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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')) |