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Mastering YOLO: Build an Automatic Number Plate Recognition System
Paperback
Publisher: Independently Published
Published: Oct 23 2023
Pages: 68
Weight: 0.40
Height: 0.14 Width: 8.50 Depth: 11.00
Language: English
- Source code used in the book.
- Hands-on coding experience and real-world implementation.
- Step-by-step guide with clear explanations and code examples.
- Gain practical skills that can be applied to real-world projects.
2. Advancements in Object Detection
3. YOLO: The Object Detection Framework
3.1. What is YOLO
3.2. How YOLO works
3.3. YOLO Architecture
3.4. YOLO Versions
4. Environment Setup
4.1. Install Miniconda
4.2. Install the Required Packages
4.3. Install CUDA and cuDNN for GPU support
4.4. Project Structure
5. Data Preparation
5.1. Gathering the Data
5.2. Labeling the Data
5.3. Splitting the Data
5.4. Creating the YAML File
6. Training the YOLO Model
6.1. Choose a Model
6.2. Start Training
7. Detecting Number Plates with the Trained Model
7.1. Number Plate Detection in Images
7.2. Number Plate Detection in Videos
8. Recognizing Number Plates Using OCR
8.1. Number Plate Recognition in Images
8.2. Number Plate Recognition in Videos
9. Create a Web Application with Streamlit
9.1. Introduction
9.2. Installing Streamlit
9.3. Creating a New Streamlit App
9.4. Adding Upload Feature
9.5. Integrating our Number Plate Recognition System with Streamlit
10. Conclusion
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