Добавлено описание и документация для HVideoTool, включая функционал, требования, установку и запуск приложения для обнаружения цензуры на изображениях.

This commit is contained in:
Leonid Pershin
2026-06-06 15:11:53 +03:00
parent 10bf87aa47
commit 33f20fe681
28 changed files with 2256 additions and 0 deletions
View File
+62
View File
@@ -0,0 +1,62 @@
"""Options dialog for "Создать из ролика…" — sampling mode, step, downscale.
Keeps the speed levers in one place: keyframe-only (fast) vs every-Nth-frame, the
step, and an optional max-side downscale (smaller files → less disk/AV pressure).
"""
from __future__ import annotations
from PySide6.QtWidgets import (
QComboBox,
QDialog,
QDialogButtonBox,
QFormLayout,
QLabel,
QSpinBox,
QWidget,
)
class ExtractDialog(QDialog):
def __init__(self, parent: QWidget | None = None) -> None:
super().__init__(parent)
self.setWindowTitle("Создать из ролика")
self.mode = QComboBox()
self.mode.addItem("Только ключевые кадры (быстро)", userData=True)
self.mode.addItem("Каждый N-й кадр", userData=False)
self.mode.currentIndexChanged.connect(self._sync)
self.step = QSpinBox()
self.step.setRange(1, 100000)
self.step.setValue(15)
self.max_dim = QSpinBox()
self.max_dim.setRange(0, 8192)
self.max_dim.setSingleStep(120)
self.max_dim.setValue(0)
self.max_dim.setSpecialValueText("оригинал")
form = QFormLayout(self)
form.addRow("Режим:", self.mode)
form.addRow("Брать каждый N-й кадр:", self.step)
form.addRow("Макс. сторона, px:", self.max_dim)
hint = QLabel(
"Ключевые кадры — в разы быстрее (декодируются только I-кадры),\n"
"но реже по времени. Даунскейл уменьшает файлы и нагрузку на диск."
)
hint.setWordWrap(True)
form.addRow(hint)
buttons = QDialogButtonBox(QDialogButtonBox.Ok | QDialogButtonBox.Cancel)
buttons.accepted.connect(self.accept)
buttons.rejected.connect(self.reject)
form.addRow(buttons)
self._sync()
def _sync(self) -> None:
self.step.setEnabled(not self.mode.currentData())
def options(self) -> tuple[bool, int, int]:
"""Return (keyframes_only, step, max_dim)."""
return bool(self.mode.currentData()), self.step.value(), self.max_dim.value()
+128
View File
@@ -0,0 +1,128 @@
"""Widget that renders an image and draws detection overlays.
Overlay visibility and the confidence threshold are applied at paint time, so
toggling them is instant. One detection can be *highlighted* (selected in the
detail table) — it is drawn boldly even if below the threshold, while the others
dim, so the user can inspect exactly what the detector found.
"""
from __future__ import annotations
import cv2
import numpy as np
from PySide6.QtCore import QPointF, QRectF, Qt
from PySide6.QtGui import QBrush, QColor, QFont, QImage, QPainter, QPen, QPolygonF
from PySide6.QtWidgets import QWidget
from ..config import OverlayConfig
from ..core.detection.types import CensorType, Detection
class ImageView(QWidget):
def __init__(self, overlay_cfg: OverlayConfig, parent: QWidget | None = None) -> None:
super().__init__(parent)
self._cfg = overlay_cfg
self._qimage: QImage | None = None
self._dets: list[Detection] = []
self._overlay_enabled = True
self._threshold = 0.0
self._highlight: int | None = None
self.setMinimumSize(480, 360)
# ------------------------------------------------------------------ slots
def set_image(self, image_bgr: np.ndarray | None, dets: list[Detection]) -> None:
if image_bgr is None:
self._qimage = None
else:
rgb = np.ascontiguousarray(cv2.cvtColor(image_bgr, cv2.COLOR_BGR2RGB))
