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Author SHA1 Message Date
lukas 9ff56ce7ef Finalize documentation: Simplified layout and GPLv3 License 2026-03-23 21:28:14 +01:00
lukas 5a9cbfc943 Update default alpha value 2026-03-23 21:03:49 +01:00
lukas ef648cc676 Implement grouping score, customizable export weights, and fix color selection bug 2026-03-23 21:00:16 +01:00
lukas 1c48a53c19 Implement background exclusion and refactor folder structure
- Added configurable background exclusion (#1f2937) with tolerance
- Implemented alpha thresholding (>= 128) to eliminate edge artifacts
- Refactored folder structure into analyses/[slug]/images, settings, and results
- Updated pattern puller to skip existing images and handle network errors
- Updated .gitignore and automated tests for path integrity
2026-03-22 20:09:05 +01:00
lukas ff9dec0eff Add saturation max slider to UI and image processing logic 2026-03-22 17:42:26 +01:00
lukas daf226a80f del images 2026-03-13 18:42:42 +01:00
lukas 7f219885bf Feature: Advanced Navigation & Composite Scoring
- Added direct pattern jump input field (Ctrl+J behavior without hotkey)

- Implemented Composite Score: 35% match, 55% excl match, 10% brightness

- Added 'Prefer darkness' toggle to invert brightness score

- Added checkmarks to 'Prefer darkness' and 'Toggle free-draw' menus

- Added dynamic Darkness/Brightness text parsing to UI and CSV export
2026-03-11 14:48:24 +01:00
lukas acfcf99d15 Feature: Settings Import/Export and UI Polish
- Implemented JSON-based settings import/export with smart scaling

- Locked image overlay color to Red (#ff0000) permanently

- Decoupled analyzer target color from display mask color

- Added menu separators for better organization

- Fixed overlay synchronization and scaling bugs during import
2026-03-10 18:32:14 +01:00
lukas c278ddf458 Optimize: export speed, fix scaling bug, and improve workflow
- Parallelized folder export for massive speedup

- Implemented exclusion mask caching

- Fixed statistics discrepancy by scaling exclusion coordinates

- Hardcoded CSV format to semicolon separator and comma decimal

- Defaulted file/folder dialogs to images/ directory

- Added unit test for coordinate scaling
2026-03-10 17:59:49 +01:00
lukas 49b436a2f6 Update .gitignore 2026-03-10 17:33:42 +01:00
lukas ac79d0e5dc Feature: add pattern scraper and optimize batch export
- Added Pull Pattern Images tool with parallel background downloading

- Optimized Export Folder Stats to run headlessly (massive speedup)

- Dynamically name exported CSVs based on source folder

- Fixed German CSV localization and UTF-8 BOM

- Updated README and walkthrough
2026-03-10 17:28:15 +01:00
lukas 635b65b7e1 Docs: rewrite README.md for complete PySide6 transition 2026-03-10 16:56:01 +01:00
lukas 551f5a6b8f Replace toolbar with categorized menu system, standardize 'color', and improve CSV export
- Migrated toolbar to QMenuBar to fix UI crowding

- Categorized actions into File, Edit, Tools, and View

- Added dynamic theming to QMenuBar and QMenu

- Localized Export CSV delimiter and decimals for German Excel

- Padded exported CSV values for clean plain-text alignment

- Globally standardized the spelling of 'color'

- Removed duplicate code and old Tkinter codebase
2026-03-10 16:54:23 +01:00
58 changed files with 2240 additions and 2144 deletions

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

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@ -0,0 +1,676 @@
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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>.

