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@@ -6,5 +6,23 @@ https://doi.org/10.1101/2023.04.28.538703) pose estimation algorithm on the exam
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The example data is located here: https://github.com/danbider/lightning-pose/tree/main/data/mirror-mouse-example
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The output was generated from this [notebook](https://colab.research.google.com/github/danbider/lightning-pose/blob/main/scripts/litpose_training_demo.ipynb)
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+### Example directory structure
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+
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+```
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+/outputs/YYYY-MM-DD/HH-MM-SS/
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+ └── video_preds/
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+ ├── labeled_videos/
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+ ├── test_vid.csv
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+ ├── test_vid_pca_multiview_error.csv
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+ ├── test_vid_pca_singleview_error.csv
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+ └── test_vid_temporal_norm.csv
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+```
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+
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+* `video_preds/`: contains the predictions and metrics from videos.
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+* `video_preds/labeled_videos/`: the labeled mp4 videos
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+* `video_preds/test_vid.mp4`: the original video
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+* `video_preds/test_vid.csv`: the predictions on labeled data (x, y coordinates and confidence)
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+* `video_preds/test_vid_pca_multiview_error.csv`: the pca multiview reprojection error between predictions and labeled keypoints
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+* `video_preds/test_vid_pca_singleview_error.csv`: pca singleview reprojection error between predictions and labeled keypoints
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+* `video_preds/test_vid_temporal_norm.csv`: the temporal norm between predictions and labeled key points
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-The format consists of the original video in mp4 format that was used for predictions, the CSV file that contains the model output (x, y coordinates and confidence), the model metrics in CSV files (e.g. multi-view PCA, temporal norm, pose PCA) and optionally the labeled video in mp4 format.
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