"Python - 在目录中查找相似图像的最佳方法"

Question

Here is the effect I am trying to achieve - Imagine a user submits an image, then a python script to cycle through each JPEG\/PNG for a similar image in the current working directory.

Answer 1

I mean, why not use both? It's trivial to convert PIL images into OpenCV images and vice-versa, and both have niche functions that can make your life easier. Pair them up with sklearn and numpy, and you're cooking with gas.

Answer 2

Yes check out the undouble library!

It uses Hash functions to detect (near-)identical images in for example a directory. It works using a multi-step process of pre-processing the images (grayscaling, normalizing, and scaling), computing the image hash, and the grouping of images based on a threshold value.

Examples are available on the github page and sphinx pages but if you are looking for a guide, try this medium blog