CMVR-AI-ANALYSIS/data/profiles/aima/power-video/v1/profile.json
lixiaolong b386f003a0 feat(vision): 集成Qwen3.8视觉模型并优化音视频分析功能
- 集成Qwen3.8-27B-FP8快速模型和Qwen3.8-27B精确模型作为SGLang服务
- 添加SGLang API配置选项(SGLANG_FAST_BASE_URL、SGLANG_ACCURATE_BASE_URL等)
- 实现音频分类中的决策聚合算法(topK、nearestWeight、labelMaxDistance)
- 添加视频采样帧限制(VIDEO_SAMPLING_FRAME_LIMIT)和上下文token限制
- 更新健康检查以监控SGLang服务状态
- 实现视频分析的双模式决策策略(快速+精确)
- 添加音频参考文件导入工具(import_audio_references.py)
- 扩展音频分类标签支持FIND_VEHICLE_HORN类别
- 优化视频分析的帧采样策略,始终包含视频尾部帧
- 添加决策策略参数(tuning、decisionPolicy)支持
- 更新配置类以支持新的SGLang和视频参数
- 修改compose配置以支持Qwen3.8模型部署
- 更新音频分类测试用例验证聚合逻辑
- 重构视频测试以支持SGLang API格式和决策策略
2026-08-19 09:28:53 +08:00

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{
"code": "aima.power_video.v1",
"name": "爱玛测试视频分析",
"analysisType": "VIDEO_ANALYSIS",
"model": "qwen3-vl:32b",
"promptFile": "prompt.txt",
"think": false,
"temperature": 0.1,
"strategies": {
"fast": {
"provider": "sglang",
"model": "Qwen/Qwen3.8-27B-FP8",
"fallbackModel": "qwen3-vl:8b-instruct",
"sampleFps": 1.0,
"maxWidth": 896,
"maxOutputTokens": 512,
"numCtx": 16384,
"emptyResponseRetries": 0,
"maxRetryOutputTokens": 4096,
"keepAlive": "30m"
},
"accurate": {
"provider": "sglang",
"model": "Qwen/Qwen3.8-27B",
"fallbackModel": "qwen3-vl:32b",
"sampleFps": 3.0,
"maxWidth": 1120,
"maxOutputTokens": 768,
"numCtx": 32768,
"emptyResponseRetries": 2,
"maxRetryOutputTokens": 8192,
"keepAlive": "30m"
}
}
}