jp_ocr.py

# see huggingface/rwkv5-jp-trimvd_new/PaddleOCR_ali1k_det_rec_300epoch_standalone/requirements.txt

# 第一次 aliocr 识别中文   main.py
# 第二次用 ppocr 识别日文  jp_ocr.py

from ocr import rec as ppocr

import json, cv2

def save_json(filename, dics):
    with open(filename, 'w', encoding='utf-8') as fp:
        json.dump(dics, fp, indent=4, ensure_ascii=False)
        fp.close()

def load_json(filename):
    with open(filename, encoding='utf-8') as fp:
        js = json.load(fp)
        fp.close()
        return js


if __name__ == '__main__':

    import glob
    import numpy as np
    from pathlib import Path
    pth_jsons = glob.glob('pdfs/jp/李致雨N3词汇详解/*.json', recursive=True)
    pth_zh_jsons = [ str( Path(pth).resolve() ) for pth in pth_jsons if '_jp' not in pth ]

    pth_zh_jsons = sorted(pth_zh_jsons, key=lambda l:l, reverse=False)

    array = []
    for idx, pth in enumerate(pth_zh_jsons):
        js = load_json(pth)
        array.append( { "pth":pth, "js":js, "idx":idx } )
        # break

    for item in array:
        pth = item['pth']
        pth_img = pth.replace('.json', '.jpg')
        pth_json_jp = pth.replace('.json', '_jp.json')
        jsn = item['js']
        imgData = np.fromfile(pth_img, dtype=np.uint8)
        img_color = cv2.imdecode(imgData, -1)

        if 'prism_wordsInfo' in jsn:
            wordsInfo = jsn['prism_wordsInfo']
        else:
            wordsInfo = []
        for j in range(len(wordsInfo)):
            jo = wordsInfo[j]
            word = jo["word"]

            # prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
            angle = jo['angle']

            word_x = jo['x']
            word_y = jo['y']
            word_width = jo['width']
            word_height = jo['height']

            if abs(angle) == 90 or abs(angle) == 270:
                word_width = jo['height']
                word_height = jo['width']

            pos = jo['pos']

            # 四个角的位置 左上、右上、右下、左下  顺时针方向
            lu = [pos[0]['x'], pos[0]['y']] 
            ru = [pos[1]['x'], pos[1]['y']]
            rd = [pos[2]['x'], pos[2]['y']]
            ld = [pos[3]['x'], pos[3]['y']]


            x1 = min( pos[0]['x'], pos[3]['x'] )   # 当前行的极左
            x2 = max( pos[1]['x'], pos[2]['x'] )   # 当前行的极右

            y1 = min( pos[0]['y'], pos[1]['y'] )   # 当前行的极上
            y2 = max( pos[2]['y'], pos[3]['y'] )   # 当前行的极下

            # img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角

            # cv2.imshow("green", img_color)
            # cv2.waitKey(0)

            # h = img_color.shape[0]  # 注意：高是行数
            # w = img_color.shape[1]  # 宽是列数
            
            img_crop = img_color[lu[1]:lu[1]+(rd[1]-lu[1]), lu[0]:lu[0]+(rd[0]-lu[0])]
                # img_crop = m4.ocr_frame[y:y+height, x:x+width]
            txts, boxes, scores, pil_image = ppocr(img_crop)
            txts = "\n".join(txts)
            if txts.strip():
                jo["word_jp"] = txts.strip()
            else:
                jo["word_jp"] = ""
        
            print( txts )

            pass


            # cv2.imshow("img_crop", img_crop)
            # cv2.waitKey(0)


        save_json(pth_json_jp, jsn)

    pass










    # ocr_one_pdf('pdfs/jp/高木直子学日语文法不要想太多/高木直子学日语文法不要想太多.pdf')

    # ocr_one_pdf('pdfs/jp/刘炳善英汉双解莎士比亚大词典续编/刘炳善英汉双解莎士比亚大词典续编.pdf')
    
    # ocr_one_pdf('pdfs/en/TIME单挑1000/TIME单挑1000.pdf')

    # ocr_one_pdf('pdfs/en/TIME片挑200/TIME片挑200.pdf')
    
    # ocr_one_pdf('pdfs/jp/徐一平日本语句型辞典/徐一平日本语句型辞典.pdf')
















# pip install pypdf==5.0.0
    # https://github.com/py-pdf/pypdf
    #   # https://github.com/freddyaboulton/gradio-pdf   
    # gradio_pdf==0.0.15

