Enhance documentation and UI for HVideoTool: added restoration feature for detected regions, updated layout for collection controls, and improved navigation bar. Clarified tool capabilities and limitations in README and CLAUDE.md.

This commit is contained in:
Leonid Pershin
2026-06-06 15:44:14 +03:00
parent 33f20fe681
commit ddc8543647
8 changed files with 419 additions and 35 deletions
+40 -10
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@@ -38,14 +38,19 @@ a detector, draws the regions, and shows a detailed per-image list of what it fo
Keep this scope sharp:
- It is a **detection + overlay/inspection** tool. It does **not** remove, restore, or
reconstruct censored content.
- It does **not** generate images. There is **no** ControlNet / SDXL / diffusion
pipeline. (`xinsir/controlnet-union-sdxl-1.0` was considered early but rejected — a
generative model, not a detector. Do not reintroduce it.)
- Primary job is **detection + overlay/inspection**. A **restoration** ("расцензурить")
step was added later (user-requested): per-frame, on-demand, behind a `Restorer`
interface. The shipped engine is a cv2 **inpaint baseline** (fills, does NOT truly
reconstruct); a generative engine (DeepMosaics / LADA BasicVSR++) is the intended
real engine but needs weights + a CUDA GPU and is not wired yet.
- Still **no diffusion / ControlNet / SDXL**. (`xinsir/controlnet-union-sdxl-1.0` was
rejected early — a generative *conditioning* model, not a censorship restorer. Don't
reintroduce it.) Restoration, if upgraded, uses a mosaic-removal model (DeepMosaics/
LADA), not a general text-to-image diffusion pipeline.
- It detects **already-censored** regions, not "content that should be censored"
(i.e. not an NSFW classifier).
- It does **not** decode video. No PyAV. Input is image files only.
- Video is only a one-shot frame-extraction convenience (see below); detection and
restoration operate on image folders.
## Target environment
@@ -91,6 +96,11 @@ hvideotool/
├── video/
│ ├── extract.py # extract_frames(): ffmpeg CLI (cv2 fallback) -> JPGs; keyframe/step modes + downscale
│ └── frame.py # Frame dataclass (image BGR, index, pts) — the detector input type
├── restore/ # "un-censor" detected regions (per-frame)
│ ├── base.py # Restorer ABC: restore(image, detections) -> image
│ ├── factory.py # build_restorer(name) -> inpaint (deepmosaics/lada = not wired yet)
│ ├── inpaint.py # InpaintRestorer (cv2) — baseline, fills not reconstructs
│ └── mask.py # detections_to_mask(shape, dets, dilate)
└── detection/
├── base.py # Detector ABC: detect(frame) -> list[Detection]
├── factory.py # build_detector(config) -> classic | yolo | combined
@@ -115,12 +125,32 @@ hvideotool/
"Детектировать все" (whole folder, progress bar). Do NOT re-add auto-detect-on-select.
Results cache in `_results`; the file-list row gets a count suffix when computed.
Switching detector/model clears the cache (`_invalidate_results`).
- **Collections (curation).** "Создать коллекцию…" makes a destination folder
(`_collections_base()` = the opened folder's parent, else `~/HVideoTool/collections`)
and marks it active. The file list is `ExtendedSelection`; "В коллекцию" / Ctrl+M
**moves** (`shutil.move`, not copy) the selected frames there, removing them from the
- **Collections (curation).** A combo in the left pane (next to the file list, since it
acts on the list selection — not on the toolbar, to keep that uncluttered)
(`collection_combo`) picks the active destination; `_refresh_collections()` repopulates it from sibling folders of the
opened folder (`_collections_base()` = the opened folder's parent, else
`~/HVideoTool/collections`) on load/create, so previously-made collections are
reselectable. Items carry the path in itemData; "— не выбрана —" = None,
"Выбрать папку…" = `"__browse__"` sentinel → `_browse_collection()` for an arbitrary
folder (kept in the combo even if outside base). "Создать…" makes a new one and
selects it. The file list is `ExtendedSelection`; "В коллекцию" / Ctrl+M **moves**
(`shutil.move`, not copy) the selected frames there, removing them from
list/`_files`/cache. `_unique_dest` avoids clobbering (`foo.jpg``foo (1).jpg`).
