50d83539f6
- Oracle 依赖安装: flask/gunicorn/requests/PyYAML/opencv/numpy 全部成功 - FAM-Edge 全部 8 个模块导入验证 PASS - llava-phi3 基准测试: 冷启动 109s, 预热无限制 13.35s, 预热+num_predict=30 仅 4.34s PASS - OllamaAdapter 新增 num_predict 可配置参数 (默认 500) - config.yaml.example 新增 num_predict 配置项 - 创建 PROGRESS.md 进度追踪文档
77 lines
2.0 KiB
Plaintext
77 lines
2.0 KiB
Plaintext
# FAM-Edge 配置文件 (Oracle 端)
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# 复制此文件为 config.yaml 并修改实际值
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# NAS 端回调地址
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nas:
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webhook_url: "http://100.x.x.10:8000/api/core/callback/event"
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media_base_url: "http://100.x.x.10:8000/media"
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media_token: "xxx"
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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
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video:
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candidate_frames: 30 # 粗抽候选帧数
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min_key_frames: 5 # 最少关键帧
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max_key_frames: 8 # 最多关键帧
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mse_threshold: 500 # 帧差阈值
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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 # 单模型视觉分析超时
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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（可扩展，新增模型只需在此数组加一项 + 实现适配器）
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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 # 最大生成 token 数（ARM 上建议限制以控制延迟）
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circuit_breaker:
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enabled: false # 本地模型不启用熔断
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threshold: 5
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cooldown: 900
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- provider: "gemini"
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enabled: true
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model_name: "gemini-1.5-flash"
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api_key: "${GEMINI_API_KEY}" # 从环境变量读取
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timeout: 8
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circuit_breaker:
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enabled: true
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threshold: 5
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cooldown: 900
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# v1.1 扩展示例（取消注释并填入 API Key 即启用）
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# - provider: "openai"
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# enabled: false
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# model_name: "gpt-4o"
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# api_key: "${OPENAI_API_KEY}"
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# timeout: 30
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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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# - provider: "nvidia"
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# enabled: false
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# model_name: "nvidia/llama-3.1-nemotron-70b-instruct"
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# api_key: "${NVIDIA_API_KEY}"
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# base_url: "https://integrate.api.nvidia.com/v1"
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# timeout: 30
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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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