Bagaimana untuk menggunakan perpustakaan EasyOCR python

pip install easyocr

import easyocr
 
#设置识别中英文两种语言
reader = easyocr.Reader(["ch_sim","en"], gpu = False) # need to run only once to load model into memory
result = reader.readtext(r"d:Desktop4A34A16F-6B12-4ffc-88C6-FC86E4DF6912.png", detail = 0)
print(result)

from pathlib import Path
import easyocr


file_url = r"识别图片.jpg"    # 需识别的图片
split_symbol = " "          # 默认空格为分隔符
row_space = 15              # 默认字符高度为15px，当识别出来的字符间距超过这个数值时会换行。


def make_reader():
    # 将模型加载到内存中。模型文件地址 C:Users用户.EasyOCRmodel
    reader = easyocr.Reader(["ch_sim", "en"])
    return reader


def change_to_character(file_url, reader, split_symbol=" ", row_space=15, save_dir="."):
    with open(file_url, "rb") as img:
        img_b = img.read()
    result = reader.readtext(img_b)

    result.sort(key=lambda x: x[0][0][1])  # 按竖直方向，进行排序==>进行分行处理。
    # for i in result:
    #     print(i)
    # print("="*100)

    # 按行进行分组
    content = []
    item = [result[0]]  # 首先放入第一个元素
    for i in result[1:]:
        if row_space >= i[0][0][1] - item[-1][0][0][1] >= 0:
            item.append(i)
        else:
            content.append(item)
            item = [i]
    content.append(item)

    filemane = Path(file_url).name.split(".")[0]
    with open(f"{save_dir}/{filemane}.txt", "w", encoding="utf8") as t:
        for i in content:                     # i 为每一行的内容
            i.sort(key=lambda x: x[0][0][0])  # 对每行的内容进行先后排序
            for r in i:
                # print(r)
                t.write(r[1] + split_symbol)
            t.write("
")
    return content


if __name__ == "__main__":
    change_to_character(file_url,  make_reader())