h, w, ch = rgb.shape
# .copy() so the QImage owns its pixels (the numpy buffer can be freed).
self._qimage = QImage(rgb.data, w, h, ch * w, QImage.Format_RGB888).copy()
self._dets = dets
self._highlight = None
self.update()
def set_overlay_enabled(self, enabled: bool) -> None:
self._overlay_enabled = enabled
self.update()
def set_threshold(self, threshold: float) -> None:
self._threshold = threshold
self.update()
def set_highlight(self, index: int | None) -> None:
self._highlight = index
self.update()
# ------------------------------------------------------------------ paint
def _color(self, ctype: CensorType) -> QColor:
r, g, b = self._cfg.colors.get(ctype.value, (255, 0, 0))
return QColor(r, g, b)
def paintEvent(self, event) -> None: # noqa: N802 - Qt signature
painter = QPainter(self)
painter.fillRect(self.rect(), QColor(18, 18, 18))
if self._qimage is None:
painter.setPen(QColor(160, 160, 160))
painter.drawText(self.rect(), Qt.AlignCenter, "Откройте папку с картинками (Файл → Открыть папку…)")
painter.end()
return
iw, ih = self._qimage.width(), self._qimage.height()
scale = min(self.width() / iw, self.height() / ih)
dw, dh = iw * scale, ih * scale
ox, oy = (self.width() - dw) / 2, (self.height() - dh) / 2
painter.setRenderHint(QPainter.SmoothPixmapTransform, True)
painter.drawImage(QRectF(ox, oy, dw, dh), self._qimage)
if self._overlay_enabled and self._dets:
painter.setRenderHint(QPainter.Antialiasing, True)
for i, d in enumerate(self._dets):
highlighted = i == self._highlight
# A highlighted detection is always drawn; others respect the threshold.
if not highlighted and d.score < self._threshold:
continue
dim = self._highlight is not None and not highlighted
self._draw_detection(painter, d, ox, oy, scale, highlighted, dim)
painter.end()
def _draw_detection(
self, painter: QPainter, d: Detection, ox: float, oy: float,
scale: float, highlighted: bool, dim: bool,
) -> None:
color = self._color(d.type)
width = self._cfg.line_width * (2 if highlighted else 1)
pen_color = QColor(color)
if dim:
pen_color.setAlpha(70)
painter.setPen(QPen(pen_color, width))
fill = QColor(color)
fill.setAlpha(0 if dim else (self._cfg.fill_alpha * 2 if highlighted else self._cfg.fill_alpha))
painter.setBrush(QBrush(fill))
points = d.polygon if len(d.polygon) >= 3 else self._bbox_points(d.bbox)
poly = QPolygonF([QPointF(ox + x * scale, oy + y * scale) for x, y in points])
painter.drawPolygon(poly)
if self._cfg.show_labels and not dim:
x, y, _w, _h = d.bbox
self._draw_label(painter, f"{d.type.value} {d.score:.2f}", ox + x * scale, oy + y * scale, color)
@staticmethod
def _bbox_points(bbox: tuple[int, int, int, int]) -> list[tuple[int, int]]:
x, y, w, h = bbox
return [(x, y), (x + w, y), (x + w, y + h), (x, y + h)]
def _draw_label(self, painter: QPainter, text: str, x: float, y: float, color: QColor) -> None:
font = QFont()
font.setPointSize(9)
painter.setFont(font)
metrics = painter.fontMetrics()
tw = metrics.horizontalAdvance(text) + 8
th = metrics.height() + 2
bg = QRectF(x, max(0.0, y - th), tw, th)
painter.fillRect(bg, color)
painter.setPen(QColor(0, 0, 0))
painter.drawText(bg, Qt.AlignCenter, text)
+494
View File
@@ -0,0 +1,494 @@
"""Main window: open a folder of images and inspect what the detector found.
Layout: a toolbar (open folder · detector · model · calc-frame · detect-all ·
threshold), then a splitter with three panes — the file list (left), the image
with overlays (center), and a detail table of every detection (right).
Viewing and detecting are decoupled, so browsing a big folder stays instant even
with a slow (CPU) detector:
- selecting a file just **shows** it (with its cached result, if any);
- **double-clicking** a file, or "Рассчитать кадр", runs the detector on it;
- "Детектировать все" runs the whole folder.
Both folder loading and detect-all show a progress bar. Results are cached;
switching detector/model clears the cache.
