Rework eye alignment, use previous approach
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465b0cbbae
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3 changed files with 273 additions and 130 deletions
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@ -38,8 +38,8 @@
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keep_intermediates: false,
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},
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alignment: {
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eye_y_position: 0.35,
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inter_eye_distance: 0.30,
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left_eye_y_position: 0.4,
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left_eye_x_position: 0.35,
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},
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},
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video: {
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@ -116,8 +116,8 @@
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keep_intermediates: false,
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},
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alignment: {
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eye_y_position: 0.35,
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inter_eye_distance: 0.30,
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left_eye_y_position: 0.4,
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left_eye_x_position: 0.35,
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},
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},
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video: {
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@ -311,8 +311,6 @@
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<span class="value">{config.processing.head_pose.max_pitch.toFixed(0)}°</span>
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</div>
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</div>
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</div>
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{/if}
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</div>
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@ -355,35 +353,35 @@
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<div class="setting-row sub-setting">
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<label>
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<span class="setting-label">Eye Y Position</span>
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<span class="setting-hint">Vertical position of eyes (% from top)</span>
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<span class="setting-label">Left Eye Y Position</span>
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<span class="setting-hint">Vertical position of left eye (% from top)</span>
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</label>
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<div class="setting-control">
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<input
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type="range"
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bind:value={config.processing.alignment.eye_y_position}
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bind:value={config.processing.alignment.left_eye_y_position}
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min="0.2"
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max="0.5"
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max="0.6"
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step="0.01"
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/>
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<span class="value">{(config.processing.alignment.eye_y_position * 100).toFixed(0)}%</span>
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<span class="value">{(config.processing.alignment.left_eye_y_position * 100).toFixed(0)}%</span>
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</div>
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</div>
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<div class="setting-row sub-setting">
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<label>
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<span class="setting-label">Inter-eye Distance</span>
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<span class="setting-hint">Distance between eyes (% of width)</span>
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<span class="setting-label">Left Eye X Position</span>
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<span class="setting-hint">Horizontal position of left eye (% from left)</span>
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</label>
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<div class="setting-control">
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<input
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type="range"
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bind:value={config.processing.alignment.inter_eye_distance}
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min="0.2"
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max="0.5"
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bind:value={config.processing.alignment.left_eye_x_position}
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min="0.25"
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max="0.45"
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step="0.01"
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/>
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<span class="value">{(config.processing.alignment.inter_eye_distance * 100).toFixed(0)}%</span>
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<span class="value">{(config.processing.alignment.left_eye_x_position * 100).toFixed(0)}%</span>
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</div>
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</div>
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</div>
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@ -302,20 +302,22 @@ impl EyeFilterConfig {
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/// Note: Face alignment is always enabled and is a core part of the pipeline.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct AlignmentConfig {
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/// Target Y position for eyes as percentage from top (0.0-1.0).
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/// Default 0.35 places eyes at 35% from the top.
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pub eye_y_position: f32,
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/// Target Y position for left eye as percentage from top (0.0-1.0).
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/// Default 0.4 places left eye at 40% from the top.
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/// Both eyes are positioned at the same vertical level.
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pub left_eye_y_position: f32,
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/// Target inter-eye distance as percentage of output width (0.0-1.0).
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/// Default 0.3 makes the distance between eye centers 30% of image width.
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pub inter_eye_distance: f32,
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/// Target X position for left eye as percentage from left (0.0-1.0).
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/// Default 0.35 places left eye at 35% from the left edge.
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/// Right eye will be placed at (1.0 - left_eye_x_position).
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pub left_eye_x_position: f32,
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}
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impl Default for AlignmentConfig {
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fn default() -> Self {
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Self {
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eye_y_position: 0.35,
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inter_eye_distance: 0.30,
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left_eye_y_position: 0.4,
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left_eye_x_position: 0.35,
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}
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}
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}
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@ -323,36 +325,38 @@ impl Default for AlignmentConfig {
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impl AlignmentConfig {
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/// Validate the configuration values.
