• 详解Python+opencv裁剪/截取图片的几种方式
  • PaddleOCR详解

    示例

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    import json
    from PIL import Image
    import cv2
    import numpy as np
    import os

    def get_data(res_path):
        with open(res_path, 'r', encoding='utf-8') as f:
            data = json.loads(f.read())
            return data['res']


    result = get_data(
        '/Users/zhouzhikai/PycharmProjects/ai_data_acquisition/output/RE_SER/base/res_0.txt')

    img_path = '/Users/zhouzhikai/PycharmProjects/ai_data_acquisition/tests/20221112-120221.png'
    def core():
        for row in result:
            print(row['text_region'])
            print(row['text'])
            print(row['confidence'])


    def chatPng(top,left,bottom,right):
        image = Image.open(img_path)
        crop_image = cv2.imread(img_path)

        top = top - 5
        left = left - 5
        bottom = bottom + 5
        right = right + 5

        # 左上角点的坐标
        top = int(max(0, np.floor(top + 0.5).astype('int32')))
        left = int(max(0, np.floor(left + 0.5).astype('int32')))
        # 右下角点的坐标
        bottom = int(min(np.shape(image)[0], np.floor(bottom + 0.5).astype('int32')))
        right = int(min(np.shape(image)[1], np.floor(right + 0.5).astype('int32')))

        croped_region = crop_image[top:bottom, left:right]

        #裁剪图片存放目录

        cv2.imwrite('da.png', croped_region)
    # 29,27,806,167
    # 591,170,921,471
    # A区
    # chatPng(29,27,167,806)
    # C区
    # chatPng(170,591,471,921)
    # D区
    # 592,473,921,777
    chatPng(473,592,777,921)
    # E区
    # 31,171,590,1288
    chatPng(171,31,1288,590)
    # F区
    # 29,1290,921,1309
    chatPng(1290,29,1309,921)
    # A区--2
    # 28,27,807,167
    chatPng(27,28,167,807)