init project

app.py

@@ -256,7 +256,7 @@ def slerp_multiple(vectors, t_values):
     
     return interpolated_vector
 
-# @torch.no_grad
+@torch.no_grad
 def get_mask_from_img_sam1(yolov8, mobilesamv2, sam1_image, yolov8_image, original_size, input_size, transform):
 
     device = 'cuda' if torch.cuda.is_available() else 'cpu'
@@ -313,7 +313,7 @@ def get_mask_from_img_sam1(yolov8, mobilesamv2, sam1_image, yolov8_image, origin
 
     return ret_mask
 
-# @torch.no_grad
+@torch.no_grad
 def get_cog_feats(images, sam2, siglip, siglip_processor, yolov8, mobilesamv2):
 
     device = 'cuda' if torch.cuda.is_available() else 'cpu'