Learn how to implement your very own license plate recognition using a custom YOLOv4 Object Detector, OpenCV, and Tesseract OCR! In this tutorial I will walk-through custom code I have created to run object detections to find license plates, crop the license plate region, preprocess the license plate using OpenCV, and then run it through Tesseract OCR to output the license plate number. The backbone of this code is TensorFlow and it is written in Python.

#objectdetection #OCR #licenseplaterecognition

This video covers the implementation of a custom YOLOv4 model to detect license plates and numerous preprocessing techniques such as blurring, thresholding, dilation, finding contours, and character segmentation. All of these are done in order to properly prepare the license plate in order for Tesseract OCR to extract the license plate text.

GET THE CODE HERE: https://github.com/theAIGuysCode/yolo...

Video Breakdown:
1. Cloning or Downloading the Code for the Tutorial
2. Installing Dependencies and saving the custom YOLOv4 model
3. Explanation of the license plate recognition and code.
4. Running the License Plate Recognition on several images.

-------------------------Resources--------------------------
Train Your Own YOLOv4 Custom License Plate Object Detector in the Cloud:    • YOLOv4 in the CLOUD: Build and Train ...  
Learn about and Run YOLOv4 Cropping Custom Function:    • Crop and Save YOLOv4 Object Detection...  
Running Object Counting Custom Function:    • Counting Objects Using YOLOv4 Object ...  
Running Pre-trained YOLOv4 model with TensorFlow, TFLite, TensorRT:    • YOLOv4 Object Detection with TensorFl...  
running Custom YOLOv4 License Plate Detector Model with TensorFlow, TFLite, TensorRT:    • How to Build a Custom YOLOv4 Object D...  
The Official YOLOv4 paper: https://arxiv.org/abs/2004.10934

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- The AI Guy