run the Visualize SparseR-CNN of codes : report bugs

[deeplearning123456]

Instructions To Reproduce the 🐛 Bug:

1. run the Visualize SparseR-CNN of codes:

   python demo/demo.py --config-file projects/SparseR-CNN/configs/sparsercnn.res50.100pro.3x.yaml --input cocodataset/test2017 --output cocodataset/save2017 --confidence-threshold 0.2 --opts MODEL.WEIGHTS output/model_final.pth

2. report bugs:

   
   [12/09 09:50:47 detectron2]: Arguments: Namespace(confidence_threshold=0.2, config_file='projects/SparseR-CNN/configs/sparsercnn.res50.100pro.3x.yaml', input=['cocodataset/test2017'], opts=['MODEL.WEIGHTS', 'output/model_final.pth'], output='cocodataset/save2017', video_input=None, webcam=False)
   Traceback (most recent call last):
   File "demo/demo.py", line 77, in <module>
   cfg = setup_cfg(args)
   File "demo/demo.py", line 23, in setup_cfg
   cfg.merge_from_file(args.config_file)
   File "/home/ubuntu/Desktop/lyq/SparseR-CNN/detectron2/config/config.py", line 54, in merge_from_file
   self.merge_from_other_cfg(loaded_cfg)
   File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/fvcore-0.1.2.post20201122-py3.6.egg/fvcore/common/config.py", line 124, in merge_from_other_cfg
   File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/yacs-0.1.8-py3.6.egg/yacs/config.py", line 217, in merge_from_other_cfg
   _merge_a_into_b(cfg_other, self, self, [])
   File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/yacs-0.1.8-py3.6.egg/yacs/config.py", line 478, in _merge_a_into_b
   _merge_a_into_b(v, b[k], root, key_list + [k])
   File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/yacs-0.1.8-py3.6.egg/yacs/config.py", line 491, in _merge_a_into_b
   raise KeyError("Non-existent config key: {}".format(full_key))
   KeyError: 'Non-existent config key: MODEL.SparseRCNN'

3、my environment
ubutu16.04+cuda10.1+anaconda 4.5.4+python 3.4+torch 1.6.0+torchvision 1.6.0+cv2 4.4.0
gpu_nums 1

[deeplearning123456]

您好，我在运行可视化代码的时候报上述错误，请问有好的解决办法吗？求助

[PeizeSun]

Hi~ We updateI the code several days ago. I guess now it is not "projects/SparseR-CNN", it is "projects/SparseRCNN"

[deeplearning123456]

Hi~ We updateI the code several days ago. I guess now it is not "projects/SparseR-CNN", it is "projects/SparseRCNN" 你好，我按照你的提示运行了这个代码： python demo/demo.py --config-file projects/SparseRCNN/configs/sparsercnn.res50.100pro.3x.yaml --input cocodataset/test2017 --output cocodataset/save2017 --confidence-threshold 0.2 --opts MODEL.WEIGHTS output/model_final.pth 但是依然报错，和上面的报的错误一样： [12/10 19:54:18 detectron2]: Arguments: Namespace(confidence_threshold=0.2, config_file='projects/SparseRCNN/configs/sparsercnn.res50.100pro.3x.yaml', input=['cocodataset/test2017'], opts=['MODEL.WEIGHTS', 'output/model_final.pth'], output='cocodataset/save2017', video_input=None, webcam=False) Traceback (most recent call last): File "demo/demo.py", line 77, in cfg = setup_cfg(args) File "demo/demo.py", line 23, in setup_cfg cfg.merge_from_file(args.config_file) File "/home/ubuntu/Desktop/lyq/SparseR-CNN/detectron2/config/config.py", line 54, in merge_from_file self.merge_from_other_cfg(loaded_cfg) File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/fvcore-0.1.2.post20201122-py3.6.egg/fvcore/common/config.py", line 124, in merge_from_other_cfg File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/yacs-0.1.8-py3.6.egg/yacs/config.py", line 217, in merge_from_other_cfg _merge_a_into_b(cfg_other, self, self, []) File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/yacs-0.1.8-py3.6.egg/yacs/config.py", line 478, in _merge_a_into_b _merge_a_into_b(v, b[k], root, key_list + [k]) File "/root/anaconda3/envs/sparse-rcnn/lib/python3.6/site-packages/yacs-0.1.8-py3.6.egg/yacs/config.py", line 491, in _merge_a_into_b raise KeyError("Non-existent config key: {}".format(full_key)) KeyError: 'Non-existent config key: MODEL.SparseRCNN'

[deeplearning123456]

请问还有别的解决的办法吗？

[PeizeSun]

I tried to reproduce your bug but I didn't reproduce it. I guess it maybe come from: (1) Your code is not the same as our updated code. (2) --input is followed by a image file, not a folder.

[deeplearning123456]

I tried to reproduce your bug but I didn't reproduce it. I guess it maybe come from: (1) Your code is not the same as our updated code. (2) --input is followed by a image file, not a folder.

Thank you for your suggestions. I found the problem is that the code I downloaded is not your latest code, and now I have run through the code. Thank you for your continued response. But I have a question I want to ask you. I want to run your model with my own data. Can you provide me with suggestions in the code modification part?