paddleocr识别并按行输出结果

from paddleocr import PaddleOCR
 
# 初始化OCR引擎
ocr = PaddleOCR(use_angle_cls=True, lang="ch")  # 使用中文模型
 
# 对图像进行OCR识别
img_path = './imgs/img_3.png'
result = ocr.ocr(img_path, cls=True)
 
# 按y坐标对文本块进行排序
sorted_result = sorted(result, key=lambda x: x[0][1])  # 假设每个元素是(bbox, text)的元组
 
# 初始化行列表
rows = []
current_row = []
last_y = None
y_threshold = 10  # 行的y坐标差异阈值
 
for line in sorted_result:
    for node in line:
        bbox, text = node
        y1, y2 = bbox[1][1], bbox[3][1]
        if last_y is None or y1 - last_y > y_threshold:
            # 如果这是第一行或与前一行有足够的垂直距离，则开始新行
            if current_row:
                rows.append(current_row)
            current_row = [(bbox, text)]
            last_y = y1
        else:
            # 否则，将文本块添加到当前行
            current_row.append((bbox, text))
 
# 不要忘记添加最后一行（如果有的话）
if current_row:
    rows.append(current_row)
 
# 输出结果
for idx, row in enumerate(rows, start=1):
    print(f"Row {idx-1}:")
    for bbox, text in row:
        print(f"  Text: {text}, Box: {bbox}")