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4D & 3D Human Body Reconstruction on Videos

Open In Colab

Source Video Recounstruction Video
rio.mp4
download.1.mp4

You can Find More Outputs Here :More Outputs

Installation and Setup

First, clone the repo. Then, we recommend creating a clean conda environment, installing all dependencies, and finally activating the environment, as follows:

git clone https://github.com/saba99/4D_HumanBodyReconstructing.git
cd  4D_HumanBodyReconstructing
pip install numpy==1.23.1 torch
pip install -e .[all]

Run

# Run on video file
python track.py video.source="example_data/videos/gymnasts.mp4"

# Run on extracted frames
python track.py video.source="/path/to/frames_folder/"

# Run on a youtube link (depends on pytube working properly)
python track.py video.source=\'"https://www.youtube.com/watch?v=xEH_5T9jMVU"\'

Training

Download the training data to ./hmr2_training_data/, then start training using the following command:

bash fetch_training_data.sh
python train.py exp_name=hmr2 data=mix_all experiment=hmr_vit_transformer trainer=gpu launcher=local

Evaluation

Download the evaluation metadata to ./hmr2_evaluation_data/. Additionally, download the Human3.6M, 3DPW, LSP-Extended, COCO, and PoseTrack dataset images and update the corresponding paths in hmr2/configs/datasets_eval.yaml.

Run evaluation on multiple datasets as follows, results are stored in results/eval_regression.csv.

python eval.py --dataset 'H36M-VAL-P2,3DPW-TEST,LSP-EXTENDED,POSETRACK-VAL,COCO-VAL'