Task4

2020-05-29 12:33:13,766 maskrcnn_benchmark.utils.miscellaneous INFO: Saving labels mapping into output\labels.json
2020-05-29 12:33:13,814 maskrcnn_benchmark.trainer INFO: Start training
Traceback (most recent call last):
File "tools/train_net.py", line 201, in
main()
File "tools/train_net.py", line 194, in main
model = train(cfg, args.local_rank, args.distributed)
File "tools/train_net.py", line 94, in train
arguments,
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\engine\trainer.py", line 85, in do_train
loss_dict = model(images, targets)
File "C:\Users\OceanOptic\Anaconda3\envs\test\lib\site-packages\torch\nn\modules\module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "C:\Users\OceanOptic\Anaconda3\envs\test\lib\site-packages\apex-0.1-py3.6.egg\apex\amp_initialize.py", line 204, in new_fwd
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\modeling\detector\generalized_rcnn.py", line 50, in forward
proposals, proposal_losses = self.rpn(images, features, targets)
File "C:\Users\OceanOptic\Anaconda3\envs\test\lib\site-packages\torch\nn\modules\module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\modeling\rpn\rpn.py", line 159, in forward
return self._forward_train(anchors, objectness, rpn_box_regression, targets)
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\modeling\rpn\rpn.py", line 178, in _forward_train
anchors, objectness, rpn_box_regression, targets
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\modeling\rpn\loss.py", line 115, in call
labels, regression_targets = self.prepare_targets(anchors, targets)
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\modeling\rpn\loss.py", line 86, in prepare_targets
matched_targets.bbox, anchors_per_image.bbox
File "C:\Users\OceanOptic\maskrcnn-benchmark\maskrcnn_benchmark\modeling\box_coder.py", line 45, in encode
targets_dx = wx * (gt_ctr_x - ex_ctr_x) / ex_widths
RuntimeError: The size of tensor a (0) must match the size of tensor b (214830) at non-singleton dimension 0