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Excuse me. I have a problem when I run the program in Linux with command
`python inference.py --driven_audio ./examples/driven_audio/RD_Radio31_000.wav --source_image ./examples/source_image/full_b…
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The library right now works great for detecting faces, but the landmarks are clearly poorly trained. They are by no means accurate and are often not even close to being in the right spot.
I had a l…
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When running the code it is unfortunately not using GPU, and fails at this stage.
```
landmark Det:: 0%| | …
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You have mentioned you have used W300 data-set for training . But, that data-set contains only 68 landmarks points for each face. They have not provided head pose data. How did you solve this issue?
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As now there is a sample head position estimation and face landmark detection, I was wondering is there any plan to add gaze estimation module to Dlib library?
following repositories can be useful …
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Can anyone help me solve this problem
*** Error running postprocess_image: G:\novelai-webui-aki-v2\extensions\sd-webui-roop\scripts\faceswap.py
Traceback (most recent call last):
File "G:…
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```
// fdata is a PXCMFaceData instance
Int32 nfaces=fdata.QueryNumberOfDetectedFaces();
for (Int32 i=0;i
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**Describe the bug**
My face stops being recognised at very small pitch down angles..
**To Reproduce**
Start tracker
Landmark stabilization is on.
**Expected behavior**
My face should be t…
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**Is your feature request related to a problem? Please describe.**
I want to add a feature for detecting nervousness in the project that utilizes OpenCV as the primary computer vision library. The f…
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Using butterfly module for interference. A custom dataset trained with 292 landmark points.
> input node: butterfly/image_tensor
> output_node: butterfly/layer6/final_dense
> image = cv2.…