View File

@ -1,24 +1,63 @@
<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 being reimagined with a <em>PySide6</em> user interface.<br/>
This branch focuses on building a native desktop shell with modern window controls before porting the colour-analysis features.
<strong>Interactive Color Range Analyzer (ICRA)</strong><br/>
A professional desktop application for high-precision color matching, clustering analysis, and batch statistics generation.
</div>
</div>
## Current prototype
- Custom frameless window with minimise / maximise / close controls that hook into Windows natively
- Dark themed layout and basic image preview powered by Qt
- “Open image” workflow that displays the selected asset scaled to the viewport
## Features
- **High-Performance Image Processing:** Native, vectorized NumPy operations for lightning-fast HSV conversion and color matching.
- **Automatic Background Exclusion:** Intelligently ignores background pixels (configurable in `config.toml`) to ensure they don't interfere with your analysis.
- **Grouping Score (Clustering):** A high-performance 9x9 box-sum algorithm that rewards solid "splashes" of color and penalizes thin lines or fragmented noise.
- **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.
- **Import/Export Settings:** Save your HSV ranges, exclusion zones, and weighting preferences to a JSON file and reload them later for consistent analysis across different sessions.
- **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 and a categorized menu bar.
- Window size and position persistence between launches.
- Keyboard shortcuts for rapid workflow.
- **Configurable:** Uses `config.toml` to drive everything from overlay matching colors to default sliders and application language (`en`/`de`).
> ⚠️ Legacy Tk features (sliders, exclusions, folder navigation, stats) are not wired up yet. The goal here is to validate the PySide6 shell first.
## 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.
## 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+
- [uv](https://github.com/astral-sh/uv) for dependency management
- Windows 10/11 recommended (PySide6 build included; Linux/macOS should work but are untested in this branch)
- Works across Windows, macOS, and Linux (requires PySide6 and numpy)
## Setup with uv (PowerShell example)
## Setup with uv
```bash
git clone https://git.lukasmahler.de/lm/ICRA.git
cd ICRA
@ -28,24 +67,30 @@ uv pip install .
uv run icra
```
The app launches directly as a PySide6 GUI—no browser or local web server involved. Use the “Open Image…” button to load a file and test resizing/snap behaviour.
## Running the Test Suite
The core image processing logic and UI data models are rigorously tested using `pytest`.
```bash
uv run pytest tests/ -v
```
## Roadmap (branch scope)
1. Port hue/saturation/value controls to Qt widgets
2. Re-implement exclusion drawing using QPainter overlays
3. Integrate existing image-processing logic (`app/logic`) with the new UI
## Project layout
## Project Layout
```
app/
assets/ # Shared branding
gui/, logic/ # Legacy Tk code kept for reference
qt/ # New PySide6 implementation (main_window, app bootstrap)
config.toml # Historical defaults (unused in the prototype)
main.py # Entry point -> PySide6 launcher
assets/ # Icons and branding
lang/ # Translations (TOML)
qt/ # UI implementation and NumPy processing
tests/ # Unit tests for core analysis
config.toml # User-facing configuration
main.py # Entry point
LICENSE # GNU GPLv3 terms
```
## Development notes
- Quick syntax check: `uv run python -m compileall app main.py`
- Uploaded images are not persisted; the preview uses Qt pixmaps only.
- Contributions welcome—please target this branch with PySide6-specific improvements.
## Development
- **Tests**: Run `uv run pytest tests/ -v` to verify the core logic.
- **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.

View File

@ -2,14 +2,8 @@
from __future__ import annotations
try: # Legacy Tk support remains optional
from .app import ICRAApp, start_app as start_tk_app # type: ignore[attr-defined]
except Exception: # pragma: no cover
ICRAApp = None # type: ignore[assignment]
start_tk_app = None # type: ignore[assignment]
from .qt import create_application as create_qt_app, run as run_qt_app
start_app = run_qt_app
__all__ = ["ICRAApp", "start_tk_app", "create_qt_app", "run_qt_app", "start_app"]
__all__ = ["create_qt_app", "run_qt_app", "start_app"]

