not done yet.

convert_ocr_result.py

@@ -8,15 +8,66 @@ import numpy as np
 import cv2
 import json
 import base64
+import os
+import hashlib
+
+def md5(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()
 
 if __name__ == '__main__':
+
+    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'))
+    
+    dir_book = 'pdfs/jp/徐一平日本语句型辞典'
+
+    
+
+
     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_bytes = img.tobytes()
-    base64_str = base64.b64encode(img_bytes).decode('utf-8')
+    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')
+
+
+    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'
+
+    m5 = md5(fp)
+    
+
+    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_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)
 
-    # imgdata2 = base64.b64decode(base64_str)
-    # imgdata2 = np.frombuffer(imgdata2, np.uint8)
-    # img2 = cv2.imdecode(imgdata2, -1)
+        cv2.imshow('img', img)
+        cv2.waitKey(0)
 
     pass