Morphing Readme

This code performs image morphing by warping one image onto the structure of another image based on a set of corresponding points. The code is written in Python 3 and requires several external libraries such as OpenCV, DLib, Numpy, Scipy and Imageio.

Libraries

This code requires the following libraries to be installed in your Python environment:

• dlib
• cv2 (OpenCV)
• numpy
• imageio
• scipy

You can install these libraries using pip. For example:

pip install dlib
pip install opencv-python
pip install numpy
pip install imageio
pip install scipy

Preprocessing

Before performing the morphing, the code pre-processes the input images by performing the following steps:

• Reading the images
• Converting them to grayscale
• Detecting faces in the images using DLib
• Adding some boundary points to the detected landmark points
• Performing Delaunay triangulation on the landmark points to get a set of triangles that cover the face

The PreMorph function performs all these preprocessing steps and returns the input images along with the triangle points.

Morphing

The morphing algorithm works as follows:

• For each point in the triangles, compute a corresponding point on the target triangle using affine transformation
• Use the computed points to create a warp matrix using OpenCV's getAffineTransform function
• Warp the source image into the target image using OpenCV's warpAffine function

The morph_points function computes the corresponding points on the target triangle, and the warp_images function warps the source image into the target image using the computed warp matrix.