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Updates to the documentation - Maxim by maximpavliv · Pull Request #2869 · DeepLabCut/DeepLabCut · GitHub
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84d409e
tmp build books
maximpavliv Feb 5, 2025
d0041b2
Additional reference points
maximpavliv Feb 7, 2025
b388843
Update course.md
maximpavliv Jan 29, 2025
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Update standardDeepLabCut_UserGuide
maximpavliv Feb 3, 2025
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Update Overviewof3D
maximpavliv Feb 4, 2025
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Update deeplabcutlive
maximpavliv Feb 4, 2025
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Update ModelZoo
maximpavliv Feb 5, 2025
01414a1
Tmp fix create_pretrained_project: create TF trainingset metadata
maximpavliv Feb 6, 2025
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Update UsingModelZooPupil
maximpavliv Feb 6, 2025
bb4e8f7
Remove MegaDetector+DLC from TOC
maximpavliv Feb 6, 2025
1c6e45c
Update Project_gui
maximpavliv Feb 6, 2025
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Update single_animal_quick_guide
maximpavliv Feb 6, 2025
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Update beginner-guides/manage-project
maximpavliv Feb 6, 2025
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Update beginner-guides/labelling
maximpavliv Feb 6, 2025
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Update beguinner-guides/Training-Evaluation
maximpavliv Feb 6, 2025
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Update beginner-guides/video-analysis
maximpavliv Feb 6, 2025
f426233
Update convert_maDLC
maximpavliv Feb 7, 2025
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Update BatchProcessing
maximpavliv Feb 7, 2025
48a1034
Update DLCMethods
maximpavliv Feb 7, 2025
e2080f8
Update ClusteringNapari
maximpavliv Feb 7, 2025
1ff49c2
Update OpenVINO
maximpavliv Feb 7, 2025
1a28105
Update pose_cfg_file_breakdown
maximpavliv Feb 7, 2025
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Update publishing_notebooks
maximpavliv Feb 7, 2025
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Update MISSION_AND_VALUES
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33d6b42
Update Governance
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89f7c6c
Update roadmap
maximpavliv Feb 7, 2025
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pytorch_config.yaml: add gpus list example
maximpavliv Feb 10, 2025
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Update OpenVINO
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maximpavliv committed Feb 10, 2025
commit 1ff49c20b89424d5d4160f712d3b538de9850fa3
13 changes: 9 additions & 4 deletions docs/recipes/OpenVINO.md
Original file line number Diff line number Diff line change
@@ -1,10 +1,15 @@
# Intel OpenVINO backend

::::{warning}
This feature is currently implemented for TensorFlow-based models only.
::::

DeepLabCut provides an option to run deep learning model with [OpenVINO](https://github.com/openvinotoolkit/openvino) backend.
To enable OpenVINO in your pipeline, use `use_openvino` flag of `analyze_videos` method with one of string values indicating device:
* "CPU" - Use CPU. This is a default value.
* "GPU" - Use iGPU (requires OpenCL to be installed). First launch might take some time for kernels initialization.
* "MULTI:CPU,GPU" - Use CPU and GPU simultaneously. In most cases this option provides the best efficiency.
To enable OpenVINO in your pipeline, use `use_openvino` flag of `analyze_videos` method with one of string values
indicating device:
* ```"CPU"``` - Use CPU. This is a default value.
* ```"GPU"``` - Use GPU (requires OpenCL to be installed). First launch might take some time for kernels initialization.
* ```"MULTI:CPU,GPU"``` - Use CPU and GPU simultaneously. In most cases this option provides the best efficiency.

```python
def analyze_videos(
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