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from ultralytics import YOLO
if __name__ == "__main__":
weight = "./weights.pt"
model = YOLO(weight)
# 'path to your image'
img_path = './asset/demo_1_textbook.png'
det_res = model.predict(img_path , imgsz=1280, conf=0.25, iou=0.45)[0]
# print bbox info
print(det_res.boxes)
# visualize the bbox
det_res.save(filename=img_path.replace('.png', '_res.png')) |