Create a new version of paste:

Batch size: 8
Epochs: 10
Save to: models/maskrcnn-norm-pre-24x40
MaskRCNN(
  (transform): GeneralizedRCNNTransform(
      Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
      Resize(min_size=(800,), max_size=1333, mode='bilinear')
  )
  (backbone): BackboneWithFPN(
    (body): IntermediateLayerGetter(
      (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
      (bn1): FrozenBatchNorm2d(64, eps=1e-05)
      (relu): ReLU(inplace=True)
      (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
      (layer1): Sequential(
        (0): Bottleneck(
          (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(64, eps=1e-05)
          (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(64, eps=1e-05)
          (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(256, eps=1e-05)
          (relu): ReLU(inplace=True)
          (downsample): Sequential(
            (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
            (1): FrozenBatchNorm2d(256, eps=1e-05)
          )
        )
        (1): Bottleneck(
          (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(64, eps=1e-05)
          (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(64, eps=1e-05)
          (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(256, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (2): Bottleneck(
          (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(64, eps=1e-05)
          (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(64, eps=1e-05)
          (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(256, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
      )
      (layer2): Sequential(
        (0): Bottleneck(
          (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(128, eps=1e-05)
          (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(128, eps=1e-05)
          (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(512, eps=1e-05)
          (relu): ReLU(inplace=True)
          (downsample): Sequential(
            (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
            (1): FrozenBatchNorm2d(512, eps=1e-05)
          )
        )
        (1): Bottleneck(
          (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(128, eps=1e-05)
          (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(128, eps=1e-05)
          (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(512, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (2): Bottleneck(
          (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(128, eps=1e-05)
          (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(128, eps=1e-05)
          (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(512, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (3): Bottleneck(
          (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(128, eps=1e-05)
          (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(128, eps=1e-05)
          (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(512, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
      )
      (layer3): Sequential(
        (0): Bottleneck(
          (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(256, eps=1e-05)
          (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(256, eps=1e-05)
          (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
          (relu): ReLU(inplace=True)
          (downsample): Sequential(
            (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
            (1): FrozenBatchNorm2d(1024, eps=1e-05)
          )
        )
        (1): Bottleneck(
          (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(256, eps=1e-05)
          (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(256, eps=1e-05)
          (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (2): Bottleneck(
          (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(256, eps=1e-05)
          (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(256, eps=1e-05)
          (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (3): Bottleneck(
          (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(256, eps=1e-05)
          (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(256, eps=1e-05)
          (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (4): Bottleneck(
          (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(256, eps=1e-05)
          (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(256, eps=1e-05)
          (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (5): Bottleneck(
          (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(256, eps=1e-05)
          (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(256, eps=1e-05)
          (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
      )
      (layer4): Sequential(
        (0): Bottleneck(
          (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(512, eps=1e-05)
          (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(512, eps=1e-05)
          (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(2048, eps=1e-05)
          (relu): ReLU(inplace=True)
          (downsample): Sequential(
            (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
            (1): FrozenBatchNorm2d(2048, eps=1e-05)
          )
        )
        (1): Bottleneck(
          (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(512, eps=1e-05)
          (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(512, eps=1e-05)
          (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(2048, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
        (2): Bottleneck(
          (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn1): FrozenBatchNorm2d(512, eps=1e-05)
          (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
          (bn2): FrozenBatchNorm2d(512, eps=1e-05)
          (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn3): FrozenBatchNorm2d(2048, eps=1e-05)
          (relu): ReLU(inplace=True)
        )
      )
    )
    (fpn): FeaturePyramidNetwork(
      (inner_blocks): ModuleList(
        (0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1))
        (1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
        (2): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))
        (3): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))
      )
      (layer_blocks): ModuleList(
        (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (extra_blocks): LastLevelMaxPool()
    )
  )
  (rpn): RegionProposalNetwork(
    (anchor_generator): AnchorGenerator()
    (head): RPNHead(
      (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (cls_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1))
      (bbox_pred): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1))
    )
  )
  (roi_heads): RoIHeads(
    (box_roi_pool): MultiScaleRoIAlign(featmap_names=['0', '1', '2', '3'], output_size=(7, 7), sampling_ratio=2)
    (box_head): TwoMLPHead(
      (fc6): Linear(in_features=12544, out_features=1024, bias=True)
      (fc7): Linear(in_features=1024, out_features=1024, bias=True)
    )
    (box_predictor): FastRCNNPredictor(
      (cls_score): Linear(in_features=1024, out_features=91, bias=True)
      (bbox_pred): Linear(in_features=1024, out_features=364, bias=True)
    )
    (mask_roi_pool): MultiScaleRoIAlign(featmap_names=['0', '1', '2', '3'], output_size=(14, 14), sampling_ratio=2)
    (mask_head): MaskRCNNHeads(
      (mask_fcn1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu1): ReLU(inplace=True)
      (mask_fcn2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu2): ReLU(inplace=True)
      (mask_fcn3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu3): ReLU(inplace=True)
      (mask_fcn4): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu4): ReLU(inplace=True)
    )
    (mask_predictor): MaskRCNNPredictor(
      (conv5_mask): ConvTranspose2d(256, 256, kernel_size=(2, 2), stride=(2, 2))
      (relu): ReLU(inplace=True)
      (mask_fcn_logits): Conv2d(256, 91, kernel_size=(1, 1), stride=(1, 1))
    )
  )
)
Epoch: [0]  [   0/2250]  eta: 4:02:42  lr: 0.000010  loss: 3.6948 (3.6948)  loss_classifier: 1.0339 (1.0339)  loss_box_reg: 0.0427 (0.0427)  loss_mask: 1.6964 (1.6964)  loss_objectness: 0.6665 (0.6665)  loss_rpn_box_reg: 0.2553 (0.2553)  time: 6.4720  data: 2.3986  max mem: 8236
Epoch: [0]  [  10/2250]  eta: 0:53:03  lr: 0.000060  loss: 2.8054 (2.8462)  loss_classifier: 0.9162 (0.8575)  loss_box_reg: 0.0464 (0.0463)  loss_mask: 1.2559 (1.3667)  loss_objectness: 0.3156 (0.3288)  loss_rpn_box_reg: 0.2487 (0.2469)  time: 1.4213  data: 0.2223  max mem: 8505
Epoch: [0]  [  20/2250]  eta: 0:42:42  lr: 0.000110  loss: 1.7113 (2.0399)  loss_classifier: 0.4461 (0.5559)  loss_box_reg: 0.0472 (0.0511)  loss_mask: 0.9210 (1.0273)  loss_objectness: 0.0417 (0.1819)  loss_rpn_box_reg: 0.2220 (0.2237)  time: 0.8830  data: 0.0030  max mem: 8505
Epoch: [0]  [  30/2250]  eta: 0:39:17  lr: 0.000160  loss: 0.8471 (1.6081)  loss_classifier: 0.0956 (0.4033)  loss_box_reg: 0.0681 (0.0583)  loss_mask: 0.4683 (0.8269)  loss_objectness: 0.0133 (0.1267)  loss_rpn_box_reg: 0.1628 (0.1928)  time: 0.8645  data: 0.0020  max mem: 8505
Epoch: [0]  [  40/2250]  eta: 0:37:19  lr: 0.000210  loss: 0.5271 (1.3268)  loss_classifier: 0.0836 (0.3259)  loss_box_reg: 0.0724 (0.0618)  loss_mask: 0.2728 (0.6684)  loss_objectness: 0.0120 (0.0997)  loss_rpn_box_reg: 0.1094 (0.1710)  time: 0.8708  data: 0.0017  max mem: 8505
Epoch: [0]  [  50/2250]  eta: 0:36:07  lr: 0.000260  loss: 0.3775 (1.1278)  loss_classifier: 0.0848 (0.2787)  loss_box_reg: 0.0716 (0.0637)  loss_mask: 0.0875 (0.5474)  loss_objectness: 0.0116 (0.0825)  loss_rpn_box_reg: 0.0929 (0.1556)  time: 0.8658  data: 0.0026  max mem: 8505
Epoch: [0]  [  60/2250]  eta: 0:35:16  lr: 0.000310  loss: 0.2849 (0.9858)  loss_classifier: 0.0819 (0.2456)  loss_box_reg: 0.0706 (0.0648)  loss_mask: 0.0214 (0.4599)  loss_objectness: 0.0124 (0.0711)  loss_rpn_box_reg: 0.0875 (0.1444)  time: 0.8707  data: 0.0031  max mem: 8505
Epoch: [0]  [  70/2250]  eta: 0:34:31  lr: 0.000360  loss: 0.2437 (0.8796)  loss_classifier: 0.0700 (0.2200)  loss_box_reg: 0.0656 (0.0648)  loss_mask: 0.0080 (0.3960)  loss_objectness: 0.0130 (0.0630)  loss_rpn_box_reg: 0.0851 (0.1358)  time: 0.8620  data: 0.0020  max mem: 8505
Epoch: [0]  [  80/2250]  eta: 0:34:02  lr: 0.000410  loss: 0.2229 (0.7982)  loss_classifier: 0.0598 (0.1999)  loss_box_reg: 0.0634 (0.0646)  loss_mask: 0.0047 (0.3476)  loss_objectness: 0.0128 (0.0569)  loss_rpn_box_reg: 0.0830 (0.1292)  time: 0.8636  data: 0.0028  max mem: 8505
Epoch: [0]  [  90/2250]  eta: 0:33:39  lr: 0.000460  loss: 0.2177 (0.7340)  loss_classifier: 0.0557 (0.1840)  loss_box_reg: 0.0631 (0.0647)  loss_mask: 0.0037 (0.3098)  loss_objectness: 0.0112 (0.0517)  loss_rpn_box_reg: 0.0808 (0.1237)  time: 0.8792  data: 0.0019  max mem: 8505
Epoch: [0]  [ 100/2250]  eta: 0:33:18  lr: 0.000509  loss: 0.2070 (0.6813)  loss_classifier: 0.0530 (0.1709)  loss_box_reg: 0.0630 (0.0644)  loss_mask: 0.0031 (0.2794)  loss_objectness: 0.0087 (0.0474)  loss_rpn_box_reg: 0.0784 (0.1192)  time: 0.8829  data: 0.0006  max mem: 8505
Epoch: [0]  [ 110/2250]  eta: 0:33:00  lr: 0.000559  loss: 0.2037 (0.6387)  loss_classifier: 0.0519 (0.1603)  loss_box_reg: 0.0630 (0.0644)  loss_mask: 0.0023 (0.2544)  loss_objectness: 0.0093 (0.0441)  loss_rpn_box_reg: 0.0780 (0.1154)  time: 0.8828  data: 0.0010  max mem: 8505
Epoch: [0]  [ 120/2250]  eta: 0:32:38  lr: 0.000609  loss: 0.2014 (0.6023)  loss_classifier: 0.0505 (0.1511)  loss_box_reg: 0.0632 (0.0642)  loss_mask: 0.0020 (0.2336)  loss_objectness: 0.0093 (0.0412)  loss_rpn_box_reg: 0.0772 (0.1122)  time: 0.8681  data: 0.0019  max mem: 8505
Epoch: [0]  [ 130/2250]  eta: 0:32:18  lr: 0.000659  loss: 0.1974 (0.5714)  loss_classifier: 0.0492 (0.1433)  loss_box_reg: 0.0618 (0.0641)  loss_mask: 0.0017 (0.2159)  loss_objectness: 0.0082 (0.0386)  loss_rpn_box_reg: 0.0762 (0.1095)  time: 0.8535  data: 0.0020  max mem: 8505
Epoch: [0]  [ 140/2250]  eta: 0:32:00  lr: 0.000709  loss: 0.1965 (0.5449)  loss_classifier: 0.0486 (0.1366)  loss_box_reg: 0.0627 (0.0641)  loss_mask: 0.0014 (0.2006)  loss_objectness: 0.0066 (0.0364)  loss_rpn_box_reg: 0.0761 (0.1071)  time: 0.8539  data: 0.0016  max mem: 8505
Epoch: [0]  [ 150/2250]  eta: 0:31:43  lr: 0.000759  loss: 0.1918 (0.5214)  loss_classifier: 0.0478 (0.1307)  loss_box_reg: 0.0627 (0.0640)  loss_mask: 0.0012 (0.1874)  loss_objectness: 0.0056 (0.0344)  loss_rpn_box_reg: 0.0747 (0.1049)  time: 0.8546  data: 0.0016  max mem: 8505
Epoch: [0]  [ 160/2250]  eta: 0:31:28  lr: 0.000809  loss: 0.1833 (0.5001)  loss_classifier: 0.0440 (0.1251)  loss_box_reg: 0.0595 (0.0634)  loss_mask: 0.0012 (0.1759)  loss_objectness: 0.0065 (0.0327)  loss_rpn_box_reg: 0.0732 (0.1030)  time: 0.8563  data: 0.0022  max mem: 8505
Epoch: [0]  [ 170/2250]  eta: 0:31:15  lr: 0.000859  loss: 0.1771 (0.4812)  loss_classifier: 0.0407 (0.1201)  loss_box_reg: 0.0552 (0.0630)  loss_mask: 0.0010 (0.1656)  loss_objectness: 0.0059 (0.0312)  loss_rpn_box_reg: 0.0730 (0.1012)  time: 0.8667  data: 0.0022  max mem: 8505
Epoch: [0]  [ 180/2250]  eta: 0:31:02  lr: 0.000909  loss: 0.1704 (0.4639)  loss_classifier: 0.0378 (0.1155)  loss_box_reg: 0.0552 (0.0626)  loss_mask: 0.0010 (0.1565)  loss_objectness: 0.0058 (0.0298)  loss_rpn_box_reg: 0.0711 (0.0994)  time: 0.8701  data: 0.0031  max mem: 8505
Epoch: [0]  [ 190/2250]  eta: 0:30:50  lr: 0.000959  loss: 0.1655 (0.4483)  loss_classifier: 0.0371 (0.1115)  loss_box_reg: 0.0557 (0.0623)  loss_mask: 0.0010 (0.1484)  loss_objectness: 0.0062 (0.0286)  loss_rpn_box_reg: 0.0664 (0.0975)  time: 0.8700  data: 0.0037  max mem: 8505
Epoch: [0]  [ 200/2250]  eta: 0:30:37  lr: 0.001009  loss: 0.1632 (0.4341)  loss_classifier: 0.0388 (0.1079)  loss_box_reg: 0.0572 (0.0621)  loss_mask: 0.0009 (0.1411)  loss_objectness: 0.0059 (0.0274)  loss_rpn_box_reg: 0.0617 (0.0956)  time: 0.8672  data: 0.0024  max mem: 8505
Epoch: [0]  [ 210/2250]  eta: 0:30:25  lr: 0.001059  loss: 0.1553 (0.4206)  loss_classifier: 0.0390 (0.1046)  loss_box_reg: 0.0545 (0.0617)  loss_mask: 0.0007 (0.1344)  loss_objectness: 0.0049 (0.0264)  loss_rpn_box_reg: 0.0540 (0.0935)  time: 0.8623  data: 0.0014  max mem: 8505
