Fix fitz camelCase deprecation and .PDF not being recognized as pdf file (#10181) (#10707)

* Fix fitz camelCase deprecation and .PDF not being recognized as pdf file

* refactor get_image_file_list function

ppocr/utils/utility.py

@@ -62,7 +62,6 @@ def get_image_file_list(img_file):
     if img_file is None or not os.path.exists(img_file):
         raise Exception("not found any img file in {}".format(img_file))
 
-    img_end = {'jpg', 'bmp', 'png', 'jpeg', 'rgb', 'tif', 'tiff', 'gif', 'pdf'}
     if os.path.isfile(img_file) and _check_image_file(img_file):
         imgs_lists.append(img_file)
     elif os.path.isdir(img_file):
@@ -96,7 +95,7 @@ def alpha_to_color(img, alpha_color=(255, 255, 255)):
     return img
 
 def check_and_read(img_path):
-    if os.path.basename(img_path)[-3:] in ['gif', 'GIF']:
+    if os.path.basename(img_path)[-3:].lower() == 'gif':
         gif = cv2.VideoCapture(img_path)
         ret, frame = gif.read()
         if not ret:
@@ -107,19 +106,19 @@ def check_and_read(img_path):
             frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2RGB)
         imgvalue = frame[:, :, ::-1]
         return imgvalue, True, False
-    elif os.path.basename(img_path)[-3:] in ['pdf']:
+    elif os.path.basename(img_path)[-3:].lower() == 'pdf':
         import fitz
         from PIL import Image
         imgs = []
         with fitz.open(img_path) as pdf:
-            for pg in range(0, pdf.pageCount):
+            for pg in range(0, pdf.page_count):
                 page = pdf[pg]
                 mat = fitz.Matrix(2, 2)
-                pm = page.getPixmap(matrix=mat, alpha=False)
+                pm = page.get_pixmap(matrix=mat, alpha=False)
 
                 # if width or height > 2000 pixels, don't enlarge the image
                 if pm.width > 2000 or pm.height > 2000:
-                    pm = page.getPixmap(matrix=fitz.Matrix(1, 1), alpha=False)
+                    pm = page.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False)
 
                 img = Image.frombytes("RGB", [pm.width, pm.height], pm.samples)
                 img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)