Refine texture metrics and update default weights for premium pattern detection

- Added overlay color storage to settings import/export
- Removed generic keyboard shortcuts from menus and replaced them with localized tooltips
- Added QTimer debouncing to log history dialog to prevent status string spam
- Ensured export worker gracefully handles KeyErrors with standard return tuple

.gitignore

@@ -156,3 +156,6 @@ uv/
 *.merge_file_*
 .git/modules/
 .git/worktrees/
+
+# ICRA specific
+analyses/

LICENSE

@@ -0,0 +1,676 @@
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+                       Version 3, 29 June 2007
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+PARTICULAR PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE
+OF THE PROGRAM IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU
+ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING
+ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF
+THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO
+LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY
+YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY
+OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF
+THE POSSIBILITY OF SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the absence of warranty; and each file should have at least the
+"copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications
+with the library.  If this is what you want to do, use the GNU Lesser
+General Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -1,57 +1,99 @@
 <div style="display:flex; gap:16px; align-items:center;">
   <img src="app/assets/logo.png" alt="ICRA" width="140"/>
   <div>
-    <strong>Interactive Color Range Analyzer</strong> is a Tkinter-based desktop tool for highlighting customised colour ranges in images.<br/>
+    <strong>Interactive Color Range Analyzer (ICRA)</strong><br/>
-    Load a single photo or an entire folder, fine-tune hue/saturation/value sliders, and export overlays complete with quick statistics.
+    A professional desktop application for high-precision color matching, clustering analysis, and batch statistics generation.
   </div>
 </div>
 
 ## Features
-- Two synced previews (original + overlay)
+- **High-Performance Image Processing:** Native, vectorized NumPy operations for lightning-fast HSV conversion and color matching.
-- Hue/Sat/Value sliders with presets and image colour picker
+- **Automatic Background Exclusion:** Intelligently ignores background pixels (configurable in `config.toml`) to ensure they don't interfere with your analysis.
-- Exclusion rectangles or freehand polygons that persist while browsing
+- **Grouping Score (Clustering):** A high-performance 9x9 box-sum algorithm that rewards solid "splashes" of color and penalizes thin lines or fragmented noise.
-- Theme toggle (light/dark) with rounded toolbar buttons and accent-aware highlights
+- **Batch Processing & Customizable Export:** Load a folder of images and instantly export `icra_stats.csv` and `icra_settings.json`. Features a dedicated **Weighting Dialog** to customize the impact of each core component, outputting precise percentage-based column headers.
-- Folder support with wrap-around previous/next navigation
+- **Import/Export Settings:** Save your HSV ranges, exclusion zones, weighting preferences, and custom overlay colors to a JSON file and reload them later for consistent analysis across different sessions.
-- Quick overlay export (PNG) with configurable defaults and language settings via `config.toml`
+- **Eyedropper Tool:** Quickly pick target matching colors directly from the image canvas.
+- **Advanced Selection:** Support for exclusion zones (rectangles and free-draw polygons) overlaid on the image, all dynamically rendered via `QGraphicsView`.
+- **Modern UI & UX:** 
+  - Drag-and-drop support for files and folders.
+  - Custom dark and light themes with native-feeling borderless titlebars.
+  - Context-aware hover tooltips across the cleanly categorized menu bar.
+  - Window size and position persistence between launches.
+- **Configurable:** Uses `config.toml` to drive everything from overlay matching colors to default sliders and application language (`en`/`de`).
+
+## Core Concepts
+
+### 1. HSV Color Matching
+Instead of simple RGB, ICRA uses the **HSV (Hue, Saturation, Value)** color space. This allows for more intuitive color selection:
+- **Hue (0-360°):** The base "color" (Red, Green, Blue, etc.).
+- **Saturation (0-100%):** The intensity or "vibrancy".
+- **Value (0-100%):** The brightness.
+Matching is performed by checking if each pixel's HSV values fall within your defined ranges.
+
+### 2. Scoring Components
+The **Composite Score** is calculated weighted by your preferences:
+- **Match (Keep):** Percentage of matching pixels *after* excluding your manual shapes and background areas.
+- **Match (All):** Percentage of matching pixels across the entire image.
+- **Brightness Score:** Calculated from the average brightness of the "Keep" areas. If "Prefer Dark" is ON, lower brightness results in a higher score.
+- **Grouping Score:** Uses a 9x9 box-sum density check. Higher values indicate that matching pixels are clustered into solid blocks rather than scattered noise.
+
+### 3. Background Filtering
+To ensure accurate statistics, ICRA automatically filters out the image background (e.g., the dark grey/black backdrop in weapon screenshots). These settings are fully configurable in `config.toml`, allowing you to adjust the target color and the tolerance required for exclusion.
+
+### 4. Exclusion Zones
+Use the **Exclusion Tool** to draw rectangles or polygons over areas you want to ignore. This is essential for focusing your analysis on specific parts of a complex image while ignoring background noise or irrelevant details.
+
+### 5. Configuration (`config.toml`)
+The application is highly customizable via `config.toml`. This file is included in the repository and contains detailed comments explaining each available setting—from default sliders and language selection to UI masking colors and initial background exclusion tolerances.
+
+## Typical Workflow
+
+1.  **Load Data:** Drag and drop a folder or use the `File` menu to load your images.
+2.  **Pick Color:** Use the Eyedropper tool to select your target color directly from the image.
+3.  **Refine HSV:** Fine-tune the Hue, Saturation, and Value sliders to perfect the mask.
+4.  **Draw Exclusions:** Add exclusion shapes to ignore parts of the image that shouldn't be counted.
+5.  **Export:** Click `Export Folder Stats`. Define your weights (e.g., prioritize the Grouping Score if you want coherent splashes) and save your results.
+6.  **Persistent Settings:** Use `File -> Export Settings` to save your configuration, or `File -> Import Settings` to restore a previous setup.
 
 ## Requirements
-- Python 3.11+ (3.10 works with `tomli`)
+- Python 3.11+
 - [uv](https://github.com/astral-sh/uv) for dependency management
-- Tkinter (install separately on some Linux distros)
+- Works across Windows, macOS, and Linux (requires PySide6 and numpy)
 
-## Setup with uv (Windows PowerShell)
+## Setup with uv
 ```bash
 git clone https://git.lukasmahler.de/lm/ICRA.git
 cd ICRA
 uv venv
-source .venv/Scripts/activate
+source .venv/Scripts/activate    # macOS/Linux: source .venv/bin/activate
 uv pip install .
 uv run icra
 ```
-The launcher copies Tcl/Tk resources into the virtualenv on first run, so no manual environment tweaks are needed. On macOS/Linux replace the activate step with `source .venv/bin/activate`.
 
-## Workflow
+## Running the Test Suite
-1. Load an image (`📂`) or a folder (`📁`).
+The core image processing logic and UI data models are rigorously tested using `pytest`.
-2. Pick a colour (`🎨` dialog, `🖱️` image click, or preset swatch).
+```bash
-3. Fine‑tune sliders; watch the overlay update on the right.
+uv run pytest tests/ -v
-4. Toggle freehand mode (`△`) or stick with rectangles and mark areas to exclude (right mouse drag).
+```
-5. Move through folder images with `⬅️` / `➡️`; exclusions stay put unless you opt into automatic resets.
-6. Save an overlay (`💾`) when ready.
 
 ## Project Layout
 ```
 app/
-  app.py          # main app assembly
+  assets/        # Icons and branding
-  gui/            # UI, theme, picker mixins
+  lang/          # Translations (TOML)
-  logic/          # image ops, defaults, config helpers
+  qt/            # UI implementation and NumPy processing
-  lang/           # localisation TOML files
+tests/           # Unit tests for core analysis
-config.toml       # optional defaults
+config.toml      # User-facing configuration
-main.py           # entry point
+main.py          # Entry point
+LICENSE          # GNU GPLv3 terms
 ```
 
-## Localisation
-- English and German translations ship in `app/lang`. Set the desired language via the top-level `language` key in `config.toml`.
-
 ## Development
-- Quick check: `uv run python -m compileall app main.py`
+- **Tests**: Run `uv run pytest tests/ -v` to verify the core logic.
-- Contributions welcome; include screenshots for UI tweaks.
+- **Environment**: Managed via `uv`. Run `uv sync` to ensure your environment matches the lockfile.
+
+## Contributing
+Contributions are welcome! Open an issue or submit a pull request.
+
+## License
+GPLv3 License. See the LICENSE file for details.

app/__init__.py

@@ -1,5 +1,9 @@
-"""Application package."""
+"""Application package exposing the PySide6 entry points."""
 
-from .app import ICRAApp, start_app
+from __future__ import annotations
 
-__all__ = ["ICRAApp", "start_app"]
+from .qt import create_application as create_qt_app, run as run_qt_app
+
+start_app = run_qt_app
+
+__all__ = ["create_qt_app", "run_qt_app", "start_app"]

app/app.py

@@ -1,90 +0,0 @@
-"""Application composition root."""
-
-from __future__ import annotations
-
-import tkinter as tk
-
-from .gui import ColorPickerMixin, ExclusionMixin, ThemeMixin, UIBuilderMixin
-from .i18n import I18nMixin
-from .logic import DEFAULTS, LANGUAGE, RESET_EXCLUSIONS_ON_IMAGE_CHANGE, ImageProcessingMixin, ResetMixin
-
-
-class ICRAApp(
-    I18nMixin,
-    ThemeMixin,
-    UIBuilderMixin,
-    ImageProcessingMixin,
-    ExclusionMixin,
-    ColorPickerMixin,
-    ResetMixin,
-):
-    """Tkinter based application for isolating configurable colour ranges."""
-
-    def __init__(self, root: tk.Tk):
-        self.root = root
-        self.init_i18n(LANGUAGE)
-        self.root.title(self._t("app.title"))
-        self._setup_window()
-
-        # Theme and styling
-        self.init_theme()
-
-        # Tkinter state variables
-        self.DEFAULTS = DEFAULTS.copy()
-        self.hue_min = tk.DoubleVar(value=self.DEFAULTS["hue_min"])
-        self.hue_max = tk.DoubleVar(value=self.DEFAULTS["hue_max"])
-        self.sat_min = tk.DoubleVar(value=self.DEFAULTS["sat_min"])
-        self.val_min = tk.DoubleVar(value=self.DEFAULTS["val_min"])
-        self.val_max = tk.DoubleVar(value=self.DEFAULTS["val_max"])
-        self.alpha = tk.IntVar(value=self.DEFAULTS["alpha"])
-        self.ref_hue = None
-
-        # Debounce for heavy preview updates
-        self.update_delay_ms = 400
-        self._update_job = None
-
-        # Exclusion rectangles (preview coordinates)
-        self.exclude_shapes: list[dict[str, object]] = []
-        self._rubber_start = None
-        self._rubber_id = None
-        self._stroke_preview_id = None
-        self.exclude_mode = "rect"
-        self.reset_exclusions_on_switch = RESET_EXCLUSIONS_ON_IMAGE_CHANGE
-        self._exclude_mask = None
-        self._exclude_mask_dirty = True
-        self._exclude_mask_px = None
-        self._exclude_canvas_ids: list[int] = []
-        self._current_stroke: list[tuple[int, int]] | None = None
-        self.free_draw_width = 14
-        self.pick_mode = False
-
-        # Image references
-        self.image_path = None
-        self.orig_img = None
-        self.preview_img = None
-        self.preview_tk = None
-        self.overlay_tk = None
-        self.image_paths = []
-        self.current_image_index = -1
-
-        # Build UI
-        self.setup_ui()
-        self._init_copy_menu()
-        self.bring_to_front()
-
-    def _setup_window(self) -> None:
-        self.root.overrideredirect(True)
-        screen_width = self.root.winfo_screenwidth()
-        screen_height = self.root.winfo_screenheight()
-        self.root.geometry(f"{screen_width}x{screen_height}+0+0")
-        self.root.configure(bg="#f2f2f7")
-
-
-def start_app() -> None:
-    """Entry point used by the CLI script."""
-    root = tk.Tk()
-    app = ICRAApp(root)
-    root.mainloop()
-
-
-__all__ = ["ICRAApp", "start_app"]

app/gui/__init__.py

@@ -1,13 +0,0 @@
-"""GUI-related mixins and helpers for the application."""
-
-from .color_picker import ColorPickerMixin
-from .exclusions import ExclusionMixin
-from .theme import ThemeMixin
-from .ui import UIBuilderMixin
-
-__all__ = [
-    "ColorPickerMixin",
-    "ExclusionMixin",
-    "ThemeMixin",
-    "UIBuilderMixin",
-]

app/gui/color_picker.py

@@ -1,158 +0,0 @@
-"""Color selection utilities."""
-
-from __future__ import annotations
-
-import colorsys
-
-from tkinter import colorchooser, messagebox
-
-
-class ColorPickerMixin:
-    """Handles colour selection from dialogs and mouse clicks."""
-
-    ref_hue: float | None
-    hue_span: float = 45.0  # degrees around the picked hue
-    selected_colour: tuple[int, int, int] | None = None
-
-    def choose_color(self):
-        title = self._t("dialog.choose_colour_title") if hasattr(self, "_t") else "Choose colour"
-        rgb, hex_colour = colorchooser.askcolor(title=title)
-        if rgb is None:
-            return
-        r, g, b = (int(round(channel)) for channel in rgb)
-        hue_deg, sat_pct, val_pct = self._apply_rgb_selection(r, g, b)
-        label = hex_colour or f"RGB({r}, {g}, {b})"
-        message = self._t(
-            "status.color_selected",
-            label=label,
-            hue=hue_deg,
-            saturation=sat_pct,
-            value=val_pct,
-        )
-        self.status.config(text=message)
-        self._update_selected_colour(r, g, b)
-
-    def apply_sample_colour(self, hex_colour: str, name: str | None = None) -> None:
-        """Apply a predefined colour preset."""
-        rgb = self._parse_hex_colour(hex_colour)
-        if rgb is None:
-            return
-        hue_deg, sat_pct, val_pct = self._apply_rgb_selection(*rgb)
-        if self.pick_mode:
-            self.pick_mode = False
-        label = name or hex_colour.upper()
-        message = self._t(
-            "status.sample_colour",
-            label=label,
-            hex_code=hex_colour,
-            hue=hue_deg,
-            saturation=sat_pct,
-            value=val_pct,
-        )
-        self.status.config(text=message)
-        self._update_selected_colour(*rgb)
-
-    def enable_pick_mode(self):
-        if self.preview_img is None:
-            messagebox.showinfo(
-                self._t("dialog.info_title"),
-                self._t("dialog.load_image_first"),
-            )
-            return
-        self.pick_mode = True
-        self.status.config(text=self._t("status.pick_mode_ready"))
-
-    def disable_pick_mode(self, event=None):
-        if self.pick_mode:
-            self.pick_mode = False
-            self.status.config(text=self._t("status.pick_mode_ended"))
-
-    def on_canvas_click(self, event):
-        if not self.pick_mode or self.preview_img is None:
-            return
-        x = int(event.x)
-        y = int(event.y)
-        if x < 0 or y < 0 or x >= self.preview_img.width or y >= self.preview_img.height:
-            return
-        r, g, b, a = self.preview_img.getpixel((x, y))
-        if a == 0:
-            return
-        hue_deg, sat_pct, val_pct = self._apply_rgb_selection(r, g, b)
-        self.disable_pick_mode()
-        self.status.config(
-            text=self._t(
-                "status.pick_mode_from_image",
-                hue=hue_deg,
-                saturation=sat_pct,
-                value=val_pct,
-            )
-        )
-        self._update_selected_colour(r, g, b)
-
-    def _apply_rgb_selection(self, r: int, g: int, b: int) -> tuple[float, float, float]:
-        """Update slider ranges based on an RGB colour and return HSV summary."""
-        h, s, v = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)
-        hue_deg = (h * 360.0) % 360.0
-        self.ref_hue = hue_deg
-        self._set_slider_targets(hue_deg, s, v)
-        self.update_preview()
-        return hue_deg, s * 100.0, v * 100.0
-
-    def _update_selected_colour(self, r: int, g: int, b: int) -> None:
-        self.selected_colour = (r, g, b)
-        hex_colour = f"#{r:02x}{g:02x}{b:02x}"
-        if hasattr(self, "current_colour_sw"):
-            try:
-                self.current_colour_sw.configure(background=hex_colour)
-            except Exception:
-                pass
-        if hasattr(self, "current_colour_label"):
-            try:
-                self.current_colour_label.configure(text=f"({hex_colour})")
-            except Exception:
-                pass
-
-    def _set_slider_targets(self, hue_deg: float, saturation: float, value: float) -> None:
-        span = getattr(self, "hue_span", 45.0)
-        self.hue_min.set((hue_deg - span) % 360)
-        self.hue_max.set((hue_deg + span) % 360)
-
-        sat_pct = saturation * 100.0
-        sat_margin = 35.0
-        sat_min = max(0.0, min(100.0, sat_pct - sat_margin))
-        if saturation <= 0.05:
-            sat_min = 0.0
-        self.sat_min.set(sat_min)
-
-        v_pct = value * 100.0
-        val_margin = 35.0
-        val_min = max(0.0, v_pct - val_margin)
-        val_max = min(100.0, v_pct + val_margin)
-        if value <= 0.15:
-            val_max = min(45.0, max(val_max, 25.0))
-        if value >= 0.85:
-            val_min = max(55.0, min(val_min, 80.0))
-        if val_max <= val_min:
-            val_max = min(100.0, val_min + 10.0)
-        self.val_min.set(val_min)
-        self.val_max.set(val_max)
-
-    @staticmethod
-    def _parse_hex_colour(hex_colour: str | None) -> tuple[int, int, int] | None:
-        if not hex_colour:
-            return None
-        value = hex_colour.strip().lstrip("#")
-        if len(value) == 3:
-            value = "".join(ch * 2 for ch in value)
-        if len(value) != 6:
-            return None
-        try:
-            r = int(value[0:2], 16)
-            g = int(value[2:4], 16)
-            b = int(value[4:6], 16)
-        except ValueError:
-            return None
-        return r, g, b
-
-
-__all__ = ["ColorPickerMixin"]

