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setup.py
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setup.py
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"""Setup file for dannce."""
from setuptools import setup, find_packages
setup(
name="dannce",
version="1.3.0r",
packages=find_packages(),
install_requires=[
"six",
"pyyaml",
"imageio==2.8.0",
"imageio-ffmpeg",
"numpy>1.19.0",
"scikit-image",
"matplotlib",
"attr",
"attrs",
"multiprocess",
"opencv-python",
'tensorboard',
"mat73",
"psutil",
"tqdm",
],
# scripts=[],
entry_points={
"console_scripts": [
"dannce-predict-sbatch = dannce.cli:sbatch_dannce_predict_cli",
"dannce-train-sbatch = dannce.cli:sbatch_dannce_train_cli",
"com-predict-sbatch = dannce.cli:sbatch_com_predict_cli",
"com-train-sbatch = dannce.cli:sbatch_com_train_cli",
"dannce-train = dannce.cli:dannce_train_cli",
"custom-train = dannce.cli:custom_model_train_cli",
"custom-predict = dannce.cli:custom_model_predict_cli",
"dannce-train-grid = cluster.grid:dannce_train_grid",
"dannce-predict = dannce.cli:dannce_predict_cli",
"com-train = dannce.cli:com_train_cli",
"com-predict = dannce.cli:com_predict_cli",
"dannce-predict-multi-gpu = cluster.multi_gpu:dannce_predict_multi_gpu",
"com-predict-multi-gpu = cluster.multi_gpu:com_predict_multi_gpu",
"dannce-predict-single-batch = cluster.multi_gpu:dannce_predict_single_batch",
"dannce-train-single-batch = cluster.grid:dannce_train_single_batch",
"com-predict-single-batch = cluster.multi_gpu:com_predict_single_batch",
"dannce-merge = cluster.multi_gpu:dannce_merge",
"com-merge = cluster.multi_gpu:com_merge",
"dannce-inference-sbatch = cluster.multi_gpu:submit_inference",
"dannce-inference = cluster.multi_gpu:inference",
"dannce-multi-instance-inference = cluster.multi_gpu:multi_instance_inference",
]
},
)