diff --git a/main/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/main/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 83a5f955650..b17d147827b 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 84bc03ab3cf..c39157a6e08 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 dc9b7d1b381..59b47803d2e 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 b885fb99e0a..7afdb0c0fda 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 5a7c57f7768..ef05b6f1659 100644 --- a/main/_modules/index.html +++ b/main/_modules/index.html @@ -229,7 +229,7 @@
Total running time of the script: (0 minutes 10.493 seconds)
Total running time of the script: (0 minutes 2.331 seconds)
+Total running time of the script: (0 minutes 2.736 seconds)
Download Jupyter notebook: plot_repurposing_annotations.ipynb
Total running time of the script: (0 minutes 1.563 seconds)
+Total running time of the script: (0 minutes 1.744 seconds)
Download Jupyter notebook: plot_scripted_tensor_transforms.ipynb
{'video': ['./dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/1/WUzgd7C1pWA.mp4', './dataset/1/RATRACE_wave_f_nm_np1_fr_goo_37.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/SOX5yA1l24A.mp4'], 'start': [3.4938342230052495, 3.6066270019285667, 0.4752393638260357, 1.22300121121736, 2.8513530674797076], 'end': [4.004, 4.137467, 1.0, 1.735067, 3.370033], '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/SOX5yA1l24A.mp4', './dataset/1/WUzgd7C1pWA.mp4', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi'], 'start': [1.2155949790197547, 2.6447069497349855, 5.97606391868004, 3.970011924875351, 3.6083537926214575], 'end': [1.735067, 3.1698329999999997, 6.5065, 4.471133, 4.137467], '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 4.377 seconds)
+Total running time of the script: (0 minutes 4.458 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 19.136 seconds)
+Total running time of the script: (0 minutes 15.900 seconds)
Download Jupyter notebook: plot_visualization_utils.ipynb
00:36.848 total execution time for 5 files from auto_examples/others:
+00:35.332 total execution time for 5 files from auto_examples/others: