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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.

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