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| Author | SHA1 | Date | |
|---|---|---|---|
| 0d3467c98c | |||
| 671c5085e9 | |||
| 644c61e9fe |
45
scripts/detect_vin.py
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45
scripts/detect_vin.py
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"""
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exec(open("scripts/detect_vin.py").read())
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"""
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from paddleocr import PaddleOCR
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import cv2
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import re
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ocr = PaddleOCR(lang='en', use_textline_orientation=True)
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def cut_vin(ocr, input_image, output_image):
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"""
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Вырезать VIN из изображения.
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"""
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image = cv2.imread(input_image)
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result = ocr.predict(image)
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processed_image = result[0]["doc_preprocessor_res"]["output_img"]
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vin_pattern = re.compile(r'^[A-HJ-NPR-Z0-9]{17}$')
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found_vin = None
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for text, bbox in zip(result[0]["rec_texts"], result[0]["rec_boxes"]):
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if vin_pattern.match(text):
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found_vin = text
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break
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if found_vin:
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x_min, y_min = bbox[0], bbox[1]
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x_max, y_max = bbox[2], bbox[3]
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vin_region = processed_image[y_min:y_max, x_min:x_max]
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cv2.imwrite(output_image, vin_region)
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return found_vin
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vin = cut_vin(ocr, "input/image.jpg", "output/vin.jpg")
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if vin:
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print(f"VIN найден: {vin}.")
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else:
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print("VIN не обнаружен.")
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