Epoch: [0]  [ 220/2250]  eta: 0:30:13  lr: 0.001109  loss: 0.1375 (0.4075)  loss_classifier: 0.0374 (0.1016)  loss_box_reg: 0.0464 (0.0608)  loss_mask: 0.0006 (0.1283)  loss_objectness: 0.0047 (0.0254)  loss_rpn_box_reg: 0.0485 (0.0915)  time: 0.8633  data: 0.0005  max mem: 8505
Epoch: [0]  [ 230/2250]  eta: 0:30:01  lr: 0.001159  loss: 0.1256 (0.3949)  loss_classifier: 0.0353 (0.0986)  loss_box_reg: 0.0381 (0.0597)  loss_mask: 0.0005 (0.1228)  loss_objectness: 0.0042 (0.0244)  loss_rpn_box_reg: 0.0463 (0.0894)  time: 0.8598  data: 0.0004  max mem: 8505
Epoch: [0]  [ 240/2250]  eta: 0:29:50  lr: 0.001209  loss: 0.1144 (0.3833)  loss_classifier: 0.0328 (0.0959)  loss_box_reg: 0.0326 (0.0585)  loss_mask: 0.0004 (0.1177)  loss_objectness: 0.0042 (0.0236)  loss_rpn_box_reg: 0.0451 (0.0876)  time: 0.8599  data: 0.0015  max mem: 8505
Epoch: [0]  [ 250/2250]  eta: 0:29:39  lr: 0.001259  loss: 0.1091 (0.3723)  loss_classifier: 0.0312 (0.0933)  loss_box_reg: 0.0276 (0.0572)  loss_mask: 0.0003 (0.1131)  loss_objectness: 0.0041 (0.0228)  loss_rpn_box_reg: 0.0438 (0.0859)  time: 0.8602  data: 0.0031  max mem: 8505
Epoch: [0]  [ 260/2250]  eta: 0:29:27  lr: 0.001309  loss: 0.1026 (0.3618)  loss_classifier: 0.0304 (0.0909)  loss_box_reg: 0.0251 (0.0559)  loss_mask: 0.0003 (0.1088)  loss_objectness: 0.0042 (0.0221)  loss_rpn_box_reg: 0.0410 (0.0841)  time: 0.8605  data: 0.0028  max mem: 8505
Epoch: [0]  [ 270/2250]  eta: 0:29:16  lr: 0.001359  loss: 0.0972 (0.3520)  loss_classifier: 0.0295 (0.0886)  loss_box_reg: 0.0229 (0.0547)  loss_mask: 0.0003 (0.1048)  loss_objectness: 0.0038 (0.0215)  loss_rpn_box_reg: 0.0390 (0.0825)  time: 0.8605  data: 0.0014  max mem: 8505
Epoch: [0]  [ 280/2250]  eta: 0:29:06  lr: 0.001409  loss: 0.0936 (0.3428)  loss_classifier: 0.0288 (0.0865)  loss_box_reg: 0.0219 (0.0535)  loss_mask: 0.0003 (0.1010)  loss_objectness: 0.0033 (0.0208)  loss_rpn_box_reg: 0.0390 (0.0809)  time: 0.8602  data: 0.0045  max mem: 8505
Epoch: [0]  [ 290/2250]  eta: 0:28:55  lr: 0.001459  loss: 0.0892 (0.3341)  loss_classifier: 0.0280 (0.0845)  loss_box_reg: 0.0205 (0.0523)  loss_mask: 0.0002 (0.0976)  loss_objectness: 0.0037 (0.0202)  loss_rpn_box_reg: 0.0377 (0.0795)  time: 0.8594  data: 0.0055  max mem: 8505
Epoch: [0]  [ 300/2250]  eta: 0:28:44  lr: 0.001508  loss: 0.0923 (0.3261)  loss_classifier: 0.0281 (0.0826)  loss_box_reg: 0.0206 (0.0513)  loss_mask: 0.0002 (0.0943)  loss_objectness: 0.0037 (0.0197)  loss_rpn_box_reg: 0.0377 (0.0782)  time: 0.8595  data: 0.0023  max mem: 8505
Epoch: [0]  [ 310/2250]  eta: 0:28:34  lr: 0.001558  loss: 0.0924 (0.3185)  loss_classifier: 0.0274 (0.0809)  loss_box_reg: 0.0207 (0.0503)  loss_mask: 0.0002 (0.0913)  loss_objectness: 0.0036 (0.0192)  loss_rpn_box_reg: 0.0372 (0.0768)  time: 0.8606  data: 0.0020  max mem: 8505
Epoch: [0]  [ 320/2250]  eta: 0:28:26  lr: 0.001608  loss: 0.0861 (0.3112)  loss_classifier: 0.0272 (0.0792)  loss_box_reg: 0.0181 (0.0493)  loss_mask: 0.0002 (0.0885)  loss_objectness: 0.0030 (0.0187)  loss_rpn_box_reg: 0.0372 (0.0756)  time: 0.8773  data: 0.0017  max mem: 8505
Epoch: [0]  [ 330/2250]  eta: 0:28:16  lr: 0.001658  loss: 0.0789 (0.3041)  loss_classifier: 0.0250 (0.0775)  loss_box_reg: 0.0176 (0.0483)  loss_mask: 0.0002 (0.0858)  loss_objectness: 0.0030 (0.0182)  loss_rpn_box_reg: 0.0338 (0.0743)  time: 0.8806  data: 0.0016  max mem: 8505
Epoch: [0]  [ 340/2250]  eta: 0:28:06  lr: 0.001708  loss: 0.0750 (0.2973)  loss_classifier: 0.0246 (0.0759)  loss_box_reg: 0.0151 (0.0473)  loss_mask: 0.0002 (0.0833)  loss_objectness: 0.0023 (0.0177)  loss_rpn_box_reg: 0.0304 (0.0730)  time: 0.8632  data: 0.0020  max mem: 8505
Epoch: [0]  [ 350/2250]  eta: 0:27:56  lr: 0.001758  loss: 0.0701 (0.2908)  loss_classifier: 0.0241 (0.0745)  loss_box_reg: 0.0145 (0.0464)  loss_mask: 0.0001 (0.0809)  loss_objectness: 0.0025 (0.0173)  loss_rpn_box_reg: 0.0280 (0.0717)  time: 0.8608  data: 0.0035  max mem: 8505
Epoch: [0]  [ 360/2250]  eta: 0:27:46  lr: 0.001808  loss: 0.0694 (0.2847)  loss_classifier: 0.0239 (0.0731)  loss_box_reg: 0.0142 (0.0455)  loss_mask: 0.0001 (0.0787)  loss_objectness: 0.0030 (0.0170)  loss_rpn_box_reg: 0.0271 (0.0705)  time: 0.8602  data: 0.0035  max mem: 8505
Epoch: [0]  [ 370/2250]  eta: 0:27:36  lr: 0.001858  loss: 0.0639 (0.2786)  loss_classifier: 0.0232 (0.0717)  loss_box_reg: 0.0134 (0.0446)  loss_mask: 0.0001 (0.0766)  loss_objectness: 0.0030 (0.0166)  loss_rpn_box_reg: 0.0218 (0.0691)  time: 0.8609  data: 0.0025  max mem: 8505
Epoch: [0]  [ 380/2250]  eta: 0:27:26  lr: 0.001908  loss: 0.0593 (0.2729)  loss_classifier: 0.0229 (0.0704)  loss_box_reg: 0.0122 (0.0437)  loss_mask: 0.0001 (0.0746)  loss_objectness: 0.0035 (0.0162)  loss_rpn_box_reg: 0.0191 (0.0678)  time: 0.8633  data: 0.0033  max mem: 8505
Epoch: [0]  [ 390/2250]  eta: 0:27:17  lr: 0.001958  loss: 0.0574 (0.2673)  loss_classifier: 0.0227 (0.0692)  loss_box_reg: 0.0113 (0.0429)  loss_mask: 0.0001 (0.0727)  loss_objectness: 0.0033 (0.0159)  loss_rpn_box_reg: 0.0189 (0.0666)  time: 0.8620  data: 0.0030  max mem: 8505
Epoch: [0]  [ 400/2250]  eta: 0:27:07  lr: 0.002008  loss: 0.0525 (0.2619)  loss_classifier: 0.0218 (0.0680)  loss_box_reg: 0.0102 (0.0421)  loss_mask: 0.0001 (0.0709)  loss_objectness: 0.0025 (0.0156)  loss_rpn_box_reg: 0.0182 (0.0654)  time: 0.8614  data: 0.0025  max mem: 8505
Epoch: [0]  [ 410/2250]  eta: 0:26:57  lr: 0.002058  loss: 0.0486 (0.2567)  loss_classifier: 0.0211 (0.0669)  loss_box_reg: 0.0096 (0.0413)  loss_mask: 0.0001 (0.0692)  loss_objectness: 0.0025 (0.0153)  loss_rpn_box_reg: 0.0165 (0.0642)  time: 0.8611  data: 0.0037  max mem: 8505
Epoch: [0]  [ 420/2250]  eta: 0:26:48  lr: 0.002108  loss: 0.0489 (0.2519)  loss_classifier: 0.0213 (0.0658)  loss_box_reg: 0.0091 (0.0405)  loss_mask: 0.0001 (0.0675)  loss_objectness: 0.0026 (0.0150)  loss_rpn_box_reg: 0.0151 (0.0630)  time: 0.8614  data: 0.0030  max mem: 8505
Epoch: [0]  [ 430/2250]  eta: 0:26:39  lr: 0.002158  loss: 0.0452 (0.2470)  loss_classifier: 0.0211 (0.0648)  loss_box_reg: 0.0085 (0.0398)  loss_mask: 0.0001 (0.0660)  loss_objectness: 0.0026 (0.0147)  loss_rpn_box_reg: 0.0132 (0.0618)  time: 0.8662  data: 0.0012  max mem: 8505
Epoch: [0]  [ 440/2250]  eta: 0:26:30  lr: 0.002208  loss: 0.0446 (0.2425)  loss_classifier: 0.0207 (0.0638)  loss_box_reg: 0.0085 (0.0391)  loss_mask: 0.0001 (0.0645)  loss_objectness: 0.0024 (0.0144)  loss_rpn_box_reg: 0.0121 (0.0607)  time: 0.8780  data: 0.0035  max mem: 8505
Epoch: [0]  [ 450/2250]  eta: 0:26:21  lr: 0.002258  loss: 0.0447 (0.2380)  loss_classifier: 0.0203 (0.0628)  loss_box_reg: 0.0088 (0.0384)  loss_mask: 0.0001 (0.0630)  loss_objectness: 0.0026 (0.0142)  loss_rpn_box_reg: 0.0108 (0.0596)  time: 0.8738  data: 0.0030  max mem: 8505
Epoch: [0]  [ 460/2250]  eta: 0:26:11  lr: 0.002308  loss: 0.0406 (0.2338)  loss_classifier: 0.0200 (0.0619)  loss_box_reg: 0.0080 (0.0377)  loss_mask: 0.0001 (0.0617)  loss_objectness: 0.0026 (0.0139)  loss_rpn_box_reg: 0.0099 (0.0585)  time: 0.8570  data: 0.0011  max mem: 8505
Epoch: [0]  [ 470/2250]  eta: 0:26:01  lr: 0.002358  loss: 0.0396 (0.2296)  loss_classifier: 0.0194 (0.0610)  loss_box_reg: 0.0073 (0.0371)  loss_mask: 0.0001 (0.0604)  loss_objectness: 0.0022 (0.0137)  loss_rpn_box_reg: 0.0104 (0.0575)  time: 0.8511  data: 0.0023  max mem: 8505
Epoch: [0]  [ 480/2250]  eta: 0:25:51  lr: 0.002408  loss: 0.0390 (0.2257)  loss_classifier: 0.0191 (0.0602)  loss_box_reg: 0.0069 (0.0365)  loss_mask: 0.0001 (0.0591)  loss_objectness: 0.0029 (0.0135)  loss_rpn_box_reg: 0.0090 (0.0565)  time: 0.8526  data: 0.0034  max mem: 8505
Epoch: [0]  [ 490/2250]  eta: 0:25:42  lr: 0.002458  loss: 0.0379 (0.2219)  loss_classifier: 0.0190 (0.0593)  loss_box_reg: 0.0065 (0.0358)  loss_mask: 0.0001 (0.0579)  loss_objectness: 0.0032 (0.0133)  loss_rpn_box_reg: 0.0090 (0.0556)  time: 0.8550  data: 0.0034  max mem: 8505
Epoch: [0]  [ 500/2250]  eta: 0:25:32  lr: 0.002507  loss: 0.0376 (0.2182)  loss_classifier: 0.0190 (0.0585)  loss_box_reg: 0.0062 (0.0353)  loss_mask: 0.0001 (0.0568)  loss_objectness: 0.0022 (0.0131)  loss_rpn_box_reg: 0.0089 (0.0546)  time: 0.8534  data: 0.0023  max mem: 8505
Epoch: [0]  [ 510/2250]  eta: 0:25:23  lr: 0.002557  loss: 0.0372 (0.2147)  loss_classifier: 0.0198 (0.0578)  loss_box_reg: 0.0070 (0.0347)  loss_mask: 0.0001 (0.0556)  loss_objectness: 0.0014 (0.0128)  loss_rpn_box_reg: 0.0088 (0.0538)  time: 0.8515  data: 0.0016  max mem: 8505
Epoch: [0]  [ 520/2250]  eta: 0:25:13  lr: 0.002607  loss: 0.0382 (0.2113)  loss_classifier: 0.0195 (0.0570)  loss_box_reg: 0.0061 (0.0342)  loss_mask: 0.0001 (0.0546)  loss_objectness: 0.0021 (0.0127)  loss_rpn_box_reg: 0.0088 (0.0529)  time: 0.8531  data: 0.0026  max mem: 8505
Epoch: [0]  [ 530/2250]  eta: 0:25:04  lr: 0.002657  loss: 0.0358 (0.2080)  loss_classifier: 0.0194 (0.0563)  loss_box_reg: 0.0053 (0.0336)  loss_mask: 0.0001 (0.0536)  loss_objectness: 0.0021 (0.0125)  loss_rpn_box_reg: 0.0084 (0.0521)  time: 0.8533  data: 0.0026  max mem: 8505
Epoch: [0]  [ 540/2250]  eta: 0:24:54  lr: 0.002707  loss: 0.0340 (0.2048)  loss_classifier: 0.0185 (0.0556)  loss_box_reg: 0.0052 (0.0331)  loss_mask: 0.0001 (0.0526)  loss_objectness: 0.0021 (0.0123)  loss_rpn_box_reg: 0.0071 (0.0512)  time: 0.8533  data: 0.0023  max mem: 8505
Epoch: [0]  [ 550/2250]  eta: 0:24:45  lr: 0.002757  loss: 0.0336 (0.2017)  loss_classifier: 0.0189 (0.0550)  loss_box_reg: 0.0052 (0.0326)  loss_mask: 0.0001 (0.0516)  loss_objectness: 0.0022 (0.0121)  loss_rpn_box_reg: 0.0058 (0.0504)  time: 0.8540  data: 0.0016  max mem: 8505
Epoch: [0]  [ 560/2250]  eta: 0:24:36  lr: 0.002807  loss: 0.0336 (0.1987)  loss_classifier: 0.0189 (0.0543)  loss_box_reg: 0.0049 (0.0321)  loss_mask: 0.0001 (0.0507)  loss_objectness: 0.0022 (0.0119)  loss_rpn_box_reg: 0.0062 (0.0496)  time: 0.8532  data: 0.0008  max mem: 8505
Epoch: [0]  [ 570/2250]  eta: 0:24:26  lr: 0.002857  loss: 0.0311 (0.1957)  loss_classifier: 0.0188 (0.0537)  loss_box_reg: 0.0043 (0.0316)  loss_mask: 0.0001 (0.0498)  loss_objectness: 0.0018 (0.0118)  loss_rpn_box_reg: 0.0059 (0.0488)  time: 0.8534  data: 0.0012  max mem: 8505
Epoch: [0]  [ 580/2250]  eta: 0:24:17  lr: 0.002907  loss: 0.0310 (0.1929)  loss_classifier: 0.0186 (0.0531)  loss_box_reg: 0.0043 (0.0311)  loss_mask: 0.0001 (0.0490)  loss_objectness: 0.0018 (0.0116)  loss_rpn_box_reg: 0.0056 (0.0481)  time: 0.8534  data: 0.0020  max mem: 8505
Epoch: [0]  [ 590/2250]  eta: 0:24:08  lr: 0.002957  loss: 0.0320 (0.1902)  loss_classifier: 0.0187 (0.0525)  loss_box_reg: 0.0048 (0.0307)  loss_mask: 0.0001 (0.0481)  loss_objectness: 0.0025 (0.0114)  loss_rpn_box_reg: 0.0063 (0.0474)  time: 0.8538  data: 0.0016  max mem: 8505
Epoch: [0]  [ 600/2250]  eta: 0:23:59  lr: 0.003007  loss: 0.0343 (0.1876)  loss_classifier: 0.0193 (0.0520)  loss_box_reg: 0.0055 (0.0303)  loss_mask: 0.0001 (0.0473)  loss_objectness: 0.0028 (0.0113)  loss_rpn_box_reg: 0.0064 (0.0467)  time: 0.8533  data: 0.0023  max mem: 8505
Epoch: [0]  [ 610/2250]  eta: 0:23:49  lr: 0.003057  loss: 0.0326 (0.1852)  loss_classifier: 0.0195 (0.0515)  loss_box_reg: 0.0058 (0.0299)  loss_mask: 0.0001 (0.0466)  loss_objectness: 0.0022 (0.0111)  loss_rpn_box_reg: 0.0048 (0.0460)  time: 0.8528  data: 0.0047  max mem: 8505
Epoch: [0]  [ 620/2250]  eta: 0:23:40  lr: 0.003107  loss: 0.0303 (0.1827)  loss_classifier: 0.0190 (0.0509)  loss_box_reg: 0.0044 (0.0295)  loss_mask: 0.0001 (0.0459)  loss_objectness: 0.0014 (0.0110)  loss_rpn_box_reg: 0.0039 (0.0454)  time: 0.8533  data: 0.0023  max mem: 8505
Epoch: [0]  [ 630/2250]  eta: 0:23:31  lr: 0.003157  loss: 0.0292 (0.1802)  loss_classifier: 0.0192 (0.0505)  loss_box_reg: 0.0037 (0.0291)  loss_mask: 0.0001 (0.0452)  loss_objectness: 0.0016 (0.0108)  loss_rpn_box_reg: 0.0037 (0.0447)  time: 0.8533  data: 0.0005  max mem: 8505
Epoch: [0]  [ 640/2250]  eta: 0:23:22  lr: 0.003207  loss: 0.0292 (0.1779)  loss_classifier: 0.0192 (0.0500)  loss_box_reg: 0.0035 (0.0287)  loss_mask: 0.0001 (0.0445)  loss_objectness: 0.0013 (0.0107)  loss_rpn_box_reg: 0.0039 (0.0441)  time: 0.8533  data: 0.0028  max mem: 8505
Epoch: [0]  [ 650/2250]  eta: 0:23:13  lr: 0.003257  loss: 0.0278 (0.1756)  loss_classifier: 0.0176 (0.0495)  loss_box_reg: 0.0033 (0.0283)  loss_mask: 0.0001 (0.0438)  loss_objectness: 0.0012 (0.0106)  loss_rpn_box_reg: 0.0039 (0.0435)  time: 0.8533  data: 0.0039  max mem: 8505
Epoch: [0]  [ 660/2250]  eta: 0:23:04  lr: 0.003307  loss: 0.0287 (0.1734)  loss_classifier: 0.0176 (0.0490)  loss_box_reg: 0.0034 (0.0279)  loss_mask: 0.0001 (0.0431)  loss_objectness: 0.0019 (0.0104)  loss_rpn_box_reg: 0.0041 (0.0429)  time: 0.8541  data: 0.0037  max mem: 8505
Epoch: [0]  [ 670/2250]  eta: 0:22:54  lr: 0.003357  loss: 0.0295 (0.1712)  loss_classifier: 0.0183 (0.0486)  loss_box_reg: 0.0034 (0.0275)  loss_mask: 0.0001 (0.0425)  loss_objectness: 0.0015 (0.0103)  loss_rpn_box_reg: 0.0036 (0.0423)  time: 0.8541  data: 0.0037  max mem: 8505
Epoch: [0]  [ 680/2250]  eta: 0:22:45  lr: 0.003407  loss: 0.0263 (0.1691)  loss_classifier: 0.0182 (0.0481)  loss_box_reg: 0.0031 (0.0272)  loss_mask: 0.0001 (0.0418)  loss_objectness: 0.0011 (0.0102)  loss_rpn_box_reg: 0.0034 (0.0417)  time: 0.8525  data: 0.0030  max mem: 8505
Epoch: [0]  [ 690/2250]  eta: 0:22:36  lr: 0.003457  loss: 0.0259 (0.1670)  loss_classifier: 0.0180 (0.0477)  loss_box_reg: 0.0028 (0.0268)  loss_mask: 0.0001 (0.0413)  loss_objectness: 0.0012 (0.0101)  loss_rpn_box_reg: 0.0038 (0.0412)  time: 0.8533  data: 0.0045  max mem: 8505
Epoch: [0]  [ 700/2250]  eta: 0:22:27  lr: 0.003506  loss: 0.0253 (0.1650)  loss_classifier: 0.0177 (0.0473)  loss_box_reg: 0.0029 (0.0265)  loss_mask: 0.0001 (0.0407)  loss_objectness: 0.0013 (0.0099)  loss_rpn_box_reg: 0.0030 (0.0406)  time: 0.8541  data: 0.0039  max mem: 8505
Epoch: [0]  [ 710/2250]  eta: 0:22:18  lr: 0.003556  loss: 0.0258 (0.1631)  loss_classifier: 0.0176 (0.0468)  loss_box_reg: 0.0036 (0.0262)  loss_mask: 0.0001 (0.0401)  loss_objectness: 0.0011 (0.0098)  loss_rpn_box_reg: 0.0027 (0.0401)  time: 0.8533  data: 0.0023  max mem: 8505
Epoch: [0]  [ 720/2250]  eta: 0:22:09  lr: 0.003606  loss: 0.0266 (0.1612)  loss_classifier: 0.0171 (0.0464)  loss_box_reg: 0.0039 (0.0259)  loss_mask: 0.0001 (0.0396)  loss_objectness: 0.0009 (0.0097)  loss_rpn_box_reg: 0.0028 (0.0396)  time: 0.8533  data: 0.0031  max mem: 8505
