Lipi Deepaakshi Patnaik

Hi Can you provide the corresponding tem files so that we can replicate and try to resolve the issue?

Can you also share your complete Python code for face morphing that you are using?

Thanks! I will look into it and get back to you.

Changing `alpha` to 0.8, and the if condition in the calculateDelaunayTriangles function to `if(abs(pt[j][0] - points[k][0]) < 0.1 and abs(pt[j][1] - points[k][1]) < 0.5)` improves the result slightly. The black...

Hi @EklavyaFCB that's correct. After replacing your points with the facial landmarks obtained using 68 point model, the results obtained are perfectly correct. So the issue is not with your...

@EklavyaFCB please find attached the revised Python code. Change the landmark model path as required. [OpenCV_Morph.zip](https://github.com/spmallick/learnopencv/files/4988698/OpenCV_Morph.zip)

You can use a simple binary masking technique so that wherever there is 0 (black) in the new image, you can directly take the corresponding pixel from the original image...

@EklavyaFCB 19.19.0