Automatic Number Plate Recognition using Tensorflow and EasyOCR Full Course in 2 Hours | Python

Automatic Number Plate Recognition using Tensorflow and EasyOCR Full Course in 2 Hours | Python

In this video, you'll learn how to leverage Python Tensorflow Object Detection to be able to detect license plates using Kaggle Data. Once those plates have been detected you'll then be able to apply OCR to extract the text from each and every plate using PyTorch and EachOCR.

In this video, you'll learn how to leverage Python Tensorflow Object Detection to be able to detect license plates using Kaggle Data. Once those plates have been detected you'll then be able to apply OCR to extract the text from each and every plate using PyTorch and EachOCR.

On top of it all, you'll be able to export your results. We'll setup a saving function to output the regions of interest as well as the detected text. This could be used as part of a broader system or standalone.

In this video you’ll learn how to:

  1. Detect license plates from images and in real time from video
  2. Apply a EasyOCR to license plates to extract the plate number
  3. Save license plates detected for future analysis and searching

Chapters: 0:00​ - Start 0:26​ - Tutorial Start 1:11​ - Gameplan 3:58​ - PART 1 | Setup 7:13​ - Cloning Baseline Code 10:42​ - Creating a Virtual Environment 12:51​ - Installing Dependencies 17:55​ - Installing Tensorflow Object Detection 32:47​ - Cloning Pre-Trained Models 34:21​ - PART 2 | Data 34:44​ - Cloning Images from Kaggle 35:52​ - Creating a Training and Testing Partition 41:33​ - PART 3 | Training 42:59​ - Updating the LabelMap 44:37​ - Creating TF Records 49:30​ - Updating Transfer Learning Config 51:51​ - Training the Model 1:00:00​ - PART 4 | Detecting Plates 1:01:00​ - Detecting Plates from an Image 1:03:45​ - Detecting Plates from Video 1:05:01​ - PART 5 | Applying OCR 1:06:29​ - Splitting GPU 1:10:46​ - Setup EasyOCR 1:13:46​ - Applying Detection Thresholding 1:18:42​ - Extract Image Width and Height 1:20:16​ - Loop Through Detections and Apply OCR 1:25:40​ - Filtering Algorithm 1:36:28​ - Final OCR Function 1:42:15​ - Applying ANPR in Real Time 1:45:38​ - PART 6 | Saving Results 1:46:10​ - Importing Dependencies 1:46:29​ - Building a Save Function 1:52:06​ - Saving Plates from. Video

Links

Final Notebook: https://github.com/nicknochnack/RealT...

Baseline Code: https://github.com/nicknochnack/TFODC...

PyTorch: https://pytorch.org/

Full Tutorial: https://youtu.be/yqkISICHH-U

Subscribe: https://www.youtube.com/c/NicholasRenotte/featured

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