app/gui/exclusions.py

@@ -1,207 +0,0 @@
-"""Mouse handlers for exclusion shapes."""
-
-from __future__ import annotations
-
-
-class ExclusionMixin:
-    """Manage exclusion shapes (rectangles and freehand strokes) on the preview canvas."""
-
-    def _exclude_start(self, event):
-        if self.preview_img is None:
-            return
-        mode = getattr(self, "exclude_mode", "rect")
-        x = max(0, min(self.preview_img.width - 1, int(event.x)))
-        y = max(0, min(self.preview_img.height - 1, int(event.y)))
-        if mode == "free":
-            self._current_stroke = [(x, y)]
-            preview_id = getattr(self, "_stroke_preview_id", None)
-            if preview_id:
-                try:
-                    self.canvas_orig.delete(preview_id)
-                except Exception:
-                    pass
-            accent = self._exclusion_preview_colour()
-            self._stroke_preview_id = self.canvas_orig.create_line(
-                x,
-                y,
-                x,
-                y,
-                fill=accent,
-                width=2,
-                smooth=True,
-                capstyle="round",
-                joinstyle="round",
-            )
-            self._rubber_start = None
-            return
-        self._rubber_start = (x, y)
-        if self._rubber_id:
-            try:
-                self.canvas_orig.delete(self._rubber_id)
-            except Exception:
-                pass
-        accent = self._exclusion_preview_colour()
-        self._rubber_id = self.canvas_orig.create_rectangle(x, y, x, y, outline=accent, width=2)
-
-    def _exclude_drag(self, event):
-        mode = getattr(self, "exclude_mode", "rect")
-        if mode == "free":
-            stroke = getattr(self, "_current_stroke", None)
-            if not stroke:
-                return
-            x = max(0, min(self.preview_img.width - 1, int(event.x)))
-            y = max(0, min(self.preview_img.height - 1, int(event.y)))
-            if stroke[-1] != (x, y):
-                stroke.append((x, y))
-                preview_id = getattr(self, "_stroke_preview_id", None)
-                if preview_id:
-                    coords = [coord for point in stroke for coord in point]
-                    self.canvas_orig.coords(preview_id, *coords)
-            return
-        if not self._rubber_start:
-            return
-        x0, y0 = self._rubber_start
-        x1 = max(0, min(self.preview_img.width - 1, int(event.x)))
-        y1 = max(0, min(self.preview_img.height - 1, int(event.y)))
-        self.canvas_orig.coords(self._rubber_id, x0, y0, x1, y1)
-
-    def _exclude_end(self, event):
-        mode = getattr(self, "exclude_mode", "rect")
-        if mode == "free":
-            stroke = getattr(self, "_current_stroke", None)
-            if stroke and len(stroke) > 2:
-                polygon = self._close_polygon(self._compress_stroke(stroke))
-                if len(polygon) >= 3:
-                    shape = {
-                        "kind": "polygon",
-                        "points": polygon,
-                    }
-                    self.exclude_shapes.append(shape)
-                    stamper = getattr(self, "_stamp_shape_on_mask", None)
-                    if callable(stamper):
-                        stamper(shape)
-                    else:
-                        self._exclude_mask_dirty = True
-            self._current_stroke = None
-            preview_id = getattr(self, "_stroke_preview_id", None)
-            if preview_id:
-                try:
-                    self.canvas_orig.delete(preview_id)
-                except Exception:
-                    pass
-            self._stroke_preview_id = None
-            self.update_preview()
-            return
-        if not self._rubber_start:
-            return
-        x0, y0 = self._rubber_start
-        x1 = max(0, min(self.preview_img.width - 1, int(event.x)))
-        y1 = max(0, min(self.preview_img.height - 1, int(event.y)))
-        rx0, rx1 = sorted((x0, x1))
-        ry0, ry1 = sorted((y0, y1))
-        if (rx1 - rx0) > 0 and (ry1 - ry0) > 0:
-            shape = {"kind": "rect", "coords": (rx0, ry0, rx1, ry1)}
-            self.exclude_shapes.append(shape)
-            stamper = getattr(self, "_stamp_shape_on_mask", None)
-            if callable(stamper):
-                stamper(shape)
-            else:
-                self._exclude_mask_dirty = True
-        if self._rubber_id:
-            try:
-                self.canvas_orig.delete(self._rubber_id)
-            except Exception:
-                pass
-        self._rubber_start = None
-        self._rubber_id = None
-        self.update_preview()
-
-    def clear_excludes(self):
-        self.exclude_shapes = []
-        self._rubber_start = None
-        self._current_stroke = None
-        if self._rubber_id:
-            try:
-                self.canvas_orig.delete(self._rubber_id)
-            except Exception:
-                pass
-            self._rubber_id = None
-        if self._stroke_preview_id:
-            try:
-                self.canvas_orig.delete(self._stroke_preview_id)
-            except Exception:
-                pass
-            self._stroke_preview_id = None
-        for item in getattr(self, "_exclude_canvas_ids", []):
-            try:
-                self.canvas_orig.delete(item)
-            except Exception:
-                pass
-        self._exclude_canvas_ids = []
-        self._exclude_mask = None
-        self._exclude_mask_px = None
-        self._exclude_mask_dirty = True
-        self.update_preview()
-
-    def undo_exclude(self):
-        if not getattr(self, "exclude_shapes", None):
-            return
-        self.exclude_shapes.pop()
-        self._exclude_mask_dirty = True
-        self.update_preview()
-
-    def toggle_exclusion_mode(self):
-        current = getattr(self, "exclude_mode", "rect")
-        next_mode = "free" if current == "rect" else "rect"
-        self.exclude_mode = next_mode
-        self._current_stroke = None
-        if next_mode == "free":
-            if self._rubber_id:
-                try:
-                    self.canvas_orig.delete(self._rubber_id)
-                except Exception:
-                    pass
-                self._rubber_id = None
-            self._rubber_start = None
-        else:
-            if self._stroke_preview_id:
-                try:
-                    self.canvas_orig.delete(self._stroke_preview_id)
-                except Exception:
-                    pass
-                self._stroke_preview_id = None
-            self._rubber_id = None
-        message_key = "status.free_draw_enabled" if next_mode == "free" else "status.free_draw_disabled"
-        if hasattr(self, "status"):
-            try:
-                self.status.config(text=self._t(message_key))
-            except Exception:
-                pass
-
-    @staticmethod
-    def _compress_stroke(points: list[tuple[int, int]]) -> list[tuple[int, int]]:
-        """Reduce duplicate points without altering the drawn path too much."""
-        if not points:
-            return []
-        compressed: list[tuple[int, int]] = [points[0]]
-        for point in points[1:]:
-            if point != compressed[-1]:
-                compressed.append(point)
-        return compressed
-
-    def _exclusion_preview_colour(self) -> str:
-        is_dark = getattr(self, "theme", "light") == "dark"
-        return "#ffd700" if is_dark else "#c56217"
-
-    @staticmethod
-    def _close_polygon(points: list[tuple[int, int]]) -> list[tuple[int, int]]:
-        """Ensure the polygon is closed by repeating the start if necessary."""
-        if len(points) < 3:
-            return points
-        closed = list(points)
-        if closed[0] != closed[-1]:
-            closed.append(closed[0])
-        return closed
-
-
-__all__ = ["ExclusionMixin"]

app/gui/theme.py

@@ -1,106 +0,0 @@
-"""Theme and window helpers."""
-
-from __future__ import annotations
-
-import platform
-from tkinter import ttk
-
-try:
-    import winreg
-except Exception:  # pragma: no cover - platform-specific
-    winreg = None  # type: ignore
-
-
-class ThemeMixin:
-    """Provides theme handling utilities for the main application."""
-
-    theme: str
-    style: ttk.Style
-    scale_style: str
-
-    def init_theme(self) -> None:
-        """Initialise ttk style handling and apply the detected theme."""
-        self.style = ttk.Style()
-        self.style.theme_use("clam")
-
-        self.theme = "light"
-        self.apply_theme(self.detect_system_theme())
-
-    def apply_theme(self, mode: str) -> None:
-        """Apply light/dark theme including widget palette."""
-        mode = (mode or "light").lower()
-        self.theme = "dark" if mode == "dark" else "light"
-
-        self.scale_style = "Horizontal.TScale"
-
-        if self.theme == "dark":
-            bg, fg = "#0f0f10", "#f1f1f1"
-            status_fg = "#f5f5f5"
-            highlight_fg = "#f2c744"
-        else:
-            bg, fg = "#ffffff", "#202020"
-            status_fg = "#1c1c1c"
-            highlight_fg = "#c56217"
-        self.root.configure(bg=bg)  # type: ignore[attr-defined]
-
-        s = self.style
-        s.configure("TFrame", background=bg)
-        s.configure("TLabel", background=bg, foreground=fg, font=("Segoe UI", 10))
-        s.configure(
-            "TButton", padding=8, relief="flat", background="#e0e0e0", foreground=fg, font=("Segoe UI", 10)
-        )
-        s.map("TButton", background=[("active", "#d0d0d0")])
-
-        button_refresher = getattr(self, "_refresh_toolbar_buttons_theme", None)
-        if callable(button_refresher):
-            button_refresher()
-
-        nav_refresher = getattr(self, "_refresh_navigation_buttons_theme", None)
-        if callable(nav_refresher):
-            nav_refresher()
-
-        status_refresher = getattr(self, "_refresh_status_palette", None)
-        if callable(status_refresher) and hasattr(self, "status"):
-            status_refresher(status_fg)
-
-        accent_refresher = getattr(self, "_refresh_accent_labels", None)
-        if callable(accent_refresher) and hasattr(self, "filename_label"):
-            accent_refresher(highlight_fg)
-
-        canvas_refresher = getattr(self, "_refresh_canvas_backgrounds", None)
-        if callable(canvas_refresher):
-            canvas_refresher()
-
-    def detect_system_theme(self) -> str:
-        """Best-effort detection of the OS theme preference."""
-        try:
-            if platform.system() == "Windows" and winreg is not None:
-                key = winreg.OpenKey(
-                    winreg.HKEY_CURRENT_USER,
-                    r"Software\Microsoft\Windows\CurrentVersion\Themes\Personalize",
-                )
-                value, _ = winreg.QueryValueEx(key, "AppsUseLightTheme")
-                return "light" if int(value) == 1 else "dark"
-        except Exception:
-            pass
-        return "light"
-
-    def bring_to_front(self) -> None:
-        """Try to focus the window and raise it to the foreground."""
-        try:
-            self.root.lift()
-            self.root.focus_force()
-            self.root.attributes("-topmost", True)
-            self.root.update()
-            self.root.attributes("-topmost", False)
-        except Exception:
-            pass
-
-    def toggle_theme(self) -> None:
-        """Toggle between light and dark themes."""
-        next_mode = "dark" if self.theme == "light" else "light"
-        self.apply_theme(next_mode)
-        self.update_preview()  # type: ignore[attr-defined]
-
-
-__all__ = ["ThemeMixin"]

