The following issue arises with insightface==0.6.2 or below, including the recommended version (0.2.1).
ValueError: This ORT build has ['AzureExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['AzureExecutionProvider', 'CPUExecutionProvider'], ...)
The following issue arises with `insightface==0.6.2` or below, including the recommended version (0.2.1).
```
ValueError: This ORT build has ['AzureExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['AzureExecutionProvider', 'CPUExecutionProvider'], ...)
```
See:
- #445
This issue is fixed by upgrading to `insightface==0.7` or above, but the following issue arises.
```
TypeError: RetinaFace.detect() got an unexpected keyword argument 'threshold'
```
This pull request fixes this second issue, which allows to use the latest version of `insightface` (0.7.3).
Fix:
- #139
- #407
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
Otherwise you get the main branch, which is an exact copy of the official SimSwap.
> !git clone https://github.com/woctezuma/SimSwap.git I have used insightface==0.7.3
You should **use the branch which incorporates the fix**.
```bash
!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?
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 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. 😛
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:
https://github.com/neuralchen/SimSwap/blob/a5f6dea67398eec9ee71e156f7ad15dbd7ce4977/test_wholeimage_swapsingle.py#L55-L56
---
NB: `antelope.zip` contains a file hinting at [SCRFD](https://github.com/deepinsight/insightface/tree/master/model_zoo#22-scrfd) for detection:
- `glintr100.onnx` **recognition**
- `scrfd_10g_bnkps.onnx` **detection**
based on the outputs found in [Colab](https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/SimSwap%20colab.ipynb):
```
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.
https://github.com/neuralchen/SimSwap/blob/a5f6dea67398eec9ee71e156f7ad15dbd7ce4977/insightface_func/face_detect_crop_single.py#L41-L43
https://github.com/neuralchen/SimSwap/blob/a5f6dea67398eec9ee71e156f7ad15dbd7ce4977/insightface_func/face_detect_crop_single.py#L47-L48
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The following issue arises with
insightface==0.6.2or below, including the recommended version (0.2.1).See:
This issue is fixed by upgrading to
insightface==0.7or above, but the following issue arises.This pull request fixes this second issue, which allows to use the latest version of
insightface(0.7.3).Fix:
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
You should use the branch which incorporates the fix.
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?
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:TO
face_detect_crop_single.pyis same.Yes, that is partially what I did:
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.
https://github.com/deepinsight/insightface/blob/c2db41402c627cab8ea32d55da591940f2258276/python-package/insightface/model_zoo/scrfd.py#L85C1-L85C1
https://github.com/neuralchen/SimSwap/blob/a5f6dea67398eec9ee71e156f7ad15dbd7ce4977/test_wholeimage_swapsingle.py#L55-L56
NB:
antelope.zipcontains a file hinting at SCRFD for detection:glintr100.onnxrecognitionscrfd_10g_bnkps.onnxdetectionbased on the outputs found in Colab:
So the detection model is SCRFD.
https://github.com/neuralchen/SimSwap/blob/a5f6dea67398eec9ee71e156f7ad15dbd7ce4977/insightface_func/face_detect_crop_single.py#L41-L43
https://github.com/neuralchen/SimSwap/blob/a5f6dea67398eec9ee71e156f7ad15dbd7ce4977/insightface_func/face_detect_crop_single.py#L47-L48
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