RTMDet – PyTorch Implementation
This repository is a PyTorch port of RTMDet, originally implemented in MMDetection.
The goal is to reimplement the network in pure PyTorch while making it possible to load pretrained weights from the original models.
Installation
pip install rtmdet
Usage
from rtmdet import RTMDet
model = RTMDet.from_preset("small") # tiny / small / medium / large
bboxes, scores, classes = model("image.jpg")
References
- RTMDet: An Empirical Study of Real-Time Object Detectors
Xiangyu Zhang, Xinyu Zhou, Zhiqi Li, et al.
📄 Paper
Acknowledgments
Based on MMDetection and the official RTMDet implementation.
Metadata
Release files for rtmdet 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rtmdet-0.3.0.tar.gz | 14.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rtmdet-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.7 kB
Release files / rtmdet-0.3.0.tar.gz
| Download URL | rtmdet-0.3.0.tar.gz |
|---|---|
| Size | 14.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a67edbc6e101283c1f84517d48d23d28df524494a2fd75337ae8a45fd552105
|
|
BLAKE2b-256 checksum How to use checksums |
c4287f1b6faf5a67d745a4997e9a391de260e2de1f211a216260ab5c7bfdc4c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.24
|
Release files / rtmdet-0.3.0-py3-none-any.whl
| Download URL | rtmdet-0.3.0-py3-none-any.whl |
|---|---|
| Size | 19.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1b0bdb6c8345ecfaa02c3585b01fdf025bc9017b68ab5424ab62f28c11757474
|
|
BLAKE2b-256 checksum How to use checksums |
8aa6e20374545dce52d54284542ad4fc60a92e1aad436090fe945f1990eed389
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.24
|