How to Fine-Tune YOLOv8 Pose on Custom Sports Dataset | Cricket Bowling

Описание: Hello everyone! In this video, we build a Cricket Bowling Biomechanics
Analysis System from scratch using YOLOv8x-Pose and Computer Vision.

This system goes beyond simple object detection it tracks 3 critical
keypoints on a bowler's arm in real time, visualizes the full wrist arc
with a motion trail, and delivers live biomechanical analytics on screen.

What you will learn in this video:

➤ How to extract frames from a cricket video for custom dataset creation.
➤ How to annotate keypoints using Labellerr and export in COCO JSON format.
➤ How to convert COCO JSON annotations to YOLO Pose format from scratch.
➤ How to fine-tune YOLOv8x-Pose on a custom 3-keypoint cricket dataset.
➤ How to build a custom inference pipeline with wrist trail visualization.
➤ How to calculate elbow joint angles using vector mathematics every frame.
➤ How to convert pixel speed to real-world meters per second using arm length scaling.
➤ How to render live analytics graphs using pure OpenCV - no matplotlib needed.

Whether you are a sports tech enthusiast, a computer vision developer,
or a cricket fan this end-to-end pipeline is a perfect example of how
AI can bring professional biomechanics analysis to anyone with a video clip.

Notebook: https://github.com/Labellerr/Hands-On...

GitHub: https://github.com/Labellerr/Hands-On...

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#Python #OpenCV #MachineLearning #KeypointDetection #CricketAnalysis
#Biomechanics #AI #DataScience #ArtificialIntelligence #TechTutorial
#BowlingAction #SportsAnalytics #NeuralNetworks #PyTorch #YOLO