845a85d618
Phase 1 (Foundation): project skeleton, TOML config + Pydantic validation, MQTT bus wrapper, SQLite schema (9 tables), Click CLI, process supervisor. Phase 2 (Camera): RTSP capture via OpenCV, MOG2 motion detection with configurable sensitivity/zones, adaptive FPS recording (2fps idle/30fps motion) via FFmpeg subprocess, HLS live streaming, pre-motion ring buffer. Phase 3 (Web UI): Flask + Bootstrap 5 dark theme, 6 blueprints, Jinja2 templates (dashboard, kiosk 2x2 grid, events, sensors, recordings, settings), PWA with service worker + Web Push, full admin settings UI with config persistence. Remote Access: WireGuard tunnel configs, nginx reverse proxy with HLS caching + rate limiting, bandwidth-optimized remote HLS stream (426x240 @ 500kbps), DO droplet setup script, certbot TLS. 29 tests passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
"""Tests for motion detection."""
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import numpy as np
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from vigilar.camera.motion import MotionDetector
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def test_no_motion_on_static_scene():
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detector = MotionDetector(sensitivity=0.7, min_area_px=100, resolution=(160, 90))
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# Feed identical frames to build background model
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static_frame = np.full((360, 640, 3), 128, dtype=np.uint8)
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for _ in range(80): # exceed warmup
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detected, rects, conf = detector.detect(static_frame)
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# After warmup, static scene should have no motion
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detected, rects, conf = detector.detect(static_frame)
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assert not detected
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assert len(rects) == 0
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def test_motion_detected_on_scene_change():
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detector = MotionDetector(sensitivity=0.9, min_area_px=50, resolution=(160, 90))
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# Build background with static scene
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static = np.full((360, 640, 3), 128, dtype=np.uint8)
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for _ in range(80):
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detector.detect(static)
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# Introduce a large change
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changed = static.copy()
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changed[50:200, 100:300] = 255 # large white rectangle
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detected, rects, conf = detector.detect(changed)
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assert detected
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assert len(rects) > 0
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assert conf > 0
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def test_sensitivity_update():
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detector = MotionDetector(sensitivity=0.5)
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assert detector._sensitivity == 0.5
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detector.update_sensitivity(0.9)
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assert detector._sensitivity == 0.9
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# Clamps to valid range
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detector.update_sensitivity(1.5)
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assert detector._sensitivity == 1.0
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detector.update_sensitivity(-0.1)
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assert detector._sensitivity == 0.0
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def test_reset_clears_background():
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detector = MotionDetector(resolution=(80, 45))
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frame = np.zeros((360, 640, 3), dtype=np.uint8)
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for _ in range(80):
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detector.detect(frame)
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assert detector._frame_count >= 80
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detector.reset()
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assert detector._frame_count == 0
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