"""
from __future__ import annotations
import shutil
from pathlib import Path
from PySide6.QtCore import Qt
from PySide6.QtGui import QAction
from PySide6.QtWidgets import (
QAbstractItemView,
QApplication,
QComboBox,
QDialog,
QDoubleSpinBox,
QFileDialog,
QInputDialog,
QLabel,
QListWidget,
QListWidgetItem,
QMainWindow,
QMessageBox,
QProgressBar,
QSplitter,
QTableWidget,
QTableWidgetItem,
QVBoxLayout,
QWidget,
)
from .. import settings_store
from ..config import AppConfig
from ..core.detection.factory import build_detector
from ..core.detection.types import Detection
from ..core.imageio import imread_unicode
from ..core.video.extract import extract_frames
from ..core.video.frame import Frame
from .extract_dialog import ExtractDialog
from .image_view import ImageView
_IMAGE_EXTS = {".jpg", ".jpeg", ".png", ".bmp", ".webp", ".tif", ".tiff"}
_VIDEO_FILTER = "Видео (*.mp4 *.mkv *.avi *.mov *.webm *.m4v);;Все файлы (*.*)"
_DETECTORS = ["classic", "yolo", "combined"]
class MainWindow(QMainWindow):
def __init__(self, config: AppConfig) -> None:
super().__init__()
self._cfg = config
self._detector = None
self._detector_key = None
self._folder: Path | None = None
self._files: list[Path] = []
self._results: dict[str, list[Detection]] = {} # path -> detections (cache)
self._current: Path | None = None
self._collection: Path | None = None # active destination folder for moves
self.setWindowTitle("HVideoTool — инспектор детекции цензуры")
self.resize(1180, 720)
self._build_toolbar()
self._build_central()
self._build_statusbar()
self._build_menu()
self.statusBar().showMessage("Откройте папку с картинками")
# ------------------------------------------------------------------ setup
def _build_menu(self) -> None:
file_menu = self.menuBar().addMenu("Файл")
file_menu.addAction("Открыть папку…", self._choose_folder)
file_menu.addAction("Создать из ролика…", self._create_from_video)
file_menu.addSeparator()
file_menu.addAction("Рассчитать кадр", self._recompute_current).setShortcut("Space")
file_menu.addAction("Детектировать все", self._detect_all)
file_menu.addSeparator()
file_menu.addAction("Создать коллекцию…", self._create_collection)
file_menu.addAction("В коллекцию", self._move_to_collection).setShortcut("Ctrl+M")
file_menu.addSeparator()
file_menu.addAction("Выход", self.close)
def _build_toolbar(self) -> None:
tb = self.addToolBar("Главная")
tb.setMovable(False)
tb.addAction(QAction("Открыть папку…", self, triggered=self._choose_folder))
from_video = QAction("Создать из ролика…", self, triggered=self._create_from_video)
from_video.setToolTip("Разложить видео на кадры в папку-коллекцию и открыть её")
tb.addAction(from_video)
tb.addSeparator()
tb.addWidget(QLabel(" Детектор: "))
self.detector_combo = QComboBox()
self.detector_combo.addItems(_DETECTORS)
self.detector_combo.setCurrentText(self._cfg.detector)
self.detector_combo.currentTextChanged.connect(self._on_detector_changed)
tb.addWidget(self.detector_combo)
self.model_action = QAction("Модель…", self, triggered=self._choose_model)
tb.addAction(self.model_action)
tb.addSeparator()
calc = QAction("Рассчитать кадр", self, triggered=self._recompute_current)
calc.setToolTip("Запустить детектор на выбранном кадре (Space / двойной клик по файлу)")
tb.addAction(calc)
tb.addAction(QAction("Детектировать все", self, triggered=self._detect_all))
tb.addSeparator()
tb.addWidget(QLabel(" Порог: "))
self.threshold_spin = QDoubleSpinBox()
self.threshold_spin.setRange(0.0, 1.0)
self.threshold_spin.setSingleStep(0.05)
self.threshold_spin.setValue(self._cfg.default_threshold)
self.threshold_spin.valueChanged.connect(self._on_threshold_changed)
tb.addWidget(self.threshold_spin)
tb.addSeparator()
tb.addAction(QAction("Создать коллекцию…", self, triggered=self._create_collection))
move = QAction("В коллекцию →", self, triggered=self._move_to_collection)
move.setToolTip("Переместить выбранные кадры в активную коллекцию (Ctrl+M)")
tb.addAction(move)
self.collection_label = QLabel(" коллекция: —")
tb.addWidget(self.collection_label)
def _build_central(self) -> None:
self.file_list = QListWidget()
self.file_list.setSelectionMode(QAbstractItemView.ExtendedSelection) # multi-select for moves
