727642d38b
- Replace fixed 5-8 keyframe limit with duration-based adaptive sizing - Candidate frames: clamp(duration_min × 2, 30, 120) - Keyframe cap: clamp(duration / 150s, 8, 30) - 30min video → 12 keyframes (was 8), 60min → 24, 120min → 30 - Short videos (<12min) still get floor of 8 keyframes - Add Ollama keep-alive config doc to PROGRESS.md (OLLAMA_KEEP_ALIVE=-1) - Update config.yaml and config.yaml.example with new video params
59 lines
1.6 KiB
YAML
59 lines
1.6 KiB
YAML
# FAM-Edge 配置文件 (Oracle 端) - 实际部署配置
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# Tailscale: Oracle=100.74.137.126, NAS=100.70.234.39
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# NAS 端回调地址
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nas:
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webhook_url: "http://100.70.234.39:8000/api/core/callback/event"
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media_base_url: "http://100.70.234.39:8000/media"
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media_token: "sentinel-media-2026"
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# Oracle 端服务
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server:
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host: "0.0.0.0"
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port: 5000
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max_concurrent_tasks: 1
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# 关键帧筛选参数（自适应：帧数随视频时长动态计算）
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video:
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candidate_per_minute: 2 # 每分钟粗抽候选帧数
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candidate_min: 30 # 候选帧下限（短视频保底）
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candidate_max: 120 # 候选帧上限（超长视频截断）
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key_frame_interval_sec: 150 # 关键帧间隔（秒），每2.5分钟1张
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min_key_frames: 5 # 关键帧下限（帧差不足时补足到此数）
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max_key_frames_floor: 8 # 关键帧上限的下限（短视频保底）
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max_key_frames_cap: 30 # 关键帧上限（超长视频截断）
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mse_threshold: 500
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jpeg_quality: 80
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max_long_edge: 1024
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# 超时（秒）
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timeout:
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download: 60
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vlm_visual: 240
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vlm_fusion: 120
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callback: 30
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overall: 600
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# 模型清单
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models:
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- provider: "ollama"
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enabled: true
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model_name: "llava-phi3"
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base_url: "http://localhost:11434"
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timeout: 240
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num_predict: 500
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circuit_breaker:
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enabled: false
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threshold: 5
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cooldown: 900
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- provider: "gemini"
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enabled: false
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model_name: "gemini-1.5-flash"
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api_key: ""
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timeout: 8
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circuit_breaker:
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enabled: true
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threshold: 5
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cooldown: 900
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