app/gui/ui.py

@@ -1,604 +0,0 @@
-"""UI helpers and reusable Tk callbacks."""
-
-from __future__ import annotations
-
-import colorsys
-import tkinter as tk
-import tkinter.font as tkfont
-from tkinter import ttk
-
-
-class UIBuilderMixin:
-    """Constructs the Tkinter UI and common widgets."""
-
-    def setup_ui(self) -> None:
-        self._create_titlebar()
-
-        toolbar = ttk.Frame(self.root)
-        toolbar.pack(fill=tk.X, padx=12, pady=(4, 2))
-        buttons = [
-            ("📂", self._t("toolbar.open_image"), self.load_image),
-            ("📁", self._t("toolbar.open_folder"), self.load_folder),
-            ("🎨", self._t("toolbar.choose_color"), self.choose_color),
-            ("🖱", self._t("toolbar.pick_from_image"), self.enable_pick_mode),
-            ("💾", self._t("toolbar.save_overlay"), self.save_overlay),
-            ("△", self._t("toolbar.toggle_free_draw"), self.toggle_exclusion_mode),
-            ("🧹", self._t("toolbar.clear_excludes"), self.clear_excludes),
-            ("↩", self._t("toolbar.undo_exclude"), self.undo_exclude),
-            ("🔄", self._t("toolbar.reset_sliders"), self.reset_sliders),
-            ("🌓", self._t("toolbar.toggle_theme"), self.toggle_theme),
-        ]
-        self._toolbar_buttons: list[dict[str, object]] = []
-        self._nav_buttons: list[tk.Button] = []
-
-        buttons_frame = ttk.Frame(toolbar)
-        buttons_frame.pack(side=tk.LEFT)
-        for icon, label, command in buttons:
-            self._add_toolbar_button(buttons_frame, icon, label, command)
-
-        status_container = ttk.Frame(toolbar)
-        status_container.pack(side=tk.RIGHT, expand=True, fill=tk.X)
-        self.status = ttk.Label(
-            status_container,
-            text=self._t("status.no_file"),
-            anchor="e",
-            foreground="#efefef",
-        )
-        self.status.pack(fill=tk.X)
-        self._attach_copy_menu(self.status)
-        self.status_default_text = self.status.cget("text")
-        self._status_palette = {"fg": self.status.cget("foreground")}
-
-        palette_frame = ttk.Frame(self.root)
-        palette_frame.pack(fill=tk.X, padx=12, pady=(6, 8))
-        default_colour = self._default_colour_hex()
-
-        current_frame = ttk.Frame(palette_frame)
-        current_frame.pack(side=tk.LEFT, padx=(0, 16))
-        ttk.Label(current_frame, text=self._t("palette.current")).pack(side=tk.LEFT, padx=(0, 6))
-        self.current_colour_sw = tk.Canvas(
-            current_frame,
-            width=24,
-            height=24,
-            highlightthickness=0,
-            background=default_colour,
-            bd=0,
-        )
-        self.current_colour_sw.pack(side=tk.LEFT, pady=2)
-        self.current_colour_label = ttk.Label(current_frame, text=f"({default_colour})")
-        self.current_colour_label.pack(side=tk.LEFT, padx=(6, 0))
-
-        ttk.Label(palette_frame, text=self._t("palette.more")).pack(side=tk.LEFT, padx=(0, 8))
-        swatch_container = ttk.Frame(palette_frame)
-        swatch_container.pack(side=tk.LEFT)
-        for name, hex_code in self._preset_colours():
-            self._add_palette_swatch(swatch_container, name, hex_code)
-
-        sliders_frame = ttk.Frame(self.root)
-        sliders_frame.pack(fill=tk.X, padx=12, pady=4)
-        sliders = [
-            (self._t("sliders.hue_min"), self.hue_min, 0, 360),
-            (self._t("sliders.hue_max"), self.hue_max, 0, 360),
-            (self._t("sliders.sat_min"), self.sat_min, 0, 100),
-            (self._t("sliders.val_min"), self.val_min, 0, 100),
-            (self._t("sliders.val_max"), self.val_max, 0, 100),
-            (self._t("sliders.alpha"), self.alpha, 0, 255),
-        ]
-        for index, (label, variable, minimum, maximum) in enumerate(sliders):
-            self.add_slider_with_value(sliders_frame, label, variable, minimum, maximum, column=index)
-            sliders_frame.grid_columnconfigure(index, weight=1)
-
-        main = ttk.Frame(self.root)
-        main.pack(fill=tk.BOTH, expand=True, padx=12, pady=12)
-
-        left_column = ttk.Frame(main)
-        left_column.pack(side=tk.LEFT, fill=tk.BOTH, expand=True, padx=(0, 6))
-        left_column.grid_columnconfigure(1, weight=1)
-        left_column.grid_rowconfigure(0, weight=1)
-
-        self._create_navigation_button(left_column, "◀", self.show_previous_image, column=0)
-
-        self.canvas_orig = tk.Canvas(
-            left_column,
-            bg=self._canvas_background_colour(),
-            highlightthickness=0,
-            relief="flat",
-        )
-        self.canvas_orig.grid(row=0, column=1, sticky="nsew")
-        self.canvas_orig.bind("<Button-1>", self.on_canvas_click)
-        self.canvas_orig.bind("<ButtonPress-3>", self._exclude_start)
-        self.canvas_orig.bind("<B3-Motion>", self._exclude_drag)
-        self.canvas_orig.bind("<ButtonRelease-3>", self._exclude_end)
-
-        right_column = ttk.Frame(main)
-        right_column.pack(side=tk.RIGHT, fill=tk.BOTH, expand=True, padx=(6, 0))
-        right_column.grid_columnconfigure(0, weight=1)
-        right_column.grid_rowconfigure(0, weight=1)
-
-        self.canvas_overlay = tk.Canvas(
-            right_column,
-            bg=self._canvas_background_colour(),
-            highlightthickness=0,
-            relief="flat",
-        )
-        self.canvas_overlay.grid(row=0, column=0, sticky="nsew")
-        self._create_navigation_button(right_column, "▶", self.show_next_image, column=1)
-
-
-        info_frame = ttk.Frame(self.root)
-        info_frame.pack(fill=tk.X, padx=12, pady=(0, 12))
-        self.filename_label = ttk.Label(
-            info_frame,
-            text="—",
-            font=("Segoe UI", 10, "bold"),
-            anchor="center",
-            justify="center",
-        )
-        self.filename_label.pack(anchor="center")
-        self._attach_copy_menu(self.filename_label)
-
-        self.ratio_label = ttk.Label(
-            info_frame,
-            text=self._t("stats.placeholder"),
-            font=("Segoe UI", 10, "bold"),
-            anchor="center",
-            justify="center",
-        )
-        self.ratio_label.pack(anchor="center", pady=(4, 0))
-        self._attach_copy_menu(self.ratio_label)
-
-        self.root.bind("<Escape>", self.disable_pick_mode)
-        self.root.bind("<ButtonPress-1>", self._maybe_focus_window)
-
-    def add_slider_with_value(self, parent, text, var, minimum, maximum, column=0):
-        cell = ttk.Frame(parent)
-        cell.grid(row=0, column=column, sticky="we", padx=6)
-        header = ttk.Frame(cell)
-        header.pack(fill="x")
-        name_lbl = ttk.Label(header, text=text)
-        name_lbl.pack(side="left")
-        self._attach_copy_menu(name_lbl)
-        val_lbl = ttk.Label(header, text=f"{float(var.get()):.0f}")
-        val_lbl.pack(side="right")
-        self._attach_copy_menu(val_lbl)
-        style_name = getattr(self, "scale_style", "Horizontal.TScale")
-        ttk.Scale(
-            cell,
-            from_=minimum,
-            to=maximum,
-            orient="horizontal",
-            variable=var,
-            style=style_name,
-            command=self.on_slider_change,
-        ).pack(fill="x", pady=(2, 8))
-
-        def on_var_change(*_):
-            val_lbl.config(text=f"{float(var.get()):.0f}")
-
-        try:
-            var.trace_add("write", on_var_change)
-        except Exception:
-            var.trace("w", lambda *_: on_var_change())  # type: ignore[attr-defined]
-
-    def on_slider_change(self, *_):
-        if self._update_job is not None:
-            try:
-                self.root.after_cancel(self._update_job)
-            except Exception:
-                pass
-        self._update_job = self.root.after(self.update_delay_ms, self.update_preview)
-
-    def _preset_colours(self):
-        return [
-            (self._t("palette.swatch.red"), "#ff3b30"),
-            (self._t("palette.swatch.orange"), "#ff9500"),
-            (self._t("palette.swatch.yellow"), "#ffd60a"),
-            (self._t("palette.swatch.green"), "#34c759"),
-            (self._t("palette.swatch.teal"), "#5ac8fa"),
-            (self._t("palette.swatch.blue"), "#0a84ff"),
-            (self._t("palette.swatch.violet"), "#af52de"),
-            (self._t("palette.swatch.magenta"), "#ff2d55"),
-            (self._t("palette.swatch.white"), "#ffffff"),
-            (self._t("palette.swatch.grey"), "#8e8e93"),
-            (self._t("palette.swatch.black"), "#000000"),
-        ]
-
-    def _add_palette_swatch(self, parent, name: str, hex_code: str) -> None:
-        swatch = tk.Canvas(
-            parent,
-            width=24,
-            height=24,
-            highlightthickness=0,
-            background=hex_code,
-            bd=0,
-            relief="flat",
-            takefocus=1,
-            cursor="hand2",
-        )
-        swatch.pack(side=tk.LEFT, padx=4, pady=2)
-
-        def trigger(_event=None, colour=hex_code, label=name):
-            self.apply_sample_colour(colour, label)
-
-        swatch.bind("<Button-1>", trigger)
-        swatch.bind("<space>", trigger)
-        swatch.bind("<Return>", trigger)
-        swatch.bind("<Enter>", lambda _e: swatch.configure(cursor="hand2"))
-        swatch.bind("<Leave>", lambda _e: swatch.configure(cursor="arrow"))
-
-    def _add_toolbar_button(self, parent, icon: str, label: str, command) -> None:
-        font = tkfont.Font(root=self.root, family="Segoe UI", size=9)
-        padding_x = 12
-        gap = font.measure("  ")
-        icon_width = font.measure(icon) or font.measure("  ")
-        label_width = font.measure(label)
-        width = padding_x * 2 + icon_width + gap + label_width
-        height = 28
-        radius = 9
-        bg = self.root.cget("bg") if hasattr(self.root, "cget") else "#f2f2f7"
-        canvas = tk.Canvas(
-            parent,
-            width=width,
-            height=height,
-            bd=0,
-            highlightthickness=0,
-            bg=bg,
-            relief="flat",
-            cursor="hand2",
-            takefocus=1,
-        )
-        canvas.pack(side=tk.LEFT, padx=4, pady=1)
-
-        palette = self._toolbar_palette()
-        rect_id = self._create_round_rect(
-            canvas,
-            1,
-            1,
-            width - 1,
-            height - 1,
-            radius,
-            fill=palette["normal"],
-            outline=palette["outline"],
-            width=1,
-        )
-        icon_id = canvas.create_text(
-            padding_x,
-            height / 2,
-            text=icon,
-            font=font,
-            fill=palette["text"],
-            anchor="w",
-        )
-        label_id = canvas.create_text(
-            padding_x + icon_width + gap,
-            height / 2,
-            text=label,
-            font=font,
-            fill=palette["text"],
-            anchor="w",
-        )
-
-        button_data = {
-            "canvas": canvas,
-            "rect": rect_id,
-            "text_ids": (icon_id, label_id),
-            "command": command,
-            "palette": palette.copy(),
-            "dimensions": (width, height, radius),
-        }
-        self._toolbar_buttons.append(button_data)
-
-        def set_fill(state: str) -> None:
-            pal: dict[str, str] = button_data["palette"]  # type: ignore[index]
-            canvas.itemconfigure(rect_id, fill=pal[state])  # type: ignore[index]
-
-        def execute():
-            command()
-
-        def on_press(_event=None):
-            set_fill("active")
-
-        def on_release(event=None):
-            if event is not None and (
-                event.x < 0 or event.y < 0 or event.x > width or event.y > height
-            ):
-                set_fill("normal")
-                return
-            set_fill("hover")
-            self.root.after_idle(execute)
-
-        def on_enter(_event):
-            set_fill("hover")
-
-        def on_leave(_event):
-            set_fill("normal")
-
-        def on_focus_in(_event):
-            pal: dict[str, str] = button_data["palette"]  # type: ignore[index]
-            canvas.itemconfigure(rect_id, outline=pal["outline_focus"])  # type: ignore[index]
-
-        def on_focus_out(_event):
-            pal: dict[str, str] = button_data["palette"]  # type: ignore[index]
-            canvas.itemconfigure(rect_id, outline=pal["outline"])  # type: ignore[index]
-
-        def invoke_keyboard(_event=None):
-            set_fill("active")
-            canvas.after(120, lambda: set_fill("hover"))
-            self.root.after_idle(execute)
-
-        canvas.bind("<ButtonPress-1>", on_press)
-        canvas.bind("<ButtonRelease-1>", on_release)
-        canvas.bind("<Enter>", on_enter)
-        canvas.bind("<Leave>", on_leave)
-        canvas.bind("<FocusIn>", on_focus_in)
-        canvas.bind("<FocusOut>", on_focus_out)
-        canvas.bind("<space>", invoke_keyboard)
-        canvas.bind("<Return>", invoke_keyboard)
-
-    @staticmethod
-    def _create_round_rect(canvas: tk.Canvas, x1, y1, x2, y2, radius, **kwargs):
-        points = [
-            x1 + radius,
-            y1,
-            x2 - radius,
-            y1,
-            x2,
-            y1,
-            x2,
-            y1 + radius,
-            x2,
-            y2 - radius,
-            x2,
-            y2,
-            x2 - radius,
-            y2,
-            x1 + radius,
-            y2,
-            x1,
-            y2,
-            x1,
-            y2 - radius,
-            x1,
-            y1 + radius,
-            x1,
-            y1,
-        ]
-        return canvas.create_polygon(points, smooth=True, splinesteps=24, **kwargs)
-
-    def _create_navigation_button(self, container, symbol: str, command, *, column: int) -> None:
-        palette = self._navigation_palette()
-        bg = palette["bg"]
-        fg = palette["fg"]
-        container.grid_rowconfigure(0, weight=1)
-        btn = tk.Button(
-            container,
-            text=symbol,
-            command=command,
-            font=("Segoe UI", 26, "bold"),
-            relief="flat",
-            borderwidth=0,
-            background=bg,
-            activebackground=bg,
-            highlightthickness=0,
-            fg=fg,
-            activeforeground=fg,
-            cursor="hand2",
-            width=2,
-        )
-        btn.grid(row=0, column=column, sticky="ns", padx=6)
-        self._nav_buttons.append(btn)
-
-    def _create_titlebar(self) -> None:
-        bar_bg = "#1f1f1f"
-        title_bar = tk.Frame(self.root, bg=bar_bg, relief="flat", height=34)
-        title_bar.pack(fill=tk.X, side=tk.TOP)
-        title_bar.pack_propagate(False)
-
-        logo = None
-        try:
-            from PIL import Image, ImageTk  # type: ignore
-            from importlib import resources
-
-            logo_resource = resources.files("app.assets").joinpath("logo.png")
-            with resources.as_file(logo_resource) as logo_path:
-                image = Image.open(logo_path).convert("RGBA")
-                image.thumbnail((26, 26))
-                logo = ImageTk.PhotoImage(image)
-        except Exception:
-            logo = None
-
-        if logo is not None:
-            logo_label = tk.Label(title_bar, image=logo, bg=bar_bg)
-            logo_label.image = logo  # keep reference
-            logo_label.pack(side=tk.LEFT, padx=(10, 6), pady=4)
-
-        title_label = tk.Label(
-            title_bar,
-            text=self._t("app.title"),
-            bg=bar_bg,
-            fg="#f5f5f5",
-            font=("Segoe UI", 11, "bold"),
-            anchor="w",
-        )
-        title_label.pack(side=tk.LEFT, padx=6)
-
-        close_btn = tk.Button(
-            title_bar,
-            text="✕",
-            command=self._close_app,
-            bg=bar_bg,
-            fg="#f5f5f5",
-            activebackground="#ff3b30",
-            activeforeground="#ffffff",
-            borderwidth=0,
-            highlightthickness=0,
-            relief="flat",
-            font=("Segoe UI", 10, "bold"),
-            cursor="hand2",
-            width=3,
-        )
-        close_btn.pack(side=tk.RIGHT, padx=8, pady=4)
-        close_btn.bind("<Enter>", lambda _e: close_btn.configure(bg="#cf212f"))
-        close_btn.bind("<Leave>", lambda _e: close_btn.configure(bg=bar_bg))
-
-        for widget in (title_bar, title_label):
-            widget.bind("<ButtonPress-1>", self._start_window_drag)
-            widget.bind("<B1-Motion>", self._perform_window_drag)
-
-    def _close_app(self) -> None:
-        try:
-            self.root.destroy()
-        except Exception:
-            pass
-
-    def _start_window_drag(self, event) -> None:
-        self._drag_offset = (event.x_root - self.root.winfo_rootx(), event.y_root - self.root.winfo_rooty())
-
-    def _perform_window_drag(self, event) -> None:
-        offset = getattr(self, "_drag_offset", None)
-        if offset is None:
-            return
-        x = event.x_root - offset[0]
-        y = event.y_root - offset[1]
-        self.root.geometry(f"+{x}+{y}")
-
-    def _maybe_focus_window(self, _event) -> None:
-        try:
-            self.root.focus_set()
-        except Exception:
-            pass
-
-    def _toolbar_palette(self) -> dict[str, str]:
-        is_dark = getattr(self, "theme", "light") == "dark"
-        if is_dark:
-            return {
-                "normal": "#2f2f35",
-                "hover": "#3a3a40",
-                "active": "#1f1f25",
-                "outline": "#4d4d50",
-                "outline_focus": "#7c7c88",
-                "text": "#f1f1f5",
-            }
-        return {
-            "normal": "#ffffff",
-            "hover": "#ededf4",
-            "active": "#dcdce6",
-            "outline": "#d0d0d8",
-            "outline_focus": "#a9a9b2",
-            "text": "#1f1f1f",
-        }
-
-    def _navigation_palette(self) -> dict[str, str]:
-        is_dark = getattr(self, "theme", "light") == "dark"
-        default_bg = "#0f0f10" if is_dark else "#ededf2"
-        bg = self.root.cget("bg") if hasattr(self.root, "cget") else default_bg
-        fg = "#f5f5f5" if is_dark else "#1f1f1f"
-        return {"bg": bg, "fg": fg}
-
-    def _refresh_toolbar_buttons_theme(self) -> None:
-        if not getattr(self, "_toolbar_buttons", None):
-            return
-        bg = self.root.cget("bg") if hasattr(self.root, "cget") else "#f2f2f7"
-        palette = self._toolbar_palette()
-        for data in self._toolbar_buttons:
-            canvas = data["canvas"]  # type: ignore[index]
-            rect_id = data["rect"]  # type: ignore[index]
-            text_ids = data["text_ids"]  # type: ignore[index]
-            data["palette"] = palette.copy()
-            canvas.configure(bg=bg)
-            canvas.itemconfigure(rect_id, fill=palette["normal"], outline=palette["outline"])
-            for text_id in text_ids:
-                canvas.itemconfigure(text_id, fill=palette["text"])
-
-    def _refresh_navigation_buttons_theme(self) -> None:
-        if not getattr(self, "_nav_buttons", None):
-            return
-        palette = self._navigation_palette()
-        for btn in self._nav_buttons:
-            btn.configure(
-                background=palette["bg"],
-                activebackground=palette["bg"],
-                fg=palette["fg"],
-                activeforeground=palette["fg"],
-            )
-
-    def _canvas_background_colour(self) -> str:
-        return "#0f0f10" if getattr(self, "theme", "light") == "dark" else "#ffffff"
-
-    def _refresh_canvas_backgrounds(self) -> None:
-        bg = self._canvas_background_colour()
-        for attr in ("canvas_orig", "canvas_overlay"):
-            canvas = getattr(self, attr, None)
-            if canvas is not None:
-                try:
-                    canvas.configure(bg=bg)
-                except Exception:
-                    pass
-
-    def _refresh_status_palette(self, fg: str) -> None:
-        self.status.configure(foreground=fg)
-        self._status_palette["fg"] = fg
-
-    def _refresh_accent_labels(self, colour: str) -> None:
-        try:
-            self.filename_label.configure(foreground=colour)
-            self.ratio_label.configure(foreground=colour)
-        except Exception:
-            pass
-
-    def _default_colour_hex(self) -> str:
-        defaults = getattr(self, "DEFAULTS", {})
-        hue_min = float(defaults.get("hue_min", 0.0))
-        hue_max = float(defaults.get("hue_max", hue_min))
-        if hue_min <= hue_max:
-            hue = (hue_min + hue_max) / 2.0
-        else:
-            span = ((hue_max + 360.0) - hue_min) / 2.0
-            hue = (hue_min + span) % 360.0
-
-        sat_min = float(defaults.get("sat_min", 0.0))
-        saturation = (sat_min + 100.0) / 2.0
-
-        val_min = float(defaults.get("val_min", 0.0))
-        val_max = float(defaults.get("val_max", 100.0))
-        value = (val_min + val_max) / 2.0
-
-        r, g, b = colorsys.hsv_to_rgb(hue / 360.0, saturation / 100.0, value / 100.0)
-        return f"#{int(r * 255):02x}{int(g * 255):02x}{int(b * 255):02x}"
-
-    def _init_copy_menu(self):
-        self._copy_target = None
-        self.copy_menu = tk.Menu(self.root, tearoff=0)
-        label = self._t("menu.copy") if hasattr(self, "_t") else "Copy"
-        self.copy_menu.add_command(label=label, command=self._copy_current_label)
-
-    def _attach_copy_menu(self, widget):
-        widget.bind("<Button-3>", lambda event, w=widget: self._show_copy_menu(event, w))
-        widget.bind("<Control-c>", lambda event, w=widget: self._copy_widget_text(w))
-
-    def _show_copy_menu(self, event, widget):
-        self._copy_target = widget
-        try:
-            self.copy_menu.tk_popup(event.x_root, event.y_root)
-        finally:
-            self.copy_menu.grab_release()
-
-    def _copy_current_label(self):
-        if self._copy_target is not None:
-            self._copy_widget_text(self._copy_target)
-
-    def _copy_widget_text(self, widget):
-        try:
-            text = widget.cget("text")
-        except Exception:
-            text = ""
-        if not text:
-            return
-        try:
-            self.root.clipboard_clear()
-            self.root.clipboard_append(text)
-        except Exception:
-            pass
-
-
-__all__ = ["UIBuilderMixin"]

app/i18n.py

@@ -40,13 +40,14 @@ def _load_translations(lang: str) -> Dict[str, str]:
             data = tomllib.load(handle)
     except (OSError, AttributeError, ValueError, TypeError):  # type: ignore[arg-type]
         return {}
-    translations = data.get("translations")
+    
-    if not isinstance(translations, dict):
+    # Merge all dictionaries found in the TOML (e.g. [translations] and [tooltip])
-        return {}
     out: Dict[str, str] = {}
-    for key, value in translations.items():
+    for section_name, section_data in data.items():
-        if isinstance(key, str) and isinstance(value, str):
+        if isinstance(section_data, dict):
-            out[key] = value
+            for key, value in section_data.items():
+                if isinstance(key, str) and isinstance(value, str):
+                    out[key] = value
     return out
 
 

app/lang/de.toml

@@ -3,13 +3,16 @@
 "toolbar.open_image" = "Bild laden"
 "toolbar.open_folder" = "Ordner laden"
 "toolbar.choose_color" = "Farbe wählen"
-"toolbar.pick_from_image" = "Farbe aus Bild klicken"
+"toolbar.pick_from_image" = "Farbe aus Bild auswählen"
-"toolbar.save_overlay" = "Overlay speichern"
+"toolbar.save_overlay" = "Bild speichern"
 "toolbar.clear_excludes" = "Ausschlüsse löschen"
 "toolbar.toggle_free_draw" = "Freihandmodus umschalten"
 "toolbar.undo_exclude" = "Letzten Ausschluss entfernen"
 "toolbar.reset_sliders" = "Slider zurücksetzen"
 "toolbar.toggle_theme" = "Theme umschalten"
+"toolbar.open_app_folder" = "Programmordner öffnen"
+"toolbar.prefer_dark" = "Dunkelheit bevorzugen"
+"toolbar.exclude_bg" = "Hintergrund ausblenden ({color})"
 "status.no_file" = "Keine Datei geladen."
 "status.defaults_restored" = "Standardwerte aktiv."
 "status.free_draw_enabled" = "Freihand-Ausschluss aktiviert."
@@ -17,11 +20,12 @@
 "status.loaded" = "Geladen: {name} — {dimensions}{position}"
 "status.filename_label" = "{name} — {dimensions}{position}"
 "status.color_selected" = "Farbe gewählt: {label} — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
-"status.sample_colour" = "Beispielfarbe gewählt: {label} ({hex_code}) — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
+"status.sample_color" = "Beispielfarbe gewählt: {label} ({hex_code}) — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
 "status.pick_mode_ready" = "Pick-Modus: Klicke links ins Bild, um Farbe zu wählen (Esc beendet)"
 "status.pick_mode_ended" = "Pick-Modus beendet."
 "status.pick_mode_from_image" = "Farbe vom Bild gewählt: Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
 "palette.current" = "Farbe:"
+"palette.overlay_color" = "Overlay:"
 "palette.more" = "Weitere Farben:"
 "palette.swatch.red" = "Rot"
 "palette.swatch.orange" = "Orange"
@@ -37,19 +41,25 @@
 "sliders.hue_min" = "Hue Min (°)"
 "sliders.hue_max" = "Hue Max (°)"
 "sliders.sat_min" = "Sättigung Min (%)"
+"sliders.sat_max" = "Sättigung Max (%)"
 "sliders.val_min" = "Helligkeit Min (%)"
 "sliders.val_max" = "Helligkeit Max (%)"
 "sliders.alpha" = "Overlay Alpha"
 "stats.placeholder" = "Markierungen (mit Ausschlüssen): —"
-"stats.summary" = "Markierungen (mit Ausschlüssen): {with_pct:.2f}%    |    Markierungen (ohne Ausschlüsse): {without_pct:.2f}%    |    Ausgeschlossen: {excluded_pct:.2f}% der Pixel, davon {excluded_match_pct:.2f}% markiert"
+"stats.summary" = "Gesamtwertung: {score:.2f}%    |    Treffer (m. Ausschl.): {with_pct:.2f}%    |    Treffer: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Gruppierung: {grouping:.1f}%    |    Kontinuität: {continuity:.1f}%    |    Rand: {border:.1f}%"
+"stats.brightness_label" = "Helligkeit"
+"stats.darkness_label" = "Dunkelheit"
+"stats.grouping_label" = "Gruppierung"
+"stats.continuity_label" = "Kontinuität"
+"stats.border_label" = "Rand"
 "menu.copy" = "Kopieren"
 "dialog.info_title" = "Info"
 "dialog.error_title" = "Fehler"
 "dialog.saved_title" = "Gespeichert"
 "dialog.open_image_title" = "Bild wählen"
 "dialog.open_folder_title" = "Ordner mit Bildern wählen"
-"dialog.save_overlay_title" = "Overlay speichern als"
+"dialog.save_overlay_title" = "Bild speichern als"
-"dialog.choose_colour_title" = "Farbe wählen"
+"dialog.choose_color_title" = "Farbe wählen"
 "dialog.images_filter" = "Bilder"
 "dialog.folder_not_found" = "Der Ordner wurde nicht gefunden."
 "dialog.folder_empty" = "Keine unterstützten Bilder im Ordner gefunden."
@@ -59,3 +69,60 @@
 "dialog.no_image_loaded" = "Kein Bild geladen."
 "dialog.no_preview_available" = "Keine Preview vorhanden."
 "dialog.overlay_saved" = "Overlay gespeichert: {path}"
+"dialog.json_filter" = "JSON-Dateien (*.json)"
+"dialog.export_settings_title" = "Einstellungen als JSON exportieren"
+"dialog.import_settings_title" = "Einstellungen aus JSON importieren"
+"status.settings_exported" = "Einstellungen exportiert: {path}"
+"status.settings_imported" = "Einstellungen importiert."
+"toolbar.export_settings" = "Einstellungen exportieren (JSON)"
+"toolbar.import_settings" = "Einstellungen importieren (JSON)"
+"dialog.export_stats_title" = "Ordner-Statistiken exportieren (CSV)"
+"dialog.csv_filter" = "CSV-Dateien (*.csv)"
+"status.drag_drop" = "Bild oder Ordner hier ablegen."
+"status.exporting" = "Statistiken werden exportiert... ({current}/{total})"
+"status.export_done" = "Export abgeschlossen: {path}"
+"toolbar.export_folder" = "Ordner-Statistik"
+"menu.file" = "Datei"
+"menu.edit" = "Bearbeiten"
+"menu.exclusions" = "Ausschlüsse"
+"menu.view" = "Ansicht"
+"menu.view_log" = "Protokoll anzeigen"
+"menu.tools" = "Werkzeuge"
+
+"toolbar.pull_patterns" = "Muster-Bilder laden"
+"dialog.puller_title" = "Muster-Bilder laden"
+"dialog.puller_instruction" = "CSGOSkins.gg Item-URL einfügen:"
+"dialog.puller_start" = "Download starten"
+"dialog.puller_cancel" = "Abbrechen"
+"dialog.puller_invalid_url" = "Ungültiges URL-Format."
+"dialog.puller_success" = "Alle Muster erfolgreich heruntergeladen!"
+
+"dialog.weighting_title" = "Export-Gewichtung & Präferenz"
+"dialog.weighting_instruction" = "Gewichtung der Komponenten festlegen (Summe muss 100% sein):"
+"dialog.weight_match_all" = "Treffer (Alle) %"
+"dialog.weight_match_keep" = "Treffer (Behalten) %"
+"dialog.weight_brightness" = "Helligkeit/Dunkelheit %"
+"dialog.weight_grouping" = "Gruppierung %"
+"dialog.weight_continuity" = "Kontinuität %"
+"dialog.weight_border" = "Rand Sauberkeit %"
+"dialog.total_weight" = "Gesamt:"
+"dialog.weight_error" = "Gewichtungen müssen exakt 100% ergeben (aktuell {total}%)."
+
+[tooltip]
+"tooltip.open_image" = "Öffnet ein einzelnes Bild zur Analyse"
+"tooltip.open_folder" = "Öffnet einen Ordner mit Bildern für die Stapelverarbeitung"
+"tooltip.export_folder" = "Exportiert die Ergebnisse für den aktuellen Ordner als CSV"
+"tooltip.export_settings" = "Speichert die aktuellen Schieberegler- und Farbeinstellungen in einer JSON-Datei"
+"tooltip.import_settings" = "Lädt gespeicherte Einstellungen aus einer JSON-Datei"
+"tooltip.save_overlay" = "Speichert das aktuell sichtbare zusammengesetzte Overlay-Bild"
+"tooltip.open_app_folder" = "Öffnet das Installationsverzeichnis der Anwendung"
+"tooltip.reset_sliders" = "Setzt alle Schieberegler auf ihre Standardwerte zurück"
+"tooltip.pick_from_image" = "Klicken Sie auf das Bild, um eine Zielfarbe auszuwählen"
+"tooltip.prefer_dark" = "Priorisiert dunklere Farben gegenüber helleren bei der Gesamtbewertung"
+"tooltip.undo_exclude" = "Macht die zuletzt gezeichnete Ausschlussform rückgängig"
+"tooltip.clear_excludes" = "Entfernt alle Ausschlussformen aus dem Bild"
+"tooltip.toggle_free_draw" = "Wechselt zwischen dem Zeichnen von Rechtecken und Freiform-Polygonen"
+"tooltip.exclude_bg" = "Ignoriert basierend auf den Einstellungen automatisch Hintergrundfarben"
+"tooltip.pull_patterns" = "Lädt Musterbilder von einer Remote-Quelle herunter"
+"tooltip.toggle_theme" = "Wechselt zwischen hellem und dunklem UI-Design"
+"tooltip.view_log" = "Zeigt aktuelle Anwendungsstatusmeldungen und Protokolle an"