Use case: sort frames into a training/example set while inspecting detections.
- **Restoration ("Расцензурить кадр").** Toolbar action runs `self._restorer` (built via
`build_restorer`) on the current frame's detections (computing them first if needed),
caches the result in `_restored[path]`, and shows it overlay-free. "Показать оригинал/
результат" toggles (`_showing_restored`); "Сохранить результат" writes
`<stem>_restored.jpg` into the active collection (or beside the frame). The baseline
is cv2 inpaint — honest: it fills, doesn't reconstruct. To add a real engine,
implement `core/restore/base.Restorer`, register it in `restore/factory.build_restorer`,
and swap `self._restorer`. `_show` resets `_showing_restored` + `_update_restore_actions`.
- **Navigation bar** under the image (`_build_nav_bar`): prev/next frame (◀ ▶, keys
`,`/`.`), a scrubber `frame_slider` across the whole sequence, a `pos_label`
("row / n"), and jump-to-detection (◀ детекция / детекция ▶, keys `[`/`]`,
`_step_hit` scans `_results` for the next non-empty frame). The slider and file list
are kept in sync via `_update_nav` guarded by `_nav_sync` (avoids signal loops); all
navigation ultimately drives `file_list.setCurrentRow`.
- `image_view.ImageView` draws the image scaled-to-fit plus overlays. Overlay
visibility/threshold are applied at paint time. Selecting a row in the detail table
calls `set_highlight(i)` — that detection is drawn boldly (even below threshold) and
+15 -3
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@@ -31,13 +31,25 @@
уверенности прямо в тулбаре — удобно сравнивать.
- Выбор файла весов модели кнопкой **«Модель…»**.
## Восстановление (расцензуривание)
Кнопка **«Расцензурить кадр»** восстанавливает найденные области на текущем кадре,
**«Показать оригинал/результат»** переключает вид, **«Сохранить результат»** пишет
`<имя>_restored.jpg` (в активную коллекцию или рядом с кадром).
> ⚠️ Сейчас движок восстановления — **инпейнт (cv2)**: он *заполняет* область по
> окружению, но **не реконструирует** скрытые детали (замазывает, а не раскрывает).
> Настоящее восстановление мозаики требует генеративной модели (DeepMosaics или
> [LADA](https://github.com/ladaapp/lada) на BasicVSR++) и **GPU NVIDIA/CUDA**; на
> аниме качество таких моделей ограничено. Движок подключается через интерфейс
> `core/restore/base.Restorer` (`build_restorer`) — инпейнт сейчас стоит заглушкой.
## Что НЕ делает (осознанно вне области задачи)
- Не **удаляет** и не **восстанавливает** зацензуренный контент.
- Не **генерирует** изображения (никакого ControlNet/SDXL/диффузии).
- Не **генерирует** изображения через диффузию (никакого ControlNet/SDXL).
- Не детектирует «контент, который следовало бы зацензурить» (NSFW) — ищем
именно **уже наложенную** цензуру.
- Не декодирует видео — работает с готовыми картинками.
- Полноценное генеративное восстановление пока не подключено (см. выше).
---
+1
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@@ -0,0 +1 @@
+26
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@@ -0,0 +1,26 @@
"""Restorer interface — "un-censor" detected regions of an image.
A Restorer takes an image plus the detected censored regions and returns a new
image with those regions reconstructed/filled. This mirrors the ``Detector``
abstraction so different engines (classic inpaint now; a generative model like
DeepMosaics / LADA later) plug in behind the same interface.
"""
from __future__ import annotations
from abc import ABC, abstractmethod
import numpy as np
from ..detection.types import Detection
class Restorer(ABC):
@property
def name(self) -> str:
return type(self).__name__
@abstractmethod
def restore(self, image: np.ndarray, detections: list[Detection]) -> np.ndarray:
"""Return a copy of ``image`` with the detected regions reconstructed."""
raise NotImplementedError
+22
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@@ -0,0 +1,22 @@
"""Restorer factory: build a Restorer by name.
Currently only the cv2 inpaint baseline is wired. Generative engines
(DeepMosaics / LADA BasicVSR++) are placeholders — they need model weights and a
CUDA GPU, and raise a clear, actionable error until integrated. See README.
