Object_detection_AI_Fitness_Test

Welcome to the Object_detection_AI_Fitness_Test project repository! This project utilizes YOLOv7 for real-time object detection. Specifically, we have fine-tuned the model to detect volleyballs and medicine balls using the YOLOv7-tiny variant, ensuring rapid and real-time detection capabilities.

Key Feature: Real-time volleyball detection, making it ideal for monitoring sports events or training sessions.

Owner: @boqiny

Overview

• Primary Function: Real-time object detection with a focus on volleyballs.
• Model Base: YOLOv7-tiny
• Specialization: Volleyball & Medicine ball detection

Repository Structure

• cfg/: Configuration files for the YOLOv7 model.
• data/: Data files and datasets for training and testing.
• deploy/triton-inference-server/: Files related to deploying the model using Triton Inference Server.
• models/: Model architecture and related files.
• paper/: Research papers or references related to this project.
• scripts/: Utility scripts for various tasks.
• tools/: Tools for data processing and other tasks.
• utils/: Utility files and functions supporting the main project functionalities.