app/lang/en.toml

@@ -2,27 +2,31 @@
 "app.title" = "Interactive Color Range Analyzer"
 "toolbar.open_image" = "Open image"
 "toolbar.open_folder" = "Open folder"
-"toolbar.choose_color" = "Choose colour"
+"toolbar.choose_color" = "Choose color"
-"toolbar.pick_from_image" = "Pick from image"
+"toolbar.pick_from_image" = "Select color from image"
-"toolbar.save_overlay" = "Save overlay"
+"toolbar.save_overlay" = "Save Image"
 "toolbar.clear_excludes" = "Clear exclusions"
 "toolbar.toggle_free_draw" = "Toggle free-draw"
 "toolbar.undo_exclude" = "Undo last exclusion"
 "toolbar.reset_sliders" = "Reset sliders"
 "toolbar.toggle_theme" = "Toggle theme"
+"toolbar.open_app_folder" = "Open application folder"
+"toolbar.prefer_dark" = "Prefer darkness"
+"toolbar.exclude_bg" = "Exclude Background ({color})"
 "status.no_file" = "No file loaded."
 "status.defaults_restored" = "Defaults restored."
 "status.free_draw_enabled" = "Free-draw exclusion mode enabled."
 "status.free_draw_disabled" = "Rectangle exclusion mode enabled."
 "status.loaded" = "Loaded: {name} — {dimensions}{position}"
 "status.filename_label" = "{name} — {dimensions}{position}"
-"status.color_selected" = "Colour chosen: {label} — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
+"status.color_selected" = "Color chosen: {label} — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
-"status.sample_colour" = "Sample colour applied: {label} ({hex_code}) — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
+"status.sample_color" = "Sample color applied: {label} ({hex_code}) — Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
-"status.pick_mode_ready" = "Pick mode: Click the left image to choose a colour (Esc exits)"
+"status.pick_mode_ready" = "Pick mode: Click the left image to choose a color (Esc exits)"
 "status.pick_mode_ended" = "Pick mode ended."
-"status.pick_mode_from_image" = "Colour picked from image: Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
+"status.pick_mode_from_image" = "Color picked from image: Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
-"palette.current" = "Colour:"
+"palette.current" = "Color:"
-"palette.more" = "More colours:"
+"palette.overlay_color" = "Overlay:"
+"palette.more" = "More colors:"
 "palette.swatch.red" = "Red"
 "palette.swatch.orange" = "Orange"
 "palette.swatch.yellow" = "Yellow"
@@ -37,19 +41,25 @@
 "sliders.hue_min" = "Hue min (°)"
 "sliders.hue_max" = "Hue max (°)"
 "sliders.sat_min" = "Saturation min (%)"
+"sliders.sat_max" = "Saturation max (%)"
 "sliders.val_min" = "Value min (%)"
 "sliders.val_max" = "Value max (%)"
 "sliders.alpha" = "Overlay alpha"
 "stats.placeholder" = "Matches (with exclusions): —"
-"stats.summary" = "Matches (with exclusions): {with_pct:.2f}%    |    Matches (without exclusions): {without_pct:.2f}%    |    Excluded: {excluded_pct:.2f}% of pixels, {excluded_match_pct:.2f}% marked"
+"stats.summary" = "Composite Score: {score:.2f}%    |    Matches (w/ excl.): {with_pct:.2f}%    |    Matches: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Grouping: {grouping:.1f}%    |    Continuity: {continuity:.1f}%    |    Border: {border:.1f}%"
+"stats.brightness_label" = "Brightness"
+"stats.darkness_label" = "Darkness"
+"stats.grouping_label" = "Grouping"
+"stats.continuity_label" = "Continuity"
+"stats.border_label" = "Border"
 "menu.copy" = "Copy"
 "dialog.info_title" = "Info"
 "dialog.error_title" = "Error"
 "dialog.saved_title" = "Saved"
 "dialog.open_image_title" = "Select image"
 "dialog.open_folder_title" = "Select folder"
-"dialog.save_overlay_title" = "Save overlay as"
+"dialog.save_overlay_title" = "Save Image as"
-"dialog.choose_colour_title" = "Choose colour"
+"dialog.choose_color_title" = "Choose color"
 "dialog.images_filter" = "Images"
 "dialog.folder_not_found" = "The folder could not be found."
 "dialog.folder_empty" = "No supported images were found in the folder."
@@ -59,3 +69,60 @@
 "dialog.no_image_loaded" = "No image loaded."
 "dialog.no_preview_available" = "No preview available."
 "dialog.overlay_saved" = "Overlay saved: {path}"
+"dialog.json_filter" = "JSON Files (*.json)"
+"dialog.export_settings_title" = "Export settings to JSON"
+"dialog.import_settings_title" = "Import settings from JSON"
+"status.settings_exported" = "Settings exported: {path}"
+"status.settings_imported" = "Settings imported."
+"toolbar.export_settings" = "Export settings (JSON)"
+"toolbar.import_settings" = "Import settings (JSON)"
+"dialog.export_stats_title" = "Export Folder Statistics (CSV)"
+"dialog.csv_filter" = "CSV Files (*.csv)"
+"status.drag_drop" = "Drop an image or folder here to open it."
+"status.exporting" = "Exporting statistics... ({current}/{total})"
+"status.export_done" = "Export complete: {path}"
+"toolbar.export_folder" = "Export Folder Stats"
+"menu.file" = "File"
+"menu.edit" = "Edit"
+"menu.exclusions" = "Exclusions"
+"menu.view" = "View"
+"menu.view_log" = "View Log"
+"menu.tools" = "Tools"
+
+"toolbar.pull_patterns" = "Pull Pattern Images"
+"dialog.puller_title" = "Pull Pattern Images"
+"dialog.puller_instruction" = "Paste a CSGOSkins.gg item URL:"
+"dialog.puller_start" = "Start Download"
+"dialog.puller_cancel" = "Cancel"
+"dialog.puller_invalid_url" = "Invalid URL format."
+"dialog.puller_success" = "All patterns downloaded successfully!"
+
+"dialog.weighting_title" = "Export Weighting & Preference"
+"dialog.weighting_instruction" = "Set the weighting for each component (total must be 100%):"
+"dialog.weight_match_all" = "Match (All) %"
+"dialog.weight_match_keep" = "Match (Keep) %"
+"dialog.weight_brightness" = "Brightness/Darkness %"
+"dialog.weight_grouping" = "Grouping %"
+"dialog.weight_continuity" = "Continuity %"
+"dialog.weight_border" = "Border Cleanliness %"
+"dialog.total_weight" = "Total:"
+"dialog.weight_error" = "Weights must sum exactly to 100% (currently {total}%)."
+
+[tooltip]
+"tooltip.open_image" = "Open a single image for analysis"
+"tooltip.open_folder" = "Open a folder of images to process in batch"
+"tooltip.export_folder" = "Export CSV results for the current folder"
+"tooltip.export_settings" = "Save current slider and color settings to a JSON file"
+"tooltip.import_settings" = "Load saved settings from a JSON file"
+"tooltip.save_overlay" = "Save the currently visible composite overlay image"
+"tooltip.open_app_folder" = "Open the application installation directory"
+"tooltip.reset_sliders" = "Reset all sliders to their default values"
+"tooltip.pick_from_image" = "Click on the image to select a target color"
+"tooltip.prefer_dark" = "Prioritize darker colors over brighter ones in the composite score"
+"tooltip.undo_exclude" = "Undo the last exclusion shape drawn"
+"tooltip.clear_excludes" = "Remove all exclusion shapes from the image"
+"tooltip.toggle_free_draw" = "Toggle between drawing rectangles and free-form polygons"
+"tooltip.exclude_bg" = "Automatically ignore background colors based on settings"
+"tooltip.pull_patterns" = "Download pattern images from a remote source"
+"tooltip.toggle_theme" = "Switch between light and dark UI themes"
+"tooltip.view_log" = "View recent application status messages and logs"

app/launcher.py

@@ -1,49 +1,12 @@
-"""Launcher ensuring Tcl/Tk resources are available before starting ICRA."""
+"""Launcher for the PySide6 ICRA application."""
 
 from __future__ import annotations
 
-import os
+from .qt import run
-import shutil
-import subprocess
-import sys
-from pathlib import Path
-
-
-def _copy_tcl_runtime(venv_root: Path) -> tuple[Path, Path] | None:
-    """Copy Tcl/Tk directories from the base interpreter into the venv if needed."""
-
-    base_prefix = Path(getattr(sys, "base_prefix", sys.prefix))
-    base_tcl_dir = base_prefix / "tcl"
-    if not base_tcl_dir.exists():
-        return None
-
-    tcl_src = base_tcl_dir / "tcl8.6"
-    tk_src = base_tcl_dir / "tk8.6"
-    if not tcl_src.exists() or not tk_src.exists():
-        return None
-
-    target_root = venv_root / "tcl"
-    tcl_dest = target_root / "tcl8.6"
-    tk_dest = target_root / "tk8.6"
-
-    if not tcl_dest.exists():
-        shutil.copytree(tcl_src, tcl_dest, dirs_exist_ok=True)
-    if not tk_dest.exists():
-        shutil.copytree(tk_src, tk_dest, dirs_exist_ok=True)
-
-    return tcl_dest, tk_dest
 
 
 def main() -> int:
-    venv_root = Path(sys.prefix)
+    return run()
-    tcl_paths = _copy_tcl_runtime(venv_root)
-
-    env = os.environ.copy()
-    if tcl_paths:
-        env.setdefault("TCL_LIBRARY", str(tcl_paths[0]))
-        env.setdefault("TK_LIBRARY", str(tcl_paths[1]))
-
-    return subprocess.call([sys.executable, "main.py"], env=env)
 
 
 if __name__ == "__main__":

app/logic/__init__.py

@@ -1,25 +1,28 @@
-"""Logic utilities and mixins for processing and configuration."""
+"""Logic utilities and configuration constants."""
 
 from .constants import (
     BASE_DIR,
     DEFAULTS,
     IMAGES_DIR,
     LANGUAGE,
+    OVERLAY_COLOR,
+    EXCLUDE_BG_COLOR,
+    EXCLUDE_BG_TOLERANCE,
+    WEIGHTS,
     PREVIEW_MAX_SIZE,
     RESET_EXCLUSIONS_ON_IMAGE_CHANGE,
     SUPPORTED_IMAGE_EXTENSIONS,
 )
-from .image_processing import ImageProcessingMixin
-from .reset import ResetMixin
 
 __all__ = [
     "BASE_DIR",
     "DEFAULTS",
     "IMAGES_DIR",
     "LANGUAGE",
+    "OVERLAY_COLOR",
+    "EXCLUDE_BG_COLOR",
+    "WEIGHTS",
     "PREVIEW_MAX_SIZE",
     "RESET_EXCLUSIONS_ON_IMAGE_CHANGE",
     "SUPPORTED_IMAGE_EXTENSIONS",
-    "ImageProcessingMixin",
-    "ResetMixin",
 ]

app/logic/constants.py

@@ -94,7 +94,21 @@ def _extract_language(data: dict[str, Any]) -> str:
 
 _CONFIG_DATA = _load_config_data()
 
-_OPTION_DEFAULTS = {"reset_exclusions_on_image_change": False}
+_OPTION_DEFAULTS = {
+    "reset_exclusions_on_image_change": False,
+    "overlay_color": "#ff0000",
+    "exclude_bg_color": "#1f2937",
+    "exclude_bg_tolerance": 5,
+}
+
+_WEIGHT_DEFAULTS = {
+    "match_all": 20,
+    "match_keep": 20,
+    "brightness": 10,
+    "grouping": 10,
+    "continuity": 20,
+    "border": 20,
+}
 
 
 def _extract_options(data: dict[str, Any]) -> dict[str, Any]:
@@ -105,12 +119,35 @@ def _extract_options(data: dict[str, Any]) -> dict[str, Any]:
     value = section.get("reset_exclusions_on_image_change")
     if isinstance(value, bool):
         result["reset_exclusions_on_image_change"] = value
+    color = section.get("overlay_color")
+    if isinstance(color, str) and color.startswith("#") and len(color) in (7, 9):
+        result["overlay_color"] = color
+    exclude_bg = section.get("exclude_bg_color")
+    if isinstance(exclude_bg, str) and exclude_bg.startswith("#") and len(exclude_bg) in (7, 9):
+        result["exclude_bg_color"] = exclude_bg
+    tolerance = section.get("exclude_bg_tolerance")
+    if isinstance(tolerance, int):
+        result["exclude_bg_tolerance"] = max(0, min(255, tolerance))
     return result
 
 
-_CONFIG_DATA = _load_config_data()
+def _extract_weights(data: dict[str, Any]) -> dict[str, int]:
+    section = data.get("weights")
+    if not isinstance(section, dict):
+        return {}
+    result: dict[str, int] = {}
+    for key in _WEIGHT_DEFAULTS:
+        value = section.get(key)
+        if isinstance(value, int):
+            result[key] = max(0, min(100, value))
+    return result
+
 
 DEFAULTS = {**_DEFAULTS_BASE, **_extract_default_overrides(_CONFIG_DATA)}
 LANGUAGE = _extract_language(_CONFIG_DATA)
 OPTIONS = {**_OPTION_DEFAULTS, **_extract_options(_CONFIG_DATA)}
 RESET_EXCLUSIONS_ON_IMAGE_CHANGE = OPTIONS["reset_exclusions_on_image_change"]
+OVERLAY_COLOR = OPTIONS["overlay_color"]
+EXCLUDE_BG_COLOR = OPTIONS["exclude_bg_color"]
+EXCLUDE_BG_TOLERANCE = OPTIONS["exclude_bg_tolerance"]
+WEIGHTS = {**_WEIGHT_DEFAULTS, **_extract_weights(_CONFIG_DATA)}

