Comments (6)
The above error occurred due to the lack of ground truth of 3D objects.
The code for Uniformity can be found in https://github.com/liruihui/PU-GAN.
The code for Consistency can be implemented by yourself. It is easy, isn't it?
You can generate the prediction for KITTI with the following commands:
python runner.py --inference --weights /path/to/pretrained/model
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The above error occurred due to the lack of ground truth of 3D objects.
The code for Uniformity can be found in https://github.com/liruihui/PU-GAN.
The code for Consistency can be implemented by yourself. It is easy, isn't it?You can generate the prediction for KITTI with the following commands:
python runner.py --inference --weights /path/to/pretrained/model
OK, thank you very much!
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Hi @zhangyanan0306 Did you successfully run the uniformity evaluation? The code (https://github.com/liruihui/PU-GAN) requires a mesh input, but now we only have point cloud results as well as point gt.
@hzxie Would you please share the uniformity code for testing on KITTI? Thanks!
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@zhangmozhe
Please refer to liruihui/PU-GAN#18
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@zhangmozhe
Please refer to liruihui/PU-GAN#18
Their code requires mesh as input. Then how to compute the metric if we only have the point cloud ground truth? Thanks.
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The code for uniformity is available in #20.
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Related Issues (20)
- [Open3D WARNING] Read PCD failed: unable to open file HOT 1
- How can I visualize the result after the gridding? HOT 1
- Error in Extensions HOT 1
- error in 'pip install -r requirements.txt' HOT 1
- gridding loss HOT 2
- 关于pcn数据集 HOT 2
- unable to download shapenet completion dataset HOT 1
- “bits/stdc++.h”: No such file or directory HOT 5
- 'cl.exe' failed with exit status 2 when compiling the extension HOT 4
- How do I run this with my own data and just infer? HOT 3
- How to download pre trained models? HOT 1
- memory leak in the training code HOT 4
- If I want to train the model at 2048, may I ask where I need to modify it. HOT 2
- How do I run this network with my own collected data? HOT 1
- How to get partial pcd from original KITTI dataset HOT 3
- Training Error: TypeError: Cannot handle this data type: (1, 1, 800), |u1 HOT 2
- Error in gridding_cuda_forward: an illegal memory access was encountered HOT 2
- chamfer_dist compile for sm_90 GPU architecture HOT 1
- Multiprocessing ConnectionResetError: [Errno 104] Connection reset by peer HOT 1
- Environmental configuration HOT 1
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