self.file_list.currentItemChanged.connect(self._on_file_selected)
self.file_list.itemDoubleClicked.connect(self._on_file_activated)
self.view = ImageView(self._cfg.overlay)
self.view.set_threshold(self._cfg.default_threshold)
right = QWidget()
rlayout = QVBoxLayout(right)
rlayout.setContentsMargins(4, 4, 4, 4)
self.detail_header = QLabel("Детекции")
self.detail_header.setWordWrap(True)
rlayout.addWidget(self.detail_header)
self.detail_table = QTableWidget(0, 4)
self.detail_table.setHorizontalHeaderLabels(["Тип", "Увер.", "BBox (x,y,w,h)", "Полигон"])
self.detail_table.verticalHeader().setVisible(False)
self.detail_table.setSelectionBehavior(QTableWidget.SelectRows)
self.detail_table.setEditTriggers(QTableWidget.NoEditTriggers)
self.detail_table.itemSelectionChanged.connect(self._on_detail_selected)
rlayout.addWidget(self.detail_table)
splitter = QSplitter(Qt.Horizontal)
splitter.addWidget(self.file_list)
splitter.addWidget(self.view)
splitter.addWidget(right)
splitter.setStretchFactor(0, 0)
splitter.setStretchFactor(1, 1)
splitter.setStretchFactor(2, 0)
splitter.setSizes([240, 640, 300])
self.setCentralWidget(splitter)
def _build_statusbar(self) -> None:
self.progress = QProgressBar()
self.progress.setMaximumWidth(260)
self.progress.setVisible(False)
self.statusBar().addPermanentWidget(self.progress)
# --------------------------------------------------------------- detector
def _make_detector(self):
d = self._cfg.detection
key = (self._cfg.detector, self._cfg.model_path, d.yolo_conf, d.yolo_imgsz)
if key != self._detector_key:
self._detector = build_detector(self._cfg) # may raise ValueError / import / file errors
self._detector_key = key
return self._detector
def _on_detector_changed(self, name: str) -> None:
self._cfg.detector = name
# YOLO/combined need a model — offer to pick one if missing.
if name in ("yolo", "combined") and not self._cfg.model_path:
self._choose_model()
settings_store.save(self._cfg)
self._invalidate_results()
def _choose_model(self) -> None:
start = self._cfg.model_path or str(Path.cwd() / "models")
path, _ = QFileDialog.getOpenFileName(self, "Выберите веса (.pt)", start, "Веса YOLO (*.pt);;Все файлы (*.*)")
if path:
self._cfg.model_path = path
settings_store.save(self._cfg)
self.statusBar().showMessage(f"Модель: {path}")
self._invalidate_results()
def _invalidate_results(self) -> None:
"""Detector changed — drop the cache and refresh the current image."""
self._detector_key = None
self._results.clear()
for i in range(self.file_list.count()):
self.file_list.item(i).setText(self.file_list.item(i).data(Qt.UserRole + 1))
if self._current is not None:
self._show(self._current)
# --------------------------------------------------------------- handlers
def open_path(self, folder: str) -> None:
self._load_folder(Path(folder))
def _choose_folder(self) -> None:
start = settings_store.last_dir() or ""
folder = QFileDialog.getExistingDirectory(self, "Открыть папку с картинками", start)
if folder:
self._load_folder(Path(folder))
def _create_from_video(self) -> None:
"""Decode a video into a folder of frames (a collection) and open it."""
path, _ = QFileDialog.getOpenFileName(
self, "Выберите ролик", settings_store.last_dir() or "", _VIDEO_FILTER
)
if not path:
return
dialog = ExtractDialog(self)
if dialog.exec() != QDialog.Accepted:
return
keyframes_only, step, max_dim = dialog.options()
video = Path(path)
out = video.parent / f"{video.stem}_frames"
self.progress.setRange(0, 1000) # promille of duration
self.progress.setValue(0)
self.progress.setVisible(True)
def cb(done: float, total: float) -> bool:
if total > 0:
self.progress.setValue(int(1000 * min(done, total) / total))
self.statusBar().showMessage(f"Извлечение кадров: {done:.0f}/{total:.0f} с…")
QApplication.processEvents()
return True
try:
saved = extract_frames(
str(video), str(out), step=step, keyframes_only=keyframes_only,
max_dim=max_dim, progress=cb,
)
except Exception as exc: # noqa: BLE001 - surface decode errors to the user
self.progress.setVisible(False)
QMessageBox.warning(self, "Ошибка", f"Не удалось извлечь кадры:\n{exc}")
return
finally:
self.progress.setVisible(False)
if saved == 0:
QMessageBox.warning(self, "Пусто", "Из ролика не удалось извлечь ни одного кадра.")
