https://github.com/kartik4949/detectia

A highly flexible, scalable object detection library based on YOLO and SSD like architecture in TensorFlow.
https://github.com/kartik4949/detectia

deeplearning machinelearning objectdetection python tensorflow

Last synced: 30 days ago
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A highly flexible, scalable object detection library based on YOLO and SSD like architecture in TensorFlow.

• Host: GitHub
• URL: https://github.com/kartik4949/detectia
• Owner: kartik4949
• License: apache-2.0
• Created: 2021-02-01T14:00:33.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2021-03-21T11:39:12.000Z (about 5 years ago)
• Last Synced: 2025-01-02T06:44:37.432Z (over 1 year ago)
• Topics: deeplearning, machinelearning, objectdetection, python, tensorflow
• Language: Python
• Homepage:
• Size: 155 KB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Detectia

[![codecov](https://codecov.io/gh/kartik4949/detectia/branch/main/graph/badge.svg?token=GI2JZI4B22)](https://codecov.io/gh/kartik4949/detectia)

### A highly flexible, scalable object detection library with detectors based on YOLO and Retinanet like architecture and distibuting strategies in TensorFlow.

## TODOs

- [x] Add Backbone.

- [x] Add Datamodule.

- [x] Add Configuration.

- [x] Add Tests.

- [x] Add AnchorEncoder and Decoder.

- [x] Add FPN and Model Builder.

- [ ] Add Training Script.

- [ ] Add Evaluators.

## Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Fork the Project

2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)

3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)

4. Push to the Branch (`git push origin feature/AmazingFeature`)

5. Open a Pull Request