"""
from __future__ import annotations
from .base import Restorer
from .inpaint import InpaintRestorer
def build_restorer(name: str = "inpaint", model_path: str | None = None) -> Restorer:
if name == "inpaint":
return InpaintRestorer()
if name in ("deepmosaics", "lada"):
raise ValueError(
"Генеративное восстановление пока не подключено.\n"
"Нужна модель (DeepMosaics / LADA) и GPU (CUDA). См. README → Восстановление."
)
raise ValueError(f"Неизвестный режим восстановления: {name!r}")
+35
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@@ -0,0 +1,35 @@
"""Classic inpainting restorer (cv2) — the always-available baseline.
HONEST LIMITATION: cv2 inpainting fills the masked region by propagating
surrounding pixels. It removes the mosaic/bar but does NOT reconstruct the hidden
detail — it smooths/guesses. For real reconstruction a generative model
(DeepMosaics / LADA) is needed; this is the no-weights, no-GPU fallback so the
"Расцензурить кадр" flow works end-to-end today.
"""
from __future__ import annotations
import cv2
import numpy as np
from ..detection.types import Detection
from .base import Restorer
from .mask import detections_to_mask
class InpaintRestorer(Restorer):
def __init__(self, radius: int = 3, dilate: int = 2, method: str = "telea") -> None:
self.radius = radius
self.dilate = dilate
self.method = method
@property
def name(self) -> str:
return f"InpaintRestorer({self.method})"
def restore(self, image: np.ndarray, detections: list[Detection]) -> np.ndarray:
if not detections:
return image.copy()
mask = detections_to_mask(image.shape, detections, dilate=self.dilate)
flags = cv2.INPAINT_TELEA if self.method == "telea" else cv2.INPAINT_NS
return cv2.inpaint(image, mask, self.radius, flags)
+26
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@@ -0,0 +1,26 @@
"""Build a binary mask of the censored regions from detections."""
from __future__ import annotations
import cv2
import numpy as np
from ..detection.types import Detection
def detections_to_mask(
shape: tuple[int, int], detections: list[Detection], dilate: int = 0
) -> np.ndarray:
"""White (255) over every detected region (polygon if present, else bbox)."""
h, w = shape[:2]
mask = np.zeros((h, w), np.uint8)
for d in detections:
if len(d.polygon) >= 3:
cv2.fillPoly(mask, [np.array(d.polygon, np.int32)], 255)
else:
x, y, bw, bh = d.bbox
cv2.rectangle(mask, (x, y), (x + bw, y + bh), 255, -1)
if dilate > 0:
k = np.ones((dilate * 2 + 1, dilate * 2 + 1), np.uint8)
mask = cv2.dilate(mask, k)
return mask
+254 -22
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@@ -1,8 +1,10 @@
"""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).
Layout: a toolbar (open folder · from-video · detector · model · calc-frame ·
detect-all · threshold), then a splitter with three panes — left: collection
controls + the file list; center: the image with overlays; right: a detail table
of every detection. Collection controls sit by the file list (they act on its
selection), keeping the toolbar to detection/entry actions only.
Viewing and detecting are decoupled, so browsing a big folder stays instant even
with a slow (CPU) detector:
@@ -19,7 +21,7 @@ import shutil
from pathlib import Path
from PySide6.QtCore import Qt
from PySide6.QtGui import QAction
from PySide6.QtGui import QAction, QKeySequence, QShortcut
from PySide6.QtWidgets import (
QAbstractItemView,
QApplication,
@@ -27,6 +29,7 @@ from PySide6.QtWidgets import (
QDialog,
QDoubleSpinBox,
QFileDialog,
QHBoxLayout,
QInputDialog,
QLabel,
QListWidget,
@@ -34,6 +37,8 @@ from PySide6.QtWidgets import (
QMainWindow,
QMessageBox,
QProgressBar,
QPushButton,
QSlider,
QSplitter,
QTableWidget,
QTableWidgetItem,
@@ -45,7 +50,8 @@ 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.imageio import imread_unicode, imwrite_unicode