return
self.statusBar().showMessage(f"Извлечено {saved} кадров → {out}")
self._load_folder(out)
def _load_folder(self, folder: Path) -> None:
if not folder.is_dir():
QMessageBox.warning(self, "Ошибка", f"Папка не найдена: {folder}")
return
self.statusBar().showMessage(f"Сканирую папку: {folder}")
QApplication.processEvents()
files = sorted(p for p in folder.iterdir() if p.suffix.lower() in _IMAGE_EXTS)
self._folder = folder
self._files = files
self._results.clear()
self._current = None
settings_store.set_last_dir(str(folder))
self.file_list.blockSignals(True)
self.file_list.setUpdatesEnabled(False)
self.file_list.clear()
self.progress.setRange(0, len(files))
self.progress.setVisible(True)
for i, p in enumerate(files, 1):
item = QListWidgetItem(p.name)
item.setData(Qt.UserRole, str(p))
item.setData(Qt.UserRole + 1, p.name) # base label, without the count suffix
self.file_list.addItem(item)
if i % 1000 == 0:
self.progress.setValue(i)
self.statusBar().showMessage(f"Загрузка списка: {i}/{len(files)}")
QApplication.processEvents()
self.file_list.setUpdatesEnabled(True)
self.file_list.blockSignals(False)
self.progress.setVisible(False)
if not files:
self.view.set_image(None, [])
self.statusBar().showMessage(f"В папке нет картинок: {folder}")
return
self.statusBar().showMessage(f"{len(files)} картинок · {folder} · двойной клик / «Рассчитать кадр» для детекции")
self.file_list.setCurrentRow(0)
def _on_file_selected(self, current: QListWidgetItem | None, _prev=None) -> None:
if current is not None:
self._show(Path(current.data(Qt.UserRole))) # view only — no detection
def _on_file_activated(self, item: QListWidgetItem) -> None:
# Double-click: compute if not already cached, then show.
path = Path(item.data(Qt.UserRole))
if str(path) not in self._results and self._detect(path) is None:
return
self._show(path)
def _detect(self, path: Path) -> list[Detection] | None:
"""Run (or fetch cached) detections for one image. None on failure."""
key = str(path)
if key in self._results:
return self._results[key]
img = imread_unicode(key)
if img is None:
self.statusBar().showMessage(f"Не удалось прочитать: {path.name}")
return None
try:
detector = self._make_detector()
except Exception as exc: # noqa: BLE001 - surface config/model errors to the user
QMessageBox.warning(self, "Детектор недоступен", str(exc))
return None
self.statusBar().showMessage(f"Детекция: {path.name}")
QApplication.processEvents()
dets = detector.detect(Frame(image=img, index=0, pts=0.0))
dets.sort(key=lambda d: d.score, reverse=True)
self._results[key] = dets
self._tag_file(path, len(dets))
return dets
def _show(self, path: Path) -> None:
"""Display the image with its cached detections (does not run the detector)."""
self._current = path
img = imread_unicode(str(path))
dets = self._results.get(str(path)) # None => not yet computed
self.view.set_image(img, dets or [])
self._fill_detail_table(path, img, dets)
def _recompute_current(self) -> None:
"""Toolbar/Space: (re)run the detector on the selected frame."""
if self._current is None:
return
self._results.pop(str(self._current), None)
self._detector_key = None # rebuild the detector so settings changes take effect
if self._detect(self._current) is None:
return
self._show(self._current)
def _detect_all(self) -> None:
if not self._files:
return
total = len(self._files)
self.progress.setRange(0, total)
self.progress.setVisible(True)
try:
for i, p in enumerate(self._files, 1):
self.progress.setValue(i)
self.statusBar().showMessage(f"Детекция {i}/{total}: {p.name}")
QApplication.processEvents()
if self._detect(p) is None:
return # detector unavailable — message already shown
finally:
self.progress.setVisible(False)
hits = sum(1 for p in self._files if self._results.get(str(p)))
self.statusBar().showMessage(f"Готово: детекции на {hits} из {total} картинок")
if self._current is not None:
self._show(self._current)
# ------------------------------------------------------------ collections
def _collections_base(self) -> Path:
"""Where new collections are created: next to the opened folder, else home."""