app/logic/image_processing.py

@@ -1,483 +0,0 @@
-"""Image loading, processing, and statistics logic."""
-
-from __future__ import annotations
-
-import colorsys
-from pathlib import Path
-from typing import Iterable, Sequence, Tuple
-
-from tkinter import filedialog, messagebox
-
-from PIL import Image, ImageDraw, ImageTk
-
-from .constants import IMAGES_DIR, PREVIEW_MAX_SIZE, SUPPORTED_IMAGE_EXTENSIONS
-
-
-class ImageProcessingMixin:
-    """Handles all image related operations."""
-
-    image_path: Path | None
-    orig_img: Image.Image | None
-    preview_img: Image.Image | None
-    preview_tk: ImageTk.PhotoImage | None
-    overlay_tk: ImageTk.PhotoImage | None
-
-    image_paths: list[Path]
-    current_image_index: int
-
-    def load_image(self) -> None:
-        default_dir = IMAGES_DIR if IMAGES_DIR.exists() else Path.cwd()
-        path = filedialog.askopenfilename(
-            title=self._t("dialog.open_image_title"),
-            filetypes=[(self._t("dialog.images_filter"), "*.webp *.png *.jpg *.jpeg *.bmp")],
-            initialdir=str(default_dir),
-        )
-        if not path:
-            return
-        self._set_image_collection([Path(path)], 0)
-
-    def load_folder(self) -> None:
-        default_dir = IMAGES_DIR if IMAGES_DIR.exists() else Path.cwd()
-        directory = filedialog.askdirectory(
-            title=self._t("dialog.open_folder_title"),
-            initialdir=str(default_dir),
-        )
-        if not directory:
-            return
-        folder = Path(directory)
-        if not folder.exists():
-            messagebox.showerror(
-                self._t("dialog.error_title"),
-                self._t("dialog.folder_not_found"),
-            )
-            return
-        image_files = sorted(
-            (
-                path
-                for path in folder.iterdir()
-                if path.suffix.lower() in SUPPORTED_IMAGE_EXTENSIONS and path.is_file()
-            ),
-            key=lambda item: item.name.lower(),
-        )
-        if not image_files:
-            messagebox.showinfo(
-                self._t("dialog.info_title"),
-                self._t("dialog.folder_empty"),
-            )
-            return
-        self._set_image_collection(image_files, 0)
-
-    def show_next_image(self, event=None) -> None:
-        if not getattr(self, "image_paths", None):
-            return
-        if not self.image_paths:
-            return
-        current = getattr(self, "current_image_index", -1)
-        next_index = (current + 1) % len(self.image_paths)
-        self._display_image_by_index(next_index)
-
-    def show_previous_image(self, event=None) -> None:
-        if not getattr(self, "image_paths", None):
-            return
-        if not self.image_paths:
-            return
-        current = getattr(self, "current_image_index", -1)
-        prev_index = (current - 1) % len(self.image_paths)
-        self._display_image_by_index(prev_index)
-
-    def _set_image_collection(self, paths: Sequence[Path], start_index: int) -> None:
-        self.image_paths = list(paths)
-        if not self.image_paths:
-            return
-        self.exclude_shapes = []
-        self._rubber_start = None
-        self._rubber_id = None
-        self._stroke_preview_id = None
-        self._exclude_canvas_ids = []
-        self._exclude_mask = None
-        self._exclude_mask_px = None
-        self._exclude_mask_dirty = True
-        self.current_image_index = -1
-        self._display_image_by_index(max(0, start_index))
-
-    def _display_image_by_index(self, index: int) -> None:
-        if not self.image_paths:
-            return
-        if index < 0 or index >= len(self.image_paths):
-            return
-        path = self.image_paths[index]
-        if not path.exists():
-            messagebox.showerror(
-                self._t("dialog.error_title"),
-                self._t("dialog.file_missing", path=path),
-            )
-            return
-        try:
-            image = Image.open(path).convert("RGBA")
-        except Exception as exc:
-            messagebox.showerror(
-                self._t("dialog.error_title"),
-                self._t("dialog.image_open_failed", error=exc),
-            )
-            return
-
-        self.image_path = path
-        self.orig_img = image
-        if getattr(self, "reset_exclusions_on_switch", False):
-            self.exclude_shapes = []
-        self._rubber_start = None
-        self._rubber_id = None
-        self._stroke_preview_id = None
-        self._exclude_canvas_ids = []
-        self._exclude_mask = None
-        self._exclude_mask_px = None
-        self._exclude_mask_dirty = True
-        self.pick_mode = False
-
-        self.prepare_preview()
-        self.update_preview()
-
-        dimensions = f"{self.orig_img.width}x{self.orig_img.height}"
-        suffix = f" [{index + 1}/{len(self.image_paths)}]" if len(self.image_paths) > 1 else ""
-        status_text = self._t("status.loaded", name=path.name, dimensions=dimensions, position=suffix)
-        self.status.config(text=status_text)
-        self.status_default_text = status_text
-        if hasattr(self, "filename_label"):
-            filename_text = self._t(
-                "status.filename_label",
-                name=path.name,
-                dimensions=dimensions,
-                position=suffix,
-            )
-            self.filename_label.config(text=filename_text)
-
-        self.current_image_index = index
-
-    def save_overlay(self) -> None:
-        if self.orig_img is None:
-            messagebox.showinfo(
-                self._t("dialog.info_title"),
-                self._t("dialog.no_image_loaded"),
-            )
-            return
-        if self.preview_img is None:
-            messagebox.showerror(
-                self._t("dialog.error_title"),
-                self._t("dialog.no_preview_available"),
-            )
-            return
-
-        overlay = self._build_overlay_image(
-            self.orig_img,
-            tuple(self.exclude_shapes),
-            alpha=int(self.alpha.get()),
-            scale_from_preview=self.preview_img.size,
-            is_match_fn=self.matches_target_color,
-        )
-        merged = Image.alpha_composite(self.orig_img.convert("RGBA"), overlay)
-
-        out_path = filedialog.asksaveasfilename(
-            defaultextension=".png",
-            filetypes=[("PNG", "*.png")],
-            title=self._t("dialog.save_overlay_title"),
-        )
-        if not out_path:
-            return
-        merged.save(out_path)
-        messagebox.showinfo(
-            self._t("dialog.saved_title"),
-            self._t("dialog.overlay_saved", path=out_path),
-        )
-
-    def prepare_preview(self) -> None:
-        if self.orig_img is None:
-            return
-        width, height = self.orig_img.size
-        max_w, max_h = PREVIEW_MAX_SIZE
-        scale = min(max_w / width, max_h / height, 1.0)
-        size = (max(1, int(width * scale)), max(1, int(height * scale)))
-        self.preview_img = self.orig_img.resize(size, Image.LANCZOS)
-        self.preview_tk = ImageTk.PhotoImage(self.preview_img)
-        self.canvas_orig.delete("all")
-        self.canvas_orig.config(width=size[0], height=size[1])
-        self.canvas_overlay.config(width=size[0], height=size[1])
-        self.canvas_orig.create_image(0, 0, anchor="nw", image=self.preview_tk)
-        self._exclude_mask = None
-        self._exclude_mask_px = None
-        self._exclude_mask_dirty = True
-        if getattr(self, "exclude_shapes", None):
-            self._ensure_exclude_mask()
-
-    def update_preview(self) -> None:
-        if self.preview_img is None:
-            return
-        self._ensure_exclude_mask()
-        merged = self.create_overlay_preview()
-        if merged is None:
-            return
-        self.overlay_tk = ImageTk.PhotoImage(merged)
-        self.canvas_overlay.delete("all")
-        self.canvas_overlay.create_image(0, 0, anchor="nw", image=self.overlay_tk)
-
-        self.canvas_orig.delete("all")
-        self.canvas_orig.create_image(0, 0, anchor="nw", image=self.preview_tk)
-        self._render_exclusion_overlays()
-
-        stats = self.compute_stats_preview()
-        if stats:
-            matches_all, total_all = stats["all"]
-            matches_keep, total_keep = stats["keep"]
-            matches_ex, total_ex = stats["excl"]
-            r_with = (matches_keep / total_keep * 100) if total_keep else 0.0
-            r_no = (matches_all / total_all * 100) if total_all else 0.0
-            excl_share = (total_ex / total_all * 100) if total_all else 0.0
-            excl_match = (matches_ex / total_ex * 100) if total_ex else 0.0
-            self.ratio_label.config(
-                text=self._t(
-                    "stats.summary",
-                    with_pct=r_with,
-                    without_pct=r_no,
-                    excluded_pct=excl_share,
-                    excluded_match_pct=excl_match,
-                )
-            )
-
-        refresher = getattr(self, "_refresh_canvas_backgrounds", None)
-        if callable(refresher):
-            refresher()
-        else:
-            bg = "#0f0f10" if self.theme == "dark" else "#ffffff"
-            self.canvas_orig.configure(bg=bg)
-            self.canvas_overlay.configure(bg=bg)
-
-    def create_overlay_preview(self) -> Image.Image | None:
-        if self.preview_img is None:
-            return None
-        self._ensure_exclude_mask()
-        base = self.preview_img.convert("RGBA")
-        overlay = Image.new("RGBA", base.size, (0, 0, 0, 0))
-        draw = ImageDraw.Draw(overlay)
-        pixels = base.load()
-        mask_px = self._exclude_mask_px
-        width, height = base.size
-        alpha = int(self.alpha.get())
-        for y in range(height):
-            for x in range(width):
-                if mask_px is not None and mask_px[x, y]:
-                    continue
-                r, g, b, a = pixels[x, y]
-                if a == 0:
-                    continue
-                if self.matches_target_color(r, g, b):
-                    draw.point((x, y), fill=(255, 0, 0, alpha))
-        merged = Image.alpha_composite(base, overlay)
-        outline = ImageDraw.Draw(merged)
-        accent_dark = (255, 215, 0, 200)
-        accent_light = (197, 98, 23, 200)
-        accent = accent_dark if getattr(self, "theme", "light") == "dark" else accent_light
-        for shape in getattr(self, "exclude_shapes", []):
-            if shape.get("kind") == "rect":
-                x0, y0, x1, y1 = shape["coords"]  # type: ignore[index]
-                outline.rectangle([x0, y0, x1, y1], outline=accent, width=3)
-            elif shape.get("kind") == "polygon":
-                points = shape.get("points", [])
-                if len(points) < 2:
-                    continue
-                path = points if points[0] == points[-1] else points + [points[0]]
-                outline.line(path, fill=accent, width=2, joint="round")
-        return merged
-
-    def compute_stats_preview(self):
-        if self.preview_img is None:
-            return None
-        self._ensure_exclude_mask()
-        px = self.preview_img.convert("RGBA").load()
-        mask_px = self._exclude_mask_px
-        width, height = self.preview_img.size
-        matches_all = total_all = 0
-        matches_keep = total_keep = 0
-        matches_excl = total_excl = 0
-        for y in range(height):
-            for x in range(width):
-                r, g, b, a = px[x, y]
-                if a == 0:
-                    continue
-                excluded = bool(mask_px and mask_px[x, y])
-                total_all += 1
-                if self.matches_target_color(r, g, b):
-                    matches_all += 1
-                if not excluded:
-                    total_keep += 1
-                    if self.matches_target_color(r, g, b):
-                        matches_keep += 1
-                else:
-                    total_excl += 1
-                    if self.matches_target_color(r, g, b):
-                        matches_excl += 1
-        return {
-            "all": (matches_all, total_all),
-            "keep": (matches_keep, total_keep),
-            "excl": (matches_excl, total_excl),
-        }
-
-    def matches_target_color(self, r, g, b) -> bool:
-        h, s, v = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)
-        hue = h * 360.0
-        hmin = float(self.hue_min.get())
-        hmax = float(self.hue_max.get())
-        smin = float(self.sat_min.get()) / 100.0
-        vmin = float(self.val_min.get()) / 100.0
-        vmax = float(self.val_max.get()) / 100.0
-        if hmin <= hmax:
-            hue_ok = hmin <= hue <= hmax
-        else:
-            hue_ok = (hue >= hmin) or (hue <= hmax)
-        return hue_ok and (s >= smin) and (v >= vmin) and (v <= vmax)
-
-    def _is_excluded(self, x: int, y: int) -> bool:
-        self._ensure_exclude_mask()
-        if self._exclude_mask_px is None:
-            return False
-        try:
-            return bool(self._exclude_mask_px[x, y])
-        except Exception:
-            return False
-
-    @classmethod
-    def _build_overlay_image(
-        cls,
-        image: Image.Image,
-        shapes: Iterable[dict[str, object]],
-        *,
-        alpha: int,
-        scale_from_preview: Tuple[int, int],
-        is_match_fn,
-    ) -> Image.Image:
-        overlay = Image.new("RGBA", image.size, (0, 0, 0, 0))
-        draw = ImageDraw.Draw(overlay)
-        pixels = image.load()
-        width, height = image.size
-        mask = cls._build_exclude_mask_for_size(tuple(shapes), scale_from_preview, image.size)
-        mask_px = mask.load() if mask else None
-        for y in range(height):
-            for x in range(width):
-                if mask_px is not None and mask_px[x, y]:
-                    continue
-                r, g, b, a = pixels[x, y]
-                if a == 0:
-                    continue
-                if is_match_fn(r, g, b):
-                    draw.point((x, y), fill=(255, 0, 0, alpha))
-        return overlay
-
-    @classmethod
-    def _build_exclude_mask_for_size(
-        cls,
-        shapes: Iterable[dict[str, object]],
-        preview_size: Tuple[int, int],
-        target_size: Tuple[int, int],
-    ) -> Image.Image | None:
-        if not preview_size or not target_size or preview_size[0] == 0 or preview_size[1] == 0:
-            return None
-        mask = Image.new("L", target_size, 0)
-        draw = ImageDraw.Draw(mask)
-        scale_x = target_size[0] / preview_size[0]
-        scale_y = target_size[1] / preview_size[1]
-        for shape in shapes:
-            kind = shape.get("kind")
-            cls._draw_shape_on_mask(draw, shape, scale_x=scale_x, scale_y=scale_y)
-        return mask
-
-    def _ensure_exclude_mask(self) -> None:
-        if self.preview_img is None:
-            return
-        size = self.preview_img.size
-        if (
-            self._exclude_mask is None
-            or self._exclude_mask.size != size
-            or getattr(self, "_exclude_mask_dirty", False)
-        ):
-            self._exclude_mask = Image.new("L", size, 0)
-            draw = ImageDraw.Draw(self._exclude_mask)
-            for shape in getattr(self, "exclude_shapes", []):
-                self._draw_shape_on_mask(draw, shape, scale_x=1.0, scale_y=1.0)
-            self._exclude_mask_px = self._exclude_mask.load()
-            self._exclude_mask_dirty = False
-        elif self._exclude_mask_px is None:
-            self._exclude_mask_px = self._exclude_mask.load()
-
-    def _stamp_shape_on_mask(self, shape: dict[str, object]) -> None:
-        if self.preview_img is None:
-            return
-        if self._exclude_mask is None or self._exclude_mask.size != self.preview_img.size:
-            self._exclude_mask_dirty = True
-            return
-        draw = ImageDraw.Draw(self._exclude_mask)
-        self._draw_shape_on_mask(draw, shape, scale_x=1.0, scale_y=1.0)
-        self._exclude_mask_px = self._exclude_mask.load()
-
-    @staticmethod
-    def _draw_shape_on_mask(
-        draw: ImageDraw.ImageDraw,
-        shape: dict[str, object],
-        *,
-        scale_x: float,
-        scale_y: float,
-    ) -> None:
-        kind = shape.get("kind")
-        if kind == "rect":
-            x0, y0, x1, y1 = shape["coords"]  # type: ignore[index]
-            draw.rectangle(
-                [
-                    x0 * scale_x,
-                    y0 * scale_y,
-                    x1 * scale_x,
-                    y1 * scale_y,
-                ],
-                fill=255,
-            )
-        elif kind == "polygon":
-            points = shape.get("points")
-            if not points or len(points) < 2:
-                return
-            scaled = [(px * scale_x, py * scale_y) for px, py in points]  # type: ignore[misc]
-            draw.polygon(scaled, fill=255)
-
-    def _render_exclusion_overlays(self) -> None:
-        if not hasattr(self, "canvas_orig"):
-            return
-        for item in getattr(self, "_exclude_canvas_ids", []):
-            try:
-                self.canvas_orig.delete(item)
-            except Exception:
-                pass
-        self._exclude_canvas_ids = []
-        accent_dark = "#ffd700"
-        accent_light = "#c56217"
-        accent = accent_dark if getattr(self, "theme", "light") == "dark" else accent_light
-        for shape in getattr(self, "exclude_shapes", []):
-            kind = shape.get("kind")
-            if kind == "rect":
-                x0, y0, x1, y1 = shape["coords"]  # type: ignore[index]
-                item = self.canvas_orig.create_rectangle(
-                    x0, y0, x1, y1, outline=accent, width=3
-                )
-                self._exclude_canvas_ids.append(item)
-            elif kind == "polygon":
-                points = shape.get("points")
-                if not points or len(points) < 2:
-                    continue
-                closed = points if points[0] == points[-1] else points + [points[0]]  # type: ignore[operator]
-                coords = [coord for point in closed for coord in point]  # type: ignore[misc]
-                item = self.canvas_orig.create_line(
-                    *coords,
-                    fill=accent,
-                    width=2,
-                    smooth=True,
-                    capstyle="round",
-                    joinstyle="round",
-                )
-                self._exclude_canvas_ids.append(item)
-
-
-__all__ = ["ImageProcessingMixin"]

app/logic/reset.py

@@ -1,36 +0,0 @@
-"""Utility mixin for restoring default slider values."""
-
-from __future__ import annotations
-
-
-class ResetMixin:
-    def reset_sliders(self):
-        self.hue_min.set(self.DEFAULTS["hue_min"])
-        self.hue_max.set(self.DEFAULTS["hue_max"])
-        self.sat_min.set(self.DEFAULTS["sat_min"])
-        self.val_min.set(self.DEFAULTS["val_min"])
-        self.val_max.set(self.DEFAULTS["val_max"])
-        self.alpha.set(self.DEFAULTS["alpha"])
-        self.update_preview()
-        try:
-            default_hex = self._default_colour_hex()  # type: ignore[attr-defined]
-        except Exception:
-            default_hex = None
-        if default_hex and hasattr(self, "_parse_hex_colour") and hasattr(self, "_update_selected_colour"):
-            try:
-                rgb = self._parse_hex_colour(default_hex)  # type: ignore[attr-defined]
-            except Exception:
-                rgb = None
-            if rgb:
-                try:
-                    self._update_selected_colour(*rgb)  # type: ignore[arg-type,attr-defined]
-                except Exception:
-                    pass
-        default_text = getattr(self, "status_default_text", None)
-        if default_text is None:
-            default_text = self._t("status.defaults_restored") if hasattr(self, "_t") else "Defaults restored."
-        if hasattr(self, "status"):
-            self.status.config(text=default_text)
-
-
-__all__ = ["ResetMixin"]

app/qt/__init__.py

@@ -0,0 +1,7 @@
+"""PySide6 application entry points."""
+
+from __future__ import annotations
+
+from .app import create_application, run
+
+__all__ = ["create_application", "run"]

app/qt/app.py

@@ -0,0 +1,69 @@
+"""Application bootstrap for the PySide6 GUI."""
+
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+from PySide6 import QtCore, QtGui, QtWidgets
+
+from app.logic import DEFAULTS, LANGUAGE, RESET_EXCLUSIONS_ON_IMAGE_CHANGE
+from .main_window import MainWindow
+
+
+def create_application() -> QtWidgets.QApplication:
+    """Create the Qt application instance with customised styling."""
+    app = QtWidgets.QApplication.instance()
+    if app is None:
+        app = QtWidgets.QApplication(sys.argv)
+
+    app.setOrganizationName("ICRA")
+    app.setApplicationName("Interactive Color Range Analyzer")
+    app.setApplicationDisplayName("ICRA")
+
+    palette = QtGui.QPalette()
+    palette.setColor(QtGui.QPalette.Window, QtGui.QColor("#111216"))
+    palette.setColor(QtGui.QPalette.WindowText, QtGui.QColor("#f5f5f5"))
+    palette.setColor(QtGui.QPalette.Base, QtGui.QColor("#1a1b21"))
+    palette.setColor(QtGui.QPalette.AlternateBase, QtGui.QColor("#20212a"))
+    palette.setColor(QtGui.QPalette.Button, QtGui.QColor("#20212a"))
+    palette.setColor(QtGui.QPalette.ButtonText, QtGui.QColor("#f5f5f5"))
+    palette.setColor(QtGui.QPalette.Text, QtGui.QColor("#f5f5f5"))
+    palette.setColor(QtGui.QPalette.Highlight, QtGui.QColor("#5168ff"))
+    palette.setColor(QtGui.QPalette.HighlightedText, QtGui.QColor("#ffffff"))
+    app.setPalette(palette)
+
+    font = QtGui.QFont("Segoe UI", 10)
+    app.setFont(font)
+
+    logo_path = Path(__file__).resolve().parents[1] / "assets" / "logo.png"
+    if logo_path.exists():
+        app.setWindowIcon(QtGui.QIcon(str(logo_path)))
+
+    return app
+
+
+def run() -> int:
+    """Run the PySide6 GUI."""
+    app = create_application()
+    from app.logic import OVERLAY_COLOR, EXCLUDE_BG_COLOR, EXCLUDE_BG_TOLERANCE, WEIGHTS
+    window = MainWindow(
+        language=LANGUAGE,
+        defaults=DEFAULTS.copy(),
+        reset_exclusions=RESET_EXCLUSIONS_ON_IMAGE_CHANGE,
+        weights=WEIGHTS.copy(),
+        overlay_color=OVERLAY_COLOR,
+        exclude_bg_color=EXCLUDE_BG_COLOR,
+        exclude_bg_tolerance=EXCLUDE_BG_TOLERANCE,
+    )
+
+    # Respect saved geometry from QSettings; fall back to maximised on first launch
+    settings = QtCore.QSettings("ICRA", "MainWindow")
+    if settings.value("geometry"):
+        window.show()
+    else:
+        primary_screen = app.primaryScreen()
+        if primary_screen is not None:
+            window.setGeometry(primary_screen.availableGeometry())
+        window.showMaximized()
+    return app.exec()