from ..core.restore.factory import build_restorer
from ..core.video.extract import extract_frames
from ..core.video.frame import Frame
from .extract_dialog import ExtractDialog
@@ -67,6 +73,10 @@ class MainWindow(QMainWindow):
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._restorer = build_restorer("inpaint") # un-censor engine (baseline)
self._restored: dict[str, "object"] = {} # path -> restored image (BGR ndarray)
self._showing_restored = False
self._nav_sync = False # guard against slider<->list signal loops
self.setWindowTitle("HVideoTool — инспектор детекции цензуры")
self.resize(1180, 720)
@@ -75,6 +85,7 @@ class MainWindow(QMainWindow):
self._build_central()
self._build_statusbar()
self._build_menu()
self._refresh_collections()
self.statusBar().showMessage("Откройте папку с картинками")
# ------------------------------------------------------------------ setup
@@ -117,6 +128,17 @@ class MainWindow(QMainWindow):
tb.addAction(calc)
tb.addAction(QAction("Детектировать все", self, triggered=self._detect_all))
tb.addSeparator()
restore = QAction("Расцензурить кадр", self, triggered=self._restore_current)
restore.setToolTip("Восстановить найденные области на текущем кадре")
tb.addAction(restore)
self.toggle_restored_action = QAction("Показать оригинал", self, triggered=self._toggle_restored)
self.toggle_restored_action.setEnabled(False)
tb.addAction(self.toggle_restored_action)
self.save_restored_action = QAction("Сохранить результат", self, triggered=self._save_restored)
self.save_restored_action.setEnabled(False)
tb.addAction(self.save_restored_action)
tb.addSeparator()
tb.addWidget(QLabel(" Порог: "))
self.threshold_spin = QDoubleSpinBox()
@@ -126,22 +148,44 @@ class MainWindow(QMainWindow):
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)
# Collection controls live next to the file list — they act on its selection.
self.collection_combo = QComboBox()
self.collection_combo.setToolTip("Активная коллекция, куда перемещаются кадры")
self.collection_combo.activated.connect(self._on_collection_selected)
new_coll = QPushButton("Создать")
new_coll.clicked.connect(self._create_collection)
move_btn = QPushButton("В коллекцию →")
move_btn.setToolTip("Переместить выбранные кадры в активную коллекцию (Ctrl+M)")
move_btn.clicked.connect(self._move_to_collection)
coll_row = QHBoxLayout()
coll_row.setContentsMargins(0, 0, 0, 0)
coll_row.addWidget(QLabel("Коллекция:"))
coll_row.addWidget(self.collection_combo, 1)
coll_row.addWidget(new_coll)
left = QWidget()
left_layout = QVBoxLayout(left)
left_layout.setContentsMargins(4, 4, 4, 4)
left_layout.setSpacing(4)
left_layout.addLayout(coll_row)
left_layout.addWidget(self.file_list, 1)
left_layout.addWidget(move_btn)
self.view = ImageView(self._cfg.overlay)
self.view.set_threshold(self._cfg.default_threshold)
center = QWidget()
clayout = QVBoxLayout(center)
clayout.setContentsMargins(0, 0, 0, 0)
clayout.setSpacing(2)
clayout.addWidget(self.view, 1)
clayout.addWidget(self._build_nav_bar())
right = QWidget()
rlayout = QVBoxLayout(right)
@@ -158,8 +202,8 @@ class MainWindow(QMainWindow):
rlayout.addWidget(self.detail_table)
splitter = QSplitter(Qt.Horizontal)
splitter.addWidget(self.file_list)
splitter.addWidget(self.view)
splitter.addWidget(left)
splitter.addWidget(center)
splitter.addWidget(right)
splitter.setStretchFactor(0, 0)
splitter.setStretchFactor(1, 1)
@@ -167,6 +211,87 @@ class MainWindow(QMainWindow):
splitter.setSizes([240, 640, 300])
self.setCentralWidget(splitter)
def _build_nav_bar(self) -> QWidget:
bar = QWidget()
h = QHBoxLayout(bar)
h.setContentsMargins(4, 2, 4, 2)
self.prev_btn = QPushButton("")
self.prev_btn.setToolTip("Предыдущий кадр (,)")
self.prev_btn.clicked.connect(lambda: self._step(-1))
self.next_btn = QPushButton("")
self.next_btn.setToolTip("Следующий кадр (.)")
