- capture/: frame sampling at configurable fps, ffmpeg audio extraction (WAV, whisper-ready) - vision/: changed-pixel motion scoring, stable/moving segmentation, contour + perspective document detection, Laplacian sharpness scoring, optional CLAHE enhancement - pipeline: two-pass detect (motion timeline, then best-frame crop per stable window) writing crops, debug frames, report.json, and motion_scores.csv - CLI: probe / detect / extract-audio subcommands - config.yaml with tunable thresholds; placeholder packages for events, transcribe, ocr, naming, pdf, review_cli - synthetic sample video generator + 16 unit tests
14 lines
365 B
Python
14 lines
365 B
Python
"""Blur/sharpness scoring for best-frame selection."""
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from __future__ import annotations
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import cv2
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import numpy as np
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def sharpness_score(image: np.ndarray) -> float:
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"""Variance of the Laplacian; higher = sharper."""
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if image.ndim == 3:
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image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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return float(cv2.Laplacian(image, cv2.CV_64F).var())
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