View File

@ -1,176 +0,0 @@
"""Application composition root."""
from __future__ import annotations
import ctypes
import platform
import tkinter as tk
from importlib import resources
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:
screen_width = self.root.winfo_screenwidth()
screen_height = self.root.winfo_screenheight()
default_width = int(screen_width * 0.8)
default_height = int(screen_height * 0.8)
default_x = (screen_width - default_width) // 2
default_y = (screen_height - default_height) // 4
self._window_geometry = f"{default_width}x{default_height}+{default_x}+{default_y}"
self._is_maximized = True
self._use_overrideredirect = True
self.root.geometry(f"{screen_width}x{screen_height}+0+0")
self.root.configure(bg="#f2f2f7")
try:
self.root.overrideredirect(True)
except Exception:
try:
self.root.attributes("-type", "splash")
except Exception:
pass
self._window_icon_ref = None
self._apply_window_icon()
self._init_window_chrome()
def _ensure_taskbar_entry(self) -> None:
"""Force the borderless window to show up in the Windows taskbar."""
try:
if platform.system() != "Windows":
return
hwnd = self.root.winfo_id()
if not hwnd:
self.root.after(50, self._ensure_taskbar_entry)
return
GWL_EXSTYLE = -20
WS_EX_TOOLWINDOW = 0x00000080
WS_EX_APPWINDOW = 0x00040000
SWP_NOSIZE = 0x0001
SWP_NOMOVE = 0x0002
SWP_NOZORDER = 0x0004
SWP_FRAMECHANGED = 0x0020
user32 = ctypes.windll.user32 # type: ignore[attr-defined]
shell32 = ctypes.windll.shell32 # type: ignore[attr-defined]
style = user32.GetWindowLongW(hwnd, GWL_EXSTYLE)
new_style = (style & ~WS_EX_TOOLWINDOW) | WS_EX_APPWINDOW
if new_style != style:
user32.SetWindowLongW(hwnd, GWL_EXSTYLE, new_style)
user32.SetWindowPos(
hwnd,
0,
0,
0,
0,
0,
SWP_NOMOVE | SWP_NOSIZE | SWP_NOZORDER | SWP_FRAMECHANGED,
)
app_id = ctypes.c_wchar_p("ICRA.App")
shell32.SetCurrentProcessExplicitAppUserModelID(app_id)
except Exception:
pass
def _apply_window_icon(self) -> None:
try:
icon_resource = resources.files("app.assets").joinpath("logo.png")
with resources.as_file(icon_resource) as icon_path:
icon = tk.PhotoImage(file=str(icon_path))
self.root.iconphoto(False, icon)
self._window_icon_ref = icon
except Exception:
self._window_icon_ref = None
def _init_window_chrome(self) -> None:
"""Configure a borderless window while retaining a taskbar entry."""
try:
self.root.bind("<Map>", self._restore_borderless)
self.root.after(0, self._restore_borderless)
self.root.after(0, self._ensure_taskbar_entry)
except Exception:
pass
def _restore_borderless(self, _event=None) -> None:
try:
if self._use_overrideredirect:
self.root.overrideredirect(True)
self._ensure_taskbar_entry()
except Exception:
pass
def start_app() -> None:
"""Entry point used by the CLI script."""
root = tk.Tk()
app = ICRAApp(root)
root.mainloop()
__all__ = ["ICRAApp", "start_app"]

View File

@ -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",
]

View File

@ -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"]

View File

@ -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"]

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@ -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"]