self.next_btn.clicked.connect(lambda: self._step(1))
self.frame_slider = QSlider(Qt.Horizontal)
self.frame_slider.setMinimum(0)
self.frame_slider.setMaximum(0)
self.frame_slider.setToolTip("Перемотка по кадрам (стрелки ← →)")
self.frame_slider.valueChanged.connect(self._on_slider)
self.pos_label = QLabel("0 / 0")
self.pos_label.setMinimumWidth(90)
self.pos_label.setAlignment(Qt.AlignCenter)
self.prev_hit_btn = QPushButton("◀ детекция")
self.prev_hit_btn.setToolTip("Предыдущий кадр с детекцией ([)")
self.prev_hit_btn.clicked.connect(lambda: self._step_hit(-1))
self.next_hit_btn = QPushButton("детекция ▶")
self.next_hit_btn.setToolTip("Следующий кадр с детекцией (])")
self.next_hit_btn.clicked.connect(lambda: self._step_hit(1))
for wdg in (self.prev_btn, self.next_btn, self.frame_slider, self.pos_label,
self.prev_hit_btn, self.next_hit_btn):
h.addWidget(wdg, 1 if wdg is self.frame_slider else 0)
# Keyboard shortcuts (window-wide), chosen to not clash with list/slider arrows.
QShortcut(QKeySequence(","), self, lambda: self._step(-1))
QShortcut(QKeySequence("."), self, lambda: self._step(1))
QShortcut(QKeySequence("["), self, lambda: self._step_hit(-1))
QShortcut(QKeySequence("]"), self, lambda: self._step_hit(1))
return bar
# -------------------------------------------------------------- navigation
def _step(self, delta: int) -> None:
n = self.file_list.count()
if n == 0:
return
row = max(0, min(n - 1, self.file_list.currentRow() + delta))
self.file_list.setCurrentRow(row)
def _step_hit(self, direction: int) -> None:
"""Jump to the nearest frame (in `direction`) that has detections."""
n = self.file_list.count()
if n == 0:
return
row = self.file_list.currentRow()
i = row + direction
while 0 <= i < n:
path = self.file_list.item(i).data(Qt.UserRole)
if self._results.get(path):
self.file_list.setCurrentRow(i)
return
i += direction
self.statusBar().showMessage(
"Больше нет кадров с детекцией в эту сторону "
"(сначала «Детектировать все»)"
)
def _on_slider(self, value: int) -> None:
if self._nav_sync:
return
if value != self.file_list.currentRow():
self.file_list.setCurrentRow(value)
def _update_nav(self) -> None:
n = self.file_list.count()
row = self.file_list.currentRow()
self._nav_sync = True
self.frame_slider.setMaximum(max(0, n - 1))
self.frame_slider.setValue(max(0, row))
self._nav_sync = False
self.pos_label.setText(f"{row + 1 if row >= 0 else 0} / {n}")
def _build_statusbar(self) -> None:
self.progress = QProgressBar()
self.progress.setMaximumWidth(260)
@@ -292,14 +417,17 @@ class MainWindow(QMainWindow):
self.file_list.blockSignals(False)
self.progress.setVisible(False)
self._refresh_collections()
if not files:
self.view.set_image(None, [])
self._update_nav()
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:
self._update_nav()
if current is not None:
self._show(Path(current.data(Qt.UserRole))) # view only — no detection
@@ -335,10 +463,12 @@ class MainWindow(QMainWindow):
def _show(self, path: Path) -> None:
"""Display the image with its cached detections (does not run the detector)."""
self._current = path
self._showing_restored = False
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)
self._update_restore_actions()
def _recompute_current(self) -> None:
"""Toolbar/Space: (re)run the detector on the selected frame."""
@@ -370,6 +500,65 @@ class MainWindow(QMainWindow):
if self._current is not None:
self._show(self._current)
# ------------------------------------------------------------- restoration
def _restore_current(self) -> None:
"""Run the restorer on the current frame's detected regions and show it."""
if self._current is None:
return
key = str(self._current)
if key not in self._results and self._detect(self._current) is None:
return
dets = self._results.get(key) or []
if not dets:
self.statusBar().showMessage("Нет найденных областей — нечего расцензуривать")
return
img = imread_unicode(key)
if img is None:
return
self.statusBar().showMessage(f"Восстановление: {self._current.name}")
QApplication.processEvents()
try:
restored = self._restorer.restore(img, dets)
except Exception as exc: # noqa: BLE001 - surface model/engine errors
QMessageBox.warning(self, "Ошибка восстановления", str(exc))
return
self._restored[key] = restored
self._showing_restored = True
self.view.set_image(restored, [])
self._update_restore_actions()
self.statusBar().showMessage(
f"Расцензурено ({self._restorer.name}): {self._current.name}{len(dets)} обл."
