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@ -47,10 +47,7 @@ def detect(img_path: str, yolo_path: str, resnet_path: str):
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# Classify ROI in RGB
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# Classify ROI in RGB
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predictions[idx] = classify(second_stage, cropped_image[..., ::-1])
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predictions[idx] = classify(second_stage, cropped_image[..., ::-1])
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# cv2.imshow('cropped ' + str(idx), cropped_image)
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# Draw bounding box and number on original image
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# cv2.waitKey(0)
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# Draw bounding box and class on original image
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original = cv2.rectangle(original, (xmin, ymin), (xmax, ymax),
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original = cv2.rectangle(original, (xmin, ymin), (xmax, ymax),
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(0, 255, 0), 2)
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(0, 255, 0), 2)
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original = cv2.putText(original, str(idx), (xmin + 5, ymin + 25),
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original = cv2.putText(original, str(idx), (xmin + 5, ymin + 25),
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@ -60,9 +57,6 @@ def detect(img_path: str, yolo_path: str, resnet_path: str):
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cv2.FONT_HERSHEY_SIMPLEX, 0.9, (255, 255, 255),
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cv2.FONT_HERSHEY_SIMPLEX, 0.9, (255, 255, 255),
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2, cv2.LINE_AA)
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2, cv2.LINE_AA)
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# cv2.waitKey(0)
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# cv2.destroyAllWindows()
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cv2.imshow('original with bounding box', original)
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cv2.imshow('original with bounding box', original)
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cv2.waitKey(0)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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cv2.destroyAllWindows()
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