cd TexHOI-stage2
conda env create -f environment2.yml
conda activate texhoi_stage2
cd code
python training/exp_render.py --conf confs_sg/default.conf \
--data_split_dir ../../example_data/shsu10 \
--expname ShSu10 \
--gamma 1.0 \
--is_continue \
--timestamp example
See the output in TexHOI-stage2/exps/default-ShSu10/{current_timestamp}/plots
Download HO3D version 3 data from here and store as follows:
ho3d
{root}/ho3d/{seq_name}
{root}/ho3d/{seq_name}/rgb
{root}/ho3d/{seq_name}/meta
{root}/ho3d/{seq_name}/seg
You get
rgb
from rgb
folder
meta
from meta
folder
and seg
from meta pickle files.
cd TexHOI-stage1
conda env create -f environment1.yml
cd ..
cd TexHOI-stage2
conda env create -f environment2.yml
cd ..
seq_name=ShSu10 # Sequence folder name from HO3D training data
conda activate texhoi_stage1
python process_ho3d_stage1.py {seq_name}
cd TexHOI_stage-1/code
python train.py --case hold_{seq_name}_ho3d --num_epoch 200 --shape_init 5c09be8ac --eval_every_epoch 1 --num_sample 64
RENAME recent log folder as {seq_name}
python render.py --case hold_{seq_name}_ho3d --num_epoch 200 --shape_init 5c09be8ac --eval_every_epoch 1 --num_sample 64 --render_downsample 1 --agent_id -1 --load_ckpt logs/{seq_name}/checkpoints/last.ckpt
python implicit_seperate.py {seq_name}
python process_ho3d_stage2.py {seq_name}
cd TexHOI_stage-2/code
conda deactivate
conda activate texhoi_stage1
python training/exp_runner.py --conf confs_sg/default.conf --data ../../example_data/{seq_name} --expname {seq_name} --nepoch 2000 --max_niter 2000001 --gamma 1.0
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.