app/qt/image_processor.py

@@ -0,0 +1,905 @@
+"""Minimal image processing pipeline adapted for the Qt frontend."""
+
+from __future__ import annotations
+
+import colorsys
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Dict, Iterable, Tuple
+
+import numpy as np
+from PIL import Image, ImageDraw
+from PySide6 import QtGui
+
+from app.logic import PREVIEW_MAX_SIZE
+
+
+@dataclass
+class Stats:
+    matches_all: int = 0
+    total_all: int = 0
+    matches_keep: int = 0
+    total_keep: int = 0
+    matches_excl: int = 0
+    total_excl: int = 0
+    brightness_score: float = 0.0
+    grouping_score: float = 0.0
+    continuity_score: float = 0.0
+    border_score: float = 0.0
+    prefer_dark: bool = False
+
+    @property
+    def effective_brightness(self) -> float:
+        """Returns inverted brightness when prefer_dark is on."""
+        return (100.0 - self.brightness_score) if self.prefer_dark else self.brightness_score
+
+    def composite_score(self, weights: dict[str, int]) -> float:
+        """Calculates weighted composite based on provided weights (0-100)."""
+        pct_all = (self.matches_all / self.total_all * 100) if self.total_all else 0.0
+        pct_keep = (self.matches_keep / self.total_keep * 100) if self.total_keep else 0.0
+        
+        # weights keys: match_all, match_keep, brightness, grouping, continuity, border
+        w_all = weights.get("match_all", 30) / 100.0
+        w_keep = weights.get("match_keep", 30) / 100.0
+        w_bright = weights.get("brightness", 10) / 100.0
+        w_group = weights.get("grouping", 10) / 100.0
+        w_cont = weights.get("continuity", 10) / 100.0
+        w_bord = weights.get("border", 10) / 100.0
+        
+        return (w_all * pct_all + 
+                w_keep * pct_keep + 
+                w_bright * self.effective_brightness + 
+                w_group * self.grouping_score +
+                w_cont * self.continuity_score +
+                w_bord * self.border_score)
+
+    def summary(self, translate, weights: dict[str, int]) -> str:
+        if self.total_all == 0:
+            return translate("stats.placeholder")
+        with_pct = (self.matches_keep / self.total_keep * 100) if self.total_keep else 0.0
+        without_pct = (self.matches_all / self.total_all * 100) if self.total_all else 0.0
+        excluded_pct = (self.total_excl / self.total_all * 100) if self.total_all else 0.0
+        brightness_label = translate("stats.darkness_label") if self.prefer_dark else translate("stats.brightness_label")
+        score = self.composite_score(weights)
+        return translate(
+            "stats.summary",
+            score=score,
+            with_pct=with_pct,
+            without_pct=without_pct,
+            brightness_label=brightness_label,
+            brightness=self.effective_brightness,
+            grouping=self.grouping_score,
+            continuity=self.continuity_score,
+            border=self.border_score,
+            excluded_pct=excluded_pct,
+        )
+
+
+def _rgb_to_hsv_numpy(arr: np.ndarray) -> np.ndarray:
+    """Vectorized RGB→HSV conversion. arr shape: (H, W, 3), dtype float32, range [0,1].
+    Returns array of same shape with channels [H(0-360), S(0-100), V(0-100)].
+    """
+    r = arr[..., 0]
+    g = arr[..., 1]
+    b = arr[..., 2]
+
+    cmax = np.maximum(np.maximum(r, g), b)
+    cmin = np.minimum(np.minimum(r, g), b)
+    delta = cmax - cmin
+
+    # Value
+    v = cmax
+
+    # Saturation
+    s = np.zeros_like(r)
+    np.divide(delta, cmax, out=s, where=cmax > 0)
+
+    # Hue
+    h = np.zeros_like(r)
+    mask_r = (delta > 0) & (cmax == r)
+    mask_g = (delta > 0) & (cmax == g)
+    mask_b = (delta > 0) & (cmax == b)
+    h[mask_r] = (60.0 * ((g[mask_r] - b[mask_r]) / delta[mask_r])) % 360.0
+    h[mask_g] = (60.0 * ((b[mask_g] - r[mask_g]) / delta[mask_g]) + 120.0) % 360.0
+    h[mask_b] = (60.0 * ((r[mask_b] - g[mask_b]) / delta[mask_b]) + 240.0) % 360.0
+
+    return np.stack([h, s * 100.0, v * 100.0], axis=-1)
+
+
+def _calculate_border_score(mask: np.ndarray, val: np.ndarray, alpha_ch: np.ndarray, prefer_dark: bool, excl_mask: np.ndarray | None = None) -> float:
+    """Measure border cleanliness: penalizes extremely dark (or bright) pixels along the match perimeter.
+    Uses Top-10% percentile to ensure local artifacts (halos) aren't diluted by clean edges.
+    """
+    if not mask.any():
+        return 100.0
+        
+    dilated = mask.copy()
+    # Manual morphological 1-pixel dilation
+    dilated[:-1, :] |= mask[1:, :]
+    dilated[1:, :] |= mask[:-1, :]
+    dilated[:, :-1] |= mask[:, 1:]
+    dilated[:, 1:] |= mask[:, :-1]
+    
+    dil2 = dilated.copy()
+    dil2[:-1, :] |= dilated[1:, :]
+    dil2[1:, :] |= dilated[:-1, :]
+    dil2[:, :-1] |= dilated[:, 1:]
+    dil2[:, 1:] |= dilated[:, :-1]
+    
+    # Target exterior pixels that aren't transparent and NOT excluded
+    outer = dil2 & ~mask & (alpha_ch >= 128)
+    if excl_mask is not None:
+        outer &= ~excl_mask
+
+    if not outer.any():
+        return 100.0
+        
+    border_vals = val[outer]
+    if prefer_dark:
+        # Penalize super bright edges (white/silver > 60)
+        penalties = np.clip(border_vals - 60.0, 0, None)
+    else:
+        # Penalize super dark edges (black/heavy shadows < 40)
+        penalties = np.clip(40.0 - border_vals, 0, None)
+        
+    # Hammer down harsh cuts: focus on the 'worst' parts of the border
+    if not penalties.any():
+        return 100.0
+
+    # Using 4th power penalty for 'catastrophic' edge detection.
+    # A single pitch-black line (high diff) is now exponentially worse than a gray transition.
+    total_penalty = np.sum(penalties ** 4)
+    # Collector's Grade: only 20 pixels at full intensity (40^4) 
+    # are required for a 1% drop in the Border Score.
+    max_penalty_sum = 20.0 * (40.0 ** 4)
+    
+    score = 100.0 * (1.0 - (total_penalty / max_penalty_sum))
+    return max(0.0, float(score))
+
+
+def _export_worker(args: tuple) -> tuple:
+    """Standalone worker for ProcessPoolExecutor batch export.
+
+    Receives ``(image_path, params)`` where *params* is the dict produced by
+    ``QtImageProcessor.get_export_params()``.  Opens the image, runs the
+    full stats pipeline, and returns a plain results tuple.  No processor
+    instance is needed so nothing has to be pickled.
+    """
+    image_path, params = args
+    from pathlib import Path
+
+    try:
+        img_path = Path(image_path)
+        hue_min = params["hue_min"]
+        hue_max = params["hue_max"]
+        sat_min = params["sat_min"]
+        sat_max = params["sat_max"]
+        val_min = params["val_min"]
+        val_max = params["val_max"]
+        exclude_bg = params["exclude_bg"]
+        exclude_bg_rgb = tuple(params["exclude_bg_rgb"])
+        exclude_bg_tolerance = params["exclude_bg_tolerance"]
+        prefer_dark = params["prefer_dark"]
+        exclude_shapes = params["exclude_shapes"]
+        exclude_ref_size = params["exclude_ref_size"]
+
+        img = Image.open(img_path).convert("RGBA")
+        arr = np.asarray(img, dtype=np.float32)
+
+        rgb = arr[..., :3] / 255.0
+        alpha_ch = arr[..., 3].copy()
+
+        if exclude_bg:
+            r_bg, g_bg, b_bg = exclude_bg_rgb
+            tol = exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0] - r_bg) <= tol) &
+                (np.abs(arr[..., 1] - g_bg) <= tol) &
+                (np.abs(arr[..., 2] - b_bg) <= tol)
+            )
+            alpha_ch[bg_mask] = 0
+
+        hsv = _rgb_to_hsv_numpy(rgb)
+        hue = hsv[..., 0]
+        sat = hsv[..., 1]
+        val = hsv[..., 2]
+
+        if hue_min <= hue_max:
+            hue_ok = (hue >= hue_min) & (hue <= hue_max)
+        else:
+            hue_ok = (hue >= hue_min) | (hue <= hue_max)
+
+        match_mask = (
+            hue_ok
+            & (sat >= sat_min)
+            & (sat <= sat_max)
+            & (val >= val_min)
+            & (val <= val_max)
+            & (alpha_ch >= 128)
+        )
+
+        # Build exclusion mask
+        w, h = img.size
+        if not exclude_shapes:
+            excl_mask = np.zeros((h, w), dtype=bool)
+        else:
+            target_w, target_h = w, h
+            ref_w, ref_h = exclude_ref_size or (w, h)
+            sx = target_w / ref_w if ref_w > 0 else 1.0
+            sy = target_h / ref_h if ref_h > 0 else 1.0
+            mask_img = Image.new("L", (w, h), 0)
+            draw = ImageDraw.Draw(mask_img)
+            for shape in exclude_shapes:
+                kind = shape.get("kind")
+                if kind == "rect":
+                    x0, y0, x1, y1 = shape["coords"]
+                    draw.rectangle([x0 * sx, y0 * sy, x1 * sx, y1 * sy], fill=255)
+                elif kind == "polygon":
+                    points = shape.get("points", [])
+                    if len(points) >= 3:
+                        scaled_pts = [(int(px * sx), int(py * sy)) for px, py in points]
+                        draw.polygon(scaled_pts, fill=255)
+            excl_mask = np.asarray(mask_img, dtype=bool)
+
+        keep_match = match_mask & ~excl_mask
+        visible = alpha_ch >= 128
+        keep_visible = visible & ~excl_mask
+        if keep_visible.any():
+            v_vals = val[keep_visible]
+            mean_v = float(v_vals.mean())
+            std_v = float(v_vals.std())
+            # Collector's Purity: multiply mean by a factor derived from variance
+            # A perfectly uniform pattern (std=0) gets 100% of its mean.
+            # Blotchy patterns (std > 10) get a significant reduction.
+            purity_factor = max(0.0, 1.0 - (std_v / 20.0))
+            brightness = mean_v * purity_factor
+        else:
+            brightness = 0.0
+
+        # Grouping score (inline for worker isolation)
+        if not keep_match.any():
+            grouping = 0.0
+        else:
+            mh, mw = keep_match.shape
+            padded = np.pad(keep_match, 5, mode='constant', constant_values=0)
+            cumsum = padded.astype(np.int32).cumsum(axis=0).cumsum(axis=1)
+            y2, x2 = np.arange(9, 9 + mh)[:, None], np.arange(9, 9 + mw)
+            y1_1, x1_1 = np.arange(0, mh)[:, None], np.arange(0, mw)
+            window_sums = cumsum[y2, x2] - cumsum[y1_1, x2] - cumsum[y2, x1_1] + cumsum[y1_1, x1_1]
+            neighbors = (window_sums - keep_match.astype(np.int32)).clip(min=0)
+            match_neighbors = neighbors[keep_match]
+            grouping = float(((match_neighbors / 80.0) ** 2).mean() * 100.0)
+
+        matches_all = int(match_mask[visible].sum())
+        total_all = int(visible.sum())
+        matches_keep = int(keep_match[visible].sum())
+        total_keep = int(keep_visible.sum())
+
+        # Continuity score (inline for worker isolation)
+        continuity = 0.0
+        if keep_match.any():
+            area = keep_match.sum()
+            y_idx, x_idx = np.nonzero(keep_match)
+            unvisited = set(zip(y_idx, x_idx))
+            max_cc_area = 0
+            while unvisited:
+                start_node = unvisited.pop()
+                queue = [start_node]
+                cc_area = 0
+                while queue:
+                    cy, cx = queue.pop()
+                    cc_area += 1
+                    for ny, nx in ((cy-1, cx), (cy+1, cx), (cy, cx-1), (cy, cx+1)):
+                        if (ny, nx) in unvisited:
+                            unvisited.remove((ny, nx))
+                            queue.append((ny, nx))
+                if cc_area > max_cc_area:
+                    max_cc_area = cc_area
+            continuity = float(max_cc_area / area * 100.0) if area > 0 else 0.0
+
+        eff_brightness = (100.0 - brightness) if prefer_dark else brightness
+        
+        # Border Cleanliness score calculation using standalone util
+        border = _calculate_border_score(keep_match, val, alpha_ch, prefer_dark, excl_mask)
+
+        pct_all = (matches_all / total_all * 100) if total_all else 0.0
+        pct_keep = (matches_keep / total_keep * 100) if total_keep else 0.0
+
+        weights = params["weights"]
+        w_all = weights.get("match_all", 30) / 100.0
+        w_keep = weights.get("match_keep", 30) / 100.0
+        w_bright = weights.get("brightness", 10) / 100.0
+        w_group = weights.get("grouping", 10) / 100.0
+        w_cont = weights.get("continuity", 10) / 100.0
+        w_bord = weights.get("border", 10) / 100.0
+        composite = (w_all * pct_all + w_keep * pct_keep + w_bright * eff_brightness + 
+                     w_group * grouping + w_cont * continuity + w_bord * border)
+
+        img.close()
+        return (img_path.name, pct_all, pct_keep, eff_brightness, grouping, continuity, border, composite)
+    except Exception:
+        return (img_path.name, None, None, None, None, None, None, None)
+
+
+class QtImageProcessor:
+    """Process images and build overlays for the Qt UI."""
+
+    def __init__(self) -> None:
+        self.orig_img: Image.Image | None = None
+        self.preview_img: Image.Image | None = None
+        self.overlay_img: Image.Image | None = None
+        self.preview_paths: list[Path] = []
+        self.current_index: int = -1
+        self.stats = Stats()
+
+        # Overlay tint color
+        self.overlay_r = 255
+        self.overlay_g = 0
+        self.overlay_b = 0
+
+        self.defaults: Dict[str, int] = {
+            "hue_min": 0,
+            "hue_max": 360,
+            "sat_min": 25,
+            "sat_max": 100,
+            "val_min": 15,
+            "val_max": 100,
+            "alpha": 120,
+        }
+        self.hue_min = self.defaults["hue_min"]
+        self.hue_max = self.defaults["hue_max"]
+        self.sat_min = self.defaults["sat_min"]
+        self.sat_max = self.defaults["sat_max"]
+        self.val_min = self.defaults["val_min"]
+        self.val_max = self.defaults["val_max"]
+        self.alpha = self.defaults["alpha"]
+
+        self.exclude_shapes: list[dict[str, object]] = []
+        self.reset_exclusions_on_switch: bool = False
+
+        # Mask caching
+        self._cached_mask: np.ndarray | None = None
+        self._cached_mask_size: Tuple[int, int] | None = None
+        self.exclude_ref_size: Tuple[int, int] | None = None
+        self.prefer_dark: bool = False
+        self.exclude_bg: bool = True
+        self.exclude_bg_rgb: Tuple[int, int, int] = (31, 41, 55)
+        self.exclude_bg_tolerance: int = 5
+        self.weights: Dict[str, int] = {
+            "match_all": 20,
+            "match_keep": 20,
+            "brightness": 10,
+            "grouping": 10,
+            "continuity": 20,
+            "border": 20
+        }
+
+    def set_defaults(self, defaults: dict) -> None:
+        for key in self.defaults:
+            if key in defaults:
+                self.defaults[key] = int(defaults[key])
+        for key, value in self.defaults.items():
+            setattr(self, key, value)
+        self._rebuild_overlay()
+
+    # thresholds -------------------------------------------------------------
+
+    def set_threshold(self, key: str, value: int) -> None:
+        setattr(self, key, value)
+        if self.preview_img is not None:
+            self._rebuild_overlay()
+
+    # image handling --------------------------------------------------------
+
+    def load_single_image(self, path: Path, *, reset_collection: bool = True) -> Path:
+        image = Image.open(path).convert("RGBA")
+        self.orig_img = image
+        if reset_collection:
+            self.preview_paths = [path]
+            self.current_index = 0
+        self._build_preview()
+        self._rebuild_overlay()
+        return path
+
+    def load_folder(self, paths: Iterable[Path], start_index: int = 0) -> Path:
+        self.preview_paths = list(paths)
+        if not self.preview_paths:
+            raise ValueError("No images in folder.")
+        self.current_index = max(0, min(start_index, len(self.preview_paths) - 1))
+        return self._load_image_at_current()
+
+    def next_image(self) -> Path | None:
+        if not self.preview_paths:
+            return None
+        self.current_index = (self.current_index + 1) % len(self.preview_paths)
+        return self._load_image_at_current()
+
+    def previous_image(self) -> Path | None:
+        if not self.preview_paths:
+            return None
+        self.current_index = (self.current_index - 1) % len(self.preview_paths)
+        return self._load_image_at_current()
+
+    def _load_image_at_current(self) -> Path:
+        path = self.preview_paths[self.current_index]
+        return self.load_single_image(path, reset_collection=False)
+
+    # preview/overlay -------------------------------------------------------
+
+    def _build_preview(self) -> None:
+        if self.orig_img is None:
+            self.preview_img = None
+            return
+
+        img_to_process = self.orig_img.convert("RGBA")
+        if self.exclude_bg:
+            # Mask the background color with tolerance on the original image before resizing
+            # this prevents interpolation artifacts from leaving a background 'halo'
+            arr = np.array(img_to_process)
+            r_bg, g_bg, b_bg = self.exclude_bg_rgb
+            tol = self.exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0].astype(np.int16) - r_bg) <= tol) &
+                (np.abs(arr[..., 1].astype(np.int16) - g_bg) <= tol) &
+                (np.abs(arr[..., 2].astype(np.int16) - b_bg) <= tol)
+            )
+            arr[bg_mask, 3] = 0
+            img_to_process = Image.fromarray(arr, "RGBA")
+
+        width, height = img_to_process.size
+        max_w, max_h = PREVIEW_MAX_SIZE
+        scale = min(max_w / width, max_h / height)
+        if scale <= 0:
+            scale = 1.0
+        size = (max(1, int(width * scale)), max(1, int(height * scale)))
+        self.preview_img = img_to_process.resize(size, Image.LANCZOS)
+
+    def _rebuild_overlay(self) -> None:
+        """Build color-match overlay using vectorized NumPy operations."""
+        if self.preview_img is None:
