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Deep learning object detection Yolo series

2020-12-08 08:15:37 osc_ 9ntog5yq

Deep learning - Object detection -YOLO series

Object detection YOLO The series of courses mainly includes two core modules :
One 、YOLO A series of algorithms , Detailed interpretation 3 In this paper, the core knowledge points and the overall network architecture are analyzed in depth , Popular explanation YOLO Architecture implementation principle and effect improvement details ;
Two 、YOLO-V3 Project practice , Detailed interpretation V3 Version source code , adopt debug The pattern explains each line of code , From the fundamental grasp YOLO Full implementation details of the series .

The overall style is easy to understand , principle + Actual combat

chapter 1 Overview of classical detection methods for deep learning
chapter 2 YOLO-V1 Overall thinking and network architecture
chapter 3 YOLO-V2 Improve the details
chapter 4 YOLO-V3 Core network model
chapter 5 Project practice - be based on V3 Version of the source code interpretation
chapter 6 be based on YOLO-V3 Train your own data and tasks
chapter 7 YOLO-V4 Version algorithm interpretation
chapter 8 V5 Version project configuration
chapter 9 V5 Version project source code interpretation
chapter 10 Basic supplement - Transfer learning and Resnet Network architecture
chapter 11 Basic supplement - Object detection FasterRcnn series









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