Hi Tony607,
Thank you for this mmdetection object detection demo. I got an issue when running the demo: !python tools/train.py {config_fname}
got these errors:
2019-10-02 09:08:06,271 - INFO - Distributed training: False
2019-10-02 09:08:06,683 - INFO - load model from: modelzoo://resnet50
/usr/local/lib/python3.6/dist-packages/mmcv/runner/checkpoint.py:155: UserWarning: The URL scheme of "modelzoo://" is deprecated, please use "torchvision://" instead
warnings.warn('The URL scheme of "modelzoo://" is deprecated, please '
2019-10-02 09:08:06,985 - WARNING - The model and loaded state dict do not match exactly
unexpected key in source state_dict: fc.weight, fc.bias
2019-10-02 09:08:09,667 - INFO - Start running, host: root@aac8453041fd, work_dir: /content/mmdetection_object_detection_demo/mmdetection/work_dirs/faster_rcnn_r50_fpn_1x_voc0712
2019-10-02 09:08:09,668 - INFO - workflow: [('train', 1)], max: 8 epochs
Traceback (most recent call last):
File "tools/train.py", line 98, in
main()
File "tools/train.py", line 94, in main
logger=logger)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/apis/train.py", line 62, in train_detector
_non_dist_train(model, dataset, cfg, validate=validate)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/apis/train.py", line 223, in _non_dist_train
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
File "/usr/local/lib/python3.6/dist-packages/mmcv/runner/runner.py", line 358, in run
epoch_runner(data_loaders[i], **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mmcv/runner/runner.py", line 264, in train
self.model, data_batch, train_mode=True, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/apis/train.py", line 40, in batch_processor
losses = model(**data)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 547, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
return self.module(*inputs[0], **kwargs[0])
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 547, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/core/fp16/decorators.py", line 49, in new_func
return old_func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/models/detectors/base.py", line 86, in forward
return self.forward_train(img, img_meta, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/models/detectors/two_stage.py", line 108, in forward_train
*rpn_loss_inputs, gt_bboxes_ignore=gt_bboxes_ignore)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/models/anchor_heads/rpn_head.py", line 51, in loss
gt_bboxes_ignore=gt_bboxes_ignore)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/core/fp16/decorators.py", line 127, in new_func
return old_func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/models/anchor_heads/anchor_head.py", line 179, in loss
sampling=self.sampling)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/core/anchor/anchor_target.py", line 63, in anchor_target
unmap_outputs=unmap_outputs)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/core/utils/misc.py", line 24, in multi_apply
return tuple(map(list, zip(*map_results)))
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/core/anchor/anchor_target.py", line 108, in anchor_target_single
cfg.allowed_border)
File "/usr/local/lib/python3.6/dist-packages/mmdet-0.6.0+5b9c5dd-py3.6-linux-x86_64.egg/mmdet/core/anchor/anchor_target.py", line 169, in anchor_inside_flags
(flat_anchors[:, 2] < img_w + allowed_border) &
RuntimeError: Expected object of scalar type Byte but got scalar type Bool for argument #2 'other'
Do you have any hints to fix it out?
@mejihero Did you find a fix for this bug? I am having the same problem...
Tony607