View File

@ -1,731 +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)
btn_kwargs = {
"bg": bar_bg,
"fg": "#f5f5f5",
"activebackground": "#3a3a40",
"activeforeground": "#ffffff",
"borderwidth": 0,
"highlightthickness": 0,
"relief": "flat",
"font": ("Segoe UI", 10, "bold"),
"cursor": "hand2",
"width": 3,
}
close_btn = tk.Button(title_bar, text="", command=self._close_app, **btn_kwargs)
close_btn.pack(side=tk.RIGHT, padx=6, 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))
max_btn = tk.Button(title_bar, text="", command=self._toggle_maximize_window, **btn_kwargs)
max_btn.pack(side=tk.RIGHT, padx=0, pady=4)
max_btn.bind("<Enter>", lambda _e: max_btn.configure(bg="#2c2c32"))
max_btn.bind("<Leave>", lambda _e: max_btn.configure(bg=bar_bg))
self._max_button = max_btn
min_btn = tk.Button(title_bar, text="", command=self._minimize_window, **btn_kwargs)
min_btn.pack(side=tk.RIGHT, padx=0, pady=4)
min_btn.bind("<Enter>", lambda _e: min_btn.configure(bg="#2c2c32"))
min_btn.bind("<Leave>", lambda _e: min_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)
widget.bind("<Double-Button-1>", lambda _e: self._toggle_maximize_window())
self._update_maximize_button()
def _close_app(self) -> None:
try:
self.root.destroy()
except Exception:
pass
def _start_window_drag(self, event) -> None:
if getattr(self, "_is_maximized", False):
cursor_x, cursor_y = event.x_root, event.y_root
self._toggle_maximize_window(force_state=False)
self.root.update_idletasks()
new_x = self.root.winfo_rootx()
new_y = self.root.winfo_rooty()
self._drag_offset = (cursor_x - new_x, cursor_y - new_y)
return
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}")
if not getattr(self, "_is_maximized", False):
self._remember_window_geometry()
def _remember_window_geometry(self) -> None:
try:
self._window_geometry = self.root.geometry()
except Exception:
pass
def _monitor_work_area(self) -> tuple[int, int, int, int] | None:
try:
import ctypes
from ctypes import wintypes
user32 = ctypes.windll.user32 # type: ignore[attr-defined]
root_x = self.root.winfo_rootx()
root_y = self.root.winfo_rooty()
width = max(self.root.winfo_width(), 1)
height = max(self.root.winfo_height(), 1)
center_x = root_x + width // 2
center_y = root_y + height // 2
class MONITORINFO(ctypes.Structure):
_fields_ = [
("cbSize", wintypes.DWORD),
("rcMonitor", wintypes.RECT),
("rcWork", wintypes.RECT),
("dwFlags", wintypes.DWORD),
]
monitor = user32.MonitorFromPoint(
wintypes.POINT(center_x, center_y), 2 # MONITOR_DEFAULTTONEAREST
)
info = MONITORINFO()
info.cbSize = ctypes.sizeof(MONITORINFO)
if not user32.GetMonitorInfoW(monitor, ctypes.byref(info)):
return None
work = info.rcWork
return work.left, work.top, work.right, work.bottom
except Exception:
return None
def _maximize_window(self) -> None:
self._remember_window_geometry()
work_area = self._monitor_work_area()
if work_area is None:
screen_width = self.root.winfo_screenwidth()
screen_height = self.root.winfo_screenheight()
left = 0
top = 0
width = screen_width
height = screen_height
else:
left, top, right, bottom = work_area
width = max(1, right - left)
height = max(1, bottom - top)
self.root.geometry(f"{width}x{height}+{left}+{top}")
self._is_maximized = True
self._update_maximize_button()
def _restore_window(self) -> None:
geometry = getattr(self, "_window_geometry", None)
if not geometry:
screen_width = self.root.winfo_screenwidth()
screen_height = self.root.winfo_screenheight()
width = int(screen_width * 0.8)
height = int(screen_height * 0.8)
x = (screen_width - width) // 2
y = (screen_height - height) // 4
geometry = f"{width}x{height}+{x}+{y}"
self.root.geometry(geometry)
self._is_maximized = False
self._update_maximize_button()
def _toggle_maximize_window(self, force_state: bool | None = None) -> None:
desired = force_state if force_state is not None else not getattr(self, "_is_maximized", False)
if desired:
self._maximize_window()
else:
self._restore_window()
def _minimize_window(self) -> None:
try:
self._remember_window_geometry()
use_or = getattr(self, "_use_overrideredirect", False)
if use_or and hasattr(self.root, "overrideredirect"):
try:
self.root.overrideredirect(False)
except Exception:
pass
self.root.iconify()
if use_or:
restorer = getattr(self, "_restore_borderless", None)
if callable(restorer):
self.root.after(120, restorer)
elif hasattr(self.root, "overrideredirect"):
self.root.after(120, lambda: self.root.overrideredirect(True)) # type: ignore[arg-type]
except Exception:
pass
def _update_maximize_button(self) -> None:
button = getattr(self, "_max_button", None)
if button is None:
return
symbol = "" if getattr(self, "_is_maximized", False) else ""
button.configure(text=symbol)
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"]

