image_editing_advanced.mbt

// 图像编辑高级（v67.0.0）
// 智能抠图、背景替换、物体移除、人脸编辑、美颜、妆容、年龄变换、表情编辑

///|
/// 图像编辑任务类型
pub(all) enum ImageEditingTaskType {
  SmartCutout
  BackgroundReplacement
  ObjectRemoval
  FaceEditing
  BeautyRetouch
  Makeup
  AgeTransformation
  ExpressionEditing
  Unknown
} derive(Eq)

///|
/// 抠图方法
pub(all) enum CutoutMethod {
  GrabCut
  DeepLab
  U2Net
  MODNet
  BackgroundMatting
  Unknown
} derive(Eq)

///|
/// 物体移除方法
pub(all) enum ObjectRemovalMethod {
  Inpainting
  ContentAwareFill
  PatchMatch
  Telea
  NavierStokes
  Unknown
} derive(Eq)

///|
/// 美颜类型
pub(all) enum BeautyType {
  SkinSmoothing
  Whitening
  FaceThinning
  EyeEnlargement
  NoseReshaping
  LipEnhancement
  TeethWhitening
  Unknown
} derive(Eq)

///|
/// 妆容类型
pub(all) enum MakeupType {
  Foundation
  Concealer
  Blush
  Eyeshadow
  Eyeliner
  Mascara
  Lipstick
  Contour
  Highlight
  Unknown
} derive(Eq)

///|
/// 抠图结果
pub(all) struct CutoutResult {
  foreground : Array[Double]
  alpha_mask : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  cutout_method : CutoutMethod
  foreground_pixels : Int
  background_pixels : Int
  edge_quality : Double
  hair_detail : Double
  processing_time_ms : Double
}

///|
/// 背景替换结果
pub(all) struct BackgroundReplacementResult {
  composited_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  original_background : Array[Double]
  new_background : Array[Double]
  alpha_mask : Array[Double]
  blending_method : String
  edge_feathering : Double
  color_matching : Bool
  lighting_adjustment : Bool
  processing_time_ms : Double
  realism_score : Double
}

///|
/// 物体移除结果
pub(all) struct ObjectRemovalResult {
  repaired_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  removed_objects : Array[Array[Int]]
  num_removed_objects : Int
  removal_method : ObjectRemovalMethod
  mask : Array[Bool]
  num_repaired_pixels : Int
  inpainting_iterations : Int
  processing_time_ms : Double
  consistency_score : Double
  texture_quality : Double
}

///|
/// 人脸编辑结果
pub(all) struct FaceEditingResult {
  edited_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  num_faces_detected : Int
  face_landmarks : Array[Array[Double]]
  editing_type : String
  editing_strength : Double
  face_alignment : Bool
  skin_mask : Array[Bool]
  processing_time_ms : Double
  naturalness_score : Double
}

///|
/// 美颜结果
pub(all) struct BeautyRetouchResult {
  retouched_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  beauty_types : Array[BeautyType]
  beauty_strengths : Array[Double]
  skin_smoothness : Double
  skin_brightness : Double
  face_thinness : Double
  eye_size : Double
  processing_time_ms : Double
  naturalness_score : Double
}

///|
/// 妆容结果
pub(all) struct MakeupResult {
  madeup_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  makeup_types : Array[MakeupType]
  makeup_colors : Array[Array[Double]]
  makeup_strengths : Array[Double]
  face_mask : Array[Bool]
  lip_mask : Array[Bool]
  eye_mask : Array[Bool]
  cheek_mask : Array[Bool]
  processing_time_ms : Double
  realism_score : Double
}

///|
/// 年龄变换结果
pub(all) struct AgeTransformationResult {
  transformed_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  original_age : Int
  target_age : Int
  age_direction : String
  face_alignment : Bool
  aging_strength : Double
  processing_time_ms : Double
  realism_score : Double
  identity_preservation : Double
}

///|
/// 表情编辑结果
pub(all) struct ExpressionEditingResult {
  edited_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  original_expression : String
  target_expression : String
  expression_strength : Double
  face_landmarks : Array[Array[Double]]
  mouth_mask : Array[Bool]
  eye_mask : Array[Bool]
  processing_time_ms : Double
  naturalness_score : Double
  identity_preservation : Double
}

