Tutorials

This page points to the practical tutorial material that exists in the repository today.

Video Walkthroughs

• Tracking four interacting mice with one labeled frame
• Annolid YouTube channel
• Annolid playlist

Focused Markdown Tutorials

• Segment-based batch tracking
• LabelMe to YOLO class mapping
• Sandboxed shell for Annolid Bot
• MCP setup and usage
• SAM 3D integration

Notebook Tutorials in docs/tutorials/

Representative notebooks currently tracked in the repo:

• docs/tutorials/Extract_frames_from_a_video.ipynb
• docs/tutorials/yolov8_tracking_tutorial.ipynb
• docs/tutorials/Annolid_video_batch_inference.ipynb
• docs/tutorials/Annolid_model_evaluation.ipynb
• docs/tutorials/Annolid_Pose_Estimation_on_YOLO_Tutorial.ipynb
• docs/tutorials/Annolid_Instance_Segmentation_on_YOLO_Tutorial.ipynb
• docs/tutorials/YOLO_SAHI_inference_for_ultralytics.ipynb
• docs/tutorials/zero_shot_object_detection_and_tracking_with_grounding_dino.ipynb
• docs/tutorials/RAFT_optical_flow.ipynb
• docs/tutorials/Annolid_behavior_video_classification_on_slowfast.ipynb

How To Choose

• Start with the GUI/video workflow if you are labeling or reviewing data interactively.
• Use the notebook tutorials when you need training, evaluation, or post-processing examples.
• Use the markdown guides when you need an operational setup such as MCP, sandboxed shell execution, or batch tracking.

Repository-first Note

Some older docs still link to historical book content, but the current maintained tutorial sources for this repo live under docs/ and docs/tutorials/.