fix input range bug sent to moge

app.py

@@ -137,7 +137,7 @@ def infer_geometry(
 
         frames, height, width, fps = read_video_frames(video, process_length, max_res)
         aspect_ratio = width / height
-        assert 0.5 <= aspect_ratio and aspect_ratio <= 2.0
+        assert 0.5 <= aspect_ratio and aspect_ratio <= 2.0, "Error! The aspect ratio of video must fall in range [0.5, 2]."
         frames_tensor = torch.tensor(frames.astype("float32"), device='cuda').float().permute(0, 3, 1, 2)
         window_size = min(window_size, len(frames))
         if window_size == len(frames): 

geometrycrafter/determ_ppl.py

@@ -109,7 +109,7 @@ class GeometryCrafterDetermPipeline(StableVideoDiffusionPipeline):
     @torch.inference_mode()
     def produce_priors(self, prior_model, frame, chunk_size=8):
         T, _, H, W = frame.shape 
-        frame = (frame + 1) / 2
+        # frame = (frame + 1) / 2
         pred_point_maps = []
         pred_masks = []
         for i in range(0, len(frame), chunk_size):

geometrycrafter/diff_ppl.py

@@ -109,7 +109,7 @@ class GeometryCrafterDiffPipeline(StableVideoDiffusionPipeline):
     @torch.inference_mode()
     def produce_priors(self, prior_model, frame, chunk_size=8):
         T, _, H, W = frame.shape 
-        frame = (frame + 1) / 2
+        # frame = (frame + 1) / 2
         pred_point_maps = []
         pred_masks = []
         for i in range(0, len(frame), chunk_size):