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Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

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Hello Thank you for the excellent work I wander to know the differences between the "J_regressor_extra" and "J_regressor_h36m" Does this difference will affect the performance or correctness of the training...

enhancement

how to fix : Traceback (most recent call last): File "lib/utils/fbx_output.py", line 295, in if not input_path.startswith(os.path.sep): NameError: name 'input_path' is not defined

enhancement

I understand that your method uses SMPL to generate the 3D model. I wonder if I can replace it with my own mesh model since I want to use a...

enhancement

Thanks @ZhangHedongTimesand @SatoshiYamazaki for the discussion: https://github.com/mkocabas/VIBE/issues/154 I fixed these bugs and summarized here. PoseTrack: Replace [kp_2d = convert_kps(kp_2d, src=self.dataset_name, dst='spin')](https://github.com/mkocabas/VIBE/blob/master/lib/dataset/dataset_2d.py#L68.) with `kp_2d = np.copy(self.db['joints2D'][start_index:end_index+1])` PennAction: When I visualized the...

bug

when i am training with 'PennAction' or 'PoseTrack' dataset , i always get a result" MPJPE error is 189.0999972820282, higher than 80. Exiting!..." 。 Is there some bug with the...

enhancement

There is no place in the code to calculate pck, can you describe in detail how pck is calculated?

Hello! I'm executing the project in Google Colab. However, the data failed to download at: `!source scripts/prepare_data.sh` Below is the error message: ``` # Download pretrained weights and SMPL data...

bug

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.4 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Hi, thank u for the good work and for sharing the code I want to train the model on posetrack and amass but I get errors where the code need...

The original paper result (56.1) may be right. Hope this can help you guys!

enhancement