gvision 0.8a1

End-to-end automation platform for computer vision projects.

GVISION 🚀

GVISION is an end-to-end automation platform for computer vision projects, providing seamless integration from data collection to model training and deployment. Whether you're a beginner or an expert, GVISION simplifies the entire process, allowing you to focus on building and deploying powerful models.

Features ✨

• Easy-to-Use Interface: Intuitive UI design for effortless project management and model development.
• No Coding Required: Build and train models without writing any code.
• Roboflow Integration: Easily download datasets from Roboflow for your computer vision projects.
• Multiple Tasks Supported: Develop models for object detection, segmentation, classification, and pose estimation.
• Ultralytics Model Training: Train your custom models using Ultralytics YOLOv8.
• Live Monitoring with TensorBoard: Monitor model training and performance in real-time using TensorFlow's TensorBoard integration.
• Performance Monitoring: View model performance and visualize results.
• Quick Deployment: Deploy trained models seamlessly for various applications.
• Streamlit Deployment Demo: Quickly deploy your trained models with Streamlit for interactive demos and visualization.

Getting Started 🌟

1. Note: Before Installation It's recommended to create a new Python environment or Conda environment before installing GVISION. This will prevent potential conflicts with your existing dependencies and ensure a smooth installation process.

2. Installation You can install GVISION using pip:

pip install gvision

Global CLI

3. Run GVISION: Launch the GVISION application directly in the Command Line Interface (CLI).

gvision

#UI:

4. Import Your Data: Use the Roboflow integration to import datasets and preprocess your data.

5. Train Your Model: Utilize Ultralytics for training your custom models with ease.

6. Deploy Your Model: Showcase your trained models with Streamlit deployment for interactive visualization.

Documentation 📚

For detailed instructions on how to use GVISION, check out the Documentation.

License 📝

GVISION is licensed under the MIT License.

Contributing 🤝

We welcome contributions from the community! If you have any feature requests, bug reports, or ideas for improvement, please open an issue or submit a pull request.

Upcoming Features 🚀

• Video Support: Upload video datasets and train models for video analysis.
• Predicted Video Generation: Generate predicted videos based on model inference results.

Version 0.9 of GVISION will introduce exciting new features, including video support and predicted video generation capabilities. Stay tuned for updates!

Support 💌

For any questions, feedback, or support requests, please contact us at [e-mail].