This is
Ultralytics/YOLO11 model converted to the
OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.
1import cv2
2from model_api.models import Model
3from model_api.visualizer import Visualizer
4
5# 1. Load model
6model = Model.from_pretrained("OpenVINO/YOLO11n-fp16-ov")
7
8# 2. Load image
9image = cv2.imread("image.jpg")
10
11# 3. Run inference
12result = model(image)
13
14# 4. Visualize and save results
15vis = Visualizer().render(image, result)
16cv2.imwrite("output.jpg", vis)
For more examples and possible optimizations, refer to the
Model API Documentation.
The original model is distributed under
GNU Affero General Public License v3.0 license. More details can be found in
Ultralytics/YOLO11.
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Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
