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| ID | Class |
|---|---|
| 0 | auto-rickshaw |
[1, 3, 640, 640] (NCHW, float32, normalized 0-1)[1, 5, 8400] (cx, cy, w, h, conf per anchor)1from ultralytics import YOLO
2
3model = YOLO("best.onnx")
4results = model.predict("image.jpg", conf=0.35)1import onnxruntime as ort
2
3session = ort.InferenceSession("best.onnx")
4output = session.run(None, {"images": preprocessed_input})