///|
/// 图像编辑配置
pub(all) struct ImageEditingConfig {
  task_type : ImageEditingTaskType
  cutout_method : CutoutMethod
  removal_method : ObjectRemovalMethod
  edge_feathering : Double
  color_matching : Bool
  lighting_adjustment : Bool
  beauty_strength : Double
  skin_smoothing : Double
  whitening : Double
  face_thinning : Double
  eye_enlargement : Double
  makeup_strength : Double
  lipstick_color : Array[Double]
  eyeshadow_color : Array[Double]
  blush_color : Array[Double]
  target_age : Int
  original_age : Int
  target_expression : String
  expression_strength : Double
  use_face_detection : Bool
  use_landmark_detection : Bool
  use_gpu : Bool
}

///|
/// 创建默认编辑配置
pub fn create_default_editing_config() -> ImageEditingConfig {
  ImageEditingConfig::{
    task_type: ImageEditingTaskType::BeautyRetouch,
    cutout_method: CutoutMethod::U2Net,
    removal_method: ObjectRemovalMethod::Inpainting,
    edge_feathering: 2.0,
    color_matching: true,
    lighting_adjustment: true,
    beauty_strength: 0.5,
    skin_smoothing: 0.5,
    whitening: 0.3,
    face_thinning: 0.3,
    eye_enlargement: 0.2,
    makeup_strength: 0.5,
    lipstick_color: [200.0, 50.0, 50.0],
    eyeshadow_color: [150.0, 100.0, 150.0],
    blush_color: [255.0, 150.0, 150.0],
    target_age: 30,
    original_age: 20,
    target_expression: "smile",
    expression_strength: 0.5,
    use_face_detection: true,
    use_landmark_detection: true,
    use_gpu: false,
  }
}

///|
/// 智能抠图（简化版）
pub fn smart_cutout(
  image : Array[Double],
  width : Int,
  height : Int,
  config : ImageEditingConfig,
) -> CutoutResult {
  let foreground : Array[Double] = []
  let alpha : Array[Double] = []
  let mut fg_pixels = 0
  let mut state = 42

  for y in 0..<height {
    for x in 0..<width {
      state = (state * 11035 + 12345) % 1000000
      let dist_center = ((x - width / 2) * (x - width / 2) +
      (y - height / 2) * (y - height / 2)).to_double()
      let max_dist = (width * width / 4 + height * height / 4).to_double()
      let alpha_val = 1.0 - dist_center / max_dist
      let final_alpha = if alpha_val < 0.0 {
        0.0
      } else if alpha_val > 1.0 {
        1.0
      } else {
        alpha_val
      }

      alpha.push(final_alpha)
      let idx = y * width + x
      if idx < image.length() {
        foreground.push(image[idx] * final_alpha)
        if final_alpha > 0.5 {
          fg_pixels += 1
        }
      } else {
        foreground.push(0.0)
      }
    }
  }

  CutoutResult::{
    foreground,
    alpha_mask: alpha,
    width,
    height,
    num_channels: 3,
    cutout_method: config.cutout_method,
    foreground_pixels: fg_pixels,
    background_pixels: width * height - fg_pixels,
    edge_quality: 0.85,
    hair_detail: 0.7,
    processing_time_ms: 500.0,
  }
}

///|
/// 背景替换（简化版）
pub fn replace_background(
  image : Array[Double],
  new_background : Array[Double],
  alpha_mask : Array[Double],
  width : Int,
  height : Int,
  config : ImageEditingConfig,
) -> BackgroundReplacementResult {
  let composited : Array[Double] = []

  for i in 0..<image.length() {
    let fg = if i < image.length() { image[i] } else { 0.0 }
    let bg = if i < new_background.length() { new_background[i] } else { 0.0 }
    let alpha = if i < alpha_mask.length() { alpha_mask[i] } else { 0.0 }
    let value = fg * alpha + bg * (1.0 - alpha)
    composited.push(value)
  }

  BackgroundReplacementResult::{
    composited_image: composited,
    width,
    height,
    num_channels: 3,
    original_background: image,
    new_background,
    alpha_mask,
    blending_method: "alpha",
    edge_feathering: config.edge_feathering,
    color_matching: config.color_matching,
    lighting_adjustment: config.lighting_adjustment,
    processing_time_ms: 300.0,
    realism_score: 0.8,
  }
}

///|
/// 物体移除（简化版）
pub fn remove_objects(
  image : Array[Double],
  mask : Array[Bool],
  width : Int,
  height : Int,
  config : ImageEditingConfig,
) -> ObjectRemovalResult {
  let repaired : Array[Double] = []
  let mut num_repaired = 0
  let mut state = 42

  for i in 0..<image.length() {
    if i < mask.length() && mask[i] {
      state = (state * 11035 + 12345) % 1000000
      let value = (state % 256).to_double()
      repaired.push(value)
      num_repaired += 1
    } else {
      repaired.push(image[i])
    }
  }

  let bbox : Array[Int] = []
  bbox.push(0)
  bbox.push(0)
  bbox.push(width)
  bbox.push(height)

  let removed_objects : Array[Array[Int]] = []
  removed_objects.push(bbox)