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pub fn validate(&self) -> Result<()> {
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if self.eye_y_position <= 0.0 || self.eye_y_position >= 1.0 {
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if self.left_eye_y_position <= 0.0 || self.left_eye_y_position >= 1.0 {
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return Err(Error::Config(
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"Alignment eye_y_position must be between 0.0 and 1.0 (exclusive)".to_string(),
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"Alignment left_eye_y_position must be between 0.0 and 1.0 (exclusive)".to_string(),
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));
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}
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if self.eye_y_position < 0.2 || self.eye_y_position > 0.5 {
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if self.left_eye_y_position < 0.2 || self.left_eye_y_position > 0.6 {
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return Err(Error::Config(
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"Alignment eye_y_position should be between 0.2 and 0.5 for best results"
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"Alignment left_eye_y_position should be between 0.2 and 0.6 for best results"
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.to_string(),
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));
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}
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if self.inter_eye_distance <= 0.0 {
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if self.left_eye_x_position <= 0.0 || self.left_eye_x_position >= 0.5 {
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return Err(Error::Config(
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"Alignment inter_eye_distance must be greater than 0 to prevent division by zero"
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"Alignment left_eye_x_position must be between 0.0 and 0.5 (left eye must be in left half)"
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.to_string(),
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));
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}
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if self.inter_eye_distance >= 1.0 {
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if self.left_eye_x_position < 0.25 || self.left_eye_x_position > 0.45 {
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return Err(Error::Config(
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"Alignment inter_eye_distance must be less than 1.0".to_string(),
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));
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}
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if self.inter_eye_distance < 0.2 || self.inter_eye_distance > 0.5 {
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return Err(Error::Config(
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"Alignment inter_eye_distance should be between 0.2 and 0.5 for best results"
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"Alignment left_eye_x_position should be between 0.25 and 0.45 for best results"
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.to_string(),
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));
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}
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Ok(())
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}
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/// Calculate the target inter-eye distance as a fraction of output width.
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/// Since left eye is at left_eye_x_position and right eye is at (1 - left_eye_x_position),
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/// the distance between them is: (1 - left_eye_x_position) - left_eye_x_position = 1 - 2*left_eye_x_position
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pub fn inter_eye_distance(&self) -> f32 {
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1.0 - 2.0 * self.left_eye_x_position
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}
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}
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// ============================================================================
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@ -2,20 +2,24 @@
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//!
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//! Aligns faces based on eye positions to ensure consistent eye placement
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//! across all images in the timelapse.
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//!
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//! Uses a single affine transformation matrix that combines rotation, scaling,
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//! and translation to align eyes at the desired positions in one operation.
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use crate::config::Config;
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use crate::pipeline::{computed_keys, PipelineContext, Point, ProcessingStep, StepOutcome};
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use async_trait::async_trait;
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use image::{DynamicImage, GenericImageView, Rgb};
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use imageproc::geometric_transformations::{rotate_about_center, Interpolation};
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use image::{DynamicImage, Rgb, RgbImage};
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/// Aligns faces based on eye positions.
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///
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/// This step:
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/// 1. Retrieves landmarks from ctx.computed["landmarks"]
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/// 2. Calculates rotation angle from eye positions
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/// 3. Applies affine transformation to align eyes horizontally
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/// 4. Scales and crops to position eyes at configured positions
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/// 2. Calculates a single affine transformation matrix that:
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/// - Rotates to make eyes horizontal
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/// - Scales to match desired inter-eye distance
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/// - Translates to position eyes at configured target positions
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/// 3. Applies the transformation using bilinear interpolation
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pub struct AlignmentStep;
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#[async_trait]
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@ -50,111 +54,248 @@ impl ProcessingStep for AlignmentStep {
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Err(e) => return StepOutcome::Error { ctx, error: e },
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};
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let (width, height) = image.dimensions();
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let output_size = config.processing.output.size;
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// Get eye centers
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let left_eye = landmarks.left_eye_center();
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let right_eye = landmarks.right_eye_center();
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// Calculate rotation angle to make eyes horizontal
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let angle = landmarks.eye_rotation_angle();
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// Calculate current inter-eye distance
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let current_eye_dist = landmarks.inter_eye_distance();
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// Target inter-eye distance based on config (as fraction of output width)
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let target_eye_dist = output_size as f32 * config.processing.alignment.inter_eye_distance;
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// Calculate scale factor
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let scale = target_eye_dist / current_eye_dist;
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// Target eye positions
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let target_eye_y = output_size as f32 * config.processing.alignment.eye_y_position;
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let target_left_eye_x = (output_size as f32 - target_eye_dist) / 2.0;
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let _target_right_eye_x = target_left_eye_x + target_eye_dist;
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// Eye center (midpoint between eyes)
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let eye_center = Point::new(
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(left_eye.x + right_eye.x) / 2.0,
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(left_eye.y + right_eye.y) / 2.0,
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);
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// First, rotate the image to make eyes horizontal
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let rgb = image.to_rgb8();
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let rotated = rotate_about_center(
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&rgb,
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-angle, // Negative because we want to counter-rotate
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Interpolation::Bilinear,
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Rgb([0, 0, 0]), // Black background for rotated areas
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);
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// After rotation, the eye center moves. Calculate new position.
