Fix requirements

fastdeploy/vision/evaluation/classify.py

@@ -12,10 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import numpy as np
-import cv2
 import os
 import re
-from tqdm import trange
 
 
 def topk_accuracy(topk_list, label_list):
@@ -25,6 +23,9 @@ def topk_accuracy(topk_list, label_list):
 
 
 def eval_classify(model, image_file_path, label_file_path, topk=5):
+    from tqdm import trange
+    import cv2
+
     result_list = []
     label_list = []
     image_label_dict = {}

fastdeploy/vision/evaluation/detection.py

@@ -12,11 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from tqdm import trange
-import cv2
 import numpy as np
-from .utils import CocoDetection
-from .utils import COCOMetric
 import copy
 import collections
 
@@ -27,6 +23,11 @@ def eval_detection(model,
                    conf_threshold=None,
                    nms_iou_threshold=None,
                    plot=False):
+    from .utils import CocoDetection
+    from .utils import COCOMetric
+    import cv2
+    from tqdm import trange 
+
     if conf_threshold is not None or nms_iou_threshold is not None:
         assert conf_threshold is not None and nms_iou_threshold is not None, "The conf_threshold and nms_iou_threshold should be setted at the same time"
         assert isinstance(conf_threshold, (

requirements.txt

@@ -1,5 +1 @@
-opencv-python
-tqdm
-numpy
-pycocotools
-colorama
+requests