Use consistent log file names, introduced initLogger (#3403)

### What problem does this PR solve?

Use consistent log file names, introduced initLogger

### Type of change

- [ ] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [x] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

deepdoc/vision/operators.py

@@ -14,13 +14,13 @@
 #  limitations under the License.
 #
 
+import logging
 import sys
 import six
 import cv2
 import numpy as np
 import math
 from PIL import Image
-from api.utils.log_utils import logger
 
 
 class DecodeImage(object):
@@ -403,7 +403,7 @@ class DetResizeForTest(object):
                 return None, (None, None)
             img = cv2.resize(img, (int(resize_w), int(resize_h)))
         except BaseException:
-            logger.exception("{} {} {}".format(img.shape, resize_w, resize_h))
+            logging.exception("{} {} {}".format(img.shape, resize_w, resize_h))
             sys.exit(0)
         ratio_h = resize_h / float(h)
         ratio_w = resize_w / float(w)

deepdoc/vision/recognizer.py

@@ -11,6 +11,7 @@
 #  limitations under the License.
 #
 
+import logging
 import os
 from copy import deepcopy
 
@@ -19,7 +20,6 @@ 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):
@@ -440,7 +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)
-            logger.info("preprocess")
+            logging.debug("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

@@ -11,10 +11,10 @@
 #  limitations under the License.
 #
 
+import logging
 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):
@@ -25,7 +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)
-        logger.info("save result to: " + out_path)
+        logging.debug("save result to: " + out_path)
 
 
 def draw_box(im, result, lables, threshold=0.5):

deepdoc/vision/t_recognizer.py

@@ -10,9 +10,9 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
+import logging
 import os
 import sys
-from api.utils.log_utils import logger
 
 sys.path.insert(
     0,
@@ -59,7 +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)
-        logger.info("save result to: " + outputs[i])
+        logging.info("save result to: " + outputs[i])
 
 
 def get_table_html(img, tb_cpns, ocr):

deepdoc/vision/table_structure_recognizer.py

@@ -38,7 +38,7 @@ class TableStructureRecognizer(Recognizer):
             super().__init__(self.labels, "tsr", os.path.join(
                     get_project_base_directory(),
                     "rag/res/deepdoc"))
-        except Exception as e:
+        except Exception:
             super().__init__(self.labels, "tsr", snapshot_download(repo_id="InfiniFlow/deepdoc",
                                               local_dir=os.path.join(get_project_base_directory(), "rag/res/deepdoc"),
                                               local_dir_use_symlinks=False))