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Training the Volumetric model

See original GitHub issue

Hello,

I have pre-processed the Human3.6M dataset according to your given manual. However, when I try to train the volumetric model, I face this problem:

Exception has occurred: AssertionError File "/media/saman/storage_device/ubuntu/learnable-triangulation/mvn/datasets/human36m.py", line 111, in __init__ assert len(self.keypoints_3d_pred) == len(self) File "/media/saman/storage_device/ubuntu/learnable-triangulation/train.py", line 65, in setup_human36m_dataloaders crop=config.dataset.train.crop if hasattr(config.dataset.train, "crop") else True, File "/media/saman/storage_device/ubuntu/learnable-triangulation/train.py", line 115, in setup_dataloaders train_dataloader, val_dataloader, train_sampler = setup_human36m_dataloaders(config, is_train, distributed_train) File "/media/saman/storage_device/ubuntu/learnable-triangulation/train.py", line 446, in main train_dataloader, val_dataloader, train_sampler = setup_dataloaders(config, distributed_train=is_distributed) File "/media/saman/storage_device/ubuntu/learnable-triangulation/train.py", line 485, in <module> main(args)

It seems thet len(self)=389938 while len(self.keypoints_3d_pred)=159181

Thank you for helping me!

Issue Analytics

State:
Created 4 years ago
Comments:7 (1 by maintainers)

Top GitHub Comments

1reaction

samvafcommented, Oct 24, 2019

Hello @karfly,

Thank you for your reply.

If the problem is the number of frames, I am going to double-check the procedure which I have done to pre-process the Human3.6M.

0reactions

dulibubaicommented, Oct 27, 2019

@myshli, Hi!,you can take the source code about processing Human3.6M dataset to judge the form of Human3.6M. I dont’t have the dataset ,either. I am trying do so! It’s not hard.

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