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['msgsu']pip install ultralyticsplus==0.0.23 ultralytics==8.0.211from ultralyticsplus import YOLO, render_result
2
3# load model
4model = YOLO('uisikdag/msgsulogo_v8')
5
6# set model parameters
7model.overrides['conf'] = 0.25 # NMS confidence threshold
8model.overrides['iou'] = 0.45 # NMS IoU threshold
9model.overrides['agnostic_nms'] = False # NMS class-agnostic
10model.overrides['max_det'] = 1000 # maximum number of detections per image
11
12# set image
13image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
14
15# perform inference
16results = model.predict(image)
17
18# observe results
19print(results[0].boxes)
20render = render_result(model=model, image=image, result=results[0])
21render.show()