Epoch: [0]  [ 730/2250]  eta: 0:22:00  lr: 0.003656  loss: 0.0251 (0.1593)  loss_classifier: 0.0174 (0.0460)  loss_box_reg: 0.0035 (0.0256)  loss_mask: 0.0001 (0.0390)  loss_objectness: 0.0009 (0.0096)  loss_rpn_box_reg: 0.0026 (0.0391)  time: 0.8525  data: 0.0031  max mem: 8505
Epoch: [0]  [ 740/2250]  eta: 0:21:51  lr: 0.003706  loss: 0.0257 (0.1575)  loss_classifier: 0.0176 (0.0457)  loss_box_reg: 0.0034 (0.0253)  loss_mask: 0.0001 (0.0385)  loss_objectness: 0.0012 (0.0095)  loss_rpn_box_reg: 0.0030 (0.0386)  time: 0.8533  data: 0.0018  max mem: 8505
Epoch: [0]  [ 750/2250]  eta: 0:21:43  lr: 0.003756  loss: 0.0265 (0.1558)  loss_classifier: 0.0176 (0.0453)  loss_box_reg: 0.0031 (0.0250)  loss_mask: 0.0001 (0.0380)  loss_objectness: 0.0013 (0.0094)  loss_rpn_box_reg: 0.0037 (0.0381)  time: 0.8718  data: 0.0020  max mem: 8505
Epoch: [0]  [ 760/2250]  eta: 0:21:35  lr: 0.003806  loss: 0.0251 (0.1541)  loss_classifier: 0.0172 (0.0449)  loss_box_reg: 0.0031 (0.0247)  loss_mask: 0.0001 (0.0375)  loss_objectness: 0.0013 (0.0093)  loss_rpn_box_reg: 0.0028 (0.0377)  time: 0.9044  data: 0.0017  max mem: 8505
Epoch: [0]  [ 770/2250]  eta: 0:21:27  lr: 0.003856  loss: 0.0235 (0.1524)  loss_classifier: 0.0172 (0.0446)  loss_box_reg: 0.0031 (0.0244)  loss_mask: 0.0001 (0.0370)  loss_objectness: 0.0010 (0.0092)  loss_rpn_box_reg: 0.0021 (0.0372)  time: 0.9202  data: 0.0023  max mem: 8505
Epoch: [0]  [ 780/2250]  eta: 0:21:19  lr: 0.003906  loss: 0.0234 (0.1507)  loss_classifier: 0.0167 (0.0442)  loss_box_reg: 0.0027 (0.0241)  loss_mask: 0.0001 (0.0366)  loss_objectness: 0.0011 (0.0091)  loss_rpn_box_reg: 0.0020 (0.0368)  time: 0.9149  data: 0.0028  max mem: 8505
Epoch: [0]  [ 790/2250]  eta: 0:21:11  lr: 0.003956  loss: 0.0234 (0.1491)  loss_classifier: 0.0167 (0.0439)  loss_box_reg: 0.0022 (0.0239)  loss_mask: 0.0001 (0.0361)  loss_objectness: 0.0012 (0.0090)  loss_rpn_box_reg: 0.0028 (0.0363)  time: 0.9038  data: 0.0024  max mem: 8505
Epoch: [0]  [ 800/2250]  eta: 0:21:03  lr: 0.004006  loss: 0.0229 (0.1475)  loss_classifier: 0.0171 (0.0435)  loss_box_reg: 0.0021 (0.0236)  loss_mask: 0.0001 (0.0356)  loss_objectness: 0.0011 (0.0089)  loss_rpn_box_reg: 0.0021 (0.0359)  time: 0.8991  data: 0.0030  max mem: 8505
Epoch: [0]  [ 810/2250]  eta: 0:20:54  lr: 0.004056  loss: 0.0230 (0.1460)  loss_classifier: 0.0176 (0.0432)  loss_box_reg: 0.0027 (0.0233)  loss_mask: 0.0001 (0.0352)  loss_objectness: 0.0008 (0.0088)  loss_rpn_box_reg: 0.0015 (0.0355)  time: 0.8836  data: 0.0020  max mem: 8505
Epoch: [0]  [ 820/2250]  eta: 0:20:45  lr: 0.004106  loss: 0.0244 (0.1446)  loss_classifier: 0.0178 (0.0429)  loss_box_reg: 0.0028 (0.0231)  loss_mask: 0.0001 (0.0348)  loss_objectness: 0.0016 (0.0087)  loss_rpn_box_reg: 0.0016 (0.0351)  time: 0.8641  data: 0.0014  max mem: 8505
Epoch: [0]  [ 830/2250]  eta: 0:20:37  lr: 0.004156  loss: 0.0243 (0.1432)  loss_classifier: 0.0173 (0.0426)  loss_box_reg: 0.0028 (0.0228)  loss_mask: 0.0001 (0.0345)  loss_objectness: 0.0015 (0.0086)  loss_rpn_box_reg: 0.0019 (0.0347)  time: 0.8682  data: 0.0017  max mem: 8505
Epoch: [0]  [ 840/2250]  eta: 0:20:28  lr: 0.004206  loss: 0.0228 (0.1418)  loss_classifier: 0.0164 (0.0423)  loss_box_reg: 0.0025 (0.0226)  loss_mask: 0.0002 (0.0341)  loss_objectness: 0.0008 (0.0085)  loss_rpn_box_reg: 0.0019 (0.0343)  time: 0.8728  data: 0.0027  max mem: 8505
Epoch: [0]  [ 850/2250]  eta: 0:20:19  lr: 0.004256  loss: 0.0216 (0.1404)  loss_classifier: 0.0163 (0.0420)  loss_box_reg: 0.0023 (0.0224)  loss_mask: 0.0002 (0.0337)  loss_objectness: 0.0005 (0.0084)  loss_rpn_box_reg: 0.0020 (0.0339)  time: 0.8623  data: 0.0029  max mem: 8505
Epoch: [0]  [ 860/2250]  eta: 0:20:10  lr: 0.004306  loss: 0.0216 (0.1390)  loss_classifier: 0.0163 (0.0417)  loss_box_reg: 0.0022 (0.0221)  loss_mask: 0.0002 (0.0333)  loss_objectness: 0.0008 (0.0083)  loss_rpn_box_reg: 0.0020 (0.0335)  time: 0.8530  data: 0.0021  max mem: 8505
Epoch: [0]  [ 870/2250]  eta: 0:20:01  lr: 0.004356  loss: 0.0215 (0.1377)  loss_classifier: 0.0150 (0.0414)  loss_box_reg: 0.0022 (0.0219)  loss_mask: 0.0001 (0.0329)  loss_objectness: 0.0009 (0.0083)  loss_rpn_box_reg: 0.0017 (0.0332)  time: 0.8532  data: 0.0016  max mem: 8505
Epoch: [0]  [ 880/2250]  eta: 0:19:52  lr: 0.004406  loss: 0.0232 (0.1364)  loss_classifier: 0.0158 (0.0411)  loss_box_reg: 0.0026 (0.0217)  loss_mask: 0.0001 (0.0325)  loss_objectness: 0.0010 (0.0082)  loss_rpn_box_reg: 0.0023 (0.0328)  time: 0.8548  data: 0.0031  max mem: 8505
Epoch: [0]  [ 890/2250]  eta: 0:19:43  lr: 0.004456  loss: 0.0231 (0.1351)  loss_classifier: 0.0161 (0.0408)  loss_box_reg: 0.0026 (0.0215)  loss_mask: 0.0001 (0.0322)  loss_objectness: 0.0010 (0.0081)  loss_rpn_box_reg: 0.0024 (0.0325)  time: 0.8546  data: 0.0023  max mem: 8505
Epoch: [0]  [ 900/2250]  eta: 0:19:34  lr: 0.004505  loss: 0.0223 (0.1339)  loss_classifier: 0.0161 (0.0406)  loss_box_reg: 0.0025 (0.0213)  loss_mask: 0.0001 (0.0318)  loss_objectness: 0.0008 (0.0080)  loss_rpn_box_reg: 0.0020 (0.0322)  time: 0.8546  data: 0.0026  max mem: 8505
Epoch: [0]  [ 910/2250]  eta: 0:19:26  lr: 0.004555  loss: 0.0219 (0.1326)  loss_classifier: 0.0158 (0.0403)  loss_box_reg: 0.0022 (0.0211)  loss_mask: 0.0001 (0.0315)  loss_objectness: 0.0007 (0.0080)  loss_rpn_box_reg: 0.0021 (0.0318)  time: 0.8720  data: 0.0037  max mem: 8505
Epoch: [0]  [ 920/2250]  eta: 0:19:17  lr: 0.004605  loss: 0.0200 (0.1314)  loss_classifier: 0.0153 (0.0401)  loss_box_reg: 0.0019 (0.0209)  loss_mask: 0.0001 (0.0312)  loss_objectness: 0.0006 (0.0079)  loss_rpn_box_reg: 0.0018 (0.0315)  time: 0.8757  data: 0.0019  max mem: 8505
Epoch: [0]  [ 930/2250]  eta: 0:19:08  lr: 0.004655  loss: 0.0203 (0.1303)  loss_classifier: 0.0155 (0.0398)  loss_box_reg: 0.0019 (0.0207)  loss_mask: 0.0001 (0.0308)  loss_objectness: 0.0007 (0.0078)  loss_rpn_box_reg: 0.0018 (0.0312)  time: 0.8641  data: 0.0008  max mem: 8505
Epoch: [0]  [ 940/2250]  eta: 0:18:59  lr: 0.004705  loss: 0.0203 (0.1291)  loss_classifier: 0.0155 (0.0395)  loss_box_reg: 0.0022 (0.0205)  loss_mask: 0.0001 (0.0305)  loss_objectness: 0.0008 (0.0077)  loss_rpn_box_reg: 0.0018 (0.0309)  time: 0.8663  data: 0.0013  max mem: 8505
Epoch: [0]  [ 950/2250]  eta: 0:18:51  lr: 0.004755  loss: 0.0198 (0.1280)  loss_classifier: 0.0152 (0.0393)  loss_box_reg: 0.0019 (0.0203)  loss_mask: 0.0001 (0.0302)  loss_objectness: 0.0010 (0.0077)  loss_rpn_box_reg: 0.0018 (0.0306)  time: 0.8639  data: 0.0038  max mem: 8505
Epoch: [0]  [ 960/2250]  eta: 0:18:42  lr: 0.004805  loss: 0.0197 (0.1268)  loss_classifier: 0.0150 (0.0390)  loss_box_reg: 0.0015 (0.0201)  loss_mask: 0.0001 (0.0299)  loss_objectness: 0.0009 (0.0076)  loss_rpn_box_reg: 0.0018 (0.0303)  time: 0.8620  data: 0.0038  max mem: 8505
Epoch: [0]  [ 970/2250]  eta: 0:18:33  lr: 0.004855  loss: 0.0200 (0.1257)  loss_classifier: 0.0155 (0.0388)  loss_box_reg: 0.0014 (0.0199)  loss_mask: 0.0001 (0.0296)  loss_objectness: 0.0008 (0.0075)  loss_rpn_box_reg: 0.0014 (0.0300)  time: 0.8627  data: 0.0033  max mem: 8505
Epoch: [0]  [ 980/2250]  eta: 0:18:24  lr: 0.004905  loss: 0.0200 (0.1247)  loss_classifier: 0.0154 (0.0386)  loss_box_reg: 0.0016 (0.0197)  loss_mask: 0.0001 (0.0293)  loss_objectness: 0.0007 (0.0075)  loss_rpn_box_reg: 0.0020 (0.0297)  time: 0.8698  data: 0.0022  max mem: 8505
Epoch: [0]  [ 990/2250]  eta: 0:18:16  lr: 0.004955  loss: 0.0196 (0.1236)  loss_classifier: 0.0146 (0.0383)  loss_box_reg: 0.0018 (0.0195)  loss_mask: 0.0001 (0.0290)  loss_objectness: 0.0007 (0.0074)  loss_rpn_box_reg: 0.0020 (0.0294)  time: 0.8666  data: 0.0018  max mem: 8505
Epoch: [0]  [1000/2250]  eta: 0:18:07  lr: 0.005000  loss: 0.0183 (0.1226)  loss_classifier: 0.0142 (0.0381)  loss_box_reg: 0.0016 (0.0193)  loss_mask: 0.0001 (0.0287)  loss_objectness: 0.0005 (0.0073)  loss_rpn_box_reg: 0.0014 (0.0291)  time: 0.8537  data: 0.0024  max mem: 8505
Epoch: [0]  [1010/2250]  eta: 0:17:58  lr: 0.005000  loss: 0.0186 (0.1215)  loss_classifier: 0.0149 (0.0379)  loss_box_reg: 0.0015 (0.0192)  loss_mask: 0.0001 (0.0284)  loss_objectness: 0.0005 (0.0073)  loss_rpn_box_reg: 0.0012 (0.0288)  time: 0.8532  data: 0.0028  max mem: 8505
Epoch: [0]  [1020/2250]  eta: 0:17:49  lr: 0.005000  loss: 0.0191 (0.1205)  loss_classifier: 0.0147 (0.0376)  loss_box_reg: 0.0014 (0.0190)  loss_mask: 0.0001 (0.0281)  loss_objectness: 0.0011 (0.0072)  loss_rpn_box_reg: 0.0012 (0.0286)  time: 0.8565  data: 0.0029  max mem: 8505
Epoch: [0]  [1030/2250]  eta: 0:17:40  lr: 0.005000  loss: 0.0203 (0.1196)  loss_classifier: 0.0147 (0.0374)  loss_box_reg: 0.0014 (0.0188)  loss_mask: 0.0001 (0.0279)  loss_objectness: 0.0008 (0.0072)  loss_rpn_box_reg: 0.0017 (0.0283)  time: 0.8558  data: 0.0015  max mem: 8505
Epoch: [0]  [1040/2250]  eta: 0:17:31  lr: 0.005000  loss: 0.0208 (0.1186)  loss_classifier: 0.0144 (0.0372)  loss_box_reg: 0.0019 (0.0187)  loss_mask: 0.0001 (0.0276)  loss_objectness: 0.0007 (0.0071)  loss_rpn_box_reg: 0.0021 (0.0281)  time: 0.8526  data: 0.0022  max mem: 8505
Epoch: [0]  [1050/2250]  eta: 0:17:22  lr: 0.005000  loss: 0.0200 (0.1177)  loss_classifier: 0.0144 (0.0370)  loss_box_reg: 0.0023 (0.0185)  loss_mask: 0.0001 (0.0273)  loss_objectness: 0.0007 (0.0070)  loss_rpn_box_reg: 0.0016 (0.0278)  time: 0.8525  data: 0.0019  max mem: 8505
Epoch: [0]  [1060/2250]  eta: 0:17:13  lr: 0.005000  loss: 0.0187 (0.1168)  loss_classifier: 0.0146 (0.0368)  loss_box_reg: 0.0022 (0.0184)  loss_mask: 0.0001 (0.0271)  loss_objectness: 0.0005 (0.0070)  loss_rpn_box_reg: 0.0014 (0.0276)  time: 0.8533  data: 0.0011  max mem: 8505
Epoch: [0]  [1070/2250]  eta: 0:17:04  lr: 0.005000  loss: 0.0187 (0.1159)  loss_classifier: 0.0149 (0.0366)  loss_box_reg: 0.0019 (0.0182)  loss_mask: 0.0001 (0.0268)  loss_objectness: 0.0005 (0.0069)  loss_rpn_box_reg: 0.0012 (0.0273)  time: 0.8534  data: 0.0014  max mem: 8505
Epoch: [0]  [1080/2250]  eta: 0:16:56  lr: 0.005000  loss: 0.0192 (0.1150)  loss_classifier: 0.0149 (0.0364)  loss_box_reg: 0.0017 (0.0180)  loss_mask: 0.0001 (0.0266)  loss_objectness: 0.0007 (0.0069)  loss_rpn_box_reg: 0.0012 (0.0271)  time: 0.8533  data: 0.0007  max mem: 8505
Epoch: [0]  [1090/2250]  eta: 0:16:47  lr: 0.005000  loss: 0.0185 (0.1141)  loss_classifier: 0.0148 (0.0362)  loss_box_reg: 0.0013 (0.0179)  loss_mask: 0.0001 (0.0263)  loss_objectness: 0.0006 (0.0068)  loss_rpn_box_reg: 0.0013 (0.0269)  time: 0.8532  data: 0.0027  max mem: 8505
Epoch: [0]  [1100/2250]  eta: 0:16:38  lr: 0.005000  loss: 0.0180 (0.1132)  loss_classifier: 0.0153 (0.0360)  loss_box_reg: 0.0012 (0.0177)  loss_mask: 0.0000 (0.0261)  loss_objectness: 0.0004 (0.0067)  loss_rpn_box_reg: 0.0011 (0.0266)  time: 0.8532  data: 0.0039  max mem: 8505
Epoch: [0]  [1110/2250]  eta: 0:16:29  lr: 0.005000  loss: 0.0183 (0.1124)  loss_classifier: 0.0143 (0.0358)  loss_box_reg: 0.0013 (0.0176)  loss_mask: 0.0000 (0.0259)  loss_objectness: 0.0009 (0.0067)  loss_rpn_box_reg: 0.0010 (0.0264)  time: 0.8533  data: 0.0035  max mem: 8505
Epoch: [0]  [1120/2250]  eta: 0:16:20  lr: 0.005000  loss: 0.0187 (0.1115)  loss_classifier: 0.0148 (0.0356)  loss_box_reg: 0.0015 (0.0175)  loss_mask: 0.0000 (0.0256)  loss_objectness: 0.0009 (0.0066)  loss_rpn_box_reg: 0.0010 (0.0262)  time: 0.8533  data: 0.0039  max mem: 8505
Epoch: [0]  [1130/2250]  eta: 0:16:11  lr: 0.005000  loss: 0.0195 (0.1107)  loss_classifier: 0.0155 (0.0355)  loss_box_reg: 0.0017 (0.0173)  loss_mask: 0.0000 (0.0254)  loss_objectness: 0.0006 (0.0066)  loss_rpn_box_reg: 0.0012 (0.0259)  time: 0.8525  data: 0.0036  max mem: 8505
Epoch: [0]  [1140/2250]  eta: 0:16:03  lr: 0.005000  loss: 0.0201 (0.1099)  loss_classifier: 0.0158 (0.0353)  loss_box_reg: 0.0018 (0.0172)  loss_mask: 0.0000 (0.0252)  loss_objectness: 0.0007 (0.0065)  loss_rpn_box_reg: 0.0014 (0.0257)  time: 0.8540  data: 0.0042  max mem: 8505
Epoch: [0]  [1150/2250]  eta: 0:15:54  lr: 0.005000  loss: 0.0201 (0.1091)  loss_classifier: 0.0152 (0.0351)  loss_box_reg: 0.0015 (0.0170)  loss_mask: 0.0000 (0.0250)  loss_objectness: 0.0008 (0.0065)  loss_rpn_box_reg: 0.0015 (0.0255)  time: 0.8548  data: 0.0032  max mem: 8505
Epoch: [0]  [1160/2250]  eta: 0:15:45  lr: 0.005000  loss: 0.0182 (0.1084)  loss_classifier: 0.0147 (0.0349)  loss_box_reg: 0.0013 (0.0169)  loss_mask: 0.0000 (0.0247)  loss_objectness: 0.0006 (0.0064)  loss_rpn_box_reg: 0.0011 (0.0253)  time: 0.8533  data: 0.0026  max mem: 8505
Epoch: [0]  [1170/2250]  eta: 0:15:36  lr: 0.005000  loss: 0.0200 (0.1076)  loss_classifier: 0.0163 (0.0348)  loss_box_reg: 0.0014 (0.0168)  loss_mask: 0.0000 (0.0245)  loss_objectness: 0.0005 (0.0064)  loss_rpn_box_reg: 0.0015 (0.0251)  time: 0.8534  data: 0.0031  max mem: 8505
Epoch: [0]  [1180/2250]  eta: 0:15:27  lr: 0.005000  loss: 0.0212 (0.1069)  loss_classifier: 0.0161 (0.0346)  loss_box_reg: 0.0017 (0.0167)  loss_mask: 0.0000 (0.0243)  loss_objectness: 0.0006 (0.0064)  loss_rpn_box_reg: 0.0017 (0.0249)  time: 0.8535  data: 0.0023  max mem: 8505
Epoch: [0]  [1190/2250]  eta: 0:15:19  lr: 0.005000  loss: 0.0202 (0.1061)  loss_classifier: 0.0158 (0.0345)  loss_box_reg: 0.0016 (0.0165)  loss_mask: 0.0000 (0.0241)  loss_objectness: 0.0008 (0.0063)  loss_rpn_box_reg: 0.0014 (0.0247)  time: 0.8535  data: 0.0016  max mem: 8505
Epoch: [0]  [1200/2250]  eta: 0:15:10  lr: 0.005000  loss: 0.0192 (0.1054)  loss_classifier: 0.0154 (0.0343)  loss_box_reg: 0.0013 (0.0164)  loss_mask: 0.0000 (0.0239)  loss_objectness: 0.0007 (0.0063)  loss_rpn_box_reg: 0.0011 (0.0245)  time: 0.8533  data: 0.0010  max mem: 8505
Epoch: [0]  [1210/2250]  eta: 0:15:01  lr: 0.005000  loss: 0.0187 (0.1047)  loss_classifier: 0.0152 (0.0342)  loss_box_reg: 0.0014 (0.0163)  loss_mask: 0.0000 (0.0237)  loss_objectness: 0.0008 (0.0062)  loss_rpn_box_reg: 0.0008 (0.0243)  time: 0.8533  data: 0.0026  max mem: 8505
Epoch: [0]  [1220/2250]  eta: 0:14:52  lr: 0.005000  loss: 0.0194 (0.1040)  loss_classifier: 0.0154 (0.0340)  loss_box_reg: 0.0019 (0.0162)  loss_mask: 0.0000 (0.0235)  loss_objectness: 0.0005 (0.0062)  loss_rpn_box_reg: 0.0008 (0.0241)  time: 0.8538  data: 0.0024  max mem: 8505
Epoch: [0]  [1230/2250]  eta: 0:14:44  lr: 0.005000  loss: 0.0199 (0.1033)  loss_classifier: 0.0158 (0.0339)  loss_box_reg: 0.0023 (0.0160)  loss_mask: 0.0000 (0.0234)  loss_objectness: 0.0005 (0.0061)  loss_rpn_box_reg: 0.0008 (0.0240)  time: 0.8541  data: 0.0009  max mem: 8505
