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Good-GYM

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yo-WASSUP/Good-GYM

AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.

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Python MITCreated May 18, 2025

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Maintenance
Active (9d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Personal account
As of today · Source: github_public_v1
Security (OSV)
79 low (79 low)
As of today · Source: osv@v1

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Overview

AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.

Capability facts

Languages
python

Source: github.language · Jul 11, 2026

Categories

Computer VisionInference & ServingDeveloper Tools

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

- Python 3.9
Source link

Tags

exerciseaipythonfitness-trackerfitnesscomputer-vision

README

📋 Requirements

  • Python 3.9
  • Webcam
  • Windows/Mac/Linux: Runs on CPU by default. Optional GPU acceleration is available when running from source, but CPU is generally recommended.

Installation

  1. Clone and install

    git clone https://github.com/yo-WASSUP/Good-GYM.git
cd Good-GYM

# Create a virtual environment
python -m venv venv
# Activate on Windows
.\venv\Scripts\activate
# Or on Mac/Linux
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

  2. Run the application

    python run.py

2. Install CUDA runtime libraries through pip (no manual CUDA Toolkit install required)

pip install nvidia-cudnn-cu12 nvidia-cublas-cu12 nvidia-cuda-runtime-cu12 nvidia-cufft-cu12 nvidia-curand-cu12 nvidia-cusolver-cu12 nvidia-cusparse-cu12 nvidia-cuda-nvrtc-cu12


The application uses CPU by default. When CUDA is detected, the "GPU Acceleration" switch in the control panel becomes available, but it is not enabled automatically.

> **Note**: The packaged EXE version only supports CPU mode. GPU acceleration is only available when running from source.

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## 📄 License

This project is licensed under the MIT License. See the LICENSE file for details.