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// For small angles, we can approximate that the center stays roughly the same
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// For more accuracy, we'd need to transform the point through the rotation
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// Calculate the new eye center after rotation
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let cos_a = angle.cos();
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let sin_a = angle.sin();
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let cx = width as f32 / 2.0;
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let cy = height as f32 / 2.0;
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// Rotate eye_center around image center
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let dx = eye_center.x - cx;
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let dy = eye_center.y - cy;
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let rotated_eye_center =
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Point::new(cx + dx * cos_a + dy * sin_a, cy - dx * sin_a + dy * cos_a);
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// Now calculate crop region to achieve the desired scale and positioning
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// We want the eye center at (output_size/2, target_eye_y)
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let target_center_x = output_size as f32 / 2.0;
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let _target_center_y = target_eye_y;
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// Calculate crop region in the rotated image
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// The crop should be (output_size / scale) pixels, centered appropriately
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let crop_size = (output_size as f32 / scale) as u32;
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// Crop center in source image (accounting for where we want eyes to end up)
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let crop_center_x =
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rotated_eye_center.x - (target_center_x - output_size as f32 / 2.0) / scale;
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let crop_center_y =
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rotated_eye_center.y + (target_eye_y - output_size as f32 / 2.0) / scale;
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// Calculate crop bounds
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let crop_x = (crop_center_x - crop_size as f32 / 2.0).max(0.0) as u32;
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let crop_y = (crop_center_y - crop_size as f32 / 2.0).max(0.0) as u32;
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// Clamp to image bounds
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let (rot_width, rot_height) = (rotated.width(), rotated.height());
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let crop_x = crop_x.min(rot_width.saturating_sub(crop_size));
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let crop_y = crop_y.min(rot_height.saturating_sub(crop_size));
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let actual_crop_size = crop_size.min(rot_width - crop_x).min(rot_height - crop_y);
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// Crop and resize
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let rotated_dyn = DynamicImage::ImageRgb8(rotated);
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let cropped = rotated_dyn.crop_imm(crop_x, crop_y, actual_crop_size, actual_crop_size);
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let aligned = cropped.resize_exact(
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// Calculate the transformation matrix
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let transform = calculate_eye_alignment_transform(
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left_eye,
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right_eye,
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output_size,
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output_size,
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image::imageops::FilterType::Lanczos3,
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&config.processing.alignment,
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);
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// Apply the transformation
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let aligned = apply_affine_transform(&image, &transform, output_size);
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ctx.image = Some(aligned);
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tracing::trace!(
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"Aligned: rotation={:.2}deg, scale={:.2}, crop={}x{} at ({},{})",
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angle.to_degrees(),
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scale,
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actual_crop_size,
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actual_crop_size,
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crop_x,
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crop_y
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"Aligned: left_eye=({:.1},{:.1}), right_eye=({:.1},{:.1}), target_size={}",
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left_eye.x,
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left_eye.y,
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right_eye.x,
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right_eye.y,
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output_size
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);
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StepOutcome::Continue(ctx)
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}
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}
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/// 2x3 affine transformation matrix.
