You can deploy this model and start earning money today!

modelapi/
yolox-s-fp16-ov-catalog

Name: yolox-s-fp16-ov-catalog
Availability: InStock

Views

No views yet

YOLOX-S object detection model, a Geti™ build of YOLOX-S converted to OpenVINO™ IR with FP16 weights. It maps an input image to bounding boxes for detected objects. Model weights are hosted in the source repository OpenVINO/yolox_s-fp16-ov.

How to Use

Install required packages:

pip install openvino-model-api[huggingface]

Run model inference:

python

import cv2
from model_api.models import Model
from model_api.visualizer import Visualizer

model = Model.from_pretrained("OpenVINO/yolox_s-fp16-ov")
image = cv2.imread("image.jpg")
result = model(image)
vis = Visualizer().render(image, result)
cv2.imwrite("output.jpg", vis)

Legal information

The original model is distributed under the Apache-2.0 license. More details can be found in the original model repository.

modelapi/yolox-s-fp16-ov-catalog

How to Use

Legal information

modelapi/
yolox-s-fp16-ov-catalog