This project forked from sidyph/zhilu_ocr
从图片形式的表格中抽取各单元格并进一步拆分成单字予以识别
读取本地表格图片，将其按单元格拆解开来
read_picture 外层执行函数，将图片读取并执行拆解全过程
select_cell_conrours 内层函数，将各单元格的轮廓一一框选出来
text_contours 内层函数，将单元格中的文本内容框选出来，并切割存入本地
split_text 将文本切割成单字符
zhilu_ocr 使用训练所得的字库（如命名为yhj的字库），用来识别待识别文字
执行test_read_picture.py中的test_read_picture函数即可在out_path中观察到结果
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