fix online demo
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721fcc237b
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3716e36249
@ -52,25 +52,33 @@ if __name__ == "__main__":
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window_frames = []
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window_frames = []
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def _process_step(window_frames, is_first_step, grid_size):
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def _process_step(window_frames, is_first_step, grid_size, grid_query_frame):
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video_chunk = (
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video_chunk = (
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torch.tensor(np.stack(window_frames[-model.step * 2 :]), device=DEFAULT_DEVICE)
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torch.tensor(np.stack(window_frames[-model.step * 2 :]), device=DEFAULT_DEVICE)
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.float()
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.float()
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.permute(0, 3, 1, 2)[None]
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.permute(0, 3, 1, 2)[None]
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) # (1, T, 3, H, W)
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) # (1, T, 3, H, W)
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return model(video_chunk, is_first_step=is_first_step, grid_size=grid_size)
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return model(
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video_chunk,
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is_first_step=is_first_step,
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grid_size=grid_size,
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grid_query_frame=grid_query_frame,
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)
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# Iterating over video frames, processing one window at a time:
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# Iterating over video frames, processing one window at a time:
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is_first_step = True
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is_first_step = True
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for i, frame in enumerate(
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for i, frame in enumerate(
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iio.imiter(
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iio.imiter(
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"https://github.com/facebookresearch/co-tracker/blob/main/assets/apple.mp4",
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"./assets/apple.mp4",
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plugin="FFMPEG",
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plugin="FFMPEG",
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)
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)
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):
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):
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if i % model.step == 0 and i != 0:
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if i % model.step == 0 and i != 0:
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pred_tracks, pred_visibility = _process_step(
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pred_tracks, pred_visibility = _process_step(
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window_frames, is_first_step, grid_size=args.grid_size
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window_frames,
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is_first_step,
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grid_size=args.grid_size,
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grid_query_frame=args.grid_query_frame,
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)
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)
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is_first_step = False
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is_first_step = False
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window_frames.append(frame)
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window_frames.append(frame)
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@ -79,6 +87,7 @@ if __name__ == "__main__":
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window_frames[-(i % model.step) - model.step - 1 :],
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window_frames[-(i % model.step) - model.step - 1 :],
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is_first_step,
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is_first_step,
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grid_size=args.grid_size,
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grid_size=args.grid_size,
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grid_query_frame=args.grid_query_frame,
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)
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)
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print("Tracks are computed")
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print("Tracks are computed")
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