Propably two years ago, I studied a ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios", and its GitHub (https://github.com/sergiomsilva/alpr-unconstrained) repository contains the author's implementation. During that time, I had an idea to leveraged its implementation for replacing the license plate with my image. After tryed a couple days, I successed and provided a Python script to detect and replace cars' license plate in the video with a specified image.
I recently commited my modification code and pushed it to my forked repository as follows:
https://github.com/teyenliu/alpr-unconstrained
In this repository, it contains 2 samples which are convenient for users to test.
The way to process a video which will replace any car license plate in the video with a given image content.
$ python license-plate-replacement.py --video cars_mountain_short.mov --replace src/hello.PNG --output output1.avi
$ python license-plate-replacement.py --video cars_mountain.mp4 --replace src/hello.PNG --output output2.aviThe result looks like this:
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