Epoch: [0]  [1240/2250]  eta: 0:14:35  lr: 0.005000  loss: 0.0201 (0.1027)  loss_classifier: 0.0161 (0.0337)  loss_box_reg: 0.0016 (0.0159)  loss_mask: 0.0000 (0.0232)  loss_objectness: 0.0006 (0.0061)  loss_rpn_box_reg: 0.0009 (0.0238)  time: 0.8545  data: 0.0026  max mem: 8505
Epoch: [0]  [1250/2250]  eta: 0:14:26  lr: 0.005000  loss: 0.0202 (0.1020)  loss_classifier: 0.0161 (0.0336)  loss_box_reg: 0.0015 (0.0158)  loss_mask: 0.0000 (0.0230)  loss_objectness: 0.0006 (0.0060)  loss_rpn_box_reg: 0.0012 (0.0236)  time: 0.8541  data: 0.0026  max mem: 8505
Epoch: [0]  [1260/2250]  eta: 0:14:17  lr: 0.005000  loss: 0.0197 (0.1014)  loss_classifier: 0.0159 (0.0335)  loss_box_reg: 0.0017 (0.0157)  loss_mask: 0.0000 (0.0228)  loss_objectness: 0.0008 (0.0060)  loss_rpn_box_reg: 0.0010 (0.0234)  time: 0.8542  data: 0.0022  max mem: 8505
Epoch: [0]  [1270/2250]  eta: 0:14:08  lr: 0.005000  loss: 0.0192 (0.1007)  loss_classifier: 0.0162 (0.0333)  loss_box_reg: 0.0017 (0.0156)  loss_mask: 0.0000 (0.0226)  loss_objectness: 0.0005 (0.0060)  loss_rpn_box_reg: 0.0010 (0.0232)  time: 0.8549  data: 0.0022  max mem: 8505
Epoch: [0]  [1280/2250]  eta: 0:14:00  lr: 0.005000  loss: 0.0186 (0.1001)  loss_classifier: 0.0155 (0.0332)  loss_box_reg: 0.0014 (0.0155)  loss_mask: 0.0000 (0.0225)  loss_objectness: 0.0004 (0.0059)  loss_rpn_box_reg: 0.0010 (0.0231)  time: 0.8541  data: 0.0011  max mem: 8505
Epoch: [0]  [1290/2250]  eta: 0:13:51  lr: 0.005000  loss: 0.0182 (0.0994)  loss_classifier: 0.0155 (0.0330)  loss_box_reg: 0.0013 (0.0154)  loss_mask: 0.0000 (0.0223)  loss_objectness: 0.0003 (0.0059)  loss_rpn_box_reg: 0.0007 (0.0229)  time: 0.8541  data: 0.0027  max mem: 8505
Epoch: [0]  [1300/2250]  eta: 0:13:42  lr: 0.005000  loss: 0.0185 (0.0989)  loss_classifier: 0.0159 (0.0329)  loss_box_reg: 0.0013 (0.0153)  loss_mask: 0.0000 (0.0222)  loss_objectness: 0.0004 (0.0058)  loss_rpn_box_reg: 0.0007 (0.0227)  time: 0.8541  data: 0.0031  max mem: 8505
Epoch: [0]  [1310/2250]  eta: 0:13:33  lr: 0.005000  loss: 0.0204 (0.0983)  loss_classifier: 0.0159 (0.0328)  loss_box_reg: 0.0016 (0.0152)  loss_mask: 0.0000 (0.0220)  loss_objectness: 0.0009 (0.0058)  loss_rpn_box_reg: 0.0012 (0.0226)  time: 0.8542  data: 0.0031  max mem: 8505
Epoch: [0]  [1320/2250]  eta: 0:13:25  lr: 0.005000  loss: 0.0202 (0.0977)  loss_classifier: 0.0155 (0.0327)  loss_box_reg: 0.0017 (0.0151)  loss_mask: 0.0001 (0.0218)  loss_objectness: 0.0005 (0.0058)  loss_rpn_box_reg: 0.0014 (0.0224)  time: 0.8541  data: 0.0027  max mem: 8505
Epoch: [0]  [1330/2250]  eta: 0:13:16  lr: 0.005000  loss: 0.0187 (0.0971)  loss_classifier: 0.0148 (0.0325)  loss_box_reg: 0.0014 (0.0150)  loss_mask: 0.0001 (0.0217)  loss_objectness: 0.0004 (0.0057)  loss_rpn_box_reg: 0.0016 (0.0222)  time: 0.8549  data: 0.0015  max mem: 8505
Epoch: [0]  [1340/2250]  eta: 0:13:07  lr: 0.005000  loss: 0.0183 (0.0965)  loss_classifier: 0.0140 (0.0324)  loss_box_reg: 0.0014 (0.0149)  loss_mask: 0.0001 (0.0215)  loss_objectness: 0.0004 (0.0057)  loss_rpn_box_reg: 0.0013 (0.0221)  time: 0.8549  data: 0.0027  max mem: 8505
Epoch: [0]  [1350/2250]  eta: 0:12:59  lr: 0.005000  loss: 0.0183 (0.0959)  loss_classifier: 0.0150 (0.0323)  loss_box_reg: 0.0013 (0.0148)  loss_mask: 0.0001 (0.0213)  loss_objectness: 0.0003 (0.0056)  loss_rpn_box_reg: 0.0013 (0.0219)  time: 0.8541  data: 0.0027  max mem: 8505
Epoch: [0]  [1360/2250]  eta: 0:12:50  lr: 0.005000  loss: 0.0188 (0.0954)  loss_classifier: 0.0158 (0.0322)  loss_box_reg: 0.0010 (0.0147)  loss_mask: 0.0001 (0.0212)  loss_objectness: 0.0004 (0.0056)  loss_rpn_box_reg: 0.0012 (0.0218)  time: 0.8542  data: 0.0011  max mem: 8505
Epoch: [0]  [1370/2250]  eta: 0:12:41  lr: 0.005000  loss: 0.0176 (0.0948)  loss_classifier: 0.0145 (0.0320)  loss_box_reg: 0.0011 (0.0146)  loss_mask: 0.0001 (0.0210)  loss_objectness: 0.0006 (0.0056)  loss_rpn_box_reg: 0.0010 (0.0216)  time: 0.8539  data: 0.0008  max mem: 8505
Epoch: [0]  [1380/2250]  eta: 0:12:32  lr: 0.005000  loss: 0.0163 (0.0943)  loss_classifier: 0.0136 (0.0319)  loss_box_reg: 0.0013 (0.0145)  loss_mask: 0.0001 (0.0209)  loss_objectness: 0.0004 (0.0055)  loss_rpn_box_reg: 0.0008 (0.0215)  time: 0.8542  data: 0.0027  max mem: 8505
Epoch: [0]  [1390/2250]  eta: 0:12:24  lr: 0.005000  loss: 0.0161 (0.0937)  loss_classifier: 0.0137 (0.0318)  loss_box_reg: 0.0011 (0.0144)  loss_mask: 0.0001 (0.0207)  loss_objectness: 0.0003 (0.0055)  loss_rpn_box_reg: 0.0008 (0.0213)  time: 0.8585  data: 0.0027  max mem: 8505
Epoch: [0]  [1400/2250]  eta: 0:12:15  lr: 0.005000  loss: 0.0167 (0.0932)  loss_classifier: 0.0143 (0.0317)  loss_box_reg: 0.0010 (0.0143)  loss_mask: 0.0001 (0.0206)  loss_objectness: 0.0003 (0.0055)  loss_rpn_box_reg: 0.0007 (0.0212)  time: 0.8626  data: 0.0020  max mem: 8505
Epoch: [0]  [1410/2250]  eta: 0:12:06  lr: 0.005000  loss: 0.0169 (0.0926)  loss_classifier: 0.0145 (0.0315)  loss_box_reg: 0.0010 (0.0142)  loss_mask: 0.0001 (0.0204)  loss_objectness: 0.0004 (0.0054)  loss_rpn_box_reg: 0.0007 (0.0210)  time: 0.8579  data: 0.0037  max mem: 8505
Epoch: [0]  [1420/2250]  eta: 0:11:58  lr: 0.005000  loss: 0.0180 (0.0921)  loss_classifier: 0.0150 (0.0314)  loss_box_reg: 0.0012 (0.0141)  loss_mask: 0.0001 (0.0203)  loss_objectness: 0.0004 (0.0054)  loss_rpn_box_reg: 0.0007 (0.0209)  time: 0.8632  data: 0.0033  max mem: 8505
Epoch: [0]  [1430/2250]  eta: 0:11:49  lr: 0.005000  loss: 0.0182 (0.0916)  loss_classifier: 0.0152 (0.0313)  loss_box_reg: 0.0013 (0.0140)  loss_mask: 0.0001 (0.0202)  loss_objectness: 0.0006 (0.0054)  loss_rpn_box_reg: 0.0007 (0.0208)  time: 0.8645  data: 0.0016  max mem: 8505
Epoch: [0]  [1440/2250]  eta: 0:11:40  lr: 0.005000  loss: 0.0188 (0.0911)  loss_classifier: 0.0152 (0.0312)  loss_box_reg: 0.0020 (0.0139)  loss_mask: 0.0000 (0.0200)  loss_objectness: 0.0005 (0.0053)  loss_rpn_box_reg: 0.0007 (0.0206)  time: 0.8545  data: 0.0012  max mem: 8505
Epoch: [0]  [1450/2250]  eta: 0:11:32  lr: 0.005000  loss: 0.0200 (0.0906)  loss_classifier: 0.0163 (0.0311)  loss_box_reg: 0.0021 (0.0138)  loss_mask: 0.0000 (0.0199)  loss_objectness: 0.0005 (0.0053)  loss_rpn_box_reg: 0.0008 (0.0205)  time: 0.8534  data: 0.0012  max mem: 8505
Epoch: [0]  [1460/2250]  eta: 0:11:23  lr: 0.005000  loss: 0.0207 (0.0902)  loss_classifier: 0.0164 (0.0310)  loss_box_reg: 0.0021 (0.0138)  loss_mask: 0.0000 (0.0197)  loss_objectness: 0.0005 (0.0053)  loss_rpn_box_reg: 0.0012 (0.0204)  time: 0.8545  data: 0.0039  max mem: 8505
Epoch: [0]  [1470/2250]  eta: 0:11:14  lr: 0.005000  loss: 0.0201 (0.0897)  loss_classifier: 0.0160 (0.0309)  loss_box_reg: 0.0021 (0.0137)  loss_mask: 0.0000 (0.0196)  loss_objectness: 0.0004 (0.0052)  loss_rpn_box_reg: 0.0016 (0.0202)  time: 0.8540  data: 0.0031  max mem: 8505
Epoch: [0]  [1480/2250]  eta: 0:11:05  lr: 0.005000  loss: 0.0189 (0.0892)  loss_classifier: 0.0151 (0.0308)  loss_box_reg: 0.0014 (0.0136)  loss_mask: 0.0000 (0.0195)  loss_objectness: 0.0003 (0.0052)  loss_rpn_box_reg: 0.0013 (0.0201)  time: 0.8534  data: 0.0016  max mem: 8505
Epoch: [0]  [1490/2250]  eta: 0:10:57  lr: 0.005000  loss: 0.0185 (0.0887)  loss_classifier: 0.0150 (0.0307)  loss_box_reg: 0.0013 (0.0135)  loss_mask: 0.0001 (0.0194)  loss_objectness: 0.0003 (0.0052)  loss_rpn_box_reg: 0.0010 (0.0200)  time: 0.8652  data: 0.0029  max mem: 8505
Epoch: [0]  [1500/2250]  eta: 0:10:48  lr: 0.005000  loss: 0.0183 (0.0883)  loss_classifier: 0.0152 (0.0306)  loss_box_reg: 0.0011 (0.0134)  loss_mask: 0.0001 (0.0192)  loss_objectness: 0.0005 (0.0051)  loss_rpn_box_reg: 0.0006 (0.0198)  time: 0.8741  data: 0.0025  max mem: 8505
Epoch: [0]  [1510/2250]  eta: 0:10:40  lr: 0.005000  loss: 0.0183 (0.0878)  loss_classifier: 0.0152 (0.0305)  loss_box_reg: 0.0010 (0.0134)  loss_mask: 0.0001 (0.0191)  loss_objectness: 0.0004 (0.0051)  loss_rpn_box_reg: 0.0006 (0.0197)  time: 0.8719  data: 0.0025  max mem: 8505
Epoch: [0]  [1520/2250]  eta: 0:10:31  lr: 0.005000  loss: 0.0179 (0.0873)  loss_classifier: 0.0152 (0.0304)  loss_box_reg: 0.0012 (0.0133)  loss_mask: 0.0001 (0.0190)  loss_objectness: 0.0003 (0.0051)  loss_rpn_box_reg: 0.0006 (0.0196)  time: 0.8681  data: 0.0014  max mem: 8505
Epoch: [0]  [1530/2250]  eta: 0:10:22  lr: 0.005000  loss: 0.0172 (0.0869)  loss_classifier: 0.0148 (0.0303)  loss_box_reg: 0.0013 (0.0132)  loss_mask: 0.0000 (0.0188)  loss_objectness: 0.0002 (0.0050)  loss_rpn_box_reg: 0.0007 (0.0195)  time: 0.8614  data: 0.0008  max mem: 8505
Epoch: [0]  [1540/2250]  eta: 0:10:14  lr: 0.005000  loss: 0.0171 (0.0864)  loss_classifier: 0.0145 (0.0302)  loss_box_reg: 0.0014 (0.0131)  loss_mask: 0.0000 (0.0187)  loss_objectness: 0.0003 (0.0050)  loss_rpn_box_reg: 0.0008 (0.0193)  time: 0.8598  data: 0.0008  max mem: 8505
Epoch: [0]  [1550/2250]  eta: 0:10:05  lr: 0.005000  loss: 0.0171 (0.0860)  loss_classifier: 0.0145 (0.0301)  loss_box_reg: 0.0013 (0.0130)  loss_mask: 0.0000 (0.0186)  loss_objectness: 0.0003 (0.0050)  loss_rpn_box_reg: 0.0008 (0.0192)  time: 0.8602  data: 0.0011  max mem: 8505
Epoch: [0]  [1560/2250]  eta: 0:09:56  lr: 0.005000  loss: 0.0168 (0.0856)  loss_classifier: 0.0146 (0.0300)  loss_box_reg: 0.0011 (0.0130)  loss_mask: 0.0000 (0.0185)  loss_objectness: 0.0002 (0.0050)  loss_rpn_box_reg: 0.0006 (0.0191)  time: 0.8602  data: 0.0024  max mem: 8505
Epoch: [0]  [1570/2250]  eta: 0:09:48  lr: 0.005000  loss: 0.0167 (0.0851)  loss_classifier: 0.0151 (0.0299)  loss_box_reg: 0.0011 (0.0129)  loss_mask: 0.0000 (0.0184)  loss_objectness: 0.0002 (0.0049)  loss_rpn_box_reg: 0.0005 (0.0190)  time: 0.8622  data: 0.0024  max mem: 8505
Epoch: [0]  [1580/2250]  eta: 0:09:39  lr: 0.005000  loss: 0.0173 (0.0847)  loss_classifier: 0.0147 (0.0299)  loss_box_reg: 0.0013 (0.0128)  loss_mask: 0.0000 (0.0183)  loss_objectness: 0.0002 (0.0049)  loss_rpn_box_reg: 0.0005 (0.0189)  time: 0.8643  data: 0.0029  max mem: 8505
Epoch: [0]  [1590/2250]  eta: 0:09:30  lr: 0.005000  loss: 0.0179 (0.0843)  loss_classifier: 0.0150 (0.0298)  loss_box_reg: 0.0011 (0.0127)  loss_mask: 0.0000 (0.0181)  loss_objectness: 0.0003 (0.0049)  loss_rpn_box_reg: 0.0008 (0.0188)  time: 0.8644  data: 0.0028  max mem: 8505
Epoch: [0]  [1600/2250]  eta: 0:09:22  lr: 0.005000  loss: 0.0188 (0.0839)  loss_classifier: 0.0163 (0.0297)  loss_box_reg: 0.0011 (0.0127)  loss_mask: 0.0000 (0.0180)  loss_objectness: 0.0004 (0.0048)  loss_rpn_box_reg: 0.0007 (0.0186)  time: 0.8654  data: 0.0012  max mem: 8505
Epoch: [0]  [1610/2250]  eta: 0:09:13  lr: 0.005000  loss: 0.0189 (0.0835)  loss_classifier: 0.0170 (0.0296)  loss_box_reg: 0.0011 (0.0126)  loss_mask: 0.0000 (0.0179)  loss_objectness: 0.0004 (0.0048)  loss_rpn_box_reg: 0.0007 (0.0185)  time: 0.8650  data: 0.0003  max mem: 8505
Epoch: [0]  [1620/2250]  eta: 0:09:04  lr: 0.005000  loss: 0.0194 (0.0831)  loss_classifier: 0.0170 (0.0295)  loss_box_reg: 0.0011 (0.0125)  loss_mask: 0.0000 (0.0178)  loss_objectness: 0.0003 (0.0048)  loss_rpn_box_reg: 0.0006 (0.0184)  time: 0.8625  data: 0.0000  max mem: 8505
Epoch: [0]  [1630/2250]  eta: 0:08:56  lr: 0.005000  loss: 0.0194 (0.0827)  loss_classifier: 0.0169 (0.0294)  loss_box_reg: 0.0014 (0.0125)  loss_mask: 0.0000 (0.0177)  loss_objectness: 0.0002 (0.0048)  loss_rpn_box_reg: 0.0006 (0.0183)  time: 0.8627  data: 0.0016  max mem: 8505
Epoch: [0]  [1640/2250]  eta: 0:08:47  lr: 0.005000  loss: 0.0184 (0.0823)  loss_classifier: 0.0155 (0.0294)  loss_box_reg: 0.0014 (0.0124)  loss_mask: 0.0000 (0.0176)  loss_objectness: 0.0003 (0.0047)  loss_rpn_box_reg: 0.0008 (0.0182)  time: 0.8610  data: 0.0032  max mem: 8505
Epoch: [0]  [1650/2250]  eta: 0:08:38  lr: 0.005000  loss: 0.0175 (0.0819)  loss_classifier: 0.0154 (0.0293)  loss_box_reg: 0.0011 (0.0123)  loss_mask: 0.0000 (0.0175)  loss_objectness: 0.0003 (0.0047)  loss_rpn_box_reg: 0.0007 (0.0181)  time: 0.8620  data: 0.0039  max mem: 8505
Epoch: [0]  [1660/2250]  eta: 0:08:30  lr: 0.005000  loss: 0.0172 (0.0815)  loss_classifier: 0.0153 (0.0292)  loss_box_reg: 0.0010 (0.0123)  loss_mask: 0.0000 (0.0174)  loss_objectness: 0.0003 (0.0047)  loss_rpn_box_reg: 0.0006 (0.0180)  time: 0.8641  data: 0.0028  max mem: 8505
Epoch: [0]  [1670/2250]  eta: 0:08:21  lr: 0.005000  loss: 0.0184 (0.0811)  loss_classifier: 0.0162 (0.0291)  loss_box_reg: 0.0009 (0.0122)  loss_mask: 0.0000 (0.0173)  loss_objectness: 0.0003 (0.0047)  loss_rpn_box_reg: 0.0006 (0.0179)  time: 0.8627  data: 0.0013  max mem: 8505
Epoch: [0]  [1680/2250]  eta: 0:08:12  lr: 0.005000  loss: 0.0184 (0.0808)  loss_classifier: 0.0157 (0.0290)  loss_box_reg: 0.0009 (0.0121)  loss_mask: 0.0000 (0.0172)  loss_objectness: 0.0003 (0.0046)  loss_rpn_box_reg: 0.0007 (0.0178)  time: 0.8625  data: 0.0008  max mem: 8505
Epoch: [0]  [1690/2250]  eta: 0:08:04  lr: 0.005000  loss: 0.0176 (0.0804)  loss_classifier: 0.0150 (0.0290)  loss_box_reg: 0.0011 (0.0121)  loss_mask: 0.0000 (0.0171)  loss_objectness: 0.0003 (0.0046)  loss_rpn_box_reg: 0.0009 (0.0177)  time: 0.8617  data: 0.0012  max mem: 8505
Epoch: [0]  [1700/2250]  eta: 0:07:55  lr: 0.005000  loss: 0.0176 (0.0800)  loss_classifier: 0.0150 (0.0289)  loss_box_reg: 0.0013 (0.0120)  loss_mask: 0.0000 (0.0170)  loss_objectness: 0.0003 (0.0046)  loss_rpn_box_reg: 0.0009 (0.0176)  time: 0.8617  data: 0.0027  max mem: 8505
Epoch: [0]  [1710/2250]  eta: 0:07:46  lr: 0.005000  loss: 0.0193 (0.0797)  loss_classifier: 0.0163 (0.0288)  loss_box_reg: 0.0012 (0.0119)  loss_mask: 0.0000 (0.0169)  loss_objectness: 0.0003 (0.0046)  loss_rpn_box_reg: 0.0009 (0.0175)  time: 0.8617  data: 0.0015  max mem: 8505
Epoch: [0]  [1720/2250]  eta: 0:07:38  lr: 0.005000  loss: 0.0185 (0.0793)  loss_classifier: 0.0160 (0.0287)  loss_box_reg: 0.0011 (0.0119)  loss_mask: 0.0000 (0.0168)  loss_objectness: 0.0003 (0.0045)  loss_rpn_box_reg: 0.0006 (0.0174)  time: 0.8625  data: 0.0013  max mem: 8505
Epoch: [0]  [1730/2250]  eta: 0:07:29  lr: 0.005000  loss: 0.0178 (0.0790)  loss_classifier: 0.0152 (0.0287)  loss_box_reg: 0.0011 (0.0118)  loss_mask: 0.0000 (0.0167)  loss_objectness: 0.0003 (0.0045)  loss_rpn_box_reg: 0.0005 (0.0173)  time: 0.8640  data: 0.0041  max mem: 8505
Epoch: [0]  [1740/2250]  eta: 0:07:20  lr: 0.005000  loss: 0.0178 (0.0786)  loss_classifier: 0.0152 (0.0286)  loss_box_reg: 0.0010 (0.0117)  loss_mask: 0.0000 (0.0166)  loss_objectness: 0.0005 (0.0045)  loss_rpn_box_reg: 0.0004 (0.0172)  time: 0.8633  data: 0.0035  max mem: 8505
