We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Has anybody successfully converted the MTCNN to ONNX? Keep getting the error:
~\Anaconda3\envs\facenet\lib\site-packages\facenet_pytorch\models\utils\detect_face.py in detect_face(imgs, minsize, pnet, rnet, onet, threshold, factor, device) 81 offset += boxes_scale.shape[0] 82 ---> 83 boxes = torch.cat(boxes, dim=0) 84 image_inds = torch.cat(image_inds, dim=0) 85 RuntimeError: torch.cat(): expected a non-empty list of Tensors
The text was updated successfully, but these errors were encountered:
Any updates?
Sorry, something went wrong.
Please update if it has been solved
You need to use a real image to convert the model (preferably a face), and this error will be reported if you use the data generated by torch.randn
He is right.
so in case if the model is not good enough to detect a face it will probably throw this error?
No branches or pull requests
Has anybody successfully converted the MTCNN to ONNX?
Keep getting the error:
The text was updated successfully, but these errors were encountered: