如何通过在 Python 中使用 PIL 或 opencv 比较其坐标值，将图像粘贴到另一个图像？

Question

I need to merge two images with respect to its coordinate values.

I have done merging using single point to point merge using Paste an image to another image at two given co-ordinates with altered opacity using PIL or OpenCV in Python

I got output for that. But I need to do multiple coordinate comparison and merge in same 2 images.. Is there any possible way to do that?

Above images are the results. Output has only single point to point merge. But I need in multiple point merge.

The parameters are {"Headpts": [354,64, "ShoulderSpinepts": [25,234], "LeftShoulderpts": [123,243], "LeftElbowpts": [54,234], "LeftHandpts": [0, 0], "RightShoulderpts": [0, 0], "RightElbowpts": [0, 0], "RightHandpts": [0, 0], "MidSpinepts": [0, 0], "BaseSpinepts": [0, 0], "LeftHippts": [0, 0], "LeftKneepts": [0, 0], "LeftFootpts": [0, 0], "RightHippts": [0, 0], "RightKneepts": [0, 0], "RightFootpts": [0, 0], "LeftWristpts": [0, 0], "RightWristpts": [0, 0], "Neckpts": [0, 0]}

Answer 1

I'm using cv2.getAffineTransform() . Because it can only add three point (only four on cv2.getPerspectiveTransform() ), so I cut the image to multiple triangle.

This is my sample:

The point:

And my goal is to reshape the cat's head in to a 300*300 box.

First, crop the area into triangle according the point.

And then using cv2.getAffineTransform() to get those specific area which had been adjusted.

Then use cv2.bitwise_or() to add them together. Generated image:

Your project is more complex, but it's the same theory. You need crop the image into several triangle . And then transform them to fit the model. After merge those triangle together , you can get your image.