Epoch: [0]  [1750/2250]  eta: 0:07:12  lr: 0.005000  loss: 0.0180 (0.0783)  loss_classifier: 0.0167 (0.0285)  loss_box_reg: 0.0008 (0.0117)  loss_mask: 0.0000 (0.0165)  loss_objectness: 0.0003 (0.0045)  loss_rpn_box_reg: 0.0005 (0.0171)  time: 0.8625  data: 0.0022  max mem: 8505
Epoch: [0]  [1760/2250]  eta: 0:07:03  lr: 0.005000  loss: 0.0170 (0.0779)  loss_classifier: 0.0153 (0.0285)  loss_box_reg: 0.0008 (0.0116)  loss_mask: 0.0000 (0.0164)  loss_objectness: 0.0003 (0.0044)  loss_rpn_box_reg: 0.0007 (0.0170)  time: 0.8625  data: 0.0019  max mem: 8505
Epoch: [0]  [1770/2250]  eta: 0:06:55  lr: 0.005000  loss: 0.0169 (0.0776)  loss_classifier: 0.0148 (0.0284)  loss_box_reg: 0.0011 (0.0116)  loss_mask: 0.0000 (0.0163)  loss_objectness: 0.0004 (0.0044)  loss_rpn_box_reg: 0.0007 (0.0169)  time: 0.8611  data: 0.0012  max mem: 8505
Epoch: [0]  [1780/2250]  eta: 0:06:46  lr: 0.005000  loss: 0.0179 (0.0773)  loss_classifier: 0.0142 (0.0283)  loss_box_reg: 0.0012 (0.0115)  loss_mask: 0.0000 (0.0162)  loss_objectness: 0.0003 (0.0044)  loss_rpn_box_reg: 0.0007 (0.0168)  time: 0.8611  data: 0.0021  max mem: 8505
Epoch: [0]  [1790/2250]  eta: 0:06:37  lr: 0.005000  loss: 0.0181 (0.0769)  loss_classifier: 0.0160 (0.0282)  loss_box_reg: 0.0013 (0.0115)  loss_mask: 0.0000 (0.0161)  loss_objectness: 0.0002 (0.0044)  loss_rpn_box_reg: 0.0005 (0.0167)  time: 0.8637  data: 0.0021  max mem: 8505
Epoch: [0]  [1800/2250]  eta: 0:06:29  lr: 0.005000  loss: 0.0177 (0.0766)  loss_classifier: 0.0157 (0.0282)  loss_box_reg: 0.0010 (0.0114)  loss_mask: 0.0000 (0.0160)  loss_objectness: 0.0003 (0.0044)  loss_rpn_box_reg: 0.0005 (0.0167)  time: 0.8638  data: 0.0028  max mem: 8505
Epoch: [0]  [1810/2250]  eta: 0:06:20  lr: 0.005000  loss: 0.0168 (0.0763)  loss_classifier: 0.0142 (0.0281)  loss_box_reg: 0.0008 (0.0113)  loss_mask: 0.0000 (0.0160)  loss_objectness: 0.0003 (0.0043)  loss_rpn_box_reg: 0.0004 (0.0166)  time: 0.8629  data: 0.0036  max mem: 8505
Epoch: [0]  [1820/2250]  eta: 0:06:11  lr: 0.005000  loss: 0.0166 (0.0760)  loss_classifier: 0.0143 (0.0280)  loss_box_reg: 0.0008 (0.0113)  loss_mask: 0.0000 (0.0159)  loss_objectness: 0.0003 (0.0043)  loss_rpn_box_reg: 0.0004 (0.0165)  time: 0.8632  data: 0.0031  max mem: 8505
Epoch: [0]  [1830/2250]  eta: 0:06:03  lr: 0.005000  loss: 0.0177 (0.0756)  loss_classifier: 0.0156 (0.0280)  loss_box_reg: 0.0010 (0.0112)  loss_mask: 0.0000 (0.0158)  loss_objectness: 0.0003 (0.0043)  loss_rpn_box_reg: 0.0005 (0.0164)  time: 0.8627  data: 0.0016  max mem: 8505
Epoch: [0]  [1840/2250]  eta: 0:05:54  lr: 0.005000  loss: 0.0170 (0.0753)  loss_classifier: 0.0150 (0.0279)  loss_box_reg: 0.0010 (0.0112)  loss_mask: 0.0000 (0.0157)  loss_objectness: 0.0003 (0.0043)  loss_rpn_box_reg: 0.0006 (0.0163)  time: 0.8621  data: 0.0008  max mem: 8505
Epoch: [0]  [1850/2250]  eta: 0:05:45  lr: 0.005000  loss: 0.0175 (0.0750)  loss_classifier: 0.0152 (0.0278)  loss_box_reg: 0.0009 (0.0111)  loss_mask: 0.0000 (0.0156)  loss_objectness: 0.0003 (0.0042)  loss_rpn_box_reg: 0.0008 (0.0162)  time: 0.8631  data: 0.0023  max mem: 8505
Epoch: [0]  [1860/2250]  eta: 0:05:37  lr: 0.005000  loss: 0.0176 (0.0747)  loss_classifier: 0.0148 (0.0277)  loss_box_reg: 0.0009 (0.0111)  loss_mask: 0.0000 (0.0155)  loss_objectness: 0.0003 (0.0042)  loss_rpn_box_reg: 0.0006 (0.0161)  time: 0.8625  data: 0.0022  max mem: 8505
Epoch: [0]  [1870/2250]  eta: 0:05:28  lr: 0.005000  loss: 0.0161 (0.0744)  loss_classifier: 0.0142 (0.0277)  loss_box_reg: 0.0010 (0.0110)  loss_mask: 0.0000 (0.0154)  loss_objectness: 0.0002 (0.0042)  loss_rpn_box_reg: 0.0006 (0.0161)  time: 0.8625  data: 0.0026  max mem: 8505
Epoch: [0]  [1880/2250]  eta: 0:05:19  lr: 0.005000  loss: 0.0173 (0.0741)  loss_classifier: 0.0156 (0.0276)  loss_box_reg: 0.0010 (0.0110)  loss_mask: 0.0000 (0.0154)  loss_objectness: 0.0002 (0.0042)  loss_rpn_box_reg: 0.0005 (0.0160)  time: 0.8656  data: 0.0034  max mem: 8505
Epoch: [0]  [1890/2250]  eta: 0:05:11  lr: 0.005000  loss: 0.0175 (0.0738)  loss_classifier: 0.0148 (0.0276)  loss_box_reg: 0.0012 (0.0109)  loss_mask: 0.0000 (0.0153)  loss_objectness: 0.0002 (0.0042)  loss_rpn_box_reg: 0.0006 (0.0159)  time: 0.8648  data: 0.0039  max mem: 8505
Epoch: [0]  [1900/2250]  eta: 0:05:02  lr: 0.005000  loss: 0.0175 (0.0735)  loss_classifier: 0.0147 (0.0275)  loss_box_reg: 0.0012 (0.0108)  loss_mask: 0.0000 (0.0152)  loss_objectness: 0.0003 (0.0041)  loss_rpn_box_reg: 0.0008 (0.0158)  time: 0.8625  data: 0.0050  max mem: 8505
Epoch: [0]  [1910/2250]  eta: 0:04:53  lr: 0.005000  loss: 0.0190 (0.0732)  loss_classifier: 0.0168 (0.0274)  loss_box_reg: 0.0012 (0.0108)  loss_mask: 0.0000 (0.0151)  loss_objectness: 0.0003 (0.0041)  loss_rpn_box_reg: 0.0008 (0.0157)  time: 0.8631  data: 0.0054  max mem: 8505
Epoch: [0]  [1920/2250]  eta: 0:04:45  lr: 0.005000  loss: 0.0187 (0.0729)  loss_classifier: 0.0168 (0.0274)  loss_box_reg: 0.0012 (0.0107)  loss_mask: 0.0000 (0.0150)  loss_objectness: 0.0002 (0.0041)  loss_rpn_box_reg: 0.0006 (0.0157)  time: 0.8633  data: 0.0044  max mem: 8505
Epoch: [0]  [1930/2250]  eta: 0:04:36  lr: 0.005000  loss: 0.0172 (0.0727)  loss_classifier: 0.0153 (0.0273)  loss_box_reg: 0.0011 (0.0107)  loss_mask: 0.0000 (0.0150)  loss_objectness: 0.0002 (0.0041)  loss_rpn_box_reg: 0.0007 (0.0156)  time: 0.8636  data: 0.0038  max mem: 8505
Epoch: [0]  [1940/2250]  eta: 0:04:27  lr: 0.005000  loss: 0.0169 (0.0724)  loss_classifier: 0.0153 (0.0273)  loss_box_reg: 0.0009 (0.0106)  loss_mask: 0.0000 (0.0149)  loss_objectness: 0.0003 (0.0041)  loss_rpn_box_reg: 0.0007 (0.0155)  time: 0.8633  data: 0.0024  max mem: 8505
Epoch: [0]  [1950/2250]  eta: 0:04:19  lr: 0.005000  loss: 0.0167 (0.0721)  loss_classifier: 0.0152 (0.0272)  loss_box_reg: 0.0009 (0.0106)  loss_mask: 0.0000 (0.0148)  loss_objectness: 0.0002 (0.0040)  loss_rpn_box_reg: 0.0004 (0.0154)  time: 0.8624  data: 0.0018  max mem: 8505
Epoch: [0]  [1960/2250]  eta: 0:04:10  lr: 0.005000  loss: 0.0165 (0.0718)  loss_classifier: 0.0147 (0.0271)  loss_box_reg: 0.0009 (0.0106)  loss_mask: 0.0000 (0.0147)  loss_objectness: 0.0002 (0.0040)  loss_rpn_box_reg: 0.0005 (0.0154)  time: 0.8625  data: 0.0039  max mem: 8505
Epoch: [0]  [1970/2250]  eta: 0:04:02  lr: 0.005000  loss: 0.0165 (0.0715)  loss_classifier: 0.0143 (0.0271)  loss_box_reg: 0.0011 (0.0105)  loss_mask: 0.0000 (0.0147)  loss_objectness: 0.0003 (0.0040)  loss_rpn_box_reg: 0.0007 (0.0153)  time: 0.8630  data: 0.0031  max mem: 8505
Epoch: [0]  [1980/2250]  eta: 0:03:53  lr: 0.005000  loss: 0.0161 (0.0713)  loss_classifier: 0.0140 (0.0270)  loss_box_reg: 0.0010 (0.0105)  loss_mask: 0.0000 (0.0146)  loss_objectness: 0.0003 (0.0040)  loss_rpn_box_reg: 0.0008 (0.0152)  time: 0.8627  data: 0.0023  max mem: 8505
Epoch: [0]  [1990/2250]  eta: 0:03:44  lr: 0.005000  loss: 0.0174 (0.0710)  loss_classifier: 0.0149 (0.0269)  loss_box_reg: 0.0011 (0.0104)  loss_mask: 0.0000 (0.0145)  loss_objectness: 0.0004 (0.0040)  loss_rpn_box_reg: 0.0005 (0.0151)  time: 0.8621  data: 0.0020  max mem: 8505
Epoch: [0]  [2000/2250]  eta: 0:03:36  lr: 0.005000  loss: 0.0170 (0.0707)  loss_classifier: 0.0142 (0.0269)  loss_box_reg: 0.0012 (0.0104)  loss_mask: 0.0000 (0.0144)  loss_objectness: 0.0003 (0.0040)  loss_rpn_box_reg: 0.0004 (0.0151)  time: 0.8616  data: 0.0011  max mem: 8505
Epoch: [0]  [2010/2250]  eta: 0:03:27  lr: 0.005000  loss: 0.0170 (0.0704)  loss_classifier: 0.0151 (0.0268)  loss_box_reg: 0.0012 (0.0103)  loss_mask: 0.0000 (0.0144)  loss_objectness: 0.0002 (0.0039)  loss_rpn_box_reg: 0.0005 (0.0150)  time: 0.8625  data: 0.0015  max mem: 8505
Epoch: [0]  [2020/2250]  eta: 0:03:18  lr: 0.005000  loss: 0.0175 (0.0702)  loss_classifier: 0.0153 (0.0268)  loss_box_reg: 0.0011 (0.0103)  loss_mask: 0.0000 (0.0143)  loss_objectness: 0.0002 (0.0039)  loss_rpn_box_reg: 0.0006 (0.0149)  time: 0.8640  data: 0.0013  max mem: 8505
Epoch: [0]  [2030/2250]  eta: 0:03:10  lr: 0.005000  loss: 0.0181 (0.0699)  loss_classifier: 0.0158 (0.0267)  loss_box_reg: 0.0012 (0.0102)  loss_mask: 0.0000 (0.0142)  loss_objectness: 0.0002 (0.0039)  loss_rpn_box_reg: 0.0007 (0.0148)  time: 0.8633  data: 0.0004  max mem: 8505
Epoch: [0]  [2040/2250]  eta: 0:03:01  lr: 0.005000  loss: 0.0189 (0.0697)  loss_classifier: 0.0163 (0.0267)  loss_box_reg: 0.0012 (0.0102)  loss_mask: 0.0000 (0.0142)  loss_objectness: 0.0002 (0.0039)  loss_rpn_box_reg: 0.0008 (0.0148)  time: 0.8641  data: 0.0022  max mem: 8505
Epoch: [0]  [2050/2250]  eta: 0:02:52  lr: 0.005000  loss: 0.0186 (0.0694)  loss_classifier: 0.0163 (0.0266)  loss_box_reg: 0.0013 (0.0101)  loss_mask: 0.0000 (0.0141)  loss_objectness: 0.0002 (0.0039)  loss_rpn_box_reg: 0.0006 (0.0147)  time: 0.8641  data: 0.0025  max mem: 8505
Epoch: [0]  [2060/2250]  eta: 0:02:44  lr: 0.005000  loss: 0.0182 (0.0692)  loss_classifier: 0.0161 (0.0266)  loss_box_reg: 0.0010 (0.0101)  loss_mask: 0.0000 (0.0140)  loss_objectness: 0.0002 (0.0038)  loss_rpn_box_reg: 0.0005 (0.0146)  time: 0.8605  data: 0.0034  max mem: 8505
Epoch: [0]  [2070/2250]  eta: 0:02:35  lr: 0.005000  loss: 0.0180 (0.0689)  loss_classifier: 0.0161 (0.0265)  loss_box_reg: 0.0009 (0.0101)  loss_mask: 0.0000 (0.0140)  loss_objectness: 0.0002 (0.0038)  loss_rpn_box_reg: 0.0005 (0.0146)  time: 0.8602  data: 0.0039  max mem: 8505
Epoch: [0]  [2080/2250]  eta: 0:02:26  lr: 0.005000  loss: 0.0172 (0.0687)  loss_classifier: 0.0152 (0.0265)  loss_box_reg: 0.0011 (0.0100)  loss_mask: 0.0000 (0.0139)  loss_objectness: 0.0003 (0.0038)  loss_rpn_box_reg: 0.0004 (0.0145)  time: 0.8622  data: 0.0019  max mem: 8505
Epoch: [0]  [2090/2250]  eta: 0:02:18  lr: 0.005000  loss: 0.0167 (0.0684)  loss_classifier: 0.0142 (0.0264)  loss_box_reg: 0.0012 (0.0100)  loss_mask: 0.0000 (0.0138)  loss_objectness: 0.0003 (0.0038)  loss_rpn_box_reg: 0.0005 (0.0144)  time: 0.8625  data: 0.0037  max mem: 8505
Epoch: [0]  [2100/2250]  eta: 0:02:09  lr: 0.005000  loss: 0.0163 (0.0683)  loss_classifier: 0.0126 (0.0264)  loss_box_reg: 0.0017 (0.0099)  loss_mask: 0.0000 (0.0138)  loss_objectness: 0.0003 (0.0038)  loss_rpn_box_reg: 0.0006 (0.0144)  time: 0.8633  data: 0.0037  max mem: 8505
Epoch: [0]  [2110/2250]  eta: 0:02:01  lr: 0.005000  loss: 0.0163 (0.0680)  loss_classifier: 0.0125 (0.0263)  loss_box_reg: 0.0016 (0.0099)  loss_mask: 0.0003 (0.0138)  loss_objectness: 0.0003 (0.0038)  loss_rpn_box_reg: 0.0008 (0.0143)  time: 0.8641  data: 0.0026  max mem: 8505
Epoch: [0]  [2120/2250]  eta: 0:01:52  lr: 0.005000  loss: 0.0168 (0.0678)  loss_classifier: 0.0139 (0.0262)  loss_box_reg: 0.0010 (0.0098)  loss_mask: 0.0003 (0.0137)  loss_objectness: 0.0003 (0.0038)  loss_rpn_box_reg: 0.0007 (0.0142)  time: 0.8625  data: 0.0025  max mem: 8505
Epoch: [0]  [2130/2250]  eta: 0:01:43  lr: 0.005000  loss: 0.0167 (0.0675)  loss_classifier: 0.0143 (0.0262)  loss_box_reg: 0.0009 (0.0098)  loss_mask: 0.0002 (0.0136)  loss_objectness: 0.0003 (0.0037)  loss_rpn_box_reg: 0.0005 (0.0142)  time: 0.8625  data: 0.0034  max mem: 8505
Epoch: [0]  [2140/2250]  eta: 0:01:35  lr: 0.005000  loss: 0.0167 (0.0673)  loss_classifier: 0.0143 (0.0261)  loss_box_reg: 0.0009 (0.0098)  loss_mask: 0.0001 (0.0136)  loss_objectness: 0.0003 (0.0037)  loss_rpn_box_reg: 0.0005 (0.0141)  time: 0.8617  data: 0.0028  max mem: 8505
Epoch: [0]  [2150/2250]  eta: 0:01:26  lr: 0.005000  loss: 0.0171 (0.0671)  loss_classifier: 0.0145 (0.0261)  loss_box_reg: 0.0011 (0.0097)  loss_mask: 0.0001 (0.0135)  loss_objectness: 0.0003 (0.0037)  loss_rpn_box_reg: 0.0005 (0.0141)  time: 0.8610  data: 0.0004  max mem: 8505
Epoch: [0]  [2160/2250]  eta: 0:01:17  lr: 0.005000  loss: 0.0182 (0.0668)  loss_classifier: 0.0155 (0.0260)  loss_box_reg: 0.0012 (0.0097)  loss_mask: 0.0001 (0.0134)  loss_objectness: 0.0003 (0.0037)  loss_rpn_box_reg: 0.0005 (0.0140)  time: 0.8627  data: 0.0021  max mem: 8505
Epoch: [0]  [2170/2250]  eta: 0:01:09  lr: 0.005000  loss: 0.0177 (0.0666)  loss_classifier: 0.0154 (0.0260)  loss_box_reg: 0.0011 (0.0096)  loss_mask: 0.0001 (0.0134)  loss_objectness: 0.0002 (0.0037)  loss_rpn_box_reg: 0.0007 (0.0139)  time: 0.8625  data: 0.0028  max mem: 8505
Epoch: [0]  [2180/2250]  eta: 0:01:00  lr: 0.005000  loss: 0.0172 (0.0664)  loss_classifier: 0.0151 (0.0259)  loss_box_reg: 0.0010 (0.0096)  loss_mask: 0.0001 (0.0133)  loss_objectness: 0.0002 (0.0037)  loss_rpn_box_reg: 0.0007 (0.0139)  time: 0.8615  data: 0.0018  max mem: 8505
Epoch: [0]  [2190/2250]  eta: 0:00:51  lr: 0.005000  loss: 0.0162 (0.0662)  loss_classifier: 0.0143 (0.0259)  loss_box_reg: 0.0010 (0.0096)  loss_mask: 0.0001 (0.0133)  loss_objectness: 0.0002 (0.0036)  loss_rpn_box_reg: 0.0005 (0.0138)  time: 0.8609  data: 0.0012  max mem: 8505
Epoch: [0]  [2200/2250]  eta: 0:00:43  lr: 0.005000  loss: 0.0164 (0.0659)  loss_classifier: 0.0146 (0.0258)  loss_box_reg: 0.0011 (0.0095)  loss_mask: 0.0001 (0.0132)  loss_objectness: 0.0002 (0.0036)  loss_rpn_box_reg: 0.0005 (0.0138)  time: 0.8617  data: 0.0015  max mem: 8505
Epoch: [0]  [2210/2250]  eta: 0:00:34  lr: 0.005000  loss: 0.0172 (0.0657)  loss_classifier: 0.0150 (0.0258)  loss_box_reg: 0.0013 (0.0095)  loss_mask: 0.0000 (0.0131)  loss_objectness: 0.0002 (0.0036)  loss_rpn_box_reg: 0.0005 (0.0137)  time: 0.8625  data: 0.0023  max mem: 8505
Epoch: [0]  [2220/2250]  eta: 0:00:25  lr: 0.005000  loss: 0.0167 (0.0655)  loss_classifier: 0.0143 (0.0257)  loss_box_reg: 0.0010 (0.0095)  loss_mask: 0.0000 (0.0131)  loss_objectness: 0.0003 (0.0036)  loss_rpn_box_reg: 0.0006 (0.0136)  time: 0.8617  data: 0.0017  max mem: 8505
Epoch: [0]  [2230/2250]  eta: 0:00:17  lr: 0.005000  loss: 0.0161 (0.0653)  loss_classifier: 0.0144 (0.0257)  loss_box_reg: 0.0008 (0.0094)  loss_mask: 0.0001 (0.0130)  loss_objectness: 0.0003 (0.0036)  loss_rpn_box_reg: 0.0006 (0.0136)  time: 0.8602  data: 0.0012  max mem: 8505
Epoch: [0]  [2240/2250]  eta: 0:00:08  lr: 0.005000  loss: 0.0159 (0.0651)  loss_classifier: 0.0146 (0.0256)  loss_box_reg: 0.0008 (0.0094)  loss_mask: 0.0001 (0.0130)  loss_objectness: 0.0002 (0.0036)  loss_rpn_box_reg: 0.0004 (0.0135)  time: 0.8594  data: 0.0019  max mem: 8505
Epoch: [0]  [2249/2250]  eta: 0:00:00  lr: 0.005000  loss: 0.0154 (0.0649)  loss_classifier: 0.0144 (0.0256)  loss_box_reg: 0.0009 (0.0093)  loss_mask: 0.0001 (0.0129)  loss_objectness: 0.0002 (0.0036)  loss_rpn_box_reg: 0.0003 (0.0135)  time: 0.8625  data: 0.0030  max mem: 8505
Epoch: [0] Total time: 0:32:24 (0.8643 s / it)
creating index...
