Completed
- Creating a Training and Testing Partition
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Automatic Number Plate Recognition Using Tensorflow and EasyOCR - Python
Automatically move to the next video in the Classroom when playback concludes
- 1 - Start
- 2 - Tutorial Start
- 3 - Gameplan
- 4 - PART 1 | Setup
- 5 - Cloning Baseline Code
- 6 - Creating a Virtual Environment
- 7 - Installing Dependencies
- 8 - Installing Tensorflow Object Detection
- 9 - Cloning Pre-Trained Models
- 10 - PART 2 | Data
- 11 - Cloning Images from Kaggle
- 12 - Creating a Training and Testing Partition
- 13 - PART 3 | Training
- 14 - Updating the LabelMap
- 15 - Creating TF Records
- 16 - Updating Transfer Learning Config
- 17 - Training the Model
- 18 - PART 4 | Detecting Plates
- 19 - Detecting Plates from an Image
- 20 - Detecting Plates from Video
- 21 - PART 5 | Applying OCR
- 22 - Splitting GPU
- 23 - Setup EasyOCR
- 24 - Applying Detection Thresholding
- 25 - Extract Image Width and Height
- 26 - Loop Through Detections and Apply OCR
- 27 - Filtering Algorithm
- 28 - Final OCR Function
- 29 - Applying ANPR in Real Time
- 30 - PART 6 | Saving Results
- 31 - Importing Dependencies
- 32 - Building a Save Function
- 33 - Saving Plates from. Video
