Here we show how we personalize on IH and render with seen IH environment and novel poses for evaluation.
First, we need to prepare IH sequences in PALM-Net format. Follow the instructions at generator/README.md. Then put those IH sequences under ./load/personalize/*.
To personalize on a single image from an IH sequence (ih_c0_ROM03_RT_No_Occlusion_cam400262 for example) using our prior 0301-1442-124.zip, you can run:
./run_personalize.sh ih_c0_ROM03_RT_No_Occlusion_cam400262 exp/0301-1442-124/ckpt/0/epoch=0-step=24000.ckptAfter personalizing on all images, you use ./run_render_interhand_all.sh to render all sequences. Update the shape_code_basis_path, appearance_code_basis_path, and the new checkpoint paths accordingly.
./run_render_interhand_all.shAfter rendering the sequences, you will find the sequence name and experiement ID at ./exp_ids.txt.
To evaluate, run:
python eval_seen_env.pyNote that, the evaluation script takes in the entries at ./exp_ids.txt, so you need to remove any entry in ./exp_ids.txt that are not related to evaluation (for example, failed rendering checkpoints).