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Evaluation

Prerequirement

Make sure you have already generated all the required synthetic data (refer to Dataset Instruction) under ./data/thuman2_{num_views}views, which includes the rendered RGB (render/), normal images(normal_B/, normal_F/, T_normal_B/, T_normal_F/), corresponding calibration matrix (calib/) and pre-computed visibility arrays (vis/).

⚠️ Don't support headless mode currently, unset PYOPENGL_PLATFORM before training.

Command

conda activate icon

# ICON w/ filter
CUDA_VISIBLE_DEVICES=0 python -m apps.train -cfg ./configs/train/icon-filter.yaml -test

# ICON w/o filter
CUDA_VISIBLE_DEVICES=0 python -m apps.train -cfg ./configs/train/icon-nofilter.yaml -test

# PIFu* (*: re-implementation)
CUDA_VISIBLE_DEVICES=0 python -m apps.train -cfg ./configs/train/pifu.yaml -test

# PaMIR* (*: re-implementation)
CUDA_VISIBLE_DEVICES=0 python -m apps.train -cfg ./configs/train/pamir.yaml -test

The qualitative results are located at ./results/