README.md

Yolov9 MLX

Yolov9 code written in MLX.

Installation

You can install using pip

pip insall .

Load model

Pretrained weights from Yolov9:

• yolov9-c-converted.safetensors
• yolov9-e-converted.safetensors
• yolov9-c.safetensors
• yolov9-e.safetensors

Model can be load as following snippet.

from yolov9_mlx.models import yolo

model = yolo.Yolov9CConverted()
model.load_weights("yolov9-c-converted.safetensors")

y, d = model(im)

For more details on how to run detect, please refer to serve.py

Inference service

A model endpoint example is also available in serve.py].

Start service

pdm sync -G serving
pdm run serve

Send request to service

curl -XPOST -F '[email protected]' http://localhost:3000/detect