Predicting 3D-Human Meshes from RGB images - a parametric and non parametric approach

Codebase of my Bachelor Thesis Project of "Predicting 3D-Human Meshes from RGB images - a parametric and non parametric approach". Supervisor: Prof. Andreas Schilling, University of Tübingen, Visual Computation

Requirements

• Python 3.9.5
• Pytorch 1.9.0
• Torchvision 0.10.0

Installation (using conda)

2. Install Pytorch and Torchvision

$ conda install pytorch torchvision torchaudio -c pytorch

3. Install Requirements

$ pip install -r requirements.txt

Start Training:

Model 1: Parametric Model

$ python start_train_fulldata_param.py --cfg ./configs/experiments/seq_zarr_resnet34_ep50.yaml

Model 2.1: Non-Parametric Model

$ python start_train_seq_fulldata_non_param.py --cfg ./configs/experiments/seq_zarr_resnet34_ep50.yaml

Model 2.1: Non-Parametric Model, extended

$ python start_train_seq_fulldata_non_param_ext.py --cfg ./configs/experiments/seq_zarr_resnet34_ep50.yaml