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/// Represents the transformation: [x', y'] = [[a, b, c], [d, e, f]] * [x, y, 1]
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#[derive(Debug, Clone, Copy)]
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struct AffineMatrix {
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a: f32,
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b: f32,
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c: f32,
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d: f32,
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e: f32,
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f: f32,
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}
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impl AffineMatrix {
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/// Create a translation matrix.
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fn translation(tx: f32, ty: f32) -> Self {
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Self {
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a: 1.0,
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b: 0.0,
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c: tx,
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d: 0.0,
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e: 1.0,
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f: ty,
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}
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}
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/// Create a rotation matrix (angle in radians).
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fn rotation(angle: f32) -> Self {
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let cos_a = angle.cos();
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let sin_a = angle.sin();
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Self {
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a: cos_a,
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b: -sin_a,
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c: 0.0,
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d: sin_a,
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e: cos_a,
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f: 0.0,
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}
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}
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/// Create a scale matrix.
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fn scale(s: f32) -> Self {
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Self {
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a: s,
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b: 0.0,
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c: 0.0,
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d: 0.0,
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e: s,
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f: 0.0,
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}
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}
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/// Compose this transformation with another (self * other).
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/// This applies 'other' first, then 'self'.
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fn compose(&self, other: &AffineMatrix) -> AffineMatrix {
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AffineMatrix {
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a: self.a * other.a + self.b * other.d,
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b: self.a * other.b + self.b * other.e,
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c: self.a * other.c + self.b * other.f + self.c,
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d: self.d * other.a + self.e * other.d,
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e: self.d * other.b + self.e * other.e,
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f: self.d * other.c + self.e * other.f + self.f,
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}
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}
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/// Transform a point using this matrix.
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fn transform_point(&self, x: f32, y: f32) -> (f32, f32) {
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(
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self.a * x + self.b * y + self.c,
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self.d * x + self.e * y + self.f,
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)
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}
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}
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/// Calculate the affine transformation matrix to align eyes at desired positions.
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///
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/// This implements the same algorithm as the Python example:
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/// 1. Calculate target eye positions based on config
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/// 2. Compute rotation angle to make eyes horizontal
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/// 3. Compute scale to match desired inter-eye distance
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/// 4. Combine translation, rotation, scale, and final translation into one matrix
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fn calculate_eye_alignment_transform(
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left_eye: Point,
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right_eye: Point,
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output_size: u32,
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alignment_config: &crate::config::AlignmentConfig,
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) -> AffineMatrix {
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let output_size_f = output_size as f32;
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// Calculate target eye positions
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let left_eye_target = Point::new(
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output_size_f * alignment_config.left_eye_x_position,
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output_size_f * alignment_config.left_eye_y_position,
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);
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let right_eye_target = Point::new(
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output_size_f * (1.0 - alignment_config.left_eye_x_position),
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output_size_f * alignment_config.left_eye_y_position,
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);
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// Calculate angles
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let current_angle = (right_eye.y - left_eye.y).atan2(right_eye.x - left_eye.x);
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let target_angle =
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(right_eye_target.y - left_eye_target.y).atan2(right_eye_target.x - left_eye_target.x);
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let rotation_angle = target_angle - current_angle;
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// Calculate scale
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let current_eye_distance =
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((right_eye.x - left_eye.x).powi(2) + (right_eye.y - left_eye.y).powi(2)).sqrt();
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let target_eye_distance = ((right_eye_target.x - left_eye_target.x).powi(2)
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+ (right_eye_target.y - left_eye_target.y).powi(2))
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.sqrt();
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let scale = target_eye_distance / current_eye_distance;
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// Eye centers
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let center = Point::new(
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(left_eye.x + right_eye.x) / 2.0,
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(left_eye.y + right_eye.y) / 2.0,
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);
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let target_center = Point::new(
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(left_eye_target.x + right_eye_target.x) / 2.0,
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(left_eye_target.y + right_eye_target.y) / 2.0,
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);
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// Build the transformation matrix by composing:
|
||||
// 1. Translate to origin (center of eyes)
|
||||
// 2. Rotate
|
||||
// 3. Scale
|
||||
// 4. Translate to target position
|
||||
let m1 = AffineMatrix::translation(-center.x, -center.y);
|
||||
let m2 = AffineMatrix::rotation(rotation_angle);
|
||||
let m3 = AffineMatrix::scale(scale);
|
||||
let m4 = AffineMatrix::translation(target_center.x, target_center.y);
|
||||
|
||||
// Compose: M = M4 * M3 * M2 * M1
|
||||
// This means we apply M1 first, then M2, then M3, then M4
|
||||
m4.compose(&m3.compose(&m2.compose(&m1)))
|
||||
}
|
||||
|
||||
/// Apply an affine transformation to an image.
