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Computer Vision-Object Detection-General Solution Framework Mask-Rcnn practical course aims to help students quickly grasp the current mainstream solutions and network framework construction principles in the field of object detection, and interpret their application fields and usage methods based on open source projects.
Through the debug method, interpret the core source code of each module in the project in detail, and understand the network implementation method and modeling process from the code point of view. In order to facilitate students to apply the project to their own data and tasks, an example demonstrates how to make labels and code adjustment methods for their own data sets, the whole process of actual operation, and a popular explanation of the complex network architecture.
Chapter 1 Object Detection Framework-MaskRcnn Project Introduction and Configuration
Chapter 2 MaskRcnn Network Framework Source Code Detailed
Chapter 3 Training Your Own Data and Tasks Based on the MASK-RCNN Framework
Chapter 4 Practicing Small Project-Human Posture Recognition Demo
Chapter 5 Essential Basics-Migration Learning and Resnet Network Architecture
Chapter 6 Essential Foundation-Object Detection FasterRcnn Series