+            self.overlay_img = None
+            self.stats = Stats()
+            return
+
+        base = self.preview_img.convert("RGBA")
+        arr = np.asarray(base, dtype=np.float32)  # (H, W, 4)
+
+        rgb = arr[..., :3] / 255.0
+        alpha_ch = arr[..., 3].copy()              # alpha channel of the image
+        
+        if self.exclude_bg:
+            # Exclude specific background color
+            r_bg, g_bg, b_bg = self.exclude_bg_rgb
+            tol = self.exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0] - r_bg) <= tol) &
+                (np.abs(arr[..., 1] - g_bg) <= tol) &
+                (np.abs(arr[..., 2] - b_bg) <= tol)
+            )
+            alpha_ch[bg_mask] = 0
+
+        hsv = _rgb_to_hsv_numpy(rgb)               # (H, W, 3): H°, S%, V%
+
+        hue = hsv[..., 0]
+        sat = hsv[..., 1]
+        val = hsv[..., 2]
+
+        hue_min = float(self.hue_min)
+        hue_max = float(self.hue_max)
+        if hue_min <= hue_max:
+            hue_ok = (hue >= hue_min) & (hue <= hue_max)
+        else:
+            hue_ok = (hue >= hue_min) | (hue <= hue_max)
+
+        match_mask = (
+            hue_ok
+            & (sat >= float(self.sat_min))
+            & (sat <= float(self.sat_max))
+            & (val >= float(self.val_min))
+            & (val <= float(self.val_max))
+            & (alpha_ch >= 128)
+        )
+
+        # Exclusion mask (same pixel space as preview)
+        excl_mask = self._build_exclusion_mask_numpy(base.size)  # bool (H,W)
+
+        keep_match = match_mask & ~excl_mask
+        excl_match = match_mask & excl_mask
+        visible = alpha_ch >= 128
+        matches_all = int(match_mask[visible].sum())
+        total_all   = int(visible.sum())
+        matches_keep = int(keep_match[visible].sum())
+        total_keep   = int((visible & ~excl_mask).sum())
+        matches_excl = int(excl_match[visible].sum())
+        total_excl   = int((visible & excl_mask).sum())
+
+        # Brightness: mean Value (0-100) of ALL non-excluded visible pixels
+        keep_visible = visible & ~excl_mask
+        if keep_visible.any():
+            v_vals = val[keep_visible]
+            mean_v = float(v_vals.mean())
+            std_v = float(v_vals.std())
+            # Purity factor: subtract deviation from mean to punish blotchy patterns
+            brightness = max(0.0, mean_v - (std_v * 1.5))
+        else:
+            brightness = 0.0
+        
+        # Grouping: measure clustering of match_mask
+        grouping = self._calculate_grouping_score(keep_match)
+        
+        # Continuity: Measure connectivity of matched area
+        continuity = self._calculate_continuity_score(keep_match)
+        
+        # Border Cleanliness: Calculate hard edges based on preference
+        border = _calculate_border_score(keep_match, val, alpha_ch, self.prefer_dark, excl_mask)
+
+        # Build overlay image
+        overlay_arr = np.zeros((base.height, base.width, 4), dtype=np.uint8)
+        overlay_arr[keep_match, 0] = self.overlay_r
+        overlay_arr[keep_match, 1] = self.overlay_g
+        overlay_arr[keep_match, 2] = self.overlay_b
+        overlay_arr[keep_match, 3] = int(self.alpha)
+
+        self.overlay_img = Image.fromarray(overlay_arr, "RGBA")
+        self.stats = Stats(
+            matches_all=matches_all,
+            total_all=total_all,
+            matches_keep=matches_keep,
+            total_keep=total_keep,
+            matches_excl=matches_excl,
+            total_excl=total_excl,
+            brightness_score=brightness,
+            grouping_score=grouping,
+            continuity_score=continuity,
+            border_score=border,
+            prefer_dark=self.prefer_dark,
+        )
+
+    def get_stats_headless(self, image: Image.Image) -> Stats:
+        """Calculate color-match statistics natively without building UI elements or scaling."""
+        base = image.convert("RGBA")
+        arr = np.asarray(base, dtype=np.float32)
+
+        rgb = arr[..., :3] / 255.0
+        alpha_ch = arr[..., 3].copy()                     
+
+        if self.exclude_bg:
+            # Exclude background color with tolerance
+            r_bg, g_bg, b_bg = self.exclude_bg_rgb
+            tol = self.exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0] - r_bg) <= tol) &
+                (np.abs(arr[..., 1] - g_bg) <= tol) &
+                (np.abs(arr[..., 2] - b_bg) <= tol)
+            )
+            alpha_ch[bg_mask] = 0
+
+        hsv = _rgb_to_hsv_numpy(rgb)               
+
+        hue = hsv[..., 0]
+        sat = hsv[..., 1]
+        val = hsv[..., 2]
+
+        hue_min = float(self.hue_min)
+        hue_max = float(self.hue_max)
+        if hue_min <= hue_max:
+            hue_ok = (hue >= hue_min) & (hue <= hue_max)
+        else:
+            hue_ok = (hue >= hue_min) | (hue <= hue_max)
+
+        match_mask = (
+            hue_ok
+            & (sat >= float(self.sat_min))
+            & (sat <= float(self.sat_max))
+            & (val >= float(self.val_min))
+            & (val <= float(self.val_max))
+            & (alpha_ch >= 128)
+        )
+
+        excl_mask = self._build_exclusion_mask_numpy(base.size)  
+
+        keep_match = match_mask & ~excl_mask
+        excl_match = match_mask & excl_mask
+
+        visible = alpha_ch >= 128
+        matches_keep_count = int(keep_match[visible].sum())
+        keep_visible = visible & ~excl_mask
+        if keep_visible.any():
+            v_vals = val[keep_visible]
+            mean_v = float(v_vals.mean())
+            std_v = float(v_vals.std())
+            # Collector's Purity: multiply mean by a factor derived from variance
+            # A perfectly uniform pattern (std=0) gets 100% of its mean.
+            # Blotchy patterns (std > 10) get a significant reduction.
+            purity_factor = max(0.0, 1.0 - (std_v / 20.0))
+            brightness = mean_v * purity_factor
+        else:
+            brightness = 0.0
+        grouping = self._calculate_grouping_score(keep_match)
+        continuity = self._calculate_continuity_score(keep_match)
+        border = _calculate_border_score(keep_match, val, alpha_ch, self.prefer_dark, excl_mask)
+
+        return Stats(
+            matches_all=int(match_mask[visible].sum()),
+            total_all=int(visible.sum()),
+            matches_keep=matches_keep_count,
+            total_keep=int((visible & ~excl_mask).sum()),
+            matches_excl=int(excl_match[visible].sum()),
+            total_excl=int((visible & excl_mask).sum()),
+            brightness_score=brightness,
+            grouping_score=grouping,
+            continuity_score=continuity,
+            border_score=border,
+            prefer_dark=self.prefer_dark,
+        )
+
+    def _calculate_grouping_score(self, mask: np.ndarray) -> float:
+        """Measure clustering: average density in a 9x9 neighborhood (0-100)."""
+        if not mask.any():
+            return 0.0
+        
+        h, w = mask.shape
+        # Use cumulative sums for O(1) box sum calculation
+        padded = np.pad(mask, 5, mode='constant', constant_values=0)
+        cumsum = padded.astype(np.int32).cumsum(axis=0).cumsum(axis=1)
+        
+        # Indices for 9x9 windows centered at each mask pixel
+        y2, x2 = np.arange(9, 9 + h)[:, None], np.arange(9, 9 + w)
+        y1_1, x1_1 = np.arange(0, h)[:, None], np.arange(0, w)
+        
+        # Box sum formula: S(window) = S(x2,y2) - S(x1-1,y2) - S(x2,y1-1) + S(x1-1,y1-1)
+        window_sums = cumsum[y2, x2] - cumsum[y1_1, x2] - cumsum[y2, x1_1] + cumsum[y1_1, x1_1]
+        
+        # Max neighbors in 9x9 is 80 (excluding the center pixel itself)
+        neighbors = (window_sums - mask.astype(np.int32)).clip(min=0)
+        
+        match_neighbors = neighbors[mask]
+        # Square the density to heavily penalize thin bridges and frayed edges
+        score = ( (match_neighbors / 80.0) ** 2 ).mean() * 100.0
+        return float(score)
+
+    def _calculate_continuity_score(self, mask: np.ndarray) -> float:
+        """Measure continuity: largest connected component ratio and surface smoothness (0-100).
+        Penalizes jaggedness and 'perforated' patterns with many internal holes.
+        """
+        if not mask.any():
+            return 0.0
+        
+        area = mask.sum()
+        
+        # 1. Connectivity Ratio
+        y_idx, x_idx = np.nonzero(mask)
+        unvisited = set(zip(y_idx, x_idx))
+        max_cc_area = 0
+        while unvisited:
+            start_node = unvisited.pop()
+            queue = [start_node]
+            cc_area = 0
+            while queue:
+                cy, cx = queue.pop()
+                cc_area += 1
+                for ny, nx in ((cy-1, cx), (cy+1, cx), (cy, cx-1), (cy, cx+1)):
+                    if (ny, nx) in unvisited:
+                        unvisited.remove((ny, nx))
+                        queue.append((ny, nx))
+            if cc_area > max_cc_area:
+                max_cc_area = cc_area
+        
+        connectivity = max_cc_area / area
+        
+        # 2. Smoothness / Jaggedness (Perimeter-to-Area)
+        # Theoretically perfect smoothness (circle) has perimeter 2*sqrt(pi*area)
+        # We penalize departure from 'ideal' shape density
+        eroded = mask.copy()
+        eroded[:-1, :] &= mask[1:, :]
+        eroded[1:, :] &= mask[:-1, :]
+        eroded[:, :-1] &= mask[:, 1:]
+        eroded[:, 1:] &= mask[:, :-1]
+        perimeter = np.count_nonzero(mask ^ eroded)
+        
+        # min_perim for a circle
+        min_perim = 2.0 * np.sqrt(np.pi * area)
+        # Jaggedness factor (0 is perfect, higher is messier)
+        # We normalize by the expected complexity of the item (e.g. 15 for Karambit)
+        # but here we use a general sensitivity factor
+        jaggedness = max(0.0, (perimeter / min_perim) - 1.0)
+        
+        # Penalty increases as jaggedness goes up. 
+        # For Urban Masked, we are more lenient (factor of 40 instead of 20)
+        smoothness_factor = 1.0 / (1.0 + (jaggedness / 40.0))
+        
+        # 3. Island Count Penalty
+        # Premium patterns should be unified. Each separate piece (island) 
+        # adds a small deduction to the continuity score.
+        y, x = np.nonzero(mask)
+        unvisited = set(zip(y, x))
+        islands = 0
+        while unvisited:
+            islands += 1
+            node = unvisited.pop()
+            q = [node]
+            while q:
+                cy, cx = q.pop()
+                for ny, nx in ((cy-1, cx), (cy+1, cx), (cy, cx-1), (cy, cx+1)):
+                    if (ny, nx) in unvisited:
+                        unvisited.remove((ny, nx))
+                        q.append((ny, nx))
+        
+        # Collector's factor: 2000 is now the baseline for Karambits.
+        island_factor = max(0.0, 1.0 - (islands / 2000.0))
+        
+        score = connectivity * smoothness_factor * island_factor * 100.0
+        return float(score)
+
+    # helpers ----------------------------------------------------------------
+
+    def _matches(self, r: int, g: int, b: int) -> bool:
+        """Single-pixel match — kept for compatibility / eyedropper use."""
+        h, s, v = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)
+        hue = (h * 360.0) % 360.0
+        if self.hue_min <= self.hue_max:
+            hue_ok = self.hue_min <= hue <= self.hue_max
+        else:
+            hue_ok = hue >= self.hue_min or hue <= self.hue_max
+        sat_ok = self.sat_min <= s * 100.0 <= self.sat_max
+        val_ok = self.val_min <= v * 100.0 <= self.val_max
+        return hue_ok and sat_ok and val_ok
+
+    def pick_color(self, x: int, y: int) -> Tuple[float, float, float] | None:
+        """Return (hue°, sat%, val%) of the preview pixel at (x, y), or None."""
+        if self.preview_img is None:
+            return None
+        img = self.preview_img.convert("RGBA")
+        try:
+            r, g, b, a = img.getpixel((x, y))
+        except IndexError:
+            return None
+        if a == 0:
+            return None
+        h, s, v = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)
+        return (h * 360.0) % 360.0, s * 100.0, v * 100.0
+
+    # exported data ----------------------------------------------------------
+
+    def preview_pixmap(self) -> QtGui.QPixmap:
+        return self._to_pixmap(self.preview_img)
+
+    def overlay_pixmap(self) -> QtGui.QPixmap:
+        if self.preview_img is None:
+            return QtGui.QPixmap()
+        if self.overlay_img is None:
+            return self.preview_pixmap()
+        merged = Image.alpha_composite(self.preview_img.convert("RGBA"), self.overlay_img)
+        return self._to_pixmap(merged)
+
+    @staticmethod
+    def _to_pixmap(image: Image.Image | None) -> QtGui.QPixmap:
+        if image is None:
+            return QtGui.QPixmap()
+        buffer = image.tobytes("raw", "RGBA")
+        qt_image = QtGui.QImage(buffer, image.width, image.height, QtGui.QImage.Format_RGBA8888)
+        return QtGui.QPixmap.fromImage(qt_image)
+
+    # exclusions -------------------------------------------------------------
+
+    def set_exclusions(self, shapes: list[dict[str, object]], ref_size: Tuple[int, int] | None = None) -> None:
+        copied: list[dict[str, object]] = []
+        for shape in shapes:
+            kind = shape.get("kind")
+            if kind == "rect":
+                coords = tuple(shape.get("coords", (0, 0, 0, 0)))  # type: ignore[assignment]
+                copied.append({"kind": "rect", "coords": tuple(int(c) for c in coords)})
+            elif kind == "polygon":
+                pts = shape.get("points", [])
+                copied.append({"kind": "polygon", "points": [(int(x), int(y)) for x, y in pts]})
+        self.exclude_shapes = copied
+        
+        if ref_size:
+            self.exclude_ref_size = ref_size
+        elif self.preview_img:
+            self.exclude_ref_size = self.preview_img.size
+        else:
+            self.exclude_ref_size = None
+            
+        self._cached_mask = None  # Invalidate cache
+        self._cached_mask_size = None
+        self._rebuild_overlay()
+
+    def _build_exclusion_mask(self, size: Tuple[int, int]) -> Image.Image | None:
+        if not self.exclude_shapes:
+            return None
+        
+        target_w, target_h = size
+        ref_w, ref_h = self.exclude_ref_size or size
+        sx = target_w / ref_w if ref_w > 0 else 1.0
+        sy = target_h / ref_h if ref_h > 0 else 1.0
+
+        mask = Image.new("L", size, 0)
+        draw = ImageDraw.Draw(mask)
+        for shape in self.exclude_shapes:
+            kind = shape.get("kind")
+            if kind == "rect":
+                x0, y0, x1, y1 = shape["coords"]  # type: ignore[index]
+                draw.rectangle([x0 * sx, y0 * sy, x1 * sx, y1 * sy], fill=255)
+            elif kind == "polygon":
+                points = shape.get("points", [])
+                if len(points) >= 3:
+                    scaled_pts = [(int(x * sx), int(y * sy)) for x, y in points]
+                    draw.polygon(scaled_pts, fill=255)
+        return mask
+
+    def set_overlay_color(self, hex_code: str) -> None:
+        """Set the RGB channels for the match overlay from a hex string."""
+        if not hex_code.startswith("#") or len(hex_code) not in (7, 9):
+            return
+        try:
+            self.overlay_r = int(hex_code[1:3], 16)
+            self.overlay_g = int(hex_code[3:5], 16)
+            self.overlay_b = int(hex_code[5:7], 16)
+            if self.preview_img:
+                self._rebuild_overlay()
+        except ValueError:
+            pass
+
+    def _build_exclusion_mask_numpy(self, size: Tuple[int, int]) -> np.ndarray:
+        """Return a boolean (H, W) mask — True where pixels are excluded."""
+        if self._cached_mask is not None and self._cached_mask_size == size:
+            return self._cached_mask
+
+        w, h = size
+        if not self.exclude_shapes:
+            mask = np.zeros((h, w), dtype=bool)
+        else:
+            pil_mask = self._build_exclusion_mask(size)
+            if pil_mask is None:
+                mask = np.zeros((h, w), dtype=bool)
+            else:
+                mask = np.asarray(pil_mask, dtype=bool)
+
+        self._cached_mask = mask
+        self._cached_mask_size = size
+        return mask
+
+    def set_exclude_bg_color(self, hex_code: str, tolerance: int = 5) -> None:
+        """Set the RGB channels for background exclusion from a hex string."""
+        self.exclude_bg_tolerance = tolerance
+        if not hex_code.startswith("#") or len(hex_code) not in (7, 9):
+            return
+        try:
+            r = int(hex_code[1:3], 16)
+            g = int(hex_code[3:5], 16)
+            b = int(hex_code[5:7], 16)
+            self.exclude_bg_rgb = (r, g, b)
+        except ValueError:
+            pass
+
+    def get_export_params(self) -> dict:
+        """Extract all parameters needed for headless batch processing.
+
+        Called once before a batch export so that each worker receives
+        a plain dict instead of re-reading instance attributes.
+        """
+        return {
+            "hue_min": float(self.hue_min),
+            "hue_max": float(self.hue_max),
+            "sat_min": float(self.sat_min),
+            "sat_max": float(self.sat_max),
+            "val_min": float(self.val_min),
+            "val_max": float(self.val_max),
+            "exclude_bg": self.exclude_bg,
+            "exclude_bg_rgb": self.exclude_bg_rgb,
+            "exclude_bg_tolerance": self.exclude_bg_tolerance,
+            "prefer_dark": self.prefer_dark,
+            "exclude_shapes": self.exclude_shapes,
+            "exclude_ref_size": self.exclude_ref_size,
+            "weights": self.weights,
+        }
+
+    @property
+    def exclude_bg_color_hex(self) -> str:
+        r, g, b = self.exclude_bg_rgb
+        return f"#{r:02x}{g:02x}{b:02x}"
+
+    @property
+    def overlay_color_hex(self) -> str:
+        return f"#{self.overlay_r:02x}{self.overlay_g:02x}{self.overlay_b:02x}"

