "/usr/lib/python3.5/multiprocessing/queues.py", line 94, in get
- res = self._recv_bytes()
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 216, in recv_bytes
- buf = self._recv_bytes(maxlength)
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 407, in _recv_bytes
- buf = self._recv(4)
- File "/usr/lib/python3.5/multiprocessing/connection.py", line 379, in _recv
- chunk = read(handle, remaining)
- KeyboardInterrupt
- KeyboardInterrupt
- Traceback (most recent call last):
- File "/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap
- self.run()
- File "/usr/lib/python3.5/multiprocessing/process.py", line 93, in run
- self._target(*self._args, **self._kwargs)
- File "/home/denis/beta1/processing/aiservice.py", line 230, in dispatch_images
- array, cfg, payload = stream_reader.next(camera_name, array, cfg)
- File "/home/denis/beta1/processing/batch_reader.py", line 76, in next
- img = stream.next()
- File "/home/denis/beta1/sensor_sources/streamer_source.py", line 77, in next
- data = next(self._stream)
- File "/usr/local/lib/python3.5/dist-packages/grpc/_channel.py", line 347, in __next__
- return self._next()
- File "/usr/local/lib/python3.5/dist-packages/grpc/_channel.py", line 332, in _next
- self._state.condition.wait()
- File "/usr/lib/python3.5/threading.py", line 293, in wait
- waiter.acquire()
- KeyboardInterrupt
- Traceback (most recent call last):
- File "/home/denis/beta1/main.py", line 12, in <module>
- main()
- File "/home/denis/beta1/main.py", line 8, in main
- service.serve()
- File "/home/denis/beta1/processing/aiservice.py", line 254, in serve
- loop.run_forever()
- File "/usr/lib/python3.5/asyncio/base_events.py", line 345, in run_forever
- self._run_once()
- File "/usr/lib/python3.5/asyncio/base_events.py", line 1276, in _run_once
- event_list = self._selector.select(timeout)
- File "/usr/lib/python3.5/selectors.py", line 441, in select
- fd_event_list = self._epoll.poll(timeout, max_ev)
- KeyboardInterrupt
- ERROR 16:22:27.663 22842 base_events.py ------------ Task was destroyed but it is pending!
- task: <Task pending coro=<AiService._processing() running at /home/denis/beta1/processing/aiservice.py:173> wait_for=<Future pending cb=[Task._wakeup()]>>
- ERROR 16:22:27.663 22842 base_events.py ------------ Task was destroyed but it is pending!
- task: <Task pending coro=<AiService._processing() running at /home/denis/beta1/processing/aiservice.py:173> wait_for=<Future pending cb=[Task._wakeup()]>>
- ERROR 16:22:27.663 22842 base_events.py ------------ Task was destroyed but it is pending!
- task: <Task pending coro=<AiService._processing() running at /home/denis/beta1/processing/aiservice.py:173> wait_for=<Future pending cb=[Task._wakeup()]>>
- ERROR 16:22:27.663 22842 base_events.py ------------ Task was destroyed but it is pending!
- task: <Task pending coro=<AiService._requesting() running at /home/denis/beta1/processing/aiservice.py:154> wait_for=<Future pending cb=[Task._wakeup()]>>
- Process finished with exit code 1
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