index created!
Test:  [  0/250]  eta: 0:05:39  model_time: 0.6090 (0.6090)  evaluator_time: 0.0160 (0.0160)  time: 1.3598  data: 0.7348  max mem: 8505
Test:  [100/250]  eta: 0:00:54  model_time: 0.3282 (0.3424)  evaluator_time: 0.0095 (0.0080)  time: 0.3406  data: 0.0013  max mem: 8505
Test:  [200/250]  eta: 0:00:17  model_time: 0.3293 (0.3362)  evaluator_time: 0.0000 (0.0088)  time: 0.3438  data: 0.0039  max mem: 8505
Test:  [249/250]  eta: 0:00:00  model_time: 0.3290 (0.3358)  evaluator_time: 0.0110 (0.0091)  time: 0.3434  data: 0.0018  max mem: 8505
Test: Total time: 0:01:27 (0.3515 s / it)
Averaged stats: model_time: 0.3290 (0.3358)  evaluator_time: 0.0110 (0.0091)
Accumulating evaluation results...
DONE (t=0.11s).
Accumulating evaluation results...
DONE (t=0.13s).
IoU metric: bbox
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.778
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.779
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.779
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.778
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
IoU metric: segm
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.675
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.779
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.779
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.675
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.882
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.882
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.882
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.882
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000

Epoch: [9]  [   0/2250]  eta: 2:11:09  lr: 0.000005  loss: 0.0100 (0.0100)  loss_classifier: 0.0096 (0.0096)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 3.4974  data: 2.4615  max mem: 8505
Epoch: [9]  [  10/2250]  eta: 0:40:48  lr: 0.000005  loss: 0.0100 (0.0102)  loss_classifier: 0.0096 (0.0095)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 1.0930  data: 0.2271  max mem: 8505
Epoch: [9]  [  20/2250]  eta: 0:36:22  lr: 0.000005  loss: 0.0089 (0.0103)  loss_classifier: 0.0079 (0.0097)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8529  data: 0.0026  max mem: 8505
Epoch: [9]  [  30/2250]  eta: 0:34:42  lr: 0.000005  loss: 0.0097 (0.0104)  loss_classifier: 0.0093 (0.0097)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8525  data: 0.0016  max mem: 8505
Epoch: [9]  [  40/2250]  eta: 0:33:46  lr: 0.000005  loss: 0.0107 (0.0107)  loss_classifier: 0.0102 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8520  data: 0.0016  max mem: 8505
Epoch: [9]  [  50/2250]  eta: 0:33:09  lr: 0.000005  loss: 0.0117 (0.0109)  loss_classifier: 0.0111 (0.0102)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0002)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8528  data: 0.0016  max mem: 8505
Epoch: [9]  [  60/2250]  eta: 0:32:43  lr: 0.000005  loss: 0.0118 (0.0111)  loss_classifier: 0.0111 (0.0104)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8543  data: 0.0024  max mem: 8505
Epoch: [9]  [  70/2250]  eta: 0:32:21  lr: 0.000005  loss: 0.0093 (0.0109)  loss_classifier: 0.0088 (0.0103)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8551  data: 0.0027  max mem: 8505
Epoch: [9]  [  80/2250]  eta: 0:32:03  lr: 0.000005  loss: 0.0093 (0.0109)  loss_classifier: 0.0088 (0.0102)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8559  data: 0.0035  max mem: 8505
Epoch: [9]  [  90/2250]  eta: 0:31:47  lr: 0.000005  loss: 0.0091 (0.0107)  loss_classifier: 0.0086 (0.0100)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0039  max mem: 8505
Epoch: [9]  [ 100/2250]  eta: 0:31:32  lr: 0.000005  loss: 0.0089 (0.0106)  loss_classifier: 0.0080 (0.0099)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8558  data: 0.0023  max mem: 8505
Epoch: [9]  [ 110/2250]  eta: 0:31:19  lr: 0.000005  loss: 0.0095 (0.0105)  loss_classifier: 0.0085 (0.0099)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8559  data: 0.0023  max mem: 8505
Epoch: [9]  [ 120/2250]  eta: 0:31:07  lr: 0.000005  loss: 0.0097 (0.0105)  loss_classifier: 0.0092 (0.0099)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0031  max mem: 8505
Epoch: [9]  [ 130/2250]  eta: 0:30:55  lr: 0.000005  loss: 0.0105 (0.0106)  loss_classifier: 0.0101 (0.0100)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0020  max mem: 8505
Epoch: [9]  [ 140/2250]  eta: 0:30:43  lr: 0.000005  loss: 0.0123 (0.0108)  loss_classifier: 0.0116 (0.0102)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0020  max mem: 8505
Epoch: [9]  [ 150/2250]  eta: 0:30:32  lr: 0.000005  loss: 0.0111 (0.0107)  loss_classifier: 0.0104 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0023  max mem: 8505
Epoch: [9]  [ 160/2250]  eta: 0:30:21  lr: 0.000005  loss: 0.0098 (0.0107)  loss_classifier: 0.0090 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0031  max mem: 8505
Epoch: [9]  [ 170/2250]  eta: 0:30:11  lr: 0.000005  loss: 0.0104 (0.0107)  loss_classifier: 0.0098 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8581  data: 0.0039  max mem: 8505
Epoch: [9]  [ 180/2250]  eta: 0:30:01  lr: 0.000005  loss: 0.0097 (0.0107)  loss_classifier: 0.0092 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8582  data: 0.0031  max mem: 8505
Epoch: [9]  [ 190/2250]  eta: 0:29:51  lr: 0.000005  loss: 0.0097 (0.0107)  loss_classifier: 0.0092 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8583  data: 0.0016  max mem: 8505
Epoch: [9]  [ 200/2250]  eta: 0:29:41  lr: 0.000005  loss: 0.0097 (0.0108)  loss_classifier: 0.0090 (0.0102)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8582  data: 0.0018  max mem: 8505
Epoch: [9]  [ 210/2250]  eta: 0:29:31  lr: 0.000005  loss: 0.0097 (0.0107)  loss_classifier: 0.0090 (0.0101)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8591  data: 0.0021  max mem: 8505
Epoch: [9]  [ 220/2250]  eta: 0:29:22  lr: 0.000005  loss: 0.0111 (0.0108)  loss_classifier: 0.0105 (0.0102)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8595  data: 0.0011  max mem: 8505
Epoch: [9]  [ 230/2250]  eta: 0:29:12  lr: 0.000005  loss: 0.0106 (0.0108)  loss_classifier: 0.0100 (0.0102)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8582  data: 0.0015  max mem: 8505
Epoch: [9]  [ 240/2250]  eta: 0:29:03  lr: 0.000005  loss: 0.0118 (0.0110)  loss_classifier: 0.0114 (0.0104)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8570  data: 0.0016  max mem: 8505
Epoch: [9]  [ 250/2250]  eta: 0:28:53  lr: 0.000005  loss: 0.0119 (0.0109)  loss_classifier: 0.0116 (0.0103)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0024  max mem: 8505
Epoch: [9]  [ 260/2250]  eta: 0:28:44  lr: 0.000005  loss: 0.0100 (0.0110)  loss_classifier: 0.0092 (0.0103)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0031  max mem: 8505
Epoch: [9]  [ 270/2250]  eta: 0:28:34  lr: 0.000005  loss: 0.0110 (0.0109)  loss_classifier: 0.0101 (0.0103)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0024  max mem: 8505
Epoch: [9]  [ 280/2250]  eta: 0:28:25  lr: 0.000005  loss: 0.0103 (0.0109)  loss_classifier: 0.0097 (0.0103)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0023  max mem: 8505
Epoch: [9]  [ 290/2250]  eta: 0:28:16  lr: 0.000005  loss: 0.0112 (0.0109)  loss_classifier: 0.0104 (0.0103)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0016  max mem: 8505
Epoch: [9]  [ 300/2250]  eta: 0:28:07  lr: 0.000005  loss: 0.0115 (0.0110)  loss_classifier: 0.0111 (0.0104)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8560  data: 0.0017  max mem: 8505
Epoch: [9]  [ 310/2250]  eta: 0:27:57  lr: 0.000005  loss: 0.0116 (0.0110)  loss_classifier: 0.0113 (0.0104)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0025  max mem: 8505
Epoch: [9]  [ 320/2250]  eta: 0:27:48  lr: 0.000005  loss: 0.0114 (0.0110)  loss_classifier: 0.0111 (0.0104)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [ 330/2250]  eta: 0:27:39  lr: 0.000005  loss: 0.0114 (0.0110)  loss_classifier: 0.0111 (0.0104)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [ 340/2250]  eta: 0:27:30  lr: 0.000005  loss: 0.0111 (0.0111)  loss_classifier: 0.0106 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0030  max mem: 8505
Epoch: [9]  [ 350/2250]  eta: 0:27:21  lr: 0.000005  loss: 0.0117 (0.0111)  loss_classifier: 0.0103 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0038  max mem: 8505
Epoch: [9]  [ 360/2250]  eta: 0:27:12  lr: 0.000005  loss: 0.0113 (0.0111)  loss_classifier: 0.0103 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0031  max mem: 8505
Epoch: [9]  [ 370/2250]  eta: 0:27:03  lr: 0.000005  loss: 0.0106 (0.0111)  loss_classifier: 0.0103 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0023  max mem: 8505
Epoch: [9]  [ 380/2250]  eta: 0:26:54  lr: 0.000005  loss: 0.0096 (0.0111)  loss_classifier: 0.0092 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0014  max mem: 8505
Epoch: [9]  [ 390/2250]  eta: 0:26:45  lr: 0.000005  loss: 0.0096 (0.0111)  loss_classifier: 0.0092 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0030  max mem: 8505
Epoch: [9]  [ 400/2250]  eta: 0:26:36  lr: 0.000005  loss: 0.0107 (0.0111)  loss_classifier: 0.0101 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0030  max mem: 8505
Epoch: [9]  [ 410/2250]  eta: 0:26:27  lr: 0.000005  loss: 0.0106 (0.0111)  loss_classifier: 0.0101 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0021  max mem: 8505
Epoch: [9]  [ 420/2250]  eta: 0:26:18  lr: 0.000005  loss: 0.0106 (0.0111)  loss_classifier: 0.0100 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0031  max mem: 8505
Epoch: [9]  [ 430/2250]  eta: 0:26:10  lr: 0.000005  loss: 0.0104 (0.0111)  loss_classifier: 0.0095 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8577  data: 0.0023  max mem: 8505
Epoch: [9]  [ 440/2250]  eta: 0:26:01  lr: 0.000005  loss: 0.0104 (0.0111)  loss_classifier: 0.0100 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0021  max mem: 8505
Epoch: [9]  [ 450/2250]  eta: 0:25:52  lr: 0.000005  loss: 0.0109 (0.0111)  loss_classifier: 0.0103 (0.0105)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0021  max mem: 8505
Epoch: [9]  [ 460/2250]  eta: 0:25:43  lr: 0.000005  loss: 0.0106 (0.0111)  loss_classifier: 0.0102 (0.0105)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0036  max mem: 8505
Epoch: [9]  [ 470/2250]  eta: 0:25:34  lr: 0.000005  loss: 0.0101 (0.0111)  loss_classifier: 0.0097 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8571  data: 0.0039  max mem: 8505
Epoch: [9]  [ 480/2250]  eta: 0:25:25  lr: 0.000005  loss: 0.0105 (0.0111)  loss_classifier: 0.0101 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0019  max mem: 8505
Epoch: [9]  [ 490/2250]  eta: 0:25:17  lr: 0.000005  loss: 0.0103 (0.0111)  loss_classifier: 0.0097 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0008  max mem: 8505
Epoch: [9]  [ 500/2250]  eta: 0:25:08  lr: 0.000005  loss: 0.0101 (0.0111)  loss_classifier: 0.0097 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0000)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0016  max mem: 8505
Epoch: [9]  [ 510/2250]  eta: 0:24:59  lr: 0.000005  loss: 0.0108 (0.0111)  loss_classifier: 0.0102 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8572  data: 0.0024  max mem: 8505
Epoch: [9]  [ 520/2250]  eta: 0:24:50  lr: 0.000005  loss: 0.0114 (0.0111)  loss_classifier: 0.0107 (0.0105)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0024  max mem: 8505
Epoch: [9]  [ 530/2250]  eta: 0:24:42  lr: 0.000005  loss: 0.0112 (0.0111)  loss_classifier: 0.0107 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0030  max mem: 8505
Epoch: [9]  [ 540/2250]  eta: 0:24:33  lr: 0.000005  loss: 0.0091 (0.0111)  loss_classifier: 0.0088 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8572  data: 0.0014  max mem: 8505
Epoch: [9]  [ 550/2250]  eta: 0:24:24  lr: 0.000005  loss: 0.0096 (0.0111)  loss_classifier: 0.0090 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0016  max mem: 8505
Epoch: [9]  [ 560/2250]  eta: 0:24:15  lr: 0.000005  loss: 0.0108 (0.0111)  loss_classifier: 0.0102 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0018  max mem: 8505
Epoch: [9]  [ 570/2250]  eta: 0:24:07  lr: 0.000005  loss: 0.0105 (0.0111)  loss_classifier: 0.0100 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0010  max mem: 8505
Epoch: [9]  [ 580/2250]  eta: 0:23:58  lr: 0.000005  loss: 0.0105 (0.0111)  loss_classifier: 0.0096 (0.0105)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0030  max mem: 8505
Epoch: [9]  [ 590/2250]  eta: 0:23:49  lr: 0.000005  loss: 0.0130 (0.0112)  loss_classifier: 0.0117 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0022  max mem: 8505
Epoch: [9]  [ 600/2250]  eta: 0:23:40  lr: 0.000005  loss: 0.0132 (0.0112)  loss_classifier: 0.0125 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0019  max mem: 8505
Epoch: [9]  [ 610/2250]  eta: 0:23:32  lr: 0.000005  loss: 0.0105 (0.0112)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0035  max mem: 8505
Epoch: [9]  [ 620/2250]  eta: 0:23:23  lr: 0.000005  loss: 0.0105 (0.0112)  loss_classifier: 0.0100 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0027  max mem: 8505
Epoch: [9]  [ 630/2250]  eta: 0:23:14  lr: 0.000005  loss: 0.0108 (0.0112)  loss_classifier: 0.0106 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8576  data: 0.0019  max mem: 8505
Epoch: [9]  [ 640/2250]  eta: 0:23:06  lr: 0.000005  loss: 0.0119 (0.0112)  loss_classifier: 0.0113 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [ 650/2250]  eta: 0:22:57  lr: 0.000005  loss: 0.0107 (0.0112)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0034  max mem: 8505
Epoch: [9]  [ 660/2250]  eta: 0:22:48  lr: 0.000005  loss: 0.0103 (0.0112)  loss_classifier: 0.0094 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0042  max mem: 8505
Epoch: [9]  [ 670/2250]  eta: 0:22:39  lr: 0.000005  loss: 0.0099 (0.0112)  loss_classifier: 0.0097 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8578  data: 0.0028  max mem: 8505
Epoch: [9]  [ 680/2250]  eta: 0:22:31  lr: 0.000005  loss: 0.0095 (0.0112)  loss_classifier: 0.0089 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8577  data: 0.0016  max mem: 8505
Epoch: [9]  [ 690/2250]  eta: 0:22:22  lr: 0.000005  loss: 0.0093 (0.0112)  loss_classifier: 0.0089 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0016  max mem: 8505
