[Deep Learning Combat] Use yolov5 to test players and football detection - Code World

[Deep Learning Combat] Use yolov5 to test players and football detection

Enterprise 2023-06-21 10:19:36 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/PellyKoo/article/details/128372815

[Deep Learning Combat] Use yolov5 to test players and football detection

[Deep Learning Combat] Use yolov5 to test players and football detection

High-precision football detection and recognition system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

[Deep Learning] yolov5 trains a custom target detection model and verifies it

Deep learning model (yolov5) compression

Python-Deep Learning-Object Detection Practical Combat

Football Video AI (5) - Object Tracking of Players and Balls

[Deep learning target detection] Pytorch learning (3) the use of transform

Use yolov5 for target detection and crop the detected target

Deep learning yolov5 and other structure diagrams

Common tool code for deep learning target detection: faster-rcnn test, the detection result is drawn at the same time

YOLOV1 of Deep Learning Target Detection Series

YOLOV3 of Deep Learning Target Detection Series

Target detection for deep learning (3) yoloV3

Intelligent flame and smoke detection system (Python+YOLOv5 deep learning model+fresh interface)

Deep Learning Green Citrus Detection and Counting in Orchards Based on YOLOv5-CS and AI Edge System Papers

Use YOLOv5 to train your own target detection dataset (take mask detection as an example)

Keras deep learning combat (14) - R-CNN target detection from scratch

Python deep learning actual combat: face key points (15 points) detection pytorch implementation

One article learns Mask RCNN algorithm and actual combat - deep learning object detection [with code paper]

Interpretation of deep learning framework—Comparative analysis of Yolov5/Yolov7/Halcon

Overview of Deep Learning Face Detection

Introduction to object detection with deep learning

Baidu flying paddle target detection YOLOv3 actual combat: Leaf pest detection learning record

Use PyQt5 to build yoloV5 target detection platform

AI study notes 3: Writing yolov5 test code for detection

Yolov5 learning process (1) - configure the deep learning environment based on pytorch, it should be said that it is more detailed

yolov5 target detection

Deep learning: algorithm to actual combat

Use tensorrt to deploy target detection models such as yolov5 in jetson nx (super detailed)

Recommended

Ranking

【运动控制】直流电机的建模与位置控制和力控制

9.1 Reporting

The C ++ 11 shared_ptr smart pointer

CSS imitation Taobao Home navigation bar layout effects

Correctly implement ether transfers

Spring MVC学习(2)—Spring MVC中容器的层次结构以及父子容器的概念

Practical method VScode software, Linux systems use a script to perform the python

linux localtime_r()获取的时间比实际时间差八个小时

: The method of Android programming to operate the mobile phone call record

Frp internal network penetrates external network remote desktop and ssh to connect to campus network server

Daily

More

2025-03-24(0)

2025-03-23(0)

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)