Small fix to prevent issues when using a gpu. #228
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Hello! Awesome lib!
In the current version of the code, I get a
TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.I isolated this issue to this line:facenet-pytorch/models/utils/detect_face.py
Line 376 in 8ee5326
When
faceis already a gpu tensor, there's no need to convert to anparray and then to atensor. LMK if this looks good to you or if you'd want to change something.