View File

@ -10,6 +10,9 @@
"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."
@ -17,7 +20,7 @@
"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}%"
@ -37,11 +40,15 @@
"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" = "Wertung: {score:.2f}% | Treffer (mit Exkl.): {with_pct:.2f}% | Treffer: {without_pct:.2f}% | {brightness_label}: {brightness:.1f}% | Gruppierung: {grouping:.1f}% | Ausgeschlossen: {excluded_pct:.2f}%"
"stats.brightness_label" = "Helligkeit"
"stats.darkness_label" = "Dunkelheit"
"stats.grouping_label" = "Gruppierung"
"menu.copy" = "Kopieren"
"dialog.info_title" = "Info"
"dialog.error_title" = "Fehler"
@ -49,7 +56,7 @@
"dialog.open_image_title" = "Bild wählen"
"dialog.open_folder_title" = "Ordner mit Bildern wählen"
"dialog.save_overlay_title" = "Overlay 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."
@ -59,4 +66,37 @@
"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.view" = "Ansicht"
"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.total_weight" = "Gesamt:"
"dialog.weight_error" = "Die Summe muss genau 100% sein (aktuell {total}%)."

View File

@ -2,7 +2,7 @@
"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.save_overlay" = "Save overlay"
"toolbar.clear_excludes" = "Clear exclusions"
@ -10,19 +10,22 @@
"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.sample_colour" = "Sample colour 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.color_selected" = "Color chosen: {label} — 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 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}%"
"palette.current" = "Colour:"
"palette.more" = "More colours:"
"status.pick_mode_from_image" = "Color picked from image: Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
"palette.current" = "Color:"
"palette.more" = "More colors:"
"palette.swatch.red" = "Red"
"palette.swatch.orange" = "Orange"
"palette.swatch.yellow" = "Yellow"
@ -37,11 +40,15 @@
"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" = "Score: {score:.2f}% | Matches (w/ excl.): {with_pct:.2f}% | Matches: {without_pct:.2f}% | {brightness_label}: {brightness:.1f}% | Grouping: {grouping:.1f}% | Excluded: {excluded_pct:.2f}%"
"stats.brightness_label" = "Brightness"
"stats.darkness_label" = "Darkness"
"stats.grouping_label" = "Grouping"
"menu.copy" = "Copy"
"dialog.info_title" = "Info"
"dialog.error_title" = "Error"
@ -49,7 +56,7 @@
"dialog.open_image_title" = "Select image"
"dialog.open_folder_title" = "Select folder"
"dialog.save_overlay_title" = "Save overlay 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."
@ -59,4 +66,37 @@
"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.view" = "View"
"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.total_weight" = "Total:"
"dialog.weight_error" = "Weights must sum exactly to 100% (currently {total}%)."

