Document frame selector ranking

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Pmobilee
2026-05-18 07:20:17 +00:00
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# ComfyUI-AIA-BatchVideoDegrade
# ComfyUI-vid2frames
Small AIA custom node pack for applying cheap-phone/video-upload degradation to a
batched ComfyUI `IMAGE` tensor.
A small ComfyUI custom node package for selecting useful still frames from a decoded video frame batch.
Repository: https://github.com/Pmobilee/ComfyUI-vid2frames
## Node
## Nodes
### `AIA_SelectVideoFrame`
- `AIA_BatchDequality`: applies per-frame JPEG recompression, sensor-like noise,
and small brightness/color/contrast jitter while preserving batch shape.
- `AIA_SelectVideoFrame`: scores a decoded video frame batch and returns one
selected frame. The selector string supports `no face`, `blurry`, `moving`,
`static`, `flicker`, and `lighting`; empty or unknown selectors use best-still
scoring. Add an explicit rank such as `moving rank 2` or `lighting #3` to get
the next high-scoring frame for that category, with temporal spacing applied
so ranked picks do not cluster around the same moment.
Inputs:
- `image`: ComfyUI `IMAGE` batch, usually decoded video frames.
- `selector`: text command describing the target frame type.
Output:
- A single-frame ComfyUI `IMAGE` batch.
Supported selector modes:
- Empty or unknown text: best still frame.
- `no face`: lowest face score while still preferring usable frames.
- `blurry`: softest reasonable frame.
- `moving`: strongest motion frame with blur and lighting penalties.
- `static`: low-motion sharp frame.
- `flicker` or `lighting`: strongest lighting fluctuation.
Ranked variants are supported. For example, `moving rank 2` or `lighting #3` returns another high-scoring frame in the same category. Ranked picks apply temporal spacing so nearby frames from the same moment do not crowd out more useful alternatives.
## How It Scores Frames
The node computes:
- Sharpness from Laplacian variance.
- Motion from neighbor-frame pixel deltas, smoothed over a short window.
- Lighting fluctuation from luminance deltas, smoothed over a short window.
- Face score from MediaPipe face detection, with OpenCV Haar cascades as a no-download fallback.
The first and last 8% of frames are lightly penalized for normal-length videos, because endpoints are often less representative.
## Install
Clone into `ComfyUI/custom_nodes` and restart ComfyUI:
```bash
git clone https://github.com/Pmobilee/ComfyUI-vid2frames.git ComfyUI-vid2frames
pip install -r ComfyUI-vid2frames/requirements.txt
```
## Tests
```bash
python -m pytest tests/test_frame_selector.py -q
```
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from .frame_selector import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
try:
from .frame_selector import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
except ImportError:
import importlib.util
from pathlib import Path
path = Path(__file__).resolve().parent / "frame_selector.py"
spec = importlib.util.spec_from_file_location("aia_frame_selector", path)
frame_selector = importlib.util.module_from_spec(spec)
spec.loader.exec_module(frame_selector)
NODE_CLASS_MAPPINGS = frame_selector.NODE_CLASS_MAPPINGS
NODE_DISPLAY_NAME_MAPPINGS = frame_selector.NODE_DISPLAY_NAME_MAPPINGS
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]