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INFO: pip is looking at multiple versions of tensorflow-intel to determine which version is compatible with other requirements. This could take a while.
ERROR: Cannot install -r .\requirements.txt (line 13), -r .\requirements.txt (line 17), -r .\requirements.txt (line 20), -r .\requirements.txt (line 23), -r .\requirements.txt (line 4), -r .\requirements.txt (line 5), -r .\requirements.txt (line 6), numpy<2 and >=1.23.5 and tensorflow because these package versions have conflicting dependencies.
The conflict is caused by:
The user requested numpy<2 and >=1.23.5
opencv-python 4.8.1.78 depends on numpy>=1.21.2; python_version >= "3.10"
opencv-python 4.8.1.78 depends on numpy>=1.23.5; python_version >= "3.11"
opencv-python 4.8.1.78 depends on numpy>=1.17.0; python_version >= "3.7"
opencv-python 4.8.1.78 depends on numpy>=1.17.3; python_version >= "3.8"
opencv-python 4.8.1.78 depends on numpy>=1.19.3; python_version >= "3.9"
onnx 1.16.0 depends on numpy>=1.20
insightface 0.7.3 depends on numpy
torchvision 0.15.2+cu118 depends on numpy
onnxruntime-gpu 1.18.0 depends on numpy>=1.26.0
opennsfw2 0.10.2 depends on numpy>=1.22.0
gfpgan 1.3.8 depends on numpy
tensorflow-intel 2.12.1 depends on numpy<=1.24.3 and >=1.22
To fix this you could try to:
1. loosen the range of package versions you've specified2. remove package versions to allow pip attempt to solve the dependency conflictERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
Clond the repository on 2024-09-18 on Windows 11 with Python 3.11.
Preparation:
When installing with
pip install -r .\requirements.txt
Installation ended with:
Full installation log: installation_log.txt
The text was updated successfully, but these errors were encountered: