apply custom text

This commit is contained in:
Julian Freeman
2026-01-19 08:41:45 -04:00
parent 16bb3e5135
commit e1f2c8efc8
3 changed files with 178 additions and 57 deletions

View File

@@ -170,8 +170,8 @@ async fn export_batch(images: Vec<ExportImageTask>, watermark: WatermarkSettings
let scaled_font = PxScale::from(scale_px); let scaled_font = PxScale::from(scale_px);
let (t_width, _t_height) = imageproc::drawing::text_size(scaled_font, &font, &watermark.text); let (t_width, _t_height) = imageproc::drawing::text_size(scaled_font, &font, &watermark.text);
// 3. Ensure it fits width (Padding 5%) // 3. Ensure it fits width (Padding 10%)
let max_width = (width as f32 * 0.95) as u32; let max_width = (width as f32 * 0.90) as u32;
if t_width > max_width { if t_width > max_width {
let ratio = max_width as f32 / t_width as f32; let ratio = max_width as f32 / t_width as f32;
scale_px *= ratio; scale_px *= ratio;
@@ -277,26 +277,39 @@ async fn export_batch(images: Vec<ExportImageTask>, watermark: WatermarkSettings
fn calculate_zca_internal(img: &image::DynamicImage) -> Result<ZcaResult, String> { fn calculate_zca_internal(img: &image::DynamicImage) -> Result<ZcaResult, String> {
let (width, height) = img.dimensions(); let (width, height) = img.dimensions();
let bottom_start_y = (height as f64 * 0.8) as u32; // Greedy Layered Search
let zone_height = height - bottom_start_y; // Priority: Bottom -> Up
let zone_width = width / 3; let y_levels = [0.97, 0.94, 0.91, 0.88];
let x_cols = [1.0/6.0, 3.0/6.0, 5.0/6.0]; // Left, Center, Right centers
let col_names = ["Left", "Center", "Right"];
let zones = [ // Box Size for analysis (approx watermark size)
("Left", 0, bottom_start_y), let box_w = (width as f64 * 0.30) as u32;
("Center", zone_width, bottom_start_y), let box_h = (height as f64 * 0.05) as u32;
("Right", zone_width * 2, bottom_start_y), let half_box_w = box_w / 2;
]; let half_box_h = box_h / 2;
let mut min_std_dev = f64::MAX; let mut global_best_score = f64::MAX;
let mut best_zone = "Center"; let mut global_best_result = ZcaResult { x: 0.5, y: 0.97, zone: "Center".to_string() };
let mut best_pos = (0.5, 0.97);
for (name, start_x, start_y) in zones.iter() { for &y_pct in y_levels.iter() {
let mut luma_values = Vec::with_capacity((zone_width * zone_height) as usize); let mut row_best_score = f64::MAX;
let mut row_best_idx = 1; // Default Center
let mut row_stats = Vec::new(); // (mean, std_dev)
for y in *start_y..height { for (col_idx, &x_pct) in x_cols.iter().enumerate() {
for x in *start_x..(*start_x + zone_width) { let cx = (width as f64 * x_pct) as u32;
if x >= width { continue; } let cy = (height as f64 * y_pct) as u32;
let start_x = if cx > half_box_w { cx - half_box_w } else { 0 };
let start_y = if cy > half_box_h { cy - half_box_h } else { 0 };
let end_x = (start_x + box_w).min(width);
let end_y = (start_y + box_h).min(height);
let mut luma_values = Vec::with_capacity((box_w * box_h) as usize);
for y in start_y..end_y {
for x in start_x..end_x {
let pixel = img.get_pixel(x, y); let pixel = img.get_pixel(x, y);
let rgb = pixel.to_rgb(); let rgb = pixel.to_rgb();
let luma = 0.299 * rgb[0] as f64 + 0.587 * rgb[1] as f64 + 0.114 * rgb[2] as f64; let luma = 0.299 * rgb[0] as f64 + 0.587 * rgb[1] as f64 + 0.114 * rgb[2] as f64;
@@ -305,28 +318,53 @@ fn calculate_zca_internal(img: &image::DynamicImage) -> Result<ZcaResult, String
} }
let count = luma_values.len() as f64; let count = luma_values.len() as f64;
if count == 0.0 { continue; } if count == 0.0 {
row_stats.push((0.0, f64::MAX));
continue;
}
let mean = luma_values.iter().sum::<f64>() / count; let mean = luma_values.iter().sum::<f64>() / count;
let variance = luma_values.iter().map(|v| (v - mean).powi(2)).sum::<f64>() / count; let variance = luma_values.iter().map(|v| (v - mean).powi(2)).sum::<f64>() / count;
let std_dev = variance.sqrt(); let std_dev = variance.sqrt();
