Add environment configuration for PyTorch and harvest dependencies
- Created `environment_pytorch.yml` to define the conda environment for PyTorch with GPU support, including necessary packages like GDAL and SentinelHub. - Added `requirements_harvest.txt` for Python package dependencies related to data harvesting, including PyTorch, Pandas, NumPy, and others.
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python_app/environment_pytorch.yml
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python_app/environment_pytorch.yml
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name: pytorch_gpu
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channels:
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- pytorch
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- nvidia
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- conda-forge
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dependencies:
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- python=3.10
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- pytorch::pytorch
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- pytorch::torchvision
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- pytorch::torchaudio
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- pytorch::pytorch-cuda=11.8
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- gdal>=3.7.0
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- pip
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- pip:
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- sentinelhub>=3.9.0
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- shapely>=2.0.0
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- pyproj>=3.4.0
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python_app/requirements_harvest.txt
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python_app/requirements_harvest.txt
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torch>=2.0.0
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pandas>=1.5.0
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numpy>=1.23.0
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scikit-learn>=1.3.0
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GDAL>=3.7.0
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sentinelhub>=3.9.0
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shapely>=2.0.0
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pyproj>=3.4.0
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