| frames = [] | |
| for video_frame in video_tensor: | |
| frame_unnormalized = unnormalize_img(video_frame.permute(1, 2, 0).numpy()) | |
| frames.append(frame_unnormalized) | |
| kargs = {"duration": 0.25} | |
| imageio.mimsave(filename, frames, "GIF", **kargs) | |
| return filename | |
| def display_gif(video_tensor, gif_name="sample.gif"): | |
| """Prepares and displays a GIF from a video tensor.""" |