timesler
facenet-pytorch 2.6.0 requires torch<2.3.0,>=2.2.0, but you have torch 2.3.1 which is incompatible.
Is it possible to support torch 2.3.1? Thanks
That would be great. Now it is not usable in combination with models that need torch > 2.3.0.
Hello. I tried running the tests with a version which increases the dependent pytorch version. Here's a PR
I was able to tests locally with the changes.
facenet-pytorch 2.6.0 has requirement Pillow<10.3.0,>=10.2.0, but you have pillow 10.3.0. facenet-pytorch 2.6.0 has requirement torch<2.3.0,>=2.2.0, but you have torch 2.4.0+cu124. facenet-pytorch 2.6.0 has requirement torchvision<0.18.0,>=0.17.0, but you have torchvision 0.19.0+cu124.
how to solve this problem? upgrade the version of torch? my cuda is 11.6，should i get cuda at least 11.8 to install torch>=2.2.0?
Running into this limitation as well, it would be great to use a more modern version of both pytorch and pillow
