add jp_ocr.py

jp_ocr.py

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+
+
+# 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
+
+
+
+if __name__ == '__main__':
+
+    import glob
+    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 ]
+
+    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
+    
+