diff --git a/main/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/main/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 8b39376e552..ac830c1d04a 100644 Binary files a/main/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip and b/main/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip differ diff --git a/main/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/main/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip index 3a249fbdb91..ee0729e6918 100644 Binary files a/main/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip and b/main/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ diff --git a/main/_images/sphx_glr_plot_video_api_001.png b/main/_images/sphx_glr_plot_video_api_001.png index 4a799c67150..aecb59bfb67 100644 Binary files a/main/_images/sphx_glr_plot_video_api_001.png and b/main/_images/sphx_glr_plot_video_api_001.png differ diff --git a/main/_images/sphx_glr_plot_video_api_thumb.png b/main/_images/sphx_glr_plot_video_api_thumb.png index fc4064df0fc..e54c90c84ad 100644 Binary files a/main/_images/sphx_glr_plot_video_api_thumb.png and b/main/_images/sphx_glr_plot_video_api_thumb.png differ diff --git a/main/_modules/index.html b/main/_modules/index.html index 33b8e002e2e..1b737fb5fa7 100644 --- a/main/_modules/index.html +++ b/main/_modules/index.html @@ -229,7 +229,7 @@
Total running time of the script: (0 minutes 9.758 seconds)
Total running time of the script: (0 minutes 2.475 seconds)
+Total running time of the script: (0 minutes 2.410 seconds)
Download Jupyter notebook: plot_repurposing_annotations.ipynb
Total running time of the script: (0 minutes 1.582 seconds)
+Total running time of the script: (0 minutes 1.670 seconds)
Download Jupyter notebook: plot_scripted_tensor_transforms.ipynb
{'video': ['./dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/SOX5yA1l24A.mp4', './dataset/1/WUzgd7C1pWA.mp4', './dataset/1/WUzgd7C1pWA.mp4'], 'start': [6.331975483632505, 5.592305790920341, 8.825136662280206, 2.2907216036637745, 5.125185943674754], 'end': [6.840167, 6.1061, 9.342666999999999, 2.8028, 5.638967], '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])]}
+{'video': ['./dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/SOX5yA1l24A.mp4', './dataset/1/RATRACE_wave_f_nm_np1_fr_goo_37.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/SOX5yA1l24A.mp4'], 'start': [3.3015236596560946, 1.1672480118924176, 0.835641860385367, 2.887917593704005, 2.7938305933100254], 'end': [3.8038, 1.6683329999999998, 1.3666669999999999, 3.4034, 3.3032999999999997], '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])]}
@@ -881,7 +881,7 @@ 4. Data Visualizationshutil.rmtree("./dataset")
Total running time of the script: (0 minutes 4.393 seconds)
+Total running time of the script: (0 minutes 4.408 seconds)
Download Jupyter notebook: plot_video_api.ipynb
keypointrcnn_resnet50_fpn()
model,
which we used in the first case, does so too.
-Total running time of the script: (0 minutes 14.804 seconds)
+Total running time of the script: (0 minutes 14.504 seconds)
Download Jupyter notebook: plot_visualization_utils.ipynb
00:33.006 total execution time for 5 files from auto_examples/others:
+00:32.750 total execution time for 5 files from auto_examples/others: