Landing AI: tbs detetion pull request (revise image_open) (#184)

* open image using load_image

* format code

---------

Co-authored-by: QZStudio <1643006760@qq.com>
Co-authored-by: wenmeng.zwm <wenmeng.zwm@alibaba-inc.com>

modelscope/models/cv/ocr_recognition/preprocessor.py

@@ -7,7 +7,6 @@ import cv2
 import numpy as np
 import PIL
 import torch
-import math
 
 from modelscope.metainfo import Preprocessors
 from modelscope.preprocessors import Preprocessor, load_image

modelscope/pipelines/cv/tbs_detection_utils/utils.py

@@ -10,6 +10,8 @@ from matplotlib import pyplot as plt
 from PIL import Image
 from torchvision.ops.boxes import batched_nms, nms
 
+from modelscope.preprocessors.image import load_image
+
 plt.switch_backend('Agg')
 
 
@@ -365,7 +367,7 @@ def post_process(self, outputs, img_path):
         except Exception:
             return
 
-        image = Image.open(img_path)
+        image = load_image(img_path)
         image_shape = np.array(np.shape(image)[0:2])
         top_index = batch_detection[:,
                                     4] * batch_detection[:,