View File

@ -1,25 +1,27 @@
"""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,
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",
"EXCLUDE_BG_TOLERANCE",
"PREVIEW_MAX_SIZE",
"RESET_EXCLUSIONS_ON_IMAGE_CHANGE",
"SUPPORTED_IMAGE_EXTENSIONS",
"ImageProcessingMixin",
"ResetMixin",
]

View File

@ -94,7 +94,12 @@ 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,
}
def _extract_options(data: dict[str, Any]) -> dict[str, Any]:
@ -105,6 +110,15 @@ 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
@ -112,3 +126,6 @@ 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"]

View File

@ -1,485 +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)
if scale <= 0:
scale = 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"]

View File

@ -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"]

View File

@ -5,7 +5,7 @@ from __future__ import annotations
import sys
from pathlib import Path
from PySide6 import QtGui, QtWidgets
from PySide6 import QtCore, QtGui, QtWidgets
from app.logic import DEFAULTS, LANGUAGE, RESET_EXCLUSIONS_ON_IMAGE_CHANGE
from .main_window import MainWindow
@ -46,16 +46,23 @@ def create_application() -> QtWidgets.QApplication:
def run() -> int:
"""Run the PySide6 GUI."""
app = create_application()
from app.logic import OVERLAY_COLOR, EXCLUDE_BG_COLOR, EXCLUDE_BG_TOLERANCE
window = MainWindow(
language=LANGUAGE,
defaults=DEFAULTS.copy(),
reset_exclusions=RESET_EXCLUSIONS_ON_IMAGE_CHANGE,
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:
geometry = primary_screen.availableGeometry()
window.setGeometry(geometry)
window.showMaximized()
else:
window.setGeometry(primary_screen.availableGeometry())
window.showMaximized()
return app.exec()

View File

@ -22,20 +22,48 @@ class Stats:
total_keep: int = 0
matches_excl: int = 0
total_excl: int = 0
brightness_score: float = 0.0
grouping_score: float = 0.0
prefer_dark: bool = False
def summary(self, translate) -> str:
@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
w_all = weights.get("match_all", 30) / 100.0
w_keep = weights.get("match_keep", 50) / 100.0
w_bright = weights.get("brightness", 10) / 100.0
w_group = weights.get("grouping", 10) / 100.0
return (w_all * pct_all +
w_keep * pct_keep +
w_bright * self.effective_brightness +
w_group * self.grouping_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
excluded_match_pct = (self.matches_excl / self.total_excl * 100) if self.total_excl 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,
excluded_pct=excluded_pct,
excluded_match_pct=excluded_match_pct,
)
@ -55,7 +83,8 @@ def _rgb_to_hsv_numpy(arr: np.ndarray) -> np.ndarray:
v = cmax
# Saturation
s = np.where(cmax > 0, delta / cmax, 0.0)
s = np.zeros_like(r)
np.divide(delta, cmax, out=s, where=cmax > 0)
# Hue
h = np.zeros_like(r)
@ -80,10 +109,16 @@ class QtImageProcessor:
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,
@ -91,6 +126,7 @@ class QtImageProcessor:
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"]
@ -98,6 +134,21 @@ class QtImageProcessor:
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": 30,
"match_keep": 50,
"brightness": 10,
"grouping": 10
}
def set_defaults(self, defaults: dict) -> None:
for key in self.defaults:
if key in defaults:
@ -154,16 +205,32 @@ class QtImageProcessor:
if self.orig_img is None:
self.preview_img = None
return
width, height = self.orig_img.size
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 = self.orig_img.resize(size, Image.LANCZOS)
self.preview_img = img_to_process.resize(size, Image.LANCZOS)
def _rebuild_overlay(self) -> None:
"""Build colour-match overlay using vectorized NumPy operations."""
"""Build color-match overlay using vectorized NumPy operations."""
if self.preview_img is None:
self.overlay_img = None
self.stats = Stats()
@ -173,7 +240,18 @@ class QtImageProcessor:
arr = np.asarray(base, dtype=np.float32) # (H, W, 4)
rgb = arr[..., :3] / 255.0
alpha_ch = arr[..., 3] # alpha channel of the image
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%
@ -191,9 +269,10 @@ class QtImageProcessor:
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 > 0)
& (alpha_ch >= 128)
)
# Exclusion mask (same pixel space as preview)
@ -201,8 +280,7 @@ class QtImageProcessor:
keep_match = match_mask & ~excl_mask
excl_match = match_mask & excl_mask
visible = alpha_ch > 0
visible = alpha_ch >= 128
matches_all = int(match_mask[visible].sum())
total_all = int(visible.sum())
matches_keep = int(keep_match[visible].sum())
@ -210,9 +288,18 @@ class QtImageProcessor:
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
brightness = float(val[keep_visible].mean()) if keep_visible.any() else 0.0
# Grouping: measure clustering of match_mask
grouping = self._calculate_grouping_score(keep_match)
# Build overlay image
overlay_arr = np.zeros((base.height, base.width, 4), dtype=np.uint8)
overlay_arr[keep_match, 0] = 255
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")
@ -223,8 +310,100 @@ class QtImageProcessor:
total_keep=total_keep,
matches_excl=matches_excl,
total_excl=total_excl,
brightness_score=brightness,
grouping_score=grouping,
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
brightness = float(val[keep_visible].mean()) if keep_visible.any() else 0.0
grouping = self._calculate_grouping_score(keep_match)
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,
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)
# helpers ----------------------------------------------------------------
def _matches(self, r: int, g: int, b: int) -> bool:
@ -235,11 +414,11 @@ class QtImageProcessor:
hue_ok = self.hue_min <= hue <= self.hue_max
else:
hue_ok = hue >= self.hue_min or hue <= self.hue_max
sat_ok = s * 100.0 >= self.sat_min
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_colour(self, x: int, y: int) -> Tuple[float, float, float] | None:
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
@ -259,8 +438,10 @@ class QtImageProcessor:
return self._to_pixmap(self.preview_img)
def overlay_pixmap(self) -> QtGui.QPixmap:
if self.preview_img is None or self.overlay_img is None:
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)
@ -274,7 +455,7 @@ class QtImageProcessor:
# exclusions -------------------------------------------------------------
def set_exclusions(self, shapes: list[dict[str, object]]) -> None:
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")
@ -285,30 +466,87 @@ class QtImageProcessor:
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, y0, x1, y1], fill=255)
draw.rectangle([x0 * sx, y0 * sy, x1 * sx, y1 * sy], fill=255)
elif kind == "polygon":
points = shape.get("points", [])
if len(points) >= 3:
draw.polygon(points, fill=255)
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:
return np.zeros((h, w), dtype=bool)
mask = np.zeros((h, w), dtype=bool)
else:
pil_mask = self._build_exclusion_mask(size)
if pil_mask is None:
return np.zeros((h, w), dtype=bool)
return np.asarray(pil_mask, dtype=bool)
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
@property
def exclude_bg_color_hex(self) -> str:
r, g, b = self.exclude_bg_rgb
return f"#{r:02x}{g:02x}{b:02x}"

