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@@ -1,77 +0,0 @@
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-import os
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-
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-import cv2
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-
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-def read_bounding_boxes(txt_file_path, image_dir:str = None):
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- """
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- 读取包含bounding box信息的txt文件。
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-
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- 参数：
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- txt_file_path (str): txt文件路径。
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- image_dir (str): 图片保存位置，默认为None，如果txt文件保存的是图像绝对路径，则此处为空
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-
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- 返回：
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- list: 包含图片路径和bounding box的列表。
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- """
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- bounding_boxes = []
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- image_dir = os.path.normpath(image_dir)
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- with open(txt_file_path, 'r') as file:
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- for line in file:
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- parts = line.strip().split()
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- image_path = f"{image_dir}/{parts[0]}" if image_dir is not None else parts[0]
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- bbox = list(map(float, parts[1:]))
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- bounding_boxes.append((image_path, bbox))
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- return bounding_boxes
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-
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-def detect_qrcode_in_bbox(image_path, bbox):
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- """
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- 在指定的bounding box中检测和解码QR码。
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-
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- 参数：
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- image_path (str): 图片路径。
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- bbox (list): bounding box，格式为[x_min, y_min, x_max, y_max]。
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-
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- 返回：
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- str: QR码解码后的信息，如果未找到QR码则返回 None。
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- """
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- # 读取图片
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- img = cv2.imread(image_path)
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-
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- if img is None:
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- raise FileNotFoundError(f"Image not found or unable to load: {image_path}")
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-
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- # 将浮点数的bounding box坐标转换为整数
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- x_min, y_min, x_max, y_max = map(int, bbox)
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-
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- # 裁剪出bounding box中的区域
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- qr_region = img[y_min:y_max, x_min:x_max]
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-
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- # 初始化QRCodeDetector
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- qr_decoder = cv2.QRCodeDetector()
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-
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- # 检测并解码QR码
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- data, _, _ = qr_decoder.detectAndDecode(qr_region)
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-
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- return data if data else None
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-
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-def process_images_with_bboxes(txt_file_path, output_file_path):
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- """
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- 根据bounding box文件处理图片并识别QR码，输出结果到txt文件。
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-
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- 参数：
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- txt_file_path (str): 包含bounding box信息的txt文件路径。
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- output_file_path (str): 结果输出的txt文件路径。
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- """
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- bounding_boxes = read_bounding_boxes(txt_file_path)
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-
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- with open(output_file_path, 'w') as output_file:
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- for image_path, bbox in bounding_boxes:
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- qr_data = detect_qrcode_in_bbox(image_path, bbox)
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- output_line = f"{image_path} {bbox} {qr_data}\n"
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- output_file.write(output_line)
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- print(output_line.strip())
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-
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-# Example usage
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-txt_file_path = "./qrcode_positions.txt"
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-output_file_path = "./test.txt"
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-process_images_with_bboxes(txt_file_path, output_file_path)
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