refactor(model): improve timing information and performance

- Enhance timing output precision to two decimal places for better readability- Calculate and log document analysis speed in pages per second
- Optimize logging for YOLO and table recognition processes
- Remove unnecessary comments and improve code efficiency

magic_pdf/model/doc_analyze_by_custom_model.py

@@ -134,7 +134,10 @@ def doc_analyze(pdf_bytes: bytes, ocr: bool = False, show_log: bool = False,
         page_info = {"page_no": index, "height": page_height, "width": page_width}
         page_dict = {"layout_dets": result, "page_info": page_info}
         model_json.append(page_dict)
-    doc_analyze_cost = time.time() - doc_analyze_start
-    logger.info(f"doc analyze cost: {doc_analyze_cost}")
+
+    doc_analyze_time = round(time.time() - doc_analyze_start, 2)
+    doc_analyze_speed = round( (end_page_id + 1 - start_page_id) / doc_analyze_time, 2)
+    logger.info(f"doc analyze time: {round(time.time() - doc_analyze_start, 2)},"
+                f" speed: {doc_analyze_speed} pages/second")
 
     return model_json

magic_pdf/model/pdf_extract_kit.py

@@ -7,6 +7,7 @@ from magic_pdf.libs.clean_memory import clean_memory
 from magic_pdf.model.model_list import AtomicModel
 
 os.environ['NO_ALBUMENTATIONS_UPDATE'] = '1'  # 禁止albumentations检查更新
+os.environ['YOLO_VERBOSE'] = 'False'  # disable yolo logger
 try:
     import cv2
     import yaml
@@ -274,6 +275,8 @@ class CustomPEKModel:
 
     def __call__(self, image):
 
+        page_start = time.time()
+
         latex_filling_list = []
         mf_image_list = []
 
@@ -281,13 +284,15 @@ class CustomPEKModel:
         layout_start = time.time()
         layout_res = self.layout_model(image, ignore_catids=[])
         layout_cost = round(time.time() - layout_start, 2)
-        logger.info(f"layout detection cost: {layout_cost}")
+        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()
             mfd_res = self.mfd_model.predict(image, imgsz=1888, conf=0.25, iou=0.45, verbose=True)[0]
+            logger.info(f"mfd time: {round(time.time() - mfd_start, 2)}")
             for xyxy, conf, cla in zip(mfd_res.boxes.xyxy.cpu(), mfd_res.boxes.conf.cpu(), mfd_res.boxes.cls.cpu()):
                 xmin, ymin, xmax, ymax = [int(p.item()) for p in xyxy]
                 new_item = {
@@ -381,7 +386,7 @@ class CustomPEKModel:
                         })
 
             ocr_cost = round(time.time() - ocr_start, 2)
-            logger.info(f"ocr cost: {ocr_cost}")
+            logger.info(f"ocr time: {ocr_cost}")
 
         # 表格识别 table recognition
         if self.apply_table:
@@ -389,7 +394,7 @@ class CustomPEKModel:
             for res in table_res_list:
                 new_image, _ = crop_img(res, pil_img)
                 single_table_start_time = time.time()
-                logger.info("------------------table recognition processing begins-----------------")
+                # logger.info("------------------table recognition processing begins-----------------")
                 latex_code = None
                 html_code = None
                 if self.table_model_type == STRUCT_EQTABLE:
@@ -399,7 +404,7 @@ class CustomPEKModel:
                     html_code = self.table_model.img2html(new_image)
 
                 run_time = time.time() - single_table_start_time
-                logger.info(f"------------table recognition processing ends within {run_time}s-----")
+                # logger.info(f"------------table recognition processing ends within {run_time}s-----")
                 if run_time > self.table_max_time:
                     logger.warning(f"------------table recognition processing exceeds max time {self.table_max_time}s----------")
                 # 判断是否返回正常
@@ -410,12 +415,13 @@ class CustomPEKModel:
                     if expected_ending:
                         res["latex"] = latex_code
                     else:
-                        logger.warning(f"------------table recognition processing fails----------")
+                        logger.warning(f"table recognition processing fails, not found expected LaTeX table end")
                 elif html_code:
                     res["html"] = html_code
                 else:
-                    logger.warning(f"------------table recognition processing fails----------")
-            table_cost = round(time.time() - table_start, 2)
-            logger.info(f"table cost: {table_cost}")
+                    logger.warning(f"table recognition processing fails, not get latex or html return")
+            logger.info(f"table time: {round(time.time() - table_start, 2)}")
+
+        logger.info(f"-----page total time: {round(time.time() - page_start, 2)}-----")
 
         return layout_res