Can confirm, fix works :)

Again getting the same error "RetinaFace.detect() got an unexpected keyword argument 'threshold'". Can you share your .ipynb file?

!git clone https://github.com/woctezuma/SimSwap.git
I have used insightface==0.7.3

!git clone https://github.com/woctezuma/SimSwap.git I have used insightface==0.7.3

You should use the branch which incorporates the fix.

!git clone https://github.com/woctezuma/SimSwap.git --branch upgrade-insightface --single-branch

Otherwise you get the main branch, which is an exact copy of the official SimSwap.

Ok thank you, It works like a charm. It is 9 commits behind, will you update it?

Ok thank you, It works like a charm. It is 9 commits behind, will you update it?

I can do that, but there is no much point: only the README and the notebook were modified in the 9 commits, so no Python code.

Edit: Done this time, but the point of this branch is that the pull request could be merged in the official repository, not to maintain it whenever there is a new update in the official repository. 😛

ok
Thanks by the way.

In the latest insightface version, delete line 65 of insightface_func/face_detect_crop_multi.py:

        bboxes, kpss = self.det_model.detect(img,
                                             threshold=self.det_thresh, <---remove this LINE
                                             max_num=max_num,
                                             metric='default')

TO

        bboxes, kpss = self.det_model.detect(img,
                                             max_num=max_num,
                                             metric='default')

face_detect_crop_single.py is same.

Yes, that is partially what I did:

• https://github.com/neuralchen/SimSwap/pull/447/files

In the latest insightface version, delete line 65 of insightface_func/face_detect_crop_multi.py:

If you only do that, then you cannot specify the detection threshold. For instance, the default value (0.5) is used instead of 0.6.

• 0.5 default for SCRFD:

https://github.com/deepinsight/insightface/blob/c2db41402c627cab8ea32d55da591940f2258276/python-package/insightface/model_zoo/scrfd.py#L85C1-L85C1

• 0.6:

NB: antelope.zip contains a file hinting at SCRFD for detection:

• glintr100.onnx recognition
• scrfd_10g_bnkps.onnx detection

based on the outputs found in Colab:

find model: ./insightface_func/models/antelope/glintr100.onnx recognition
find model: ./insightface_func/models/antelope/scrfd_10g_bnkps.onnx detection

So the detection model is SCRFD.