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  1. tanasi@mldlibo:~/Documents/models/research/object_detection$ python3 model_main.py --logtostderr --train_dir=/home/tanasi/Documents/models/research/object_detection/training/ --pipeline_config_path=/home/tanasi/Documents/models/research/object_detection/training/ssd_mobilenet_v1_pets.config
  2. /home/tanasi/Documents/models/research/object_detection/utils/visualization_utils.py:27: UserWarning:
  3. This call to matplotlib.use() has no effect because the backend has already
  4. been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
  5. or matplotlib.backends is imported for the first time.
  6.  
  7. The backend was *originally* set to 'Qt5Agg' by the following code:
  8. File "model_main.py", line 26, in <module>
  9. from object_detection import model_lib
  10. File "/home/tanasi/Documents/models/research/object_detection/model_lib.py", line 27, in <module>
  11. from object_detection import eval_util
  12. File "/home/tanasi/Documents/models/research/object_detection/eval_util.py", line 27, in <module>
  13. from object_detection.metrics import coco_evaluation
  14. File "/home/tanasi/Documents/models/research/object_detection/metrics/coco_evaluation.py", line 20, in <module>
  15. from object_detection.metrics import coco_tools
  16. File "/home/tanasi/Documents/models/research/object_detection/metrics/coco_tools.py", line 47, in <module>
  17. from pycocotools import coco
  18. File "/home/tanasi/Documents/models/research/object_detection/pycocotools/coco.py", line 49, in <module>
  19. import matplotlib.pyplot as plt
  20. File "/home/tanasi/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py", line 71, in <module>
  21. from matplotlib.backends import pylab_setup
  22. File "/home/tanasi/anaconda3/lib/python3.6/site-packages/matplotlib/backends/__init__.py", line 16, in <module>
  23. line for line in traceback.format_stack()
  24.  
  25.  
  26. import matplotlib; matplotlib.use('Agg') # pylint: disable=multiple-statements
  27. WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
  28. W1003 14:41:59.216960 140034557224768 tf_logging.py:125] Forced number of epochs for all eval validations to be 1.
  29. WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.
  30. W1003 14:41:59.217157 140034557224768 tf_logging.py:125] Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.
  31. WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmpxpve8_zq
  32. W1003 14:41:59.217715 140034557224768 tf_logging.py:125] Using temporary folder as model directory: /tmp/tmpxpve8_zq
  33. WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x7f5ba7fba9d8>) includes params argument, but params are not passed to Estimator.
  34. W1003 14:41:59.218304 140034557224768 tf_logging.py:125] Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x7f5ba7fba9d8>) includes params argument, but params are not passed to Estimator.
  35. WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
  36. W1003 14:41:59.239375 140034557224768 tf_logging.py:125] num_readers has been reduced to 1 to match input file shards.
  37. WARNING:tensorflow:From /home/tanasi/Documents/models/research/object_detection/core/preprocessor.py:1207: calling squeeze (from tensorflow.python.ops.array_ops) with squeeze_dims is deprecated and will be removed in a future version.
  38. Instructions for updating:
  39. Use the `axis` argument instead
  40. W1003 14:41:59.483586 140034557224768 tf_logging.py:125] From /home/tanasi/Documents/models/research/object_detection/core/preprocessor.py:1207: calling squeeze (from tensorflow.python.ops.array_ops) with squeeze_dims is deprecated and will be removed in a future version.
  41. Instructions for updating:
  42. Use the `axis` argument instead
  43. WARNING:tensorflow:From /home/tanasi/Documents/models/research/object_detection/builders/dataset_builder.py:148: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
  44. Instructions for updating:
  45. Use `tf.data.Dataset.batch(..., drop_remainder=True)`.
  46. W1003 14:42:00.538476 140034557224768 tf_logging.py:125] From /home/tanasi/Documents/models/research/object_detection/builders/dataset_builder.py:148: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
  47. Instructions for updating:
  48. Use `tf.data.Dataset.batch(..., drop_remainder=True)`.
  49. W1003 14:42:02.637310 140034557224768 variables_helper.py:141] Variable [BoxPredictor_0/ClassPredictor/biases] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[273]], model variable shape: [[6]]. This variable will not be initialized from the checkpoint.