Epoch: [9]  [ 700/2250]  eta: 0:22:13  lr: 0.000005  loss: 0.0107 (0.0112)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8562  data: 0.0018  max mem: 8505
Epoch: [9]  [ 710/2250]  eta: 0:22:05  lr: 0.000005  loss: 0.0133 (0.0112)  loss_classifier: 0.0126 (0.0106)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8571  data: 0.0019  max mem: 8505
Epoch: [9]  [ 720/2250]  eta: 0:21:56  lr: 0.000005  loss: 0.0118 (0.0113)  loss_classifier: 0.0111 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8576  data: 0.0017  max mem: 8505
Epoch: [9]  [ 730/2250]  eta: 0:21:47  lr: 0.000005  loss: 0.0117 (0.0113)  loss_classifier: 0.0111 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0013  max mem: 8505
Epoch: [9]  [ 740/2250]  eta: 0:21:39  lr: 0.000005  loss: 0.0123 (0.0113)  loss_classifier: 0.0114 (0.0107)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8571  data: 0.0021  max mem: 8505
Epoch: [9]  [ 750/2250]  eta: 0:21:30  lr: 0.000005  loss: 0.0118 (0.0113)  loss_classifier: 0.0110 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8572  data: 0.0031  max mem: 8505
Epoch: [9]  [ 760/2250]  eta: 0:21:21  lr: 0.000005  loss: 0.0106 (0.0113)  loss_classifier: 0.0101 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0024  max mem: 8505
Epoch: [9]  [ 770/2250]  eta: 0:21:13  lr: 0.000005  loss: 0.0100 (0.0113)  loss_classifier: 0.0095 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0019  max mem: 8505
Epoch: [9]  [ 780/2250]  eta: 0:21:04  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0102 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [ 790/2250]  eta: 0:20:55  lr: 0.000005  loss: 0.0124 (0.0113)  loss_classifier: 0.0120 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0019  max mem: 8505
Epoch: [9]  [ 800/2250]  eta: 0:20:47  lr: 0.000005  loss: 0.0114 (0.0113)  loss_classifier: 0.0107 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8582  data: 0.0023  max mem: 8505
Epoch: [9]  [ 810/2250]  eta: 0:20:38  lr: 0.000005  loss: 0.0111 (0.0113)  loss_classifier: 0.0107 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0016  max mem: 8505
Epoch: [9]  [ 820/2250]  eta: 0:20:29  lr: 0.000005  loss: 0.0115 (0.0113)  loss_classifier: 0.0110 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [ 830/2250]  eta: 0:20:21  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0095 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0035  max mem: 8505
Epoch: [9]  [ 840/2250]  eta: 0:20:12  lr: 0.000005  loss: 0.0097 (0.0113)  loss_classifier: 0.0091 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0019  max mem: 8505
Epoch: [9]  [ 850/2250]  eta: 0:20:03  lr: 0.000005  loss: 0.0117 (0.0113)  loss_classifier: 0.0112 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [ 860/2250]  eta: 0:19:55  lr: 0.000005  loss: 0.0114 (0.0113)  loss_classifier: 0.0110 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0035  max mem: 8505
Epoch: [9]  [ 870/2250]  eta: 0:19:46  lr: 0.000005  loss: 0.0099 (0.0113)  loss_classifier: 0.0091 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0027  max mem: 8505
Epoch: [9]  [ 880/2250]  eta: 0:19:38  lr: 0.000005  loss: 0.0097 (0.0113)  loss_classifier: 0.0093 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0025  max mem: 8505
Epoch: [9]  [ 890/2250]  eta: 0:19:29  lr: 0.000005  loss: 0.0111 (0.0113)  loss_classifier: 0.0106 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0017  max mem: 8505
Epoch: [9]  [ 900/2250]  eta: 0:19:20  lr: 0.000005  loss: 0.0113 (0.0113)  loss_classifier: 0.0109 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0015  max mem: 8505
Epoch: [9]  [ 910/2250]  eta: 0:19:12  lr: 0.000005  loss: 0.0114 (0.0113)  loss_classifier: 0.0109 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0022  max mem: 8505
Epoch: [9]  [ 920/2250]  eta: 0:19:03  lr: 0.000005  loss: 0.0102 (0.0113)  loss_classifier: 0.0095 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0021  max mem: 8505
Epoch: [9]  [ 930/2250]  eta: 0:18:54  lr: 0.000005  loss: 0.0085 (0.0113)  loss_classifier: 0.0078 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8571  data: 0.0032  max mem: 8505
Epoch: [9]  [ 940/2250]  eta: 0:18:46  lr: 0.000005  loss: 0.0085 (0.0113)  loss_classifier: 0.0079 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0034  max mem: 8505
Epoch: [9]  [ 950/2250]  eta: 0:18:37  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0100 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0037  max mem: 8505
Epoch: [9]  [ 960/2250]  eta: 0:18:28  lr: 0.000005  loss: 0.0105 (0.0113)  loss_classifier: 0.0100 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8578  data: 0.0037  max mem: 8505
Epoch: [9]  [ 970/2250]  eta: 0:18:20  lr: 0.000005  loss: 0.0103 (0.0113)  loss_classifier: 0.0097 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8563  data: 0.0017  max mem: 8505
Epoch: [9]  [ 980/2250]  eta: 0:18:11  lr: 0.000005  loss: 0.0103 (0.0113)  loss_classifier: 0.0089 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [ 990/2250]  eta: 0:18:03  lr: 0.000005  loss: 0.0096 (0.0113)  loss_classifier: 0.0087 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0031  max mem: 8505
Epoch: [9]  [1000/2250]  eta: 0:17:54  lr: 0.000005  loss: 0.0089 (0.0112)  loss_classifier: 0.0083 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0020  max mem: 8505
Epoch: [9]  [1010/2250]  eta: 0:17:45  lr: 0.000005  loss: 0.0091 (0.0112)  loss_classifier: 0.0084 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0016  max mem: 8505
Epoch: [9]  [1020/2250]  eta: 0:17:37  lr: 0.000005  loss: 0.0098 (0.0112)  loss_classifier: 0.0088 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0020  max mem: 8505
Epoch: [9]  [1030/2250]  eta: 0:17:28  lr: 0.000005  loss: 0.0133 (0.0113)  loss_classifier: 0.0123 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [1040/2250]  eta: 0:17:19  lr: 0.000005  loss: 0.0124 (0.0113)  loss_classifier: 0.0119 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0028  max mem: 8505
Epoch: [9]  [1050/2250]  eta: 0:17:11  lr: 0.000005  loss: 0.0091 (0.0113)  loss_classifier: 0.0086 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0020  max mem: 8505
Epoch: [9]  [1060/2250]  eta: 0:17:02  lr: 0.000005  loss: 0.0098 (0.0112)  loss_classifier: 0.0093 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0016  max mem: 8505
Epoch: [9]  [1070/2250]  eta: 0:16:54  lr: 0.000005  loss: 0.0096 (0.0112)  loss_classifier: 0.0088 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [1080/2250]  eta: 0:16:45  lr: 0.000005  loss: 0.0098 (0.0112)  loss_classifier: 0.0091 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [1090/2250]  eta: 0:16:36  lr: 0.000005  loss: 0.0107 (0.0112)  loss_classifier: 0.0105 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0029  max mem: 8505
Epoch: [9]  [1100/2250]  eta: 0:16:28  lr: 0.000005  loss: 0.0122 (0.0112)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0029  max mem: 8505
Epoch: [9]  [1110/2250]  eta: 0:16:19  lr: 0.000005  loss: 0.0110 (0.0112)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0032  max mem: 8505
Epoch: [9]  [1120/2250]  eta: 0:16:10  lr: 0.000005  loss: 0.0103 (0.0112)  loss_classifier: 0.0099 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0027  max mem: 8505
Epoch: [9]  [1130/2250]  eta: 0:16:02  lr: 0.000005  loss: 0.0110 (0.0112)  loss_classifier: 0.0104 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8583  data: 0.0018  max mem: 8505
Epoch: [9]  [1140/2250]  eta: 0:15:53  lr: 0.000005  loss: 0.0114 (0.0112)  loss_classifier: 0.0108 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0016  max mem: 8505
Epoch: [9]  [1150/2250]  eta: 0:15:45  lr: 0.000005  loss: 0.0121 (0.0112)  loss_classifier: 0.0111 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0009  max mem: 8505
Epoch: [9]  [1160/2250]  eta: 0:15:36  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0104 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0018  max mem: 8505
Epoch: [9]  [1170/2250]  eta: 0:15:27  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0022  max mem: 8505
Epoch: [9]  [1180/2250]  eta: 0:15:19  lr: 0.000005  loss: 0.0100 (0.0113)  loss_classifier: 0.0096 (0.0106)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0014  max mem: 8505
Epoch: [9]  [1190/2250]  eta: 0:15:10  lr: 0.000005  loss: 0.0104 (0.0113)  loss_classifier: 0.0098 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0017  max mem: 8505
Epoch: [9]  [1200/2250]  eta: 0:15:02  lr: 0.000005  loss: 0.0096 (0.0113)  loss_classifier: 0.0090 (0.0106)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0041  max mem: 8505
Epoch: [9]  [1210/2250]  eta: 0:14:53  lr: 0.000005  loss: 0.0091 (0.0113)  loss_classifier: 0.0084 (0.0106)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0045  max mem: 8505
Epoch: [9]  [1220/2250]  eta: 0:14:44  lr: 0.000005  loss: 0.0088 (0.0112)  loss_classifier: 0.0085 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0029  max mem: 8505
Epoch: [9]  [1230/2250]  eta: 0:14:36  lr: 0.000005  loss: 0.0092 (0.0112)  loss_classifier: 0.0078 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0026  max mem: 8505
Epoch: [9]  [1240/2250]  eta: 0:14:27  lr: 0.000005  loss: 0.0112 (0.0112)  loss_classifier: 0.0106 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0034  max mem: 8505
Epoch: [9]  [1250/2250]  eta: 0:14:19  lr: 0.000005  loss: 0.0119 (0.0113)  loss_classifier: 0.0115 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0028  max mem: 8505
Epoch: [9]  [1260/2250]  eta: 0:14:10  lr: 0.000005  loss: 0.0094 (0.0113)  loss_classifier: 0.0089 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0021  max mem: 8505
Epoch: [9]  [1270/2250]  eta: 0:14:01  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8562  data: 0.0016  max mem: 8505
Epoch: [9]  [1280/2250]  eta: 0:13:53  lr: 0.000005  loss: 0.0121 (0.0113)  loss_classifier: 0.0115 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0016  max mem: 8505
Epoch: [9]  [1290/2250]  eta: 0:13:44  lr: 0.000005  loss: 0.0104 (0.0113)  loss_classifier: 0.0098 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0016  max mem: 8505
Epoch: [9]  [1300/2250]  eta: 0:13:36  lr: 0.000005  loss: 0.0102 (0.0113)  loss_classifier: 0.0094 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0008  max mem: 8505
Epoch: [9]  [1310/2250]  eta: 0:13:27  lr: 0.000005  loss: 0.0112 (0.0113)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0016  max mem: 8505
Epoch: [9]  [1320/2250]  eta: 0:13:18  lr: 0.000005  loss: 0.0120 (0.0113)  loss_classifier: 0.0111 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0016  max mem: 8505
Epoch: [9]  [1330/2250]  eta: 0:13:10  lr: 0.000005  loss: 0.0119 (0.0113)  loss_classifier: 0.0116 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0016  max mem: 8505
Epoch: [9]  [1340/2250]  eta: 0:13:01  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0025  max mem: 8505
Epoch: [9]  [1350/2250]  eta: 0:12:53  lr: 0.000005  loss: 0.0106 (0.0113)  loss_classifier: 0.0096 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8579  data: 0.0025  max mem: 8505
Epoch: [9]  [1360/2250]  eta: 0:12:44  lr: 0.000005  loss: 0.0090 (0.0113)  loss_classifier: 0.0082 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8578  data: 0.0011  max mem: 8505
Epoch: [9]  [1370/2250]  eta: 0:12:35  lr: 0.000005  loss: 0.0090 (0.0113)  loss_classifier: 0.0081 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8577  data: 0.0027  max mem: 8505
Epoch: [9]  [1380/2250]  eta: 0:12:27  lr: 0.000005  loss: 0.0085 (0.0113)  loss_classifier: 0.0078 (0.0106)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8577  data: 0.0039  max mem: 8505
Epoch: [9]  [1390/2250]  eta: 0:12:18  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0098 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0035  max mem: 8505
Epoch: [9]  [1400/2250]  eta: 0:12:10  lr: 0.000005  loss: 0.0116 (0.0113)  loss_classifier: 0.0110 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0035  max mem: 8505
Epoch: [9]  [1410/2250]  eta: 0:12:01  lr: 0.000005  loss: 0.0121 (0.0113)  loss_classifier: 0.0112 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0018  max mem: 8505
Epoch: [9]  [1420/2250]  eta: 0:11:52  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0104 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8576  data: 0.0018  max mem: 8505
Epoch: [9]  [1430/2250]  eta: 0:11:44  lr: 0.000005  loss: 0.0103 (0.0113)  loss_classifier: 0.0097 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0023  max mem: 8505
Epoch: [9]  [1440/2250]  eta: 0:11:35  lr: 0.000005  loss: 0.0104 (0.0113)  loss_classifier: 0.0098 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0020  max mem: 8505
Epoch: [9]  [1450/2250]  eta: 0:11:27  lr: 0.000005  loss: 0.0113 (0.0113)  loss_classifier: 0.0108 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [1460/2250]  eta: 0:11:18  lr: 0.000005  loss: 0.0116 (0.0113)  loss_classifier: 0.0109 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0019  max mem: 8505
Epoch: [9]  [1470/2250]  eta: 0:11:09  lr: 0.000005  loss: 0.0111 (0.0113)  loss_classifier: 0.0107 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0019  max mem: 8505
Epoch: [9]  [1480/2250]  eta: 0:11:01  lr: 0.000005  loss: 0.0111 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0031  max mem: 8505
Epoch: [9]  [1490/2250]  eta: 0:10:52  lr: 0.000005  loss: 0.0114 (0.0113)  loss_classifier: 0.0107 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8565  data: 0.0031  max mem: 8505
Epoch: [9]  [1500/2250]  eta: 0:10:44  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0024  max mem: 8505
Epoch: [9]  [1510/2250]  eta: 0:10:35  lr: 0.000005  loss: 0.0099 (0.0113)  loss_classifier: 0.0094 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0031  max mem: 8505
Epoch: [9]  [1520/2250]  eta: 0:10:26  lr: 0.000005  loss: 0.0113 (0.0113)  loss_classifier: 0.0109 (0.0106)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0024  max mem: 8505
Epoch: [9]  [1530/2250]  eta: 0:10:18  lr: 0.000005  loss: 0.0116 (0.0113)  loss_classifier: 0.0111 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0024  max mem: 8505
Epoch: [9]  [1540/2250]  eta: 0:10:09  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8560  data: 0.0023  max mem: 8505