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192
app/qt/pattern_puller.py Normal file
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@ -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!"))

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@ -5,6 +5,12 @@ language = "en"
[options]
# Set to true to clear exclusion shapes whenever the image changes.
reset_exclusions_on_image_change = false
# Hex color code for the match overlay (e.g. "#ff0000" for Red, "#00ff00" for Green)
overlay_color = "#ff0000"
# Hex color code for the background to be excluded (default #1f2937)
exclude_bg_color = "#1f2937"
# Tolerance for background color matching (0-255, default 5)
exclude_bg_tolerance = 5
[defaults]
# Override any of the following keys to tweak the initial slider values:
@ -13,6 +19,7 @@ reset_exclusions_on_image_change = false
hue_min = 250.0
hue_max = 310.0
sat_min = 15.0
sat_max = 100.0
val_min = 15.0
val_max = 100.0
alpha = 120
alpha = 150

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@ -4,7 +4,7 @@ version = "0.1.0"
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",
@ -23,3 +23,8 @@ include = ["app"]
[tool.setuptools.package-data]
"app" = ["assets/logo.png", "lang/*.toml"]
[dependency-groups]
dev = [
"pytest>=9.0.2",
]

72
tests/test_file_paths.py Normal file
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@ -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"

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@ -0,0 +1,157 @@
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