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Create a morphing sequences betwen two faces.

Input: Two images containing faces
Output: A video showing the fluid transformation from one face to the other

pip install imutils pip install opencv-python python -m pip install -U scikit-image conda install -c conda-forge dlib 

 python3 code/__init__.py --img1 2.png --img2 3.png --output output.mp4 ffmpeg -i g7.mp4 -filter:v "setpts=0.6*PTS" 6XX.mp4 2x video // ffmpeg -i gogh.mp4 -filter:v "setpts=0.5*PTS" 2X.mp4 //extract images from video // ffmpeg -i 2X.mp4 -r 6 s/output_%04d.png 

Generate a morphing animation video sequence

python3 code/__init__.py --img1 images/aligned_images/jennie.png --img2 images/aligned_images/rih.png --output output.mp4 

1. Put your images in Images folder

2. Auto align faces with python code/utils/align_images.py images/ images/aligned_images --output_size=1024 This will look for faces in the images - crop out, align (center the nose and make the eyes horizontal), and then rescale the resulting images and save them in "aligned_images" folder.

3. Run code/__init__.py above on your aligned face images with arg --img1 and --img2.

1. Detect and auto align faces in images (Optional for face morphing)
2. Generate corresponding features points between the two images using Dlib's Facial Landmark Detection
3. Calculate the triangular mesh with Delaunay Triangulation for each intermediate shape
4. Warp the two input images towards the intermediate shape, perform cross-dissolve and obtain intermediate images each frame