Epoch: [9]  [1550/2250]  eta: 0:10:01  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0023  max mem: 8505
Epoch: [9]  [1560/2250]  eta: 0:09:52  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0106 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0039  max mem: 8505
Epoch: [9]  [1570/2250]  eta: 0:09:43  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0106 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8562  data: 0.0031  max mem: 8505
Epoch: [9]  [1580/2250]  eta: 0:09:35  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0098 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8570  data: 0.0023  max mem: 8505
Epoch: [9]  [1590/2250]  eta: 0:09:26  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0098 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8579  data: 0.0023  max mem: 8505
Epoch: [9]  [1600/2250]  eta: 0:09:18  lr: 0.000005  loss: 0.0100 (0.0113)  loss_classifier: 0.0093 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0027  max mem: 8505
Epoch: [9]  [1610/2250]  eta: 0:09:09  lr: 0.000005  loss: 0.0115 (0.0113)  loss_classifier: 0.0110 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8563  data: 0.0035  max mem: 8505
Epoch: [9]  [1620/2250]  eta: 0:09:00  lr: 0.000005  loss: 0.0102 (0.0113)  loss_classifier: 0.0096 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0031  max mem: 8505
Epoch: [9]  [1630/2250]  eta: 0:08:52  lr: 0.000005  loss: 0.0091 (0.0113)  loss_classifier: 0.0086 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8570  data: 0.0023  max mem: 8505
Epoch: [9]  [1640/2250]  eta: 0:08:43  lr: 0.000005  loss: 0.0092 (0.0113)  loss_classifier: 0.0085 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0019  max mem: 8505
Epoch: [9]  [1650/2250]  eta: 0:08:35  lr: 0.000005  loss: 0.0095 (0.0113)  loss_classifier: 0.0090 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0027  max mem: 8505
Epoch: [9]  [1660/2250]  eta: 0:08:26  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0020  max mem: 8505
Epoch: [9]  [1670/2250]  eta: 0:08:17  lr: 0.000005  loss: 0.0121 (0.0113)  loss_classifier: 0.0114 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0013  max mem: 8505
Epoch: [9]  [1680/2250]  eta: 0:08:09  lr: 0.000005  loss: 0.0120 (0.0113)  loss_classifier: 0.0113 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0020  max mem: 8505
Epoch: [9]  [1690/2250]  eta: 0:08:00  lr: 0.000005  loss: 0.0117 (0.0113)  loss_classifier: 0.0112 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8572  data: 0.0020  max mem: 8505
Epoch: [9]  [1700/2250]  eta: 0:07:52  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8570  data: 0.0016  max mem: 8505
Epoch: [9]  [1710/2250]  eta: 0:07:43  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0097 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0025  max mem: 8505
Epoch: [9]  [1720/2250]  eta: 0:07:35  lr: 0.000005  loss: 0.0115 (0.0113)  loss_classifier: 0.0106 (0.0106)  loss_box_reg: 0.0004 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0025  max mem: 8505
Epoch: [9]  [1730/2250]  eta: 0:07:26  lr: 0.000005  loss: 0.0112 (0.0113)  loss_classifier: 0.0107 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0022  max mem: 8505
Epoch: [9]  [1740/2250]  eta: 0:07:17  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0101 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0029  max mem: 8505
Epoch: [9]  [1750/2250]  eta: 0:07:09  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0101 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0022  max mem: 8505
Epoch: [9]  [1760/2250]  eta: 0:07:00  lr: 0.000005  loss: 0.0111 (0.0113)  loss_classifier: 0.0101 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0014  max mem: 8505
Epoch: [9]  [1770/2250]  eta: 0:06:52  lr: 0.000005  loss: 0.0104 (0.0113)  loss_classifier: 0.0099 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0008  max mem: 8505
Epoch: [9]  [1780/2250]  eta: 0:06:43  lr: 0.000005  loss: 0.0098 (0.0113)  loss_classifier: 0.0091 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8578  data: 0.0023  max mem: 8505
Epoch: [9]  [1790/2250]  eta: 0:06:34  lr: 0.000005  loss: 0.0095 (0.0113)  loss_classifier: 0.0091 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0031  max mem: 8505
Epoch: [9]  [1800/2250]  eta: 0:06:26  lr: 0.000005  loss: 0.0112 (0.0113)  loss_classifier: 0.0108 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0019  max mem: 8505
Epoch: [9]  [1810/2250]  eta: 0:06:17  lr: 0.000005  loss: 0.0120 (0.0113)  loss_classifier: 0.0117 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8576  data: 0.0019  max mem: 8505
Epoch: [9]  [1820/2250]  eta: 0:06:09  lr: 0.000005  loss: 0.0120 (0.0113)  loss_classifier: 0.0117 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8568  data: 0.0016  max mem: 8505
Epoch: [9]  [1830/2250]  eta: 0:06:00  lr: 0.000005  loss: 0.0112 (0.0113)  loss_classifier: 0.0106 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0016  max mem: 8505
Epoch: [9]  [1840/2250]  eta: 0:05:51  lr: 0.000005  loss: 0.0097 (0.0113)  loss_classifier: 0.0091 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0013  max mem: 8505
Epoch: [9]  [1850/2250]  eta: 0:05:43  lr: 0.000005  loss: 0.0090 (0.0113)  loss_classifier: 0.0083 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0020  max mem: 8505
Epoch: [9]  [1860/2250]  eta: 0:05:34  lr: 0.000005  loss: 0.0106 (0.0113)  loss_classifier: 0.0100 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8582  data: 0.0025  max mem: 8505
Epoch: [9]  [1870/2250]  eta: 0:05:26  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0102 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0009  max mem: 8505
Epoch: [9]  [1880/2250]  eta: 0:05:17  lr: 0.000005  loss: 0.0095 (0.0113)  loss_classifier: 0.0091 (0.0106)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8559  data: 0.0008  max mem: 8505
Epoch: [9]  [1890/2250]  eta: 0:05:09  lr: 0.000005  loss: 0.0106 (0.0113)  loss_classifier: 0.0099 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8559  data: 0.0016  max mem: 8505
Epoch: [9]  [1900/2250]  eta: 0:05:00  lr: 0.000005  loss: 0.0120 (0.0113)  loss_classifier: 0.0115 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0015  max mem: 8505
Epoch: [9]  [1910/2250]  eta: 0:04:51  lr: 0.000005  loss: 0.0102 (0.0113)  loss_classifier: 0.0097 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0023  max mem: 8505
Epoch: [9]  [1920/2250]  eta: 0:04:43  lr: 0.000005  loss: 0.0104 (0.0113)  loss_classifier: 0.0097 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0031  max mem: 8505
Epoch: [9]  [1930/2250]  eta: 0:04:34  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8559  data: 0.0021  max mem: 8505
Epoch: [9]  [1940/2250]  eta: 0:04:26  lr: 0.000005  loss: 0.0090 (0.0113)  loss_classifier: 0.0080 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8559  data: 0.0022  max mem: 8505
Epoch: [9]  [1950/2250]  eta: 0:04:17  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0099 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8558  data: 0.0018  max mem: 8505
Epoch: [9]  [1960/2250]  eta: 0:04:08  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0099 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8565  data: 0.0017  max mem: 8505
Epoch: [9]  [1970/2250]  eta: 0:04:00  lr: 0.000005  loss: 0.0099 (0.0113)  loss_classifier: 0.0096 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0025  max mem: 8505
Epoch: [9]  [1980/2250]  eta: 0:03:51  lr: 0.000005  loss: 0.0117 (0.0113)  loss_classifier: 0.0113 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0025  max mem: 8505
Epoch: [9]  [1990/2250]  eta: 0:03:43  lr: 0.000005  loss: 0.0118 (0.0113)  loss_classifier: 0.0114 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0023  max mem: 8505
Epoch: [9]  [2000/2250]  eta: 0:03:34  lr: 0.000005  loss: 0.0132 (0.0113)  loss_classifier: 0.0125 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0020  max mem: 8505
Epoch: [9]  [2010/2250]  eta: 0:03:25  lr: 0.000005  loss: 0.0122 (0.0113)  loss_classifier: 0.0114 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8576  data: 0.0030  max mem: 8505
Epoch: [9]  [2020/2250]  eta: 0:03:17  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0105 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8580  data: 0.0025  max mem: 8505
Epoch: [9]  [2030/2250]  eta: 0:03:08  lr: 0.000005  loss: 0.0111 (0.0113)  loss_classifier: 0.0103 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0022  max mem: 8505
Epoch: [9]  [2040/2250]  eta: 0:03:00  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0097 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0031  max mem: 8505
Epoch: [9]  [2050/2250]  eta: 0:02:51  lr: 0.000005  loss: 0.0098 (0.0113)  loss_classifier: 0.0093 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0017  max mem: 8505
Epoch: [9]  [2060/2250]  eta: 0:02:43  lr: 0.000005  loss: 0.0114 (0.0113)  loss_classifier: 0.0107 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0007  max mem: 8505
Epoch: [9]  [2070/2250]  eta: 0:02:34  lr: 0.000005  loss: 0.0112 (0.0113)  loss_classifier: 0.0106 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0007  max mem: 8505
Epoch: [9]  [2080/2250]  eta: 0:02:25  lr: 0.000005  loss: 0.0098 (0.0113)  loss_classifier: 0.0091 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8565  data: 0.0008  max mem: 8505
Epoch: [9]  [2090/2250]  eta: 0:02:17  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0101 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8572  data: 0.0024  max mem: 8505
Epoch: [9]  [2100/2250]  eta: 0:02:08  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0104 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0024  max mem: 8505
Epoch: [9]  [2110/2250]  eta: 0:02:00  lr: 0.000005  loss: 0.0103 (0.0113)  loss_classifier: 0.0099 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8565  data: 0.0017  max mem: 8505
Epoch: [9]  [2120/2250]  eta: 0:01:51  lr: 0.000005  loss: 0.0113 (0.0113)  loss_classifier: 0.0110 (0.0107)  loss_box_reg: 0.0002 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0026  max mem: 8505
Epoch: [9]  [2130/2250]  eta: 0:01:42  lr: 0.000005  loss: 0.0107 (0.0113)  loss_classifier: 0.0102 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8569  data: 0.0026  max mem: 8505
Epoch: [9]  [2140/2250]  eta: 0:01:34  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0095 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0022  max mem: 8505
Epoch: [9]  [2150/2250]  eta: 0:01:25  lr: 0.000005  loss: 0.0101 (0.0113)  loss_classifier: 0.0095 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8572  data: 0.0023  max mem: 8505
Epoch: [9]  [2160/2250]  eta: 0:01:17  lr: 0.000005  loss: 0.0108 (0.0113)  loss_classifier: 0.0102 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0017  max mem: 8505
Epoch: [9]  [2170/2250]  eta: 0:01:08  lr: 0.000005  loss: 0.0097 (0.0113)  loss_classifier: 0.0093 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0014  max mem: 8505
Epoch: [9]  [2180/2250]  eta: 0:01:00  lr: 0.000005  loss: 0.0097 (0.0113)  loss_classifier: 0.0093 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8573  data: 0.0026  max mem: 8505
Epoch: [9]  [2190/2250]  eta: 0:00:51  lr: 0.000005  loss: 0.0103 (0.0113)  loss_classifier: 0.0095 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8566  data: 0.0027  max mem: 8505
Epoch: [9]  [2200/2250]  eta: 0:00:42  lr: 0.000005  loss: 0.0110 (0.0113)  loss_classifier: 0.0103 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [2210/2250]  eta: 0:00:34  lr: 0.000005  loss: 0.0109 (0.0113)  loss_classifier: 0.0098 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0030  max mem: 8505
Epoch: [9]  [2220/2250]  eta: 0:00:25  lr: 0.000005  loss: 0.0103 (0.0113)  loss_classifier: 0.0097 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8575  data: 0.0023  max mem: 8505
Epoch: [9]  [2230/2250]  eta: 0:00:17  lr: 0.000005  loss: 0.0106 (0.0113)  loss_classifier: 0.0100 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0017  max mem: 8505
Epoch: [9]  [2240/2250]  eta: 0:00:08  lr: 0.000005  loss: 0.0105 (0.0113)  loss_classifier: 0.0099 (0.0107)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8574  data: 0.0023  max mem: 8505
Epoch: [9]  [2249/2250]  eta: 0:00:00  lr: 0.000005  loss: 0.0109 (0.0113)  loss_classifier: 0.0105 (0.0106)  loss_box_reg: 0.0003 (0.0003)  loss_mask: 0.0000 (0.0001)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.8567  data: 0.0023  max mem: 8505
Epoch: [9] Total time: 0:32:11 (0.8583 s / it)
creating index...
index created!
Test:  [  0/250]  eta: 0:04:54  model_time: 0.5473 (0.5473)  evaluator_time: 0.0000 (0.0000)  time: 1.1767  data: 0.6294  max mem: 8505
Test:  [100/250]  eta: 0:00:52  model_time: 0.3293 (0.3297)  evaluator_time: 0.0156 (0.0096)  time: 0.3396  data: 0.0007  max mem: 8505
Test:  [200/250]  eta: 0:00:17  model_time: 0.3293 (0.3285)  evaluator_time: 0.0125 (0.0093)  time: 0.3420  data: 0.0040  max mem: 8505
Test:  [249/250]  eta: 0:00:00  model_time: 0.3293 (0.3284)  evaluator_time: 0.0155 (0.0093)  time: 0.3388  data: 0.0000  max mem: 8505
Test: Total time: 0:01:25 (0.3435 s / it)
Averaged stats: model_time: 0.3293 (0.3284)  evaluator_time: 0.0155 (0.0093)
Accumulating evaluation results...
DONE (t=0.13s).
Accumulating evaluation results...
DONE (t=0.11s).
IoU metric: bbox
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.887
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.887
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.887
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.887
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
IoU metric: segm
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.795
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.887
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.887
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.795
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.900
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.900
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.900
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.900
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000

Process finished with exit code 0