doc:refine Artimuse overview wording and sample reference - #162
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shijinpjlab
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Sep 4, 2025
| `RuleImageArtimuse` 是一个基于 Artimuse API 的图像质量评估规则类，用于判断输入图像的质量是否达到合格标准。该规则通过调用 Artimuse 服务的图像评估接口，获取图像的总体评分和各个方面的详细评估结果。 | ||
| RuleImageArtimuse 基于 ArtiMuse 服务，面向 AIGC 与创意生产的质量把关与可解释诊断。不同于只给分数或只给文本的方案，ArtiMuse 同时给出整体分与专家级细粒度理解。细粒度理解涵盖八个维度：构图设计、视觉元素、技术执行、想象创意、主题传达、情感反应、整体完形、综合评价。这样既能完成量化筛选，也能给出可直接落地的改进依据。 | ||
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| 在我们的本地评估样例20250903_203109_deb630bc 中，整体得分为 75 分，Good 与 Bad 的比例约为七比三。维度解释显示技术执行、构图与视觉元素较为稳健，而想象创意往往是主要扣分来源。这与论文提出的联合评分和专家级理解目标一致：不仅判断好坏，更揭示原因，使结果可以反哺提示词、光线与叙事设置，形成生成、评估与再生成的闭环。 |
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“本地评估样例20250903_203109_deb630bc 中”
介绍这个样例是怎么获取的
| 3. **返回评估结果** | ||
| - 根据总体评分判断图像质量是否合格 | ||
| - 返回包含详细评估信息的 `ModelRes` 对象 | ||
| 1. 创建评估任务：向 ArtiMuse 发送包含 URL 与 style 的请求，创建阶段超时 30 秒 |
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看最新代码RuleImageArtimuse
| # "threshold": 6.0, | ||
| # "style": 1, # 1 表示专业风格，2 表示批评性风格 | ||
| # "create_timeout_sec": 30, | ||
| # "poll_max_tries": 5, |
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