Update app.py

app.py

@@ -28,9 +28,9 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
 outdir = "/tmp/rayst3r"
 
 moge_model = MoGeModel.from_pretrained("Ruicheng/moge-vitl").to(device)
-dino_model = torch.hub.load('facebookresearch/dinov2', "dinov2_vitl14_reg")
-dino_model.eval()
-dino_model.to(device)
+# dino_model = torch.hub.load('facebookresearch/dinov2', "dinov2_vitl14_reg")
+# dino_model.eval()
+# dino_model.to(device)
 
 # print("Loading RaySt3R model")
 # rayst3r_checkpoint = hf_hub_download("bartduis/rayst3r", "rayst3r.pth")
@@ -204,8 +204,8 @@ def process_image(input_img):
     input_glb = input_to_glb(outdir,input_img,depth_dict,mask,rotated=rotated)
     print('Input done')
     print('calling Ray')
-    inference_glb = rayst3r_to_glb(input_img,depth_dict,mask,rotated=rotated)
-    print(input_glb)
+    # inference_glb = rayst3r_to_glb(input_img,depth_dict,mask,rotated=rotated)
+    # print(input_glb)
     return input_img, input_img
 
 # def process_image(input_img):