| name | stabilizer-backend-change |
| description | Use when changing Classic/Flow motion estimation, OpenCV backend selection, fallback behavior, or stabilization math. |
Stabilizer Backend Change
Use this skill for work on feature tracking, dense optical flow, DIS/TV-L1, transform
fitting, smoothing, crop handling, or fallback behavior.
Context
- Classic estimates sparse feature motion with OpenCV GFTT/LK.
- Flow normally uses OpenCV DIS optical flow.
cv2.optflow is not available in standard OpenCV wheels; TV-L1 requires contrib
OpenCV or an equivalent available API.- Existing sample workflows use the Flow node.
Rules
- Do not assume
cv2 or cv2.optflow exists unless declared and checked.
- If a stronger backend is unavailable, prefer safe fallback:
perspective -> similarity -> translation -> identity.
- Keep fallback metadata auditable (
flow_backend, applied transform mode,
confidence/residual data where available).
- Preserve deterministic behavior for identical frames and inputs.
- Avoid GPU-only dependencies; this node is CPU-oriented.
Useful Checks
python3 scripts/validate_repo.py
python3 -c "import cv2; print(cv2.__version__, hasattr(cv2, 'DISOpticalFlow'), hasattr(cv2, 'optflow'))"
If using a ComfyUI venv, run the cv2 check inside that venv too.
