perf(layout): optimize layout detection for PDF extraction

- Add initial setup for layout detection
- Implement conditional cropping for tall images
- Skip cropping for wide images to improve performance
- Reuse Image object across layout detection steps

magic_pdf/model/pdf_extract_kit.py

@@ -171,6 +171,10 @@ class CustomPEKModel:
 
     def __call__(self, image):
 
+        pil_img = Image.fromarray(image)
+        width, height = pil_img.size
+        # logger.info(f'width: {width}, height: {height}')
+
         # layout检测
         layout_start = time.time()
         layout_res = []
@@ -179,11 +183,9 @@ class CustomPEKModel:
             layout_res = self.layout_model(image, ignore_catids=[])
         elif self.layout_model_name == MODEL_NAME.DocLayout_YOLO:
             # doclayout_yolo
-            img_pil = Image.fromarray(image)
-            width, height = img_pil.size
-            # logger.info(f'width: {width}, height: {height}')
+            if height > width:
                 input_res = {"poly":[0,0,width,0,width,height,0,height]}
-            new_image, useful_list = crop_img(input_res, img_pil, crop_paste_x=width//2, crop_paste_y=0)
+                new_image, useful_list = crop_img(input_res, pil_img, crop_paste_x=width//2, crop_paste_y=0)
                 paste_x, paste_y, xmin, ymin, xmax, ymax, new_width, new_height = useful_list
                 layout_res = self.layout_model.predict(new_image)
                 for res in layout_res:
@@ -197,12 +199,12 @@ class CustomPEKModel:
                     p7 = p7 - paste_x + xmin
                     p8 = p8 - paste_y + ymin
                     res['poly'] = [p1, p2, p3, p4, p5, p6, p7, p8]
+            else:
+                layout_res = self.layout_model.predict(image)
 
         layout_cost = round(time.time() - layout_start, 2)
         logger.info(f'layout detection time: {layout_cost}')
 
-        pil_img = Image.fromarray(image)
-
         if self.apply_formula:
             # 公式检测
             mfd_start = time.time()

magic_pdf/post_proc/__init__.py

+# Copyright (c) Opendatalab. All rights reserved.