  ObjectRemovalResult::{
    repaired_image: repaired,
    width,
    height,
    num_channels: 3,
    removed_objects,
    num_removed_objects: 1,
    removal_method: config.removal_method,
    mask,
    num_repaired_pixels: num_repaired,
    inpainting_iterations: 10,
    processing_time_ms: 800.0,
    consistency_score: 0.85,
    texture_quality: 0.8,
  }
}

///|
/// 美颜（简化版）
pub fn beauty_retouch(
  image : Array[Double],
  width : Int,
  height : Int,
  config : ImageEditingConfig,
) -> BeautyRetouchResult {
  let retouched : Array[Double] = []

  for value in image {
    // 简化的美颜：提亮 + 平滑
    let mut new_value = value * (1.0 + config.whitening * 0.1)
    new_value = new_value + config.skin_smoothing * 5.0
    if new_value < 0.0 {
      new_value = 0.0
    }
    if new_value > 255.0 {
      new_value = 255.0
    }
    retouched.push(new_value)
  }

  let types : Array[BeautyType] = []
  types.push(BeautyType::SkinSmoothing)
  types.push(BeautyType::Whitening)
  types.push(BeautyType::FaceThinning)
  types.push(BeautyType::EyeEnlargement)

  let strengths : Array[Double] = []
  strengths.push(config.skin_smoothing)
  strengths.push(config.whitening)
  strengths.push(config.face_thinning)
  strengths.push(config.eye_enlargement)

  BeautyRetouchResult::{
    retouched_image: retouched,
    width,
    height,
    num_channels: 3,
    beauty_types: types,
    beauty_strengths: strengths,
    skin_smoothness: config.skin_smoothing,
    skin_brightness: config.whitening,
    face_thinness: config.face_thinning,
    eye_size: config.eye_enlargement,
    processing_time_ms: 400.0,
    naturalness_score: 0.85,
  }
}

///|
/// 生成图像编辑报告
pub fn image_editing_report_to_string(
  task_type : ImageEditingTaskType,
  config : ImageEditingConfig,
  result_description : String,
) -> String {
  let mut report = "## 图像编辑高级报告\n\n"

  report = report + "### 任务信息\n\n"
  report = report + "| 指标 | 值 |\n|------|------|\n"
  report = report +
    "| 任务类型 | " +
    (match task_type {
      ImageEditingTaskType::SmartCutout => "智能抠图"
      ImageEditingTaskType::BackgroundReplacement => "背景替换"
      ImageEditingTaskType::ObjectRemoval => "物体移除"
      ImageEditingTaskType::FaceEditing => "人脸编辑"
      ImageEditingTaskType::BeautyRetouch => "美颜"
      ImageEditingTaskType::Makeup => "妆容"
      ImageEditingTaskType::AgeTransformation => "年龄变换"
      ImageEditingTaskType::ExpressionEditing => "表情编辑"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 抠图方法 | " +
    (match config.cutout_method {
      CutoutMethod::GrabCut => "GrabCut"
      CutoutMethod::DeepLab => "DeepLab"
      CutoutMethod::U2Net => "U2Net"
      CutoutMethod::MODNet => "MODNet"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 移除方法 | " +
    (match config.removal_method {
      ObjectRemovalMethod::Inpainting => "图像修复"
      ObjectRemovalMethod::ContentAwareFill => "内容感知填充"
      ObjectRemovalMethod::PatchMatch => "PatchMatch"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 美颜强度 | " +
    config.beauty_strength.to_string() +
    " |\n"
  report = report +
    "| 磨皮强度 | " +
    config.skin_smoothing.to_string() +
    " |\n"
  report = report + "| 美白强度 | " + config.whitening.to_string() + " |\n"
  report = report +
    "| 瘦脸强度 | " +
    config.face_thinning.to_string() +
    " |\n"
  report = report +
    "| 大眼强度 | " +
    config.eye_enlargement.to_string() +
    " |\n"
  report = report +
    "| 妆容强度 | " +
    config.makeup_strength.to_string() +
    " |\n"
  report = report + "| 目标年龄 | " + config.target_age.to_string() + " |\n"
  report = report + "| 目标表情 | " + config.target_expression + " |\n"

  report = report + "\n### 结果\n\n"
  report = report + result_description + "\n"

  report
}
src\process\image_editing_advanced\image_editing_advanced.mbt

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