bukuroo/RTMDet-ONNX
By bukuroo · ↓ 0 · ♥ 0 · Updated 2025-08-30
What's in this repo
This page lists the files in bukuroo/RTMDet-ONNX, including rtmdet-l-coco.onnx, rtmdet-m-coco.onnx, rtmdet-m-person.onnx and more.
- 8 ONNX models (.onnx files)
- 10 files, including 8 .onnx, 1 .md
- Last updated 2025-08-30
ONNX files
| File | Size | Download |
|---|---|---|
| rtmdet-l-coco.onnx | — | Download |
| rtmdet-m-coco.onnx | — | Download |
| rtmdet-m-person.onnx | — | Download |
| rtmdet-n-hand.onnx | — | Download |
| rtmdet-n-person.onnx | — | Download |
| rtmdet-s-coco.onnx | — | Download |
| rtmdet-tiny-coco.onnx | — | Download |
| rtmdet-x-coco.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
RTMDet real-time object detection model.
MMPose
from ezonnx import RTMDet
rtm = RTMDet("s-coco") # you can choose "n-person","m-person","n-hand","tiny-coco","s-coco","m-coco","l-coco","x-coco"
result = rtm("image.jpg")
print(result.boxes) # (N, 4) array of bounding boxes
print(result.classes) # (N,) array of class labels
print(result.scores) # (N,) array of confidence scores
print(result.visualized_img) # (H, W, 3) image with boxes
Model info
onnx
object-detection
ezonnx
license:apache-2.0
region:us
↓ 0
♥ 0
Created: 2025-08-30
Updated: 2025-08-30
View on Hugging FaceFiles (10)
.gitattributes
README.md
rtmdet-l-coco.onnx
ONNX
rtmdet-m-coco.onnx
ONNX
rtmdet-m-person.onnx
ONNX
rtmdet-n-hand.onnx
ONNX
rtmdet-n-person.onnx
ONNX
rtmdet-s-coco.onnx
ONNX
rtmdet-tiny-coco.onnx
ONNX
rtmdet-x-coco.onnx
ONNX