Agent/examples/find knowledge/overview_mapping.json

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  "feature_dimension_details": {
    "openpose_skeleton": {
      "名称": "OpenPose 人体骨架图",
      "描述": "使用 lllyasviel/ControlNet OpenposeDetector 提取的人体关键点骨架图，包含身体18个关键点（头部、肩膀、肘部、手腕、髋部、膝盖、脚踝等）",
      "工具": "controlnet_aux.OpenposeDetector (lllyasviel/ControlNet)",
      "格式": "PNG RGB图像，黑色背景+彩色骨架线",
      "生成模型用途": "ControlNet OpenPose条件控制 - 精确控制人物姿态、站立/跪坐/侧身/背影等",
      "对应亮点": [
        "cluster_1",
        "cluster_6"
      ]
    },
    "depth_map": {
      "名称": "MiDaS 深度图",
      "描述": "使用 lllyasviel/Annotators MidasDetector 提取的单目深度估计图，灰度值表示相对深度（亮=近，暗=远）",
      "工具": "controlnet_aux.MidasDetector (lllyasviel/Annotators)",
      "格式": "PNG 灰度图像",
      "生成模型用途": "ControlNet Depth条件控制 - 控制场景空间层次、前景/背景分离、景深效果",
      "对应亮点": [
        "cluster_4",
        "cluster_5"
      ]
    },
    "lineart_edge": {
      "名称": "Lineart 线稿图",
      "描述": "使用 lllyasviel/Annotators LineartDetector 提取的精细线稿，保留服装褶皱、画架结构、人物轮廓等细节",
      "工具": "controlnet_aux.LineartDetector (lllyasviel/Annotators)",
      "格式": "PNG 灰度图像（白线黑底）",
      "生成模型用途": "ControlNet Lineart条件控制 - 控制服装褶皱、画架结构、整体构图轮廓",
      "对应亮点": [
        "cluster_1",
        "cluster_2"
      ]
    },
    "color_palette": {
      "名称": "ColorThief 色彩调色板",
      "描述": "使用 ColorThief 从图片提取的主色调和8色调色板，以RGB色块图和JSON格式存储",
      "工具": "colorthief.ColorThief",
      "格式": "PNG 色块图 (640×80) + JSON {dominant_color, palette, palette_hex}",
      "生成模型用途": "Stable Diffusion color palette条件 / IP-Adapter颜色参考 - 精确控制整体色调",
      "对应亮点": [
        "cluster_3",
        "cluster_2"
      ]
    },
    "bokeh_mask": {
      "名称": "Bokeh 虚化遮罩",
      "描述": "基于MiDaS深度图生成的虚化区域遮罩，亮区=清晰（主体），暗区=虚化（背景），量化大光圈散景效果",
      "工具": "自定义算法 (MiDaS深度图归一化)",
      "格式": "PNG 灰度图像 (0=完全虚化, 255=完全清晰)",
      "生成模型用途": "ControlNet Blur/Depth条件 / 后处理散景合成 - 控制虚化程度和区域",
      "对应亮点": [
        "cluster_4"
      ]
    },
    "semantic_segmentation": {
      "名称": "KMeans 语义分割图",
      "描述": "在LAB色彩空间使用KMeans(k=6)聚类的语义分割图，区分白裙/草地/画架/天空/皮肤/其他区域",
      "工具": "sklearn.cluster.KMeans (LAB色彩空间, k=6)",
      "格式": "PNG RGB彩色分割图，固定颜色编码: 白=白裙, 绿=草地, 棕=画架, 蓝=天空, 肤=皮肤, 灰=其他",
      "生成模型用途": "ControlNet Segmentation条件 - 控制各区域的空间布局和比例",
      "对应亮点": [
        "cluster_1",
        "cluster_3",
        "cluster_5"
      ]
    },
    "color_distribution": {
      "名称": "HSV 色彩分布直方图",
      "描述": "在HSV色彩空间计算的色相/饱和度/明度分布直方图，量化白色比例、绿色比例、平均亮度等关键指标",
      "工具": "OpenCV cv2.calcHist (HSV空间, H:18bins, S:8bins, V:8bins)",
      "格式": "PNG 直方图可视化 + JSON {hist_h, hist_s, hist_v, white_ratio, green_ratio, mean_brightness, mean_saturation}",
      "生成模型用途": "色彩条件控制向量 / 后处理色调调整参考 - 量化白绿配色比例",
      "对应亮点": [
        "cluster_3",
        "cluster_4"
      ]
    }
  }
}