uemove imageio for testing

app.py

@@ -10,7 +10,7 @@ import torch
 from decord import cpu, VideoReader
 from diffusers.training_utils import set_seed
 import torch.nn.functional as F
-import imageio
+# import imageio
 from kornia.filters import canny
 from kornia.morphology import dilation
 
@@ -183,8 +183,8 @@ def infer_geometry(
         output_disp_path.parent.mkdir(exist_ok=True)
             
         colored_disp = pmap_to_disp(point_maps, valid_masks)
-        imageio.mimsave(
-            output_disp_path, (colored_disp*255).cpu().numpy().astype(np.uint8), fps=fps, macro_block_size=1)
+        # imageio.mimsave(
+        #     output_disp_path, (colored_disp*255).cpu().numpy().astype(np.uint8), fps=fps, macro_block_size=1)
 
 
         # downsample for visualization

requirements.txt

@@ -14,4 +14,4 @@ opencv-python==4.10.0.84
 h5py==3.12.1
 moderngl==5.12.0
 piqp==0.4.2
-imageio==2.36.0
+# imageio==2.36.0