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   Real-Time Object Detection with YOLO培訓

Introduction

Overview of YOLO Pre-trained Models Features and Architecture

The YOLO Algorithm
Regression-based Algorithms for Object Detection
How is YOLO Different from RCNN?
Utilizing the Appropriate YOLO Variant

Features and Architecture of YOLOv1-v2
Features and Architecture of YOLOv3-v4
Installing and Configuring the IDE for YOLO Implementations

The Darknet Implementation
The PyTorch and Keras Implementations
Executing the OpenCV and NumPy
Overview of Object Detection Using YOLO Pre-trained Models

Building and Customizing Python Command-Line Applications

Labeling Images Using the YOLO Framework
Image Classification Based on a Dataset
Detecting Objects in Images with YOLO Implementations

How do Bounding Boxes Work?
How Accurate is YOLO for Instance Segmentation?
Parsing the Command-line Arguments
Extracting the YOLO Class Labels, Coordinates, and Dimensions

Displaying the Resulting Images

Detecting Objects in Video Streams with YOLO Implementations

How is it Different from Basic Image Processing?
Training and Testing the YOLO Implementations on a Framework

Troubleshooting and Debugging

Summary and Conclusion