ð§âðŦ Tutorialsï
For up-to-date and additional tutorials, see markdown content on the SimBA GitHub repository
- ðĶ Animal-anchored ROIs (bounding-boxes) in SimBA
- ðŦ§ Blob tracking data project in SimBA
- ðŦ§ Blob tracking in SimBA
- âąïļ Calculating forward-spike time tiling coefficients in SimBA
- ðĄ Cue light analysis in SimBA
- ð FaceMap data in SimBA
- ð§Đ Feature sub-sets in SimBA
- ⥠GPU vs CPU runtimes by video processing function
- ð Kleinberg behavior classification smoothing in SimBA
- ð Light dark box analysis in SimBA
- ð§ Model explainability and feature SHAP values in SimBA
- â Post-classification validation (detecting false-positives)
- âïļ Refactor classifications according to mutual exclusivity rules
- ð Regions of interest (ROIs) in SimBA
- ð§ SimBA tools reference
- ðŽ SimBA visualization methods
- ð Spontaneous alternation in SimBA
- ð SuperAnimal-Topview data in SimBA
- ⥠Train random forest models on GPU in SimBA
- ðïļ Tutorial for processing videos in batch
- ð ïļ User-defined feature extraction script in SimBA
- ðĶī User-defined pose-configurations in SimBA
- ð Using multi-animal pose-estimation data in SimBA
- ðŊ Validate model on single video
- ð Who is looking at who: directionality between animals in SimBA
- ðĒ YOLO pose estimation: inference in SimBA
- ðĒ YOLO pose estimation: training in SimBA
- ðĒ YOLO pose estimation: visualization in SimBA
- Global Configuration Options