176 lines
6.2 KiB
Python
176 lines
6.2 KiB
Python
"""Minimal image processing pipeline adapted for the Qt frontend."""
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from __future__ import annotations
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import colorsys
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Dict, Iterable, Tuple
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from PIL import Image, ImageDraw
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from PySide6 import QtGui
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from app.logic import PREVIEW_MAX_SIZE
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@dataclass
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class Stats:
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matches_all: int = 0
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total_all: int = 0
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matches_keep: int = 0
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total_keep: int = 0
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def summary(self, translate) -> str:
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if self.total_all == 0:
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return translate("stats.placeholder")
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with_pct = (self.matches_keep / self.total_keep * 100) if self.total_keep else 0.0
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without_pct = (self.matches_all / self.total_all * 100) if self.total_all else 0.0
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return translate("stats.summary", with_pct=with_pct, without_pct=without_pct, excluded_pct=0.0, excluded_match_pct=0.0)
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class QtImageProcessor:
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"""Process images and build overlays for the Qt UI."""
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def __init__(self) -> None:
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self.orig_img: Image.Image | None = None
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self.preview_img: Image.Image | None = None
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self.overlay_img: Image.Image | None = None
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self.preview_paths: list[Path] = []
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self.current_index: int = -1
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self.stats = Stats()
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self.defaults: Dict[str, int] = {
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"hue_min": 0,
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"hue_max": 360,
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"sat_min": 25,
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"val_min": 15,
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"val_max": 100,
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"alpha": 120,
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}
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self.hue_min = self.defaults["hue_min"]
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self.hue_max = self.defaults["hue_max"]
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self.sat_min = self.defaults["sat_min"]
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self.val_min = self.defaults["val_min"]
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self.val_max = self.defaults["val_max"]
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self.alpha = self.defaults["alpha"]
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self.exclude_shapes: list[dict[str, object]] = []
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def set_defaults(self, defaults: dict) -> None:
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for key in self.defaults:
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if key in defaults:
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self.defaults[key] = int(defaults[key])
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for key, value in self.defaults.items():
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setattr(self, key, value)
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# thresholds -------------------------------------------------------------
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def set_threshold(self, key: str, value: int) -> None:
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setattr(self, key, value)
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if self.preview_img is not None:
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self._rebuild_overlay()
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# image handling --------------------------------------------------------
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def load_single_image(self, path: Path) -> None:
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image = Image.open(path).convert("RGBA")
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self.orig_img = image
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self.preview_paths = [path]
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self.current_index = 0
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self._build_preview()
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self._rebuild_overlay()
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def load_folder(self, paths: Iterable[Path], start_index: int = 0) -> None:
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self.preview_paths = list(paths)
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if not self.preview_paths:
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raise ValueError("No images in folder.")
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self.current_index = max(0, min(start_index, len(self.preview_paths) - 1))
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self._load_current()
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def next_image(self) -> None:
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if not self.preview_paths:
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return
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self.current_index = (self.current_index + 1) % len(self.preview_paths)
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self._load_current()
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def previous_image(self) -> None:
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if not self.preview_paths:
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return
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self.current_index = (self.current_index - 1) % len(self.preview_paths)
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self._load_current()
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def _load_current(self) -> None:
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path = self.preview_paths[self.current_index]
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self.load_single_image(path)
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# preview/overlay -------------------------------------------------------
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def _build_preview(self) -> None:
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if self.orig_img is None:
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self.preview_img = None
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return
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width, height = self.orig_img.size
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max_w, max_h = PREVIEW_MAX_SIZE
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scale = min(max_w / width, max_h / height)
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if scale <= 0:
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scale = 1.0
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size = (max(1, int(width * scale)), max(1, int(height * scale)))
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self.preview_img = self.orig_img.resize(size, Image.LANCZOS)
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def _rebuild_overlay(self) -> None:
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if self.preview_img is None:
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self.overlay_img = None
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return
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base = self.preview_img.convert("RGBA")
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overlay = Image.new("RGBA", base.size, (0, 0, 0, 0))
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draw = ImageDraw.Draw(overlay)
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pixels = base.load()
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width, height = base.size
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highlight = (255, 0, 0, int(self.alpha))
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matches_all = total_all = 0
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for y in range(height):
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for x in range(width):
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r, g, b, a = pixels[x, y]
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if a == 0:
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continue
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total_all += 1
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if self._matches(r, g, b):
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draw.point((x, y), fill=highlight)
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matches_all += 1
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self.overlay_img = overlay
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self.stats = Stats(matches_all=matches_all, total_all=total_all, matches_keep=matches_all, total_keep=total_all)
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# helpers ----------------------------------------------------------------
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def _matches(self, r: int, g: int, b: int) -> bool:
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h, s, v = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)
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hue = (h * 360.0) % 360.0
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if self.hue_min <= self.hue_max:
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hue_ok = self.hue_min <= hue <= self.hue_max
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else:
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hue_ok = hue >= self.hue_min or hue <= self.hue_max
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sat_ok = s * 100.0 >= self.sat_min
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val_ok = self.val_min <= v * 100.0 <= self.val_max
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return hue_ok and sat_ok and val_ok
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# exported data ----------------------------------------------------------
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def preview_pixmap(self) -> QtGui.QPixmap:
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return self._to_pixmap(self.preview_img)
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def overlay_pixmap(self) -> QtGui.QPixmap:
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if self.preview_img is None or self.overlay_img is None:
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return QtGui.QPixmap()
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merged = Image.alpha_composite(self.preview_img.convert("RGBA"), self.overlay_img)
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return self._to_pixmap(merged)
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@staticmethod
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def _to_pixmap(image: Image.Image | None) -> QtGui.QPixmap:
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if image is None:
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return QtGui.QPixmap()
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buffer = image.tobytes("raw", "RGBA")
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qt_image = QtGui.QImage(buffer, image.width, image.height, QtGui.QImage.Format_RGBA8888)
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return QtGui.QPixmap.fromImage(qt_image)
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