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.gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments / IDEs
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
.vscode
.idea
*.swp
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# Memray
*.bin
memray_reports
# Mac OS
.DS_Store
# Downloads
amass_data
mujoco
assets/actionrecognition
body_models
dataset/HumanML3D
dataset/KIT-ML
dataset/Generated
dataset/HumanAct12Poses
dataset/uestc
glove
kit
save
t2m
wandb
UniversalHumanoidControl/data
UniversalHumanoidControl/pretrained
UniversalHumanoidControl/sample_data
# Specific batch scripts
scripts/PALM/legacy
scripts/PALM/02_diffusion_train_steps_mdm/pretrained/humanml_trans_enc_512/*
# Training Logs
*.err
*.out
*.sbatch
# For diffmimic
logs
diffmimic/outputs
diffmimic/.vscode
# translation
model.npz
translation/utils_smpl
.tmp/*
results/motion_im/uhc_explicit/results/5000_amass_copycat_take5_test_small.pkl_coverage_full.pkl
results/motion_im/uhc_explicit/log/log.txt
# Synthetic dataset generation, for POC
dataset/Samples_POC
.tmp_generate/hml_motion.npy
scripts/PALM/01_humanml_subset_mdm/save-exp-*
dataset/Samples_POC_large_scale
scripts/PALM/03_humanml_large_POC/save-exp*
dataset/Samples_POC_varying_lengths
dataset/Samples_POC_varying_lengths_v2
dataset/Samples_POC_varying_lengths-mini
scripts/PALM/04_POC_nearest_neighbor/save-exp*
scripts/PALM/04_POC_nearest_neighbor/motion_visuals
dataset/Samples_POC_varying_lengths_v2
scripts/PALM/05_self_consuming_loop/save-exp*
scripts/PALM/05_self_consuming_loop/v2
scripts/PALM/05_self_consuming_loop/v3
results/motion_im/uhc_implicit/log/log.txt
results/motion_im/uhc_implicit_shape/log/log.txt
scripts/PALM/06_self_consuming_loop_v3/save-exp*
scripts/PALM/06_self_consuming_loop_v3/hacky/model/generation_1/synthetic_motions
scripts/PALM/06_self_consuming_loop_v3/hacky/model/args.json
scripts/PALM/06_self_consuming_loop_v3/hacky/model/generation_1/
scripts/PALM/06_self_consuming_loop_v3/hacky/model/generation_0/args.json
dataset/HumanML3D_subset
dataset/HumanML3D_subset_*
scripts/PALM/07_sc_loop_subset/F_Subjects_1_90/
scripts/PALM/07_sc_loop_subset/save-exp-*
scripts/PALM/07_sc_loop_subset/old
scripts/PALM/07_sc_loop_subset/save-train-*
scripts/PALM/07_sc_loop_subset/save-baseline-*
scripts/PALM/08_iterative_finetuning/save-*
scripts/PALM/09_iterative_finetuning/save-*
# for visualization
visualize/to_visualize
visualize/to_visualize_v2
visualize/to_visualize_v2.zip
visualize/to_visualize_v2_old.zip
scripts/PALM/10_few_shot_iterative_finetuning/save-*
scripts/PALM/10_few_shot_iterative_finetuning/old
exp_outputs
dataset/F_Subjects_1_90
dataset/MNIST
test_videos