  50. W1003 14:42:02.637425 140034557224768 variables_helper.py:141] Variable [BoxPredictor_0/ClassPredictor/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 512, 273]], model variable shape: [[1, 1, 512, 6]]. This variable will not be initialized from the checkpoint.
  51. W1003 14:42:02.637537 140034557224768 variables_helper.py:141] Variable [BoxPredictor_1/ClassPredictor/biases] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[546]], model variable shape: [[12]]. This variable will not be initialized from the checkpoint.
  52. W1003 14:42:02.637593 140034557224768 variables_helper.py:141] Variable [BoxPredictor_1/ClassPredictor/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 1024, 546]], model variable shape: [[1, 1, 1024, 12]]. This variable will not be initialized from the checkpoint.
  53. W1003 14:42:02.637680 140034557224768 variables_helper.py:141] Variable [BoxPredictor_2/ClassPredictor/biases] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[546]], model variable shape: [[12]]. This variable will not be initialized from the checkpoint.
  54. W1003 14:42:02.637731 140034557224768 variables_helper.py:141] Variable [BoxPredictor_2/ClassPredictor/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 512, 546]], model variable shape: [[1, 1, 512, 12]]. This variable will not be initialized from the checkpoint.
  55. W1003 14:42:02.637812 140034557224768 variables_helper.py:141] Variable [BoxPredictor_3/ClassPredictor/biases] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[546]], model variable shape: [[12]]. This variable will not be initialized from the checkpoint.
  56. W1003 14:42:02.637862 140034557224768 variables_helper.py:141] Variable [BoxPredictor_3/ClassPredictor/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 256, 546]], model variable shape: [[1, 1, 256, 12]]. This variable will not be initialized from the checkpoint.
  57. W1003 14:42:02.637942 140034557224768 variables_helper.py:141] Variable [BoxPredictor_4/ClassPredictor/biases] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[546]], model variable shape: [[12]]. This variable will not be initialized from the checkpoint.
  58. W1003 14:42:02.637990 140034557224768 variables_helper.py:141] Variable [BoxPredictor_4/ClassPredictor/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 256, 546]], model variable shape: [[1, 1, 256, 12]]. This variable will not be initialized from the checkpoint.
  59. W1003 14:42:02.638081 140034557224768 variables_helper.py:141] Variable [BoxPredictor_5/ClassPredictor/biases] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[546]], model variable shape: [[12]]. This variable will not be initialized from the checkpoint.
  60. W1003 14:42:02.638131 140034557224768 variables_helper.py:141] Variable [BoxPredictor_5/ClassPredictor/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 128, 546]], model variable shape: [[1, 1, 128, 12]]. This variable will not be initialized from the checkpoint.
  61. W1003 14:42:02.640202 140034557224768 variables_helper.py:144] Variable [global_step] is not available in checkpoint
  62. 2018-10-03 14:42:15.879137: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  63. 2018-10-03 14:42:16.066006: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 0 with properties:
  64. name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.683
  65. pciBusID: 0000:03:00.0
  66. totalMemory: 10.92GiB freeMemory: 10.76GiB
  67. 2018-10-03 14:42:16.230117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 1 with properties:
  68. name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.683
  69. pciBusID: 0000:04:00.0
  70. totalMemory: 10.91GiB freeMemory: 10.22GiB
  71. 2018-10-03 14:42:16.231077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1490] Adding visible gpu devices: 0, 1
  72. 2018-10-03 14:42:16.611417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix:
  73. 2018-10-03 14:42:16.611467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 0 1
  74. 2018-10-03 14:42:16.611474: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0: N Y
  75. 2018-10-03 14:42:16.611494: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 1: Y N
  76. 2018-10-03 14:42:16.611899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10401 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0, compute capability: 6.1)
  77. 2018-10-03 14:42:16.708981: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 9877 MB memory) -> physical GPU (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:04:00.0, compute capability: 6.1)
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