# aliocr first then autuo pdf trim
# see huggingface/project/zh_jp_auto_selection.py
# see huggingface/rwkv5-jp-trimvd/config.py
    # see huggingface/rwkv5-jp-trimvd/appv4.py # aliocr first then autuo pdf trim
# see huggingface/PPOCRLabel  use this to correct ocr result

# from config import alicr_config

# def ali_ocr(img_data, config):

#     # https://market.aliyun.com/apimarket/detail/cmapi028554#sku=yuncode22554000016

#     import requests
#     import json

#     api = config['api']
#     app_code = config['app_code']
#     appSecret = config['appSecret']
#     try:
#         # 设置请求头
#         headers = {
#             "Authorization": f"APPCODE {app_code}",
#             "Content-Type": "application/json;charset=UTF-8"
#         }

#         # 设置请求体
#         payload = json.dumps({
#             "img": img_data,
#             "prob": True,
#             "charInfo": True,
#             "table": True,
#             "sortPage": True,
#             "NeedRotate": True
#         })

#         # 发送POST请求
#         response = requests.post(api, headers=headers, data=payload, timeout=120)

#         # 检查响应状态
#         if response.status_code != 200:
#             return None, {"error_code": response.status_code, "error_msg": response.text}

#         # 解析返回结果
#         try:
#             ali_result = response.json()
#         except Exception as ex:
#             print("#####ERROR: aliyun ocr parse error.")
#             print(ex)
#             print("Response Text:", response.text)
#             return None, {"error_code": "JSON_PARSE_ERROR", "error_msg": str(ex)}

#         return ali_result, None

#     except requests.RequestException as error:
#         print('#####ERROR: aliyun ocr fail.')
#         print(error)
#         return None, {"error_code": "REQUEST_ERROR", "error_msg": str(error)}


# def ocr_one_img():
#     import numpy as np
#     import cv2, base64
#     np_array = np.fromfile('data/no_think_more.png', dtype=np.uint8)
#     img = cv2.imdecode(np_array, -1)
#     # bytes = img.tobytes()  # 转字节数组  # 或者使用img.tostring()，两者是等价的
#         # 注意了：得到的bytes数据并不等价于open(file,"rb")数据

#     if len(img.shape) != 3:  # 转彩图
#         img_color = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
#         img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)  # DBNet 原版只能处理彩图，这里转一下

#     else:
#         img_color = img.copy()

#     # 把img 对象编码为jpg 格式
#     success, encoded_image = cv2.imencode(".jpg", img) 
#     # 将数组转为bytes
#     img_bts = encoded_image.tobytes() # 等价于tostring() 
#     img_b64_str = base64.b64encode(img_bts).decode('utf-8')

#     jsn, error = ali_ocr(img_b64_str, alicr_config)

#     wordsInfo = jsn['prism_wordsInfo']
#     for j in range(len(wordsInfo)):
#         jo = wordsInfo[j]
#         word = jo["word"]

#         # prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
#         angle = jo['angle']

#         word_x = jo['x']
#         word_y = jo['y']
#         word_width = jo['width']
#         word_height = jo['height']

#         if abs(angle) == 90 or abs(angle) == 270:
#             word_width = jo['height']
#             word_height = jo['width']

#         pos = jo['pos']

#         # 四个角的位置 左上、右上、右下、左下  顺时针方向
#         lu = [pos[0]['x'], pos[0]['y']] 
#         ru = [pos[1]['x'], pos[1]['y']]
#         rd = [pos[2]['x'], pos[2]['y']]
#         ld = [pos[3]['x'], pos[3]['y']]

#         x1 = min( pos[0]['x'], pos[3]['x'] )   # 当前行的极左
#         x2 = max( pos[1]['x'], pos[2]['x'] )   # 当前行的极右

#         y1 = min( pos[0]['y'], pos[1]['y'] )   # 当前行的极上
#         y2 = max( pos[2]['y'], pos[3]['y'] )   # 当前行的极下

#         # img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角
#         img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角