app/qt/pattern_puller.py

@@ -0,0 +1,192 @@
+"""Dialog and worker thread for batch downloading CSGOSkins patterns."""
+
+from __future__ import annotations
+
+import re
+import time
+import urllib.request
+import urllib.error
+from pathlib import Path
+
+from PySide6 import QtCore, QtWidgets, QtGui
+
+from app.i18n import I18nMixin
+import concurrent.futures
+
+class PatternDownloadWorker(QtCore.QThread):
+    progress = QtCore.Signal(int, int)  # current, total
+    status = QtCore.Signal(str)         # textual update
+    finished = QtCore.Signal(bool)      # True if Success, False if Interrupted/Error
+    error = QtCore.Signal(str)          # Error message
+
+    def __init__(self, slug: str, save_dir: Path, parent: QtCore.QObject | None = None) -> None:
+        super().__init__(parent)
+        self.slug = slug
+        self.save_dir = save_dir
+        self.total_seeds = 1000
+
+    def _download_seed(self, seed: int) -> tuple[bool, str | None]:
+        url = f"https://cdn.csgoskins.gg/public/images/patterns/v1/{self.slug}/{seed}.png"
+        filename = self.save_dir / f"{seed}.png"
+
+        if filename.exists():
+            try:
+                from PIL import Image
+                with Image.open(filename) as img:
+                    img.verify()
+                return True, None
+            except Exception:
+                filename.unlink(missing_ok=True)
+
+        try:
+            req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0 ICRA/1.0'})
+            with urllib.request.urlopen(req, timeout=10) as response:
+                with open(filename, 'wb') as f:
+                    f.write(response.read())
+            
+            try:
+                from PIL import Image
+                with Image.open(filename) as img:
+                    img.verify()
+                return True, None
+            except Exception:
+                filename.unlink(missing_ok=True)
+                return False, "Downloaded file is invalid/corrupt"
+        except urllib.error.HTTPError as e:
+            return False, f"HTTP {e.code}"
+        except Exception as e:
+            filename.unlink(missing_ok=True)
+            return False, f"Network error: {e}"
+
+    def run(self) -> None:
+        self.save_dir.mkdir(parents=True, exist_ok=True)
+        completed = 0
+
+        # Validate seed 1 synchronously first to avoid spawning 1000 threads for invalid slugs
+        success, error_msg = self._download_seed(1)
+        if not success and error_msg in ("HTTP 403", "HTTP 404"):
+            self.error.emit(f"Failed to fetch seed 1. Does '{self.slug}' have patterns?")
+            self.finished.emit(False)
+            return
+        
+        completed += 1
+        self.progress.emit(completed, self.total_seeds)
+
+        # Download the rest concurrently
+        with concurrent.futures.ThreadPoolExecutor(max_workers=20) as executor:
+            future_to_seed = {executor.submit(self._download_seed, seed): seed for seed in range(2, self.total_seeds + 1)}
+            
+            for future in concurrent.futures.as_completed(future_to_seed):
+                if self.isInterruptionRequested():
+                    self.status.emit("Download cancelled. Waiting for threads to finish...")
+                    executor.shutdown(wait=False, cancel_futures=True)
+                    self.finished.emit(False)
+                    return
+
+                seed = future_to_seed[future]
+                completed += 1
+                success, error = future.result()
+                
+                if success:
+                    self.status.emit(f"Downloaded seed {seed}/{self.total_seeds}")
+                else:
+                    self.status.emit(f"Skipped seed {seed} ({error})")
+                
+                self.progress.emit(completed, self.total_seeds)
+
+        self.status.emit("Download complete!")
+        self.finished.emit(True)
+
+
+class PatternPullerDialog(QtWidgets.QDialog, I18nMixin):
+    """Dialog for extracting patterns from CSGOSkins.gg URLs."""
+
+    def __init__(self, language: str, parent: QtWidgets.QWidget | None = None) -> None:
+        super().__init__(parent)
+        self.init_i18n(language)
+        self.setWindowTitle(self._t("dialog.puller_title", default="Pull Pattern Images"))
+        self.setMinimumWidth(450)
+        self._worker: PatternDownloadWorker | None = None
+        self._build_ui()
+
+    def _build_ui(self) -> None:
+        layout = QtWidgets.QVBoxLayout(self)
+        layout.setSpacing(12)
+
+        instruction_label = QtWidgets.QLabel(self._t("dialog.puller_instruction", default="Paste a CSGOSkins.gg item URL:"))
+        layout.addWidget(instruction_label)
+
+        self.url_input = QtWidgets.QLineEdit()
+        self.url_input.setPlaceholderText("https://csgoskins.gg/items/glock-18-trace-lock")
+        layout.addWidget(self.url_input)
+
+        self.status_label = QtWidgets.QLabel("")
+        self.status_label.setStyleSheet("color: palette(window-text); font-style: italic;")
+        layout.addWidget(self.status_label)
+
+        self.progress_bar = QtWidgets.QProgressBar()
+        self.progress_bar.setRange(0, 1000)
+        self.progress_bar.setValue(0)
+        layout.addWidget(self.progress_bar)
+
+        button_layout = QtWidgets.QHBoxLayout()
+        self.start_btn = QtWidgets.QPushButton(self._t("dialog.puller_start", default="Start Download"))
+        self.cancel_btn = QtWidgets.QPushButton(self._t("dialog.puller_cancel", default="Cancel"))
+        
+        self.start_btn.clicked.connect(self._on_start_clicked)
+        self.cancel_btn.clicked.connect(self._on_cancel_clicked)
+
+        button_layout.addWidget(self.start_btn)
+        button_layout.addWidget(self.cancel_btn)
+        layout.addLayout(button_layout)
+
+    def _extract_slug(self, url: str) -> str | None:
+        # Match https://csgoskins.gg/items/SLUG
+        match = re.search(r"csgoskins\.gg/items/([^/?#]+)", url)
+        if match:
+            return match.group(1).lower()
+        return None
+
+    def _on_start_clicked(self) -> None:
+        url = self.url_input.text().strip()
+        slug = self._extract_slug(url)
+        
+        if not slug:
+            QtWidgets.QMessageBox.warning(self, "Error", self._t("dialog.puller_invalid_url", default="Invalid URL format."))
+            return
+
+        save_dir = Path("analyses") / slug / "images"
+
+        self.start_btn.setEnabled(False)
+        self.url_input.setEnabled(False)
+        self.progress_bar.setValue(0)
+        self.status_label.setText("Starting download...")
+
+        self._worker = PatternDownloadWorker(slug=slug, save_dir=save_dir, parent=self)
+        self._worker.progress.connect(self._on_progress)
+        self._worker.status.connect(self.status_label.setText)
+        self._worker.error.connect(self._on_error)
+        self._worker.finished.connect(self._on_finished)
+        self._worker.start()
+
+    def _on_cancel_clicked(self) -> None:
+        if self._worker and self._worker.isRunning():
+            self._worker.requestInterruption()
+            self.cancel_btn.setEnabled(False)
+            self.status_label.setText("Cancelling...")
+        else:
+            self.reject() # Close dialog if not downloading
+
+    def _on_progress(self, current: int, total: int) -> None:
+        self.progress_bar.setValue(current)
+
+    def _on_error(self, message: str) -> None:
+        QtWidgets.QMessageBox.warning(self, "Error", message)
+
+    def _on_finished(self, success: bool) -> None:
+        self.start_btn.setEnabled(True)
+        self.url_input.setEnabled(True)
+        self.cancel_btn.setEnabled(True)
+        self._worker = None
+        if success:
+            QtWidgets.QMessageBox.information(self, "Done", self._t("dialog.puller_success", default="All patterns downloaded successfully!"))

config.toml

@@ -3,16 +3,38 @@
 language = "en"
 
 [options]
-# Set to true to clear exclusion shapes whenever the image changes.
+# Set to true to clear exclusion shapes whenever the image changes in the preview viewer.
 reset_exclusions_on_image_change = false
 
+# Hex color code for the match overlay (e.g. "#ff0000" for Red, "#00ff00" for Green)
+# This is the color that paints over pixels that successfully match your HSV ranges.
+overlay_color = "#ff0000"
+
+# Hex color code for the background to be excluded (default #1f2937)
+# This is useful for automatically removing flat background colors from UI screenshots
+# or web scrapings before the analysis runs.
+exclude_bg_color = "#1f2937"
+
+# Tolerance for background color matching (0-255, default 5)
+# A higher value will exclude pixels that are "close" to the hex color above, allowing
+# you to bypass slight compression artifacts or noise in the image background.
+exclude_bg_tolerance = 5
+
 [defaults]
-# Override any of the following keys to tweak the initial slider values:
+# Override any of the following to tweak the initial slider values upon application start.
-# hue_min, hue_max, sat_min, val_min, val_max accept floating point numbers.
+hue_min = 250.0  # (0-360) Starting Hue for the target color range
-# alpha accepts an integer between 0 and 255.
+hue_max = 310.0  # (0-360) Ending Hue for the target color range
-hue_min = 250.0
+sat_min = 15.0   # (0-100) Minimum Saturation percentage
-hue_max = 310.0
+sat_max = 100.0  # (0-100) Maximum Saturation percentage
-sat_min = 15.0
+val_min = 15.0   # (0-100) Minimum Value/Brightness percentage
-val_min = 15.0
+val_max = 100.0  # (0-100) Maximum Value/Brightness percentage
-val_max = 100.0
+alpha = 150      # (0-255) Opacity of the red overlay in the UI preview
-alpha = 120
+
+[weights]
+# Contribution of each measurement to the final Composite Score (0-100%).
+match_all = 20   # % of the total visible image that matches
+match_keep = 30  # % of the non-excluded area that matches (the most important area)
+brightness = 10  # % Importance of Vibrance (or Darkness if "Prefer Darkness" is on)
+grouping = 10    # % Importance of pixel clustering (rewarding solid color blocks)
+continuity = 15  # % Quality of the largest connected surface area
+border = 15      # % Quality of the transition edges (penalizing dark/hard outlines)

pyproject.toml

@@ -1,13 +1,15 @@
 [project]
 name = "icra"
 version = "0.1.0"
-description = "Interactive Color Range Analyzer (ICRA) for Tkinter"
+description = "Interactive Color Range Analyzer (ICRA) desktop app (PySide6)"
 readme = "README.md"
 authors = [{ name = "ICRA contributors" }]
-license = "MIT"
+license = "GPL-3.0-only"
 requires-python = ">=3.10"
 dependencies = [
+    "numpy>=1.26",
     "pillow>=10.0.0",
+    "PySide6>=6.7",
 ]
 
 [project.scripts]
@@ -21,3 +23,8 @@ include = ["app"]
 
 [tool.setuptools.package-data]
 "app" = ["assets/logo.png", "lang/*.toml"]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.0.2",
+]

tests/test_file_paths.py

@@ -0,0 +1,72 @@
+import pytest
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+from PySide6 import QtWidgets
+from app.qt.main_window import MainWindow
+from app.qt.pattern_puller import PatternDownloadWorker
+
+
+@pytest.fixture
+def qt_app():
+    from PySide6.QtWidgets import QApplication
+    import sys
+    app = QApplication.instance()
+    if app is None:
+        app = QApplication(sys.argv)
+    yield app
+
+
+def test_export_settings_path_generation(qt_app, tmp_path):
+    mock_widget = QtWidgets.QWidget()
+    mock_widget.title_label = MagicMock()
+    mock_widget.apply_theme = MagicMock()
+    with patch('app.qt.main_window.TitleBar', return_value=mock_widget):
+        window = MainWindow(language="en", defaults={}, reset_exclusions=False)
+    
+    with patch("PySide6.QtWidgets.QFileDialog.getSaveFileName", return_value=("", "")) as mock_get_save:
+        
+        # Test case 1: New subfolder structure (analyses/m4a1-s/images/1.png)
+        root = tmp_path / "analyses" / "m4a1_s"
+        img_dir = root / "images"
+        img_dir.mkdir(parents=True)
+        img_path = img_dir / "1.png"
+        
+        window._current_image_path = img_path
+        window.export_settings()
+        
+        # Verify settings directory was created
+        assert (root / "settings").exists()
+        
+        # Verify default path given to QFileDialog
+        args, kwargs = mock_get_save.call_args
+        # args[2] is the default path string
+        expected_path = str(root / "settings" / "icra_settings_m4a1_s.json")
+        assert args[2] == expected_path
+
+
+def test_export_folder_path_generation(qt_app, tmp_path):
+    mock_widget = QtWidgets.QWidget()
+    mock_widget.title_label = MagicMock()
+    mock_widget.apply_theme = MagicMock()
+    with patch('app.qt.main_window.TitleBar', return_value=mock_widget):
+        window = MainWindow(language="en", defaults={}, reset_exclusions=False)
+
+    with patch("PySide6.QtWidgets.QFileDialog.getSaveFileName", return_value=("", "")) as mock_get_save:
+        # Mock processor paths
+        root = tmp_path / "analyses" / "m4a1_s"
+        img_dir = root / "images"
+        img_dir.mkdir(parents=True)
+        window.processor.preview_paths = [img_dir / "1.png"]
+        
+        window.export_folder()
+        
+        assert (root / "results").exists()
+        args, kwargs = mock_get_save.call_args
+        expected_path = str(root / "results" / "icra_results_m4a1_s.csv")
+        assert args[2] == expected_path
+
+
+def test_pattern_download_worker_dir(tmp_path):
+    worker = PatternDownloadWorker(slug="test-slug", save_dir=tmp_path / "analyses" / "test-slug" / "images")
+    assert worker.save_dir == tmp_path / "analyses" / "test-slug" / "images"

tests/test_i18n.py

@@ -0,0 +1,73 @@
+import pytest
+from pathlib import Path
+import re
+
+# Base directory for language files
+LANG_DIR = Path(__file__).resolve().parent.parent / "app" / "lang"
+
+def get_structure(file_path: Path):
+    """
+    Returns a list of (line_number, key/header) for a TOML file.
+    Only captures keys and section headers, ignoring the values.
+    """
+    structure = []
+    # Regex to capture "key" = or [header]
+    key_pattern = re.compile(r'^\s*"?([^"\s=]+)"?\s*=')
+    header_pattern = re.compile(r'^\s*\[([^\]]+)\]')
+    
+    with open(file_path, "r", encoding="utf-8") as f:
+        for i, line in enumerate(f, 1):
+            line = line.strip()
+            if not line:
+                structure.append((i, "<empty>"))
+                continue
+            
+            # Check for header [section]
+            header_match = header_pattern.match(line)
+            if header_match:
+                structure.append((i, f"[{header_match.group(1)}]"))
+                continue
+                
+            # Check for key "name" =
+            key_match = key_pattern.match(line)
+            if key_match:
+                structure.append((i, key_match.group(1)))
+                continue
+                
+            # Comments or anything else
+            structure.append((i, "<other/comment>"))
+            
+    return structure
+
+def test_i18n_files_exist():
+    assert LANG_DIR.exists(), f"Language directory {LANG_DIR} not found"
+    en_file = LANG_DIR / "en.toml"
+    assert en_file.exists(), "English language file (en.toml) must exist as baseline"
+
+def test_i18n_synchronization():
+    """
+    Ensures all language files have the same keys/headers on the same lines
+    as the baseline en.toml.
+    """
+    en_path = LANG_DIR / "en.toml"
+    en_structure = get_structure(en_path)
+    
+    other_files = list(LANG_DIR.glob("*.toml"))
+    other_files.remove(en_path)
+    
+    for lang_file in other_files:
+        lang_name = lang_file.name
+        lang_structure = get_structure(lang_file)
+        
+        # Check line count
+        assert len(lang_structure) == len(en_structure), \
+            f"{lang_name} length mismatch: expected {len(en_structure)} lines, got {len(lang_structure)}"
+            
+        # Check line-by-line sync
+        for (en_line, en_key), (lang_line, lang_key) in zip(en_structure, lang_structure):
+            assert en_key == lang_key, \
+                f"Sync error at {lang_name}:{lang_line}. Expected '{en_key}', found '{lang_key}'"
+
+if __name__ == "__main__":
+    # Allow running directly as a script
+    pytest.main([__file__])

tests/test_image_processor.py

@@ -0,0 +1,174 @@
+import numpy as np
+import pytest
+from PIL import Image
+
+from app.qt.image_processor import Stats, _rgb_to_hsv_numpy, QtImageProcessor
+
+
+def test_stats_summary():
+    s = Stats(
+        matches_all=50, total_all=100,
+        matches_keep=40, total_keep=80,
+        matches_excl=10, total_excl=20
+    )
+    
+    def mock_t(key, **kwargs):
+        if key == "stats.placeholder":
+            return "Placeholder"
+        if not kwargs:
+            return key
+        return f"{kwargs['with_pct']:.1f} {kwargs['without_pct']:.1f} {kwargs['excluded_pct']:.1f}"
+
+    weights = {"match_all": 30, "match_keep": 50, "brightness": 10, "grouping": 10}
+    res = s.summary(mock_t, weights)
+    # with_pct: 40/80 = 50.0
+    # without_pct: 50/100 = 50.0
+    # excluded_pct: 20/100 = 20.0
+    assert res == "50.0 50.0 20.0"
+
+def test_stats_empty():
+    s = Stats()
+    weights = {"match_all": 30, "match_keep": 50, "brightness": 10, "grouping": 10}
+    assert s.summary(lambda k, **kw: "Empty", weights) == "Empty"
+
+
+def test_rgb_to_hsv_numpy():
+    # Test red
+    arr = np.array([[[1.0, 0.0, 0.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [0.0, 100.0, 100.0])
+
+    # Test green
+    arr = np.array([[[0.0, 1.0, 0.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [120.0, 100.0, 100.0])
+
+    # Test blue
+    arr = np.array([[[0.0, 0.0, 1.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [240.0, 100.0, 100.0])
+
+    # Test white
+    arr = np.array([[[1.0, 1.0, 1.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [0.0, 0.0, 100.0])
+
+    # Test black
+    arr = np.array([[[0.0, 0.0, 0.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [0.0, 0.0, 0.0])
+
+
+def test_qt_processor_matches_legacy():
+    proc = QtImageProcessor()
+    proc.hue_min = 350
+    proc.hue_max = 10
+    proc.sat_min = 50
+    proc.val_min = 50
+    proc.val_max = 100
+
+    # Red wraps around 360, so H=0 -> ok
+    assert proc._matches(255, 0, 0) is True
+    # Green H=120 -> fail
+    assert proc._matches(0, 255, 0) is False
+    # Dark red S=100, V=25 -> fail because val_min=50
+    assert proc._matches(64, 0, 0) is False
+
+def test_set_overlay_color():
+    proc = QtImageProcessor()
+    # default red
+    assert proc.overlay_r == 255
+    assert proc.overlay_g == 0
+    assert proc.overlay_b == 0
+
+    proc.set_overlay_color("#00ff00")
+    assert proc.overlay_r == 0
+    assert proc.overlay_g == 255
+    assert proc.overlay_b == 0
+
+    # invalid hex does nothing
+    proc.set_overlay_color("blue")
+    assert proc.overlay_r == 0
+
+def test_coordinate_scaling():
+    proc = QtImageProcessor()
+    
+    # Create a 200x200 image where everything is red
+    red_img_small = Image.new("RGBA", (200, 200), (255, 0, 0, 255))
+    proc.orig_img = red_img_small # satisfy preview logic
+    proc.preview_img = red_img_small 
+    
+    # All red. Thresholds cover all red.
+    proc.hue_min = 0
+    proc.hue_max = 360
+    proc.sat_min = 10
+    proc.val_min = 10
+    
+    # Exclude the right half (100-200)
+    proc.set_exclusions([{"kind": "rect", "coords": (100, 0, 200, 200)}])
+    
+    # Verify small stats
+    s_small = proc.get_stats_headless(red_img_small)
+    # total=40000, keep=20000, excl=20000
+    assert s_small.total_all == 40000
+    assert s_small.total_keep == 20000
+    assert s_small.total_excl == 20000
+    
+    # Now check on a 1000x1000 image (5x scale)
+    red_img_large = Image.new("RGBA", (1000, 1000), (255, 0, 0, 255))
+    s_large = proc.get_stats_headless(red_img_large)
+    
+    # total=1,000,000. If scaling works, keep=500,000, excl=500,000.
+    # If scaling FAILED, the mask is still 100x200 (20,000 px) -> excl=20,000.
+    assert s_large.total_all == 1000000
+    assert s_large.total_keep == 500000
+    assert s_large.total_excl == 500000
+
+def test_calculate_grouping_score():
+    proc = QtImageProcessor()
+    
+    # 1. Empty mask
+    mask_empty = np.zeros((20, 20), dtype=bool)
+    assert proc._calculate_grouping_score(mask_empty) == 0.0
+    
+    # 2. Single mask pixel (0 neighbors)
+    mask_single = np.zeros((20, 20), dtype=bool)
+    mask_single[10, 10] = True
+    assert proc._calculate_grouping_score(mask_single) == 0.0
+    
+    # 3. 2x2 block
+    # each pixel in 2x2 has 3 neighbors in 3x3, 3 neighbors in 5x5, 3 neighbors in 9x9.
+    # score = ((3/80)^2) * 100
+    expected_2x2 = ((3/80.0)**2) * 100.0
+    mask_block = np.zeros((20, 20), dtype=bool)
+    mask_block[10:12, 10:12] = True
+    assert pytest.approx(proc._calculate_grouping_score(mask_block)) == expected_2x2
+    
+    # 4. 9x9 block
+    # center pixel has 80 neighbors (100% density).
+    # many pixels have high density.
+    mask_9x9 = np.zeros((20, 20), dtype=bool)
+    mask_9x9[5:14, 5:14] = True
+    res_9x9 = proc._calculate_grouping_score(mask_9x9)
+    assert res_9x9 > expected_2x2
+    # For a 9x9 block, the center pixel is 100%. Boundary pixels are less.
+    # 1 center pixel = 80/80 = 1.0. 
+    # Overall it should be a healthy percentage.
+    assert res_9x9 > 10.0 # significant grouping
+
+def test_export_worker_error():
+    from app.qt.image_processor import _export_worker
+    
+    # 1. Provide a missing file to trigger an exception during Image.open()
+    res1 = _export_worker(("missing_file.png", {
+        "hue_min": 0, "hue_max": 360, "sat_min": 0, "sat_max": 100,
+        "val_min": 0, "val_max": 100, "exclude_bg": False,
+        "exclude_bg_rgb": (0, 0, 0), "exclude_bg_tolerance": 5,
+        "prefer_dark": False, "exclude_shapes": [], "exclude_ref_size": None,
+        "weights": {}
+    }))
+    assert res1 == ("missing_file.png", None, None, None, None, None)
+    
+    # 2. Provide an empty params dict to trigger KeyError before opening image
+    res2 = _export_worker(("dummy.png", {}))
+    assert res2 == ("dummy.png", None, None, None, None, None)