Update app.py

app.py

@@ -395,16 +395,16 @@ def track(
         colors.extend(frame_colors)
     colors = np.array(colors)
 
-    # pred_tracks = (pred_tracks * torch.tensor([video_preview.shape[2], video_preview.shape[1]]).to(device) / torch.tensor([VIDEO_INPUT_RESO[1], VIDEO_INPUT_RESO[0]]).to(device))
+    pred_tracks = (pred_tracks * torch.tensor([video_preview.shape[2], video_preview.shape[1]]).to(device) / torch.tensor([VIDEO_INPUT_RESO[1], VIDEO_INPUT_RESO[0]]).to(device))
     
-    # vis = Visualizer(save_dir="./saved_videos", pad_value=0, linewidth=1, tracks_leave_trace=0)
+    vis = Visualizer(save_dir="./saved_videos", pad_value=0, linewidth=1, tracks_leave_trace=0)
     # segm_mask = torch.zeros(queries.shape[1])
     # segm_mask[:num_tracks] = 1
     # print('segm_mask',segm_mask.shape, segm_mask)
     # segm_mask=segm_mask, 
-    # painted_video = vis.visualize(torch.tensor(video_preview).permute(0, 3, 1, 2)[None].to(pred_tracks.device), pred_tracks, pred_visibility, save_video=False)[0].permute(0, 2, 3, 1).cpu().numpy()
+    painted_video = vis.visualize(torch.tensor(video_preview).permute(0, 3, 1, 2)[None].to(pred_tracks.device), pred_tracks, pred_visibility, save_video=False)[0].permute(0, 2, 3, 1).cpu().numpy()
     
-    painted_video = paint_point_track(video_preview,tracks,pred_occ,colors)
+    # painted_video = paint_point_track(video_preview,tracks,pred_occ,colors)
 
     # save video
     video_file_name = uuid.uuid4().hex + ".mp4"