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0.16/_sources/auto_examples/others/plot_optical_flow.rst.txt

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.. rst-class:: sphx-glr-timing
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.. _sphx_glr_download_auto_examples_others_plot_optical_flow.py:

0.16/_sources/auto_examples/others/plot_repurposing_annotations.rst.txt

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.. _sphx_glr_download_auto_examples_others_plot_repurposing_annotations.py:

0.16/_sources/auto_examples/others/plot_scripted_tensor_transforms.rst.txt

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.. _sphx_glr_download_auto_examples_others_plot_scripted_tensor_transforms.py:

0.16/_sources/auto_examples/others/plot_video_api.rst.txt

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/pytorch/vision/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).
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warnings.warn(
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{'video': ['./dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi'], 'start': [1.0105714579990077, 1.4112325561163752, 0.2561907936526305, 1.0557042088788688, 6.0416417274969625], 'end': [1.534867, 1.9352669999999998, 0.7674329999999999, 1.568233, 6.573233], 'tensorsize': [torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112])]}
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{'video': ['./dataset/1/RATRACE_wave_f_nm_np1_fr_goo_37.avi', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi'], 'start': [1.2933978369482158, 1.7918684185786267, 4.373791147055652, 3.9307513195312067, 3.6426948895065263], 'end': [1.7999999999999998, 2.3023, 4.9049, 4.437767, 4.170833], 'tensorsize': [torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112])]}
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.. _sphx_glr_download_auto_examples_others_plot_video_api.py:

0.16/_sources/auto_examples/others/plot_visualization_utils.rst.txt

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.. _sphx_glr_download_auto_examples_others_plot_visualization_utils.py:

0.16/_sources/auto_examples/others/sg_execution_times.rst.txt

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Computation times
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=================
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**00:43.382** total execution time for **auto_examples_others** files:
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**00:34.118** total execution time for **auto_examples_others** files:
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| :ref:`sphx_glr_auto_examples_others_plot_visualization_utils.py` (``plot_visualization_utils.py``) | 00:24.360 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_visualization_utils.py` (``plot_visualization_utils.py``) | 00:14.555 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_optical_flow.py` (``plot_optical_flow.py``) | 00:09.992 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_optical_flow.py` (``plot_optical_flow.py``) | 00:10.096 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_video_api.py` (``plot_video_api.py``) | 00:04.643 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_video_api.py` (``plot_video_api.py``) | 00:05.277 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_repurposing_annotations.py` (``plot_repurposing_annotations.py``) | 00:02.715 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_repurposing_annotations.py` (``plot_repurposing_annotations.py``) | 00:02.507 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_scripted_tensor_transforms.py` (``plot_scripted_tensor_transforms.py``) | 00:01.672 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_others_plot_scripted_tensor_transforms.py` (``plot_scripted_tensor_transforms.py``) | 00:01.683 | 0.0 MB |
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