A deep learning approach to create passport size images by applying different deep learning method.
- Remove background from image
- fixed image orientation
- face alignment
- croping image from neck to top in specific ration footage**
| Before fixing orientation | After making in portrait |
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| Before fixing alignment | After fixing alignment |
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| Before removing the background | After removing the background |
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| Before making passport size | After making passport size |
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- Python == 3.8
python -m venv venv.\venv\Scripts\activate- If any problem for scripts activation
- Execute following command in administration mode
Set-ExecutionPolicy Unrestricted -Force
- Later you can revert the change
Set-ExecutionPolicy restricted -Force
- Execute following command in administration mode
python -m venv venvsource venv/bin/activate
- Library Install
tensorflow version 1.xonnxonnxruntimemtcnn
- download weight from referece project link.
It will generate the output file in temp/ folder
python inference.py
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A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes
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Smile detection using keras Smiler
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Pose estimation and matching with TensorFlow lite PoseNet model. Link