if std_dev < min_std_dev { row_stats.push((mean, std_dev));
min_std_dev = std_dev;
best_zone = name; // For choosing "Best in Row", we strictly prefer Flatness (StdDev)
let center_x_px = *start_x as f64 + (zone_width as f64 / 2.0); if std_dev < row_best_score {
// Position closer to bottom row_best_score = std_dev;
// 0.8 + 0.2 * 0.85 = 0.97 row_best_idx = col_idx;
let center_y_px = *start_y as f64 + (zone_height as f64 * 0.85); }
best_pos = (center_x_px / width as f64, center_y_px / height as f64);
// Update Global Best (fallback)
if std_dev < global_best_score {
global_best_score = std_dev;
global_best_result = ZcaResult {
x: x_pct,
y: y_pct,
zone: col_names[col_idx].to_string(),
};
} }
} }
Ok(ZcaResult { // Analyze the Best Zone in this Row
x: best_pos.0, let (mean, std_dev) = row_stats[row_best_idx];
y: best_pos.1,
zone: best_zone.to_string(), // Safety Check: Is this zone "White Text"?
}) // Condition: Mean > 180 (Bright-ish) AND StdDev > 20 (Busy/Text)
let is_unsafe_white_text = mean > 180.0 && std_dev > 20.0;
let is_unsafe_bright = mean > 230.0;
if !is_unsafe_white_text && !is_unsafe_bright {
// Safe!
return Ok(ZcaResult {
x: x_cols[row_best_idx],
y: y_pct,
zone: col_names[row_best_idx].to_string(),
});
}
}
Ok(global_best_result)
} }
#[tauri::command] #[tauri::command]
@@ -335,6 +373,63 @@ fn get_zca_suggestion(path: String) -> Result<ZcaResult, String> {
calculate_zca_internal(&img) calculate_zca_internal(&img)
} }
#[derive(serde::Serialize)]
struct LayoutResult {
x: f64,
y: f64,
scale: f64,
}
#[tauri::command]
async fn layout_watermark(path: String, text: String, base_scale: f64) -> Result<LayoutResult, String> {
let img = image::open(&path).map_err(|e| e.to_string())?;
let (width, height) = img.dimensions();
let font = FontRef::try_from_slice(FONT_DATA).map_err(|e| format!("Font error: {}", e))?;
// 1. Run ZCA to find best zone center (now with dark preference)
let zca = calculate_zca_internal(&img)?;
// 2. Calculate Text Dimensions at Base Scale
let mut scale_val = base_scale;
let mut scale_px = height as f32 * scale_val as f32;
let mut font_scale = PxScale::from(scale_px);
let (mut t_width, mut t_height) = imageproc::drawing::text_size(font_scale, &font, &text);
// 3. Auto-Fit Width (Limit to 90% of image width)
let max_width = (width as f32 * 0.90) as u32;
if t_width > max_width {
let ratio = max_width as f32 / t_width as f32;
scale_val *= ratio as f64;
scale_px *= ratio;
font_scale = PxScale::from(scale_px);
let dims = imageproc::drawing::text_size(font_scale, &font, &text);
t_width = dims.0;
t_height = dims.1;
}
// 4. Smart Clamping
let center_x = zca.x * width as f64;
let center_y = zca.y * height as f64;
let half_w = t_width as f64 / 2.0;
let half_h = t_height as f64 / 2.0;
let padding = width as f64 * 0.02;
let min_x = half_w + padding;
let max_x = width as f64 - half_w - padding;
let final_x = center_x.clamp(min_x, max_x);
let min_y = half_h + padding;
let max_y = height as f64 - half_h - padding;
let final_y = center_y.clamp(min_y, max_y);
Ok(LayoutResult {
x: final_x / width as f64,
y: final_y / height as f64,
scale: scale_val,
})
}
#[derive(serde::Serialize)] #[derive(serde::Serialize)]
struct DetectionResult { struct DetectionResult {
rects: Vec<Rect>, rects: Vec<Rect>,
@@ -453,7 +548,7 @@ async fn detect_watermark(path: String) -> Result<DetectionResult, String> {
pub fn run() { pub fn run() {
tauri::Builder::default() tauri::Builder::default()
.plugin(tauri_plugin_dialog::init()) .plugin(tauri_plugin_dialog::init())
.invoke_handler(tauri::generate_handler![scan_dir, get_zca_suggestion, export_batch, detect_watermark]) .invoke_handler(tauri::generate_handler![scan_dir, get_zca_suggestion, export_batch, detect_watermark, layout_watermark])
.run(tauri::generate_context!()) .run(tauri::generate_context!())
.expect("error while running tauri application"); .expect("error while running tauri application");
} }

