mirror of
https://github.com/YaoFANGUK/video-subtitle-remover.git
synced 2026-04-14 16:47:31 +08:00
f78e985e1c
添加任务列表组件并优化视频加载逻辑 支持可视化显示字幕区域 整理所有模型, 分别为STTN智能擦除, STTN字幕检测, LAMA, ProPainter, OpenCV 提高处理性能 新增CPU运行模式并优化多语言支持 修复Propainter模式部分视频报错 本次提交新增了CPU运行模式，适用于无GPU加速的场景。同时，优化了多语言支持，新增了日语、韩语、越南语等语言配置文件，并更新了README文档以反映新的运行模式和多语言支持。此外，修复了部分代码逻辑，提升了系统的稳定性和兼容性。
59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
import os
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import sys
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import ctypes
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import cv2
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import numpy as np
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from fsplit.filesplit import Filesplit
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video_extensions = {
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'.mp4', '.m4a', '.m4v', '.f4v', '.f4a', '.m4b', '.m4r', '.f4b', '.mov',
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'.3gp', '.3gp2', '.3g2', '.3gpp', '.3gpp2', '.ogg', '.oga', '.ogv', '.ogx',
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'.wmv', '.wma', '.asf', '.webm', '.flv', '.avi', '.gifv', '.mkv', '.rm',
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'.rmvb', '.vob', '.dvd', '.mpg', '.mpeg', '.mp2', '.mpe', '.mpv', '.mpg',
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'.mpeg', '.m2v', '.svi', '.3gp', '.mxf', '.roq', '.nsv', '.flv', '.f4v',
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'.f4p', '.f4a', '.f4b'
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}
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image_extensions = {
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'.jpg', '.jpeg', '.jpe', '.jif', '.jfif', '.jfi', '.png', '.gif',
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'.webp', '.tiff', '.tif', '.psd', '.raw', '.arw', '.cr2', '.nrw',
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'.k25', '.bmp', '.dib', '.heif', '.heic', '.ind', '.indd', '.indt',
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'.jp2', '.j2k', '.jpf', '.jpx', '.jpm', '.mj2', '.svg', '.svgz',
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'.ai', '.eps', '.ico'
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}
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def is_video_file(filename):
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return os.path.splitext(filename)[-1].lower() in video_extensions
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def is_image_file(filename):
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return os.path.splitext(filename)[-1].lower() in image_extensions
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def is_video_or_image(filename):
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file_extension = os.path.splitext(filename)[-1].lower()
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# 检查扩展名是否在定义的视频或图片文件后缀集合中
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return file_extension in video_extensions or file_extension in image_extensions
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def merge_big_file_if_not_exists(dir, file):
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if file not in os.listdir(dir):
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fs = Filesplit()
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fs.merge(input_dir=dir)
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def get_readable_path(path):
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if sys.platform != 'win32':
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return path
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buf = ctypes.create_unicode_buffer(4096)
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ctypes.windll.kernel32.GetShortPathNameW(path, buf, 4096)
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return buf.value
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def read_image(path):
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if os.path.getsize(path) > 100*1024*1024: # 100MB
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print(f"Image {path} is too large, skip")
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return None
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img = cv2.imdecode(np.fromfile(path, dtype=np.uint8), -1)
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if img is not None and img.shape[-1] == 4:
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img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
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return img |