#         # cv2.imshow("green", img_color)
#         # cv2.waitKey(0)

#     cv2.imwrite('./tmp.jpg', img_color)

#     if error:
#         print("Error occurred:", error)
#     else:
#         print("Result:", jsn)
# # ocr_one_img()

# def ocr_one_pdf(pth_pdf):
#     """
#       see huggingface/PPOCRLabel  use this to correct ocr result
#     """
#     import cv2
#     import numpy as np
#     import base64
#     import hashlib
#     from pathlib import Path
#     import os
#     import json

#     base = Path(pth_pdf).stem
#     dir = os.path.dirname(pth_pdf)


#     def get_page_image(reader, page_num):
#         page_num = int(page_num)
#         page = reader.pages[page_num - 1]
#         text = page.extract_text()
#         for idx, image_file_object in enumerate(page.images):
#             img_bytes = image_file_object.data
#             img_buffer_numpy = np.frombuffer(img_bytes, dtype=np.uint8)  # 将图片字节码 bytes 转换成一维的 numpy 数组到缓存中
#             ocr_frame = cv2.imdecode(img_buffer_numpy, 1)   # 从指定的内存缓存中读取一维 numpy 数据，并把数据转换(解码)成图像矩阵格式
#             ocr_frame = cv2.cvtColor(ocr_frame, cv2.COLOR_BGR2RGB)
#             # cv2.imshow('test', self.ocr_frame)
#             # cv2.waitKey(0)
#             break
#         return ocr_frame

#     def md5_file(fname):
#         hash_md5 = hashlib.md5()
#         with open(fname, "rb") as f:
#             for chunk in iter(lambda: f.read(4096), b""):
#                 hash_md5.update(chunk)
#         return hash_md5.hexdigest()

#     def md5_bytes(bts):
#         hash_md5 = hashlib.md5()
#         chunk_size = 4096
#         for i in range(0, len(bts), chunk_size):
#             chunk = bts[i:i+chunk_size]
#             hash_md5.update(chunk)
#         return hash_md5.hexdigest()

#     def jsonparse(s):
#         return json.loads(s, strict=False )

#     def jsonstring(d):
#         return json.dumps(d, ensure_ascii=False)

#     from pypdf import PdfReader
#     reader = PdfReader(pth_pdf)
#     number_of_pages = len(reader.pages)

#     # see huggingface/PPOCRLabel/PPOCRLabel.py   for image notation
#     name_pp_label = 'Label.txt'
#     pth_pp_label = os.path.join(dir, name_pp_label)
#     pp_label_text = ''
#         # real/0010.jpg	[{"transcription": "待识别", "points": [[137, 77], [740, 77], [740, 165], [137, 165]], "difficult": false}]
#         # points 是框选的矩形四个角坐标： 左上 右上  右下 左下
#     name_pp_state = 'fileState.txt'
#     pth_pp_state = os.path.join(dir, name_pp_state)
#     pp_state_text = ''
#         # E:\huggingface\pdf_ocr\pdfs\jp\高木直子学日语文法不要想太多\0010.jpg	1
#             # 只能在 windows 平台用绝对路径

    
#     for nth_page in range(1, number_of_pages+1):

#         if nth_page > 1000:
#             break

#         img_color = get_page_image(reader, nth_page)

#         cv2.imwrite('./tmp.jpg', cv2.cvtColor(img_color, cv2.COLOR_RGB2BGR))

#         # 把img 对象编码为jpg 格式
#         success, encoded_image = cv2.imencode(".jpg", cv2.cvtColor(img_color, cv2.COLOR_RGB2BGR))
#         # 将数组转为bytes
#         img_bts = encoded_image.tobytes() # 等价于tostring() 
        
#         m51 = md5_bytes(img_bts)
#         with open('tmp.jpg', 'wb') as f:
#             f.write(img_bts)
#         m52 = md5_file('tmp.jpg')
#         assert m51 == m52

#         img_b64_str = base64.b64encode(img_bts).decode('utf-8')

#         img_name = "{:04d}.jpg".format(nth_page)
#         pth_img = os.path.join(dir, img_name)
#         jsn_name = "{:04d}.json".format(nth_page)
#         pth_jsn = os.path.join(dir, jsn_name)

