SuLi
SuLi
Hello, It's a great job. However, I encountered a problem when using 3D-CODED(from tag v2.0.0 ) to train unsupervised model. I can't get the same ideal result as in the...
Hello, Thanke you for your work! When I use it, I find that although I fixed the seed points of torch and numpy, the chamfer distance still makes the results...
Hello,first thanks for your codes,and when I run the test code I get an error like this.I don't know where is wrong deep_cage$ python cage_deformer_3d.py --dataset SHAPENET --full_net --bottleneck_size 256...
Hello, thank you for your nice work. And, when I test FAUST dataset, I get some error. like this.   it is test_scans_135.ply Do I need to preprocess the...
Traceback (most recent call last): File "train_PartSpecificNet.py", line 128, in checkpoint_number=args.checkpoint_number, split_file=args.split_file) File "train_PartSpecificNet.py", line 65, in main trainer.train_model(epochs) File "/home/djq19/workfiles/LoopReg/models/trainer.py", line 377, in train_model for n, batch in enumerate(loop):...