Add check_requirements() (#1853)

* Add check_requirements()

* add import

* parameterize filename

* add to detect, test

detect.py

@@ -9,8 +9,8 @@ from numpy import random
 
 from models.experimental import attempt_load
 from utils.datasets import LoadStreams, LoadImages
-from utils.general import check_img_size, non_max_suppression, apply_classifier, scale_coords, xyxy2xywh, \
-    strip_optimizer, set_logging, increment_path
+from utils.general import check_img_size, check_requirements, non_max_suppression, apply_classifier, scale_coords, \
+    xyxy2xywh, strip_optimizer, set_logging, increment_path
 from utils.plots import plot_one_box
 from utils.torch_utils import select_device, load_classifier, time_synchronized
 
@@ -162,6 +162,7 @@ if __name__ == '__main__':
     parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment')
     opt = parser.parse_args()
     print(opt)
+    check_requirements()
 
     with torch.no_grad():
         if opt.update:  # update all models (to fix SourceChangeWarning)