#         label_left = f'{Path(dir).stem}/{img_name}' # for ppocrlabel
#         label_right = []

#         pp_state_text += 'E:\\huggingface\\pdf_ocr\\'+ dir.replace('/', '\\') + '\\' + "{:04d}.jpg".format(nth_page) + '\t' + '1\n'

#         jsn = None

#         if not os.path.exists(pth_jsn):
#             jsn, error = ali_ocr(img_b64_str, alicr_config)
#             if not jsn:
#                 raise Exception(f'### error: ocr fail. {error}')
            
#             print(jsn)

#             with open(pth_jsn, 'w', encoding='utf-8') as f:
#                 f.write( jsonstring(jsn) )

#             with open(pth_img, 'wb') as f:
#                 f.write(img_bts)
#         else:
#             print(f'### this page ocr already: {pth_jsn}')

#             if not os.path.exists(pth_jsn):
#                 raise Exception(f'### error: not jsn file. {pth_jsn}')
            
#             with open(pth_jsn, 'r', encoding='utf-8') as f:
#                 s = f.read()
#                 jsn = jsonparse(s)
#         if 'prism_wordsInfo' in jsn:
#             wordsInfo = jsn['prism_wordsInfo']
#         else:
#             wordsInfo = []
#         for j in range(len(wordsInfo)):
#             jo = wordsInfo[j]
#             word = jo["word"]

#             # prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
#             angle = jo['angle']

#             word_x = jo['x']
#             word_y = jo['y']
#             word_width = jo['width']
#             word_height = jo['height']

#             if abs(angle) == 90 or abs(angle) == 270:
#                 word_width = jo['height']
#                 word_height = jo['width']

#             pos = jo['pos']

#             # 四个角的位置 左上、右上、右下、左下  顺时针方向
#             lu = [pos[0]['x'], pos[0]['y']] 
#             ru = [pos[1]['x'], pos[1]['y']]
#             rd = [pos[2]['x'], pos[2]['y']]
#             ld = [pos[3]['x'], pos[3]['y']]

#             label_right.append( { "transcription": word, "points":[ lu, ru, rd, ld ] } )

#             x1 = min( pos[0]['x'], pos[3]['x'] )   # 当前行的极左
#             x2 = max( pos[1]['x'], pos[2]['x'] )   # 当前行的极右

#             y1 = min( pos[0]['y'], pos[1]['y'] )   # 当前行的极上
#             y2 = max( pos[2]['y'], pos[3]['y'] )   # 当前行的极下

#             # img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角
#             img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角



#             # cv2.imshow("green", img_color)
#             # cv2.waitKey(0)


#         pp_label_text += f'{label_left}\t{jsonstring(label_right)}\n'

#         cv2.imwrite('./tmp.jpg', cv2.cvtColor(img_color, cv2.COLOR_RGB2BGR))


#         print( f'one page done. {nth_page} / {number_of_pages}' )



#     if not os.path.exists(pth_pp_label):
#         # if exist, maybe ppocrlabel edited already. DO NOT rewrite it!!!
#         if pp_label_text:
#             with open(pth_pp_label, 'w', encoding='utf-8') as f:
#                 f.write(pp_label_text)

#     if not os.path.exists(pth_pp_state):
#         # if exist, maybe ppocrlabel edited already. DO NOT rewrite it!!!
#         if pp_state_text:
#             with open(pth_pp_state, 'w', encoding='utf-8') as f:
#                 f.write(pp_state_text)



# if __name__ == '__main__':

#     # ocr_one_pdf('pdfs/jp/高木直子学日语文法不要想太多/高木直子学日语文法不要想太多.pdf')

#     # ocr_one_pdf('pdfs/jp/刘炳善英汉双解莎士比亚大词典续编/刘炳善英汉双解莎士比亚大词典续编.pdf')
    
#     # ocr_one_pdf('pdfs/en/TIME单挑1000/TIME单挑1000.pdf')

#     # ocr_one_pdf('pdfs/en/TIME片挑200/TIME片挑200.pdf')
    
#     ocr_one_pdf('pdfs/jp/徐一平日本语句型辞典/徐一平日本语句型辞典.pdf')  # 李致雨N2词汇详解 提取的图片几乎不可见，不要了