|
||||
///
|
||||
/// Uses inverse mapping with bilinear interpolation to avoid holes in the output.
|
||||
fn apply_affine_transform(
|
||||
image: &DynamicImage,
|
||||
transform: &AffineMatrix,
|
||||
output_size: u32,
|
||||
) -> DynamicImage {
|
||||
let rgb = image.to_rgb8();
|
||||
let (width, height) = rgb.dimensions();
|
||||
|
||||
// We need the inverse transform to do inverse mapping
|
||||
// For an affine transform, the inverse can be computed analytically
|
||||
let det = transform.a * transform.e - transform.b * transform.d;
|
||||
if det.abs() < 1e-10 {
|
||||
// Degenerate transform, return black image
|
||||
return DynamicImage::ImageRgb8(RgbImage::new(output_size, output_size));
|
||||
}
|
||||
|
||||
let inv_det = 1.0 / det;
|
||||
let inv_transform = AffineMatrix {
|
||||
a: transform.e * inv_det,
|
||||
b: -transform.b * inv_det,
|
||||
c: (transform.b * transform.f - transform.e * transform.c) * inv_det,
|
||||
d: -transform.d * inv_det,
|
||||
e: transform.a * inv_det,
|
||||
f: (transform.d * transform.c - transform.a * transform.f) * inv_det,
|
||||
};
|
||||
|
||||
// Create output image using inverse mapping
|
||||
let output = RgbImage::from_fn(output_size, output_size, |x, y| {
|
||||
// Map output pixel to source pixel
|
||||
let (src_x, src_y) = inv_transform.transform_point(x as f32, y as f32);
|
||||
|
||||
// Bilinear interpolation
|
||||
if src_x >= 0.0 && src_x < (width - 1) as f32 && src_y >= 0.0 && src_y < (height - 1) as f32
|
||||
{
|
||||
let x0 = src_x.floor() as u32;
|
||||
let y0 = src_y.floor() as u32;
|
||||
let x1 = x0 + 1;
|
||||
let y1 = y0 + 1;
|
||||
|
||||
let dx = src_x - x0 as f32;
|
||||
let dy = src_y - y0 as f32;
|
||||
|
||||
let p00 = rgb.get_pixel(x0, y0);
|
||||
let p10 = rgb.get_pixel(x1, y0);
|
||||
let p01 = rgb.get_pixel(x0, y1);
|
||||
let p11 = rgb.get_pixel(x1, y1);
|
||||
|
||||
let r = (p00[0] as f32 * (1.0 - dx) * (1.0 - dy)
|
||||
+ p10[0] as f32 * dx * (1.0 - dy)
|
||||
+ p01[0] as f32 * (1.0 - dx) * dy
|
||||
+ p11[0] as f32 * dx * dy) as u8;
|
||||
let g = (p00[1] as f32 * (1.0 - dx) * (1.0 - dy)
|
||||
+ p10[1] as f32 * dx * (1.0 - dy)
|
||||
+ p01[1] as f32 * (1.0 - dx) * dy
|
||||
+ p11[1] as f32 * dx * dy) as u8;
|
||||
let b = (p00[2] as f32 * (1.0 - dx) * (1.0 - dy)
|
||||
+ p10[2] as f32 * dx * (1.0 - dy)
|
||||
+ p01[2] as f32 * (1.0 - dx) * dy
|
||||
+ p11[2] as f32 * dx * dy) as u8;
|
||||
|
||||
Rgb([r, g, b])
|
||||
} else {
|
||||
// Out of bounds - use black
|
||||
Rgb([0, 0, 0])
|
||||
}
|
||||
});
|
||||
|
||||
DynamicImage::ImageRgb8(output)
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
|
|
|||
Loading…
Reference in a new issue