Metadata-Version: 2.4
Name: rtmdet
Version: 0.1.0
Summary: RTMDet Pytorch Implementation
Author: Alessio Arcara
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-Expression: MIT
Requires-Dist: numpy<2.0
Requires-Dist: pydantic>=2.11.9
Requires-Dist: pyyaml>=6.0.2
Requires-Dist: torch>=2.8.0
Requires-Dist: torchvision>=0.23.0

# RTMDet – PyTorch Implementation

![status](https://img.shields.io/badge/status-work--in--progress-yellow)

This repository is a **PyTorch port of RTMDet**, originally implemented in [MMDetection](https://github.com/open-mmlab/mmdetection).

The goal is to reimplement the network in pure PyTorch while making it possible to **load pretrained weights** from the original models.

![RTMDet-L model](assets/rtmdet-l_model_structure.jpg)

## References

- **RTMDet: An Empirical Study of Real-Time Object Detectors**  
  Xiangyu Zhang, Xinyu Zhou, Zhiqi Li, et al.  
  [📄 Paper](https://arxiv.org/abs/2212.07784)

