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
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"""Detector factory: build a Detector from AppConfig.
Kept separate from ``app.py`` so both the app bootstrap and the UI can build
detectors without an import cycle. Raises ``ValueError`` (not ``SystemExit``) on
bad config so the GUI can show the message instead of exiting.
"""
from __future__ import annotations
from ...config import AppConfig
from .base import Detector
from .classic_cv import ClassicCVDetector
from .types import CensorType
def _require_model(config: AppConfig) -> str:
if not config.model_path:
raise ValueError(
"Для детектора YOLO укажите путь к весам (.pt) в Параметрах "
"или скачайте модель LADA — см. README."
)
return config.model_path
def build_detector(config: AppConfig) -> Detector:
if config.detector == "classic":
return ClassicCVDetector(config.detection)
if config.detector == "yolo":
from .yolo import YoloDetector # lazy: pulls torch/ultralytics
return YoloDetector(_require_model(config), config.detection)
if config.detector == "combined":
# YOLO handles mosaic; classic-CV handles black bars / blur.
from .composite import CompositeDetector
from .yolo import YoloDetector
return CompositeDetector([
YoloDetector(_require_model(config), config.detection),
ClassicCVDetector(config.detection, types={CensorType.BLACK_BAR, CensorType.BLUR}),
])
raise ValueError(f"Неизвестный детектор: {config.detector!r}")