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Installing on windows is not as easy as it seems. You can go the hard way, that will require to compile some sources ad therefore install the copilation tools. Or you can try an easier way, but by being not totally up to date with the tools.
Run pip install scikit_image‑0.13.1‑cp36‑cp36m‑win_amd64.whl
Then run pip install dlib==19.7.0 (this is not the latest, but it is precompiled)
Then run pip install -r .\requirements-gpu.txt
The requirements should go straightforward as the 2 big painful dependencies are already installed. If you get No matching distribution found for tensorflow-gpu, it means you have the 32bit version!
The text was updated successfully, but these errors were encountered:
Installing on windows is not as easy as it seems. You can go the hard way, that will require to compile some sources ad therefore install the copilation tools. Or you can try an easier way, but by being not totally up to date with the tools.
My experience on it is as follow:
scikit_image‑0.13.1‑cp36‑cp36m‑win_amd64.whl
filepip install scikit_image‑0.13.1‑cp36‑cp36m‑win_amd64.whl
pip install dlib==19.7.0
(this is not the latest, but it is precompiled)pip install -r .\requirements-gpu.txt
The requirements should go straightforward as the 2 big painful dependencies are already installed. If you get
No matching distribution found for tensorflow-gpu
, it means you have the 32bit version!The text was updated successfully, but these errors were encountered: