update augs

yolov5/detect.py

@@ -38,6 +38,8 @@ test_random_transforms = torchvision.transforms.Compose([
     torchvision.transforms.RandomGrayscale(p=0.4),
     torchvision.transforms.RandomPerspective(0.4, p=0.4),
     torchvision.transforms.RandomAdjustSharpness(2),
+    torchvision.transforms.RandomAffine(degrees=0, translate=None, scale=(0.9, 1.0)),
+    torchvision.transforms.RandomHorizontalFlip(),
     torchvision.transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),
     torchvision.transforms.Resize((224, 224)),
 ])
@@ -96,7 +98,6 @@ def predict(
     # Process predictions
     preds = []
 
- 
     for i, det in enumerate(pred):  # per image
         
         # im0 = im0.copy()