Overview
Syllabus
- Start
- Tutorial Start
- Gameplan
- PART 1 | Setup
- Cloning Baseline Code
- Creating a Virtual Environment
- Installing Dependencies
- Installing Tensorflow Object Detection
- Cloning Pre-Trained Models
- PART 2 | Data
- Cloning Images from Kaggle
- Creating a Training and Testing Partition
- PART 3 | Training
- Updating the LabelMap
- Creating TF Records
- Updating Transfer Learning Config
- Training the Model
- PART 4 | Detecting Plates
- Detecting Plates from an Image
- Detecting Plates from Video
- PART 5 | Applying OCR
- Splitting GPU
- Setup EasyOCR
- Applying Detection Thresholding
- Extract Image Width and Height
- Loop Through Detections and Apply OCR
- Filtering Algorithm
- Final OCR Function
- Applying ANPR in Real Time
- PART 6 | Saving Results
- Importing Dependencies
- Building a Save Function
- Saving Plates from. Video
Taught by
Nicholas Renotte
Reviews
5.0 rating, based on 1 Class Central review
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Good to learn for automatic number plate recognition
Implementation of ocr is very good
Implementation of yolo methods is very good to learn