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View Code? Open in Web Editor NEWPyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322
PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322
Hi, thanks for code!
I have a question: why the number of patch is 1 in your code? In the original paper the number of patch es 2048 or 5k, but in training.py you defined in the líne 21 like 1?
Thanks!
Thanks for the wonderful code. But the training could not start without scene_list_{split}.txt, could you provide it?
Hi, I run this code with windows 10, vscode and the 'utils' could not be found, could you provide this module please?
Thank you!
Thanks for the excellent work!
In my training, the loss in the first epoch is about 10000, and after 20 epochs, the loss decreases to ~1000. Should we add more epochs?
Hello
When I prepared the train data using script/fuse_fragments_3DMatch.py to fuse rgbd fragments obtained an error in console:
Start making fragments
2 scenes
Start scene rgbd-scenes-v2-scene_05
1 sequences
Start seq-01
[ScalableTSDFVolume::Integrate] Unsupported image format.
[ScalableTSDFVolume::Integrate] Unsupported image format.
[ScalableTSDFVolume::Integrate] Unsupported image format.
[ScalableTSDFVolume::Integrate] Unsupported image format.
...
[ScalableTSDFVolume::Integrate] Unsupported image format.
Write PLY failed: point cloud has 0 points.
Finished seq-01
Finished scene rgbd-scenes-v2-scene_06
Finished making fragments
And I don't find the .ply files with the points clouds
Hello! thanks for sharing your codes. I have a question that I don't know which api or function in your codes to use to feed my own .ply file into the pretrained model in the pretrained directory. I want to test the model to have a more clear understanding about the Encode and Decode process. Hope you can get me some tips, thanks a lot.
Hello, what is the data input to the network during the test model phase? Original point or ppfs?
hello
Rencently i try to read evaluate_ppfnet.py, however i can't find how to generate the corresponding gt.log. Does this file need to download or run other .py files to get?
Thanks for your implementation of PPF-FoldNet.
I am curious about how to generate the keypoints in intermediate files. Are these keypoints generated by your algorithms or provided by 3DMatch?
Best,
Yoking
文件夹里没有这个./data/3DMatch/rgbd_fragments/scene_list_train.txt" 文件
Traceback (most recent call last):
File "input_preparation.py", line 172, in
with open("./data/3DMatch/rgbd_fragments/scene_list_train.txt") as f:
FileNotFoundError: [Errno 2] No such file or directory: './data/3DMatch/rgbd_fragments/scene_list_train.txt'
When I run your code, my computer crashed and rebooted at line trainer.py/self.evaluate(0). I suspected it might relate to the conflict of some packages. Could you provide a complete list of your package versions? Such as PyTorch, tensorboardX, ect.? And your cuda and nvidia driver versions?
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