View File

@@ -1,6 +1,6 @@
<script setup lang="ts"> <script setup lang="ts">
import { useGalleryStore } from "../stores/gallery"; import { useGalleryStore } from "../stores/gallery";
import { Settings, CheckSquare, Type, Palette, Copy, Eraser, PlusSquare, Brush, Sparkles, Trash2 } from 'lucide-vue-next'; import { Settings, CheckSquare, Type, Palette, Copy, Eraser, PlusSquare, Brush, Sparkles, Trash2, RotateCw } from 'lucide-vue-next';
import { computed } from "vue"; import { computed } from "vue";
const store = useGalleryStore(); const store = useGalleryStore();
@@ -89,7 +89,8 @@ const applyAll = () => {
<!-- Text Input --> <!-- Text Input -->
<div class="flex flex-col gap-2"> <div class="flex flex-col gap-2">
<label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">Content</label> <label class="text-sm text-gray-400 uppercase tracking-wider font-semibold">Content</label>
<div class="relative"> <div class="flex gap-2">
<div class="relative flex-1">
<Type class="absolute left-3 top-2.5 w-4 h-4 text-gray-500" /> <Type class="absolute left-3 top-2.5 w-4 h-4 text-gray-500" />
<input <input
type="text" type="text"
@@ -98,6 +99,14 @@ const applyAll = () => {
placeholder="Enter text..." placeholder="Enter text..."
/> />
</div> </div>
<button
@click="store.recalcCurrentWatermark()"
class="bg-blue-600 hover:bg-blue-500 text-white p-2 rounded flex items-center justify-center transition-colors"
title="Apply & Recalculate Layout"
>
<RotateCw class="w-4 h-4" />
</button>
</div>
</div> </div>
<!-- Color Picker --> <!-- Color Picker -->

View File

@@ -104,10 +104,6 @@ export const useGalleryStore = defineStore("gallery", () => {
const result = await invoke<{rects: {x: number, y: number, width: number, height: number}[]}>("detect_watermark", { path: img.path }); const result = await invoke<{rects: {x: number, y: number, width: number, height: number}[]}>("detect_watermark", { path: img.path });
if (result.rects && result.rects.length > 0) { if (result.rects && result.rects.length > 0) {
// Append to existing strokes? Or replace?
// User said "first automatically detect... but allow manual paint".
// Usually detection is a starting point. Let's append.
// (If user wants to restart, they can Clear first).
if (!img.maskStrokes) img.maskStrokes = []; if (!img.maskStrokes) img.maskStrokes = [];
result.rects.forEach(r => { result.rects.forEach(r => {
@@ -122,6 +118,26 @@ export const useGalleryStore = defineStore("gallery", () => {
} }
} }
async function recalcCurrentWatermark() {
if (selectedIndex.value < 0 || !selectedImage.value) return;
const img = selectedImage.value;
try {
const result = await invoke<{x: number, y: number, scale: number}>("layout_watermark", {
path: img.path,
text: watermarkSettings.value.text,
baseScale: watermarkSettings.value.scale
});
// Apply to current image
setImageManualPosition(selectedIndex.value, result.x, result.y);
setImageSetting(selectedIndex.value, 'scale', result.scale);
} catch (e) {
console.error("Layout failed", e);
}
}
// Applies the settings from the CURRENT image (or global if not overridden) to ALL images // Applies the settings from the CURRENT image (or global if not overridden) to ALL images
// Strategy: Update Global Settings to match current view, and clear individual overrides so everyone follows global. // Strategy: Update Global Settings to match current view, and clear individual overrides so everyone follows global.
function applySettingsToAll() { function applySettingsToAll() {
@@ -175,6 +191,7 @@ export const useGalleryStore = defineStore("gallery", () => {
applySettingsToAll, applySettingsToAll,
addMaskStroke, addMaskStroke,
clearMask, clearMask,
detectWatermark detectWatermark,
recalcCurrentWatermark
}; };
}); });