Rework logging (#3358)

Unified all log files into one.

### What problem does this PR solve?

Unified all log files into one.

### Type of change

- [x] Refactoring

deepdoc/vision/operators.py

@@ -20,6 +20,7 @@ import cv2
 import numpy as np
 import math
 from PIL import Image
+from api.utils.log_utils import logger
 
 
 class DecodeImage(object):
@@ -402,7 +403,7 @@ class DetResizeForTest(object):
                 return None, (None, None)
             img = cv2.resize(img, (int(resize_w), int(resize_h)))
         except BaseException:
-            print(img.shape, resize_w, resize_h)
+            logger.exception("{} {} {}".format(img.shape, resize_w, resize_h))
             sys.exit(0)
         ratio_h = resize_h / float(h)
         ratio_w = resize_w / float(w)
@@ -452,7 +453,6 @@ class E2EResizeForTest(object):
         return data
 
     def resize_image_for_totaltext(self, im, max_side_len=512):
-
         h, w, _ = im.shape
         resize_w = w
         resize_h = h

deepdoc/vision/recognizer.py

@@ -19,6 +19,7 @@ from huggingface_hub import snapshot_download
 
 from api.utils.file_utils import get_project_base_directory
 from .operators import *
+from api.utils.log_utils import logger
 
 
 class Recognizer(object):
@@ -439,7 +440,7 @@ class Recognizer(object):
             end_index = min((i + 1) * batch_size, len(imgs))
             batch_image_list = imgs[start_index:end_index]
             inputs = self.preprocess(batch_image_list)
-            print("preprocess")
+            logger.info("preprocess")
             for ins in inputs:
                 bb = self.postprocess(self.ort_sess.run(None, {k:v for k,v in ins.items() if k in self.input_names})[0], ins, thr)
                 res.append(bb)

deepdoc/vision/seeit.py

@@ -14,6 +14,7 @@
 import os
 import PIL
 from PIL import ImageDraw
+from api.utils.log_utils import logger
 
 
 def save_results(image_list, results, labels, output_dir='output/', threshold=0.5):
@@ -24,7 +25,7 @@ def save_results(image_list, results, labels, output_dir='output/', threshold=0.
 
         out_path = os.path.join(output_dir, f"{idx}.jpg")
         im.save(out_path, quality=95)
-        print("save result to: " + out_path)
+        logger.info("save result to: " + out_path)
 
 
 def draw_box(im, result, lables, threshold=0.5):

deepdoc/vision/t_recognizer.py

@@ -10,7 +10,10 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
-import os, sys
+import os
+import sys
+from api.utils.log_utils import logger
+
 sys.path.insert(
     0,
     os.path.abspath(
@@ -56,7 +59,7 @@ def main(args):
             } for t in lyt]
         img = draw_box(images[i], lyt, labels, float(args.threshold))
         img.save(outputs[i], quality=95)
-        print("save result to: " + outputs[i])
+        logger.info("save result to: " + outputs[i])
 
 
 def get_table_html(img, tb_cpns, ocr):