done.

.gitignore

@@ -1,4 +1,5 @@
-node_modules
+node_modules/
+data/
 world\[trim\]
 sqlean/
 llama.cpp/

convert_ocr_result.py

@@ -1,6 +1,6 @@
 
 
-# pdfs 下的识别结果转成 ocr 的格试 image/md5.txt json/md5.json ，给 hubggingface/project/ocr/ocrServer/data 这里用
+# pdfs 下的识别结果转成 ocr 的格试 image/md5.txt json/md5.json ， 拷贝到这里 hubggingface/project/ocr/ocrServer/data ，就不用重新识别了
 
 # see huggingface/project/ocr/tools/flask_auto_selection.py
 
@@ -9,7 +9,10 @@ import cv2
 import json
 import base64
 import os
+import shutil
 import hashlib
+import glob
+import re
 
 def md5(fname):
     hash_md5 = hashlib.md5()
@@ -20,54 +23,76 @@ def md5(fname):
 
 if __name__ == '__main__':
 
+    dir_book = 'pdfs/jp/徐一平日本语句型辞典'
+
     dir = 'data'
     if os.path.exists(dir):
-        import shutil
         shutil.rmtree(dir)
         os.makedirs(os.path.join(dir, 'img'))
         os.makedirs(os.path.join(dir, 'json'))
+        os.makedirs(os.path.join(dir, os.path.basename(dir_book)))
+
     
-    dir_book = 'pdfs/jp/徐一平日本语句型辞典'
+
 
     
+    pths = glob.glob(dir_book + '/*.jpg', recursive=False)
 
+    pths = sorted(pths, key=lambda p:(
+        match := re.findall(r'.+?(\d+)\.jpg', p),
+        number := int(match[0]),
+        number # 如果第一项相等就会比较第二项
+    ))
 
-    imgData = np.fromfile('pdfs/jp/徐一平日本语句型辞典/0001.jpg', dtype=np.uint8)
-    img = cv2.imdecode(imgData, cv2.IMREAD_UNCHANGED)
-    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-    # 把img 对象编码为jpg 格式
-    success, encoded_image = cv2.imencode(".jpg", img)
-    img_bytes = encoded_image.tobytes()
-    base64_str = base64.b64encode(img_bytes).decode('ascii')
+    for idx, pth in enumerate(pths):
 
+        m5 = md5(pth)
+        p_j = pth.replace('.jpg', '.json')
+        if not os.path.exists(p_j):
+            raise Exception(f'##### error: json not found. {p_j}')
 
-    img_bytes_restored = base64.b64decode(base64_str)
-    imgdata_restored = np.frombuffer(img_bytes_restored, dtype=np.uint8) # .reshape(img.shape)
-    img_restored = cv2.imdecode(imgdata_restored, cv2.IMREAD_UNCHANGED)
-    fp = 'data/0003.jpg'
+        imgData = np.fromfile(pth, dtype=np.uint8)
+        img = cv2.imdecode(imgData, cv2.IMREAD_UNCHANGED)
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        # 把img 对象编码为jpg 格式
+        success, encoded_image = cv2.imencode(".jpg", img)
+        img_bytes = encoded_image.tobytes()
+        base64_str = base64.b64encode(img_bytes).decode('ascii')
 
-    m5 = md5(fp)
-    
+        img_bytes_restored = base64.b64decode(base64_str)
+        imgdata_restored = np.frombuffer(img_bytes_restored, dtype=np.uint8) # .reshape(img.shape)
+        img_restored = cv2.imdecode(imgdata_restored, cv2.IMREAD_UNCHANGED)
+
+
+        pth_img = os.path.join(dir, 'img/{}.txt'.format(m5))
+        pth_json = os.path.join(dir, 'json/{}.json'.format(m5))
+        pth_book = os.path.join(dir, os.path.basename(dir_book))
+
+        with open(pth_img, 'w', encoding='utf-8') as f:
+            f.write(base64_str)
+
+        dest = shutil.copy(p_j, pth_json)
+
+        dest = shutil.copy(pth, pth_book)  
 
-    pth_img = os.path.join(dir, 'img/{}.txt'.format(m5))
-    pth_json = os.path.join(dir, 'json/{}.json'.format(m5))
+        if not os.path.exists(pth_img):  # 没有相应的图片，可能被删除了
+            # raise Exception(f'Warnnig: no image {pth_img}')
+            print( f'Warnnig: no image {pth_img}' )
+            pass
 
-    if not os.path.exists(pth_img):  # 没有相应的图片，可能被删除了
-        # raise Exception(f'Warnnig: no image {pth_img}')
-        print( f'Warnnig: no image {pth_img}' )
-        pass
+        if not os.path.exists(pth_json):
+            # raise Exception(f'Warnnig: no image {pth_json}')
+            pass
 
-    if not os.path.exists(pth_json):
-        # raise Exception(f'Warnnig: no image {pth_json}')
-        pass
+        # with open(pth_img, "r", encoding="utf-8") as fp:
+        #     imgdata = fp.read()
+        #     imgdata = base64.b64decode(imgdata)
+        #     imgdata = np.frombuffer(imgdata, np.uint8)
+        #     img = cv2.imdecode(imgdata, cv2.IMREAD_UNCHANGED)
 
-    with open(pth_img, "r", encoding="utf-8") as fp:
-        imgdata = fp.read()
-        imgdata = base64.b64decode(imgdata)
-        imgdata = np.frombuffer(imgdata, np.uint8)
-        img = cv2.imdecode(imgdata, cv2.IMREAD_UNCHANGED)
+            # cv2.imshow('img', img)
+            # cv2.waitKey(0)
 
-        cv2.imshow('img', img)
-        cv2.waitKey(0)
+        print( f'one task done. {idx+1} / {len(pths)}' )
 
-    pass
+    print( 'all task done.' )