if self._folder is not None:
return self._folder.parent
return Path.home() / "HVideoTool" / "collections"
def _create_collection(self) -> None:
name, ok = QInputDialog.getText(self, "Создать коллекцию", "Имя коллекции:")
name = name.strip()
if not ok or not name:
return
path = self._collections_base() / name
try:
path.mkdir(parents=True, exist_ok=True)
except OSError as exc:
QMessageBox.warning(self, "Ошибка", f"Не удалось создать коллекцию:\n{exc}")
return
self._collection = path
self._update_collection_label()
self.statusBar().showMessage(f"Активная коллекция: {path}")
def _update_collection_label(self) -> None:
self.collection_label.setText(
f" коллекция: {self._collection.name}" if self._collection else " коллекция: —"
)
def _move_to_collection(self) -> None:
if self._collection is None:
QMessageBox.information(
self, "Нет коллекции",
"Сначала создайте коллекцию (кнопка «Создать коллекцию…»).",
)
return
items = self.file_list.selectedItems()
if not items:
QMessageBox.information(self, "Нет выбора", "Выберите кадры в списке слева.")
return
moved = 0
for item in items:
src = Path(item.data(Qt.UserRole))
if not src.exists():
continue
dst = self._unique_dest(self._collection, src.name)
try:
shutil.move(str(src), str(dst))
except OSError as exc:
QMessageBox.warning(self, "Ошибка", f"Не удалось переместить {src.name}:\n{exc}")
continue
moved += 1
self._results.pop(str(src), None)
self._files = [p for p in self._files if p != src]
self.file_list.takeItem(self.file_list.row(item))
if self._current == src:
self._current = None
self.statusBar().showMessage(f"Перемещено {moved}{self._collection.name}")
cur = self.file_list.currentItem()
if cur is not None:
self._show(Path(cur.data(Qt.UserRole)))
elif self.file_list.count() == 0:
self.view.set_image(None, [])
@staticmethod
def _unique_dest(folder: Path, name: str) -> Path:
"""Avoid clobbering: foo.jpg -> foo (1).jpg if it already exists."""
dst = folder / name
if not dst.exists():
return dst
stem, suffix = dst.stem, dst.suffix
i = 1
while (folder / f"{stem} ({i}){suffix}").exists():
i += 1
return folder / f"{stem} ({i}){suffix}"
# ----------------------------------------------------------------- detail
def _tag_file(self, path: Path, count: int) -> None:
for i in range(self.file_list.count()):
item = self.file_list.item(i)
if item.data(Qt.UserRole) == str(path):
base = item.data(Qt.UserRole + 1)
item.setText(f"{base} · {count}" if count else f"{base} · —")
return
def _fill_detail_table(self, path: Path, img, dets: list[Detection] | None) -> None:
h, w = (img.shape[0], img.shape[1]) if img is not None else (0, 0)
if dets is None:
self.detail_header.setText(
f"<b>{path.name}</b> · {w}×{h} · <i>не рассчитано</i> "
"(двойной клик по файлу или «Рассчитать кадр»)"
)
self.detail_table.setRowCount(0)
self.view.set_highlight(None)
return
by_type: dict[str, int] = {}
for d in dets:
by_type[d.type.value] = by_type.get(d.type.value, 0) + 1
summary = ", ".join(f"{k}: {v}" for k, v in sorted(by_type.items())) or "ничего не найдено"
self.detail_header.setText(f"<b>{path.name}</b> · {w}×{h} · всего {len(dets)} ({summary})")
self.detail_table.blockSignals(True)
self.detail_table.setRowCount(len(dets))
for row, d in enumerate(dets):
x, y, bw, bh = d.bbox
cells = [d.type.value, f"{d.score:.2f}", f"{x},{y},{bw},{bh}", str(len(d.polygon))]
for col, text in enumerate(cells):
self.detail_table.setItem(row, col, QTableWidgetItem(text))
self.detail_table.blockSignals(False)
self.detail_table.clearSelection()
self.detail_table.resizeColumnsToContents()
self.view.set_highlight(None)
def _on_detail_selected(self) -> None:
rows = self.detail_table.selectionModel().selectedRows()
self.view.set_highlight(rows[0].row() if rows else None)
def _on_threshold_changed(self, value: float) -> None:
self._cfg.default_threshold = value
self.view.set_threshold(value)
settings_store.save(self._cfg)