Comments (1)
Thanks for your interest in our work. We've modified the code and you can pull the recent release. The NaN problem sometimes occurs when no valid proposal is detected in HDN, resulting in computing loss between None tensors. We have added a conditional expression to solve this problem.
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Related Issues (20)
- Did not find the Loss_off defined in Eq(3) HOT 1
- 使用gtx 3080 ti 训练 campus数据集时,batch=1 仍然 out of memory HOT 2
- Anyone can tell me about train time? HOT 1
- Training Error HOT 1
- 3D Pose visualization HOT 2
- How do I make predictions on my own dataset? HOT 2
- Questions about "save_debug_2d_images" function HOT 1
- Hello, if I want to input is a video file for estimation, what changes need to be made? HOT 1
- CampusSeq数据的一些问题 HOT 1
- Number of cameras HOT 1
- How did you fine-tune the backbone? HOT 1
- I don't know why the performance is slightly lower when I execute the code following Readme. HOT 4
- visualize HOT 3
- Defining own testcase HOT 5
- Where can I find pretrained backbone for Shelf/Campus data? HOT 1
- RuntimeError: CUDA out of memory
- How should I run the model in real-time through the camera
- The visualization is wrong with the line camera[curr_seq][c] and curr_seq and c are both 01234 but the second parameter should be a letter like k for the shelf camera settings.
- visualization
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