)
def _toggle_restored(self) -> None:
if self._current is None or str(self._current) not in self._restored:
return
self._showing_restored = not self._showing_restored
key = str(self._current)
if self._showing_restored:
self.view.set_image(self._restored[key], [])
else:
self.view.set_image(imread_unicode(key), self._results.get(key) or [])
self._update_restore_actions()
def _update_restore_actions(self) -> None:
has = self._current is not None and str(self._current) in self._restored
self.toggle_restored_action.setEnabled(has)
self.toggle_restored_action.setText(
"Показать оригинал" if self._showing_restored else "Показать результат"
)
self.save_restored_action.setEnabled(has)
def _save_restored(self) -> None:
if self._current is None or str(self._current) not in self._restored:
return
dest_dir = self._collection or self._current.parent
out = self._unique_dest(dest_dir, f"{self._current.stem}_restored.jpg")
if imwrite_unicode(str(out), self._restored[str(self._current)]):
self.statusBar().showMessage(f"Сохранено: {out}")
else:
QMessageBox.warning(self, "Ошибка", "Не удалось сохранить файл.")
# ------------------------------------------------------------ collections
def _collections_base(self) -> Path:
"""Where new collections are created: next to the opened folder, else home."""
@@ -377,6 +566,53 @@ class MainWindow(QMainWindow):
return self._folder.parent
return Path.home() / "HVideoTool" / "collections"
def _refresh_collections(self) -> None:
"""Repopulate the collection combo from sibling folders of the opened folder.
Keeps the active collection selected (and present even if it lives elsewhere).
"""
base = self._collections_base()
subdirs = []
if base.exists():
subdirs = sorted(
(p for p in base.iterdir() if p.is_dir() and p != self._folder),
key=lambda p: p.name.lower(),
)
self.collection_combo.blockSignals(True)
self.collection_combo.clear()
self.collection_combo.addItem("— не выбрана —", None)
for p in subdirs:
self.collection_combo.addItem(p.name, str(p))
# Make sure the active collection is listed even if it's outside base.
if self._collection is not None and self.collection_combo.findData(str(self._collection)) < 0:
self.collection_combo.addItem(self._collection.name, str(self._collection))
self.collection_combo.addItem("Выбрать папку…", "__browse__")
self._select_active_in_combo()
self.collection_combo.blockSignals(False)
def _select_active_in_combo(self) -> None:
idx = self.collection_combo.findData(str(self._collection)) if self._collection else 0
self.collection_combo.setCurrentIndex(max(0, idx))
def _on_collection_selected(self, _index: int) -> None:
data = self.collection_combo.currentData()
if data == "__browse__":
self._browse_collection()
return
self._collection = Path(data) if data else None
if self._collection is not None:
self.statusBar().showMessage(f"Активная коллекция: {self._collection}")
def _browse_collection(self) -> None:
start = str(self._collections_base())
folder = QFileDialog.getExistingDirectory(self, "Выбрать коллекцию", start)
if folder:
self._collection = Path(folder)
self._refresh_collections()
self.statusBar().showMessage(f"Активная коллекция: {folder}")
else:
self._select_active_in_combo() # revert the combo to the current collection
def _create_collection(self) -> None:
name, ok = QInputDialog.getText(self, "Создать коллекцию", "Имя коллекции:")
name = name.strip()
@@ -389,19 +625,14 @@ class MainWindow(QMainWindow):
QMessageBox.warning(self, "Ошибка", f"Не удалось создать коллекцию:\n{exc}")
return
self._collection = path
self._update_collection_label()
self._refresh_collections()
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…»).",
"Сначала выберите коллекцию в списке или создайте новую («Создать…»).",
)
return
items = self.file_list.selectedItems()
@@ -433,6 +664,7 @@ class MainWindow(QMainWindow):
self._show(Path(cur.data(Qt.UserRole)))
elif self.file_list.count() == 0:
self.view.set_image(None, [])
self._update_nav()
@staticmethod
def _unique_dest(folder: Path, name: str) -> Path: