Files
video-subtitle-remover/backend/tools/common_tools.py
Jason 7cf4e882cd 初步支持 macOS (Apple Silicon)
升级至PP-OCRv5
Tested with Python 3.13
感谢用户 "期望" 提供的macOS设备用于开发测试
2025-05-22 13:02:28 +08:00

61 lines
2.1 KiB
Python

import os
import sys
import ctypes
import cv2
import numpy as np
from fsplit.filesplit import Filesplit
video_extensions = {
'.mp4', '.m4a', '.m4v', '.f4v', '.f4a', '.m4b', '.m4r', '.f4b', '.mov',
'.3gp', '.3gp2', '.3g2', '.3gpp', '.3gpp2', '.ogg', '.oga', '.ogv', '.ogx',
'.wmv', '.wma', '.asf', '.webm', '.flv', '.avi', '.gifv', '.mkv', '.rm',
'.rmvb', '.vob', '.dvd', '.mpg', '.mpeg', '.mp2', '.mpe', '.mpv', '.mpg',
'.mpeg', '.m2v', '.svi', '.3gp', '.mxf', '.roq', '.nsv', '.flv', '.f4v',
'.f4p', '.f4a', '.f4b'
}
image_extensions = {
'.jpg', '.jpeg', '.jpe', '.jif', '.jfif', '.jfi', '.png', '.gif',
'.webp', '.tiff', '.tif', '.psd', '.raw', '.arw', '.cr2', '.nrw',
'.k25', '.bmp', '.dib', '.heif', '.heic', '.ind', '.indd', '.indt',
'.jp2', '.j2k', '.jpf', '.jpx', '.jpm', '.mj2', '.svg', '.svgz',
'.ai', '.eps', '.ico'
}
def is_video_file(filename):
return os.path.splitext(filename)[-1].lower() in video_extensions
def is_image_file(filename):
return os.path.splitext(filename)[-1].lower() in image_extensions
def is_video_or_image(filename):
file_extension = os.path.splitext(filename)[-1].lower()
# 检查扩展名是否在定义的视频或图片文件后缀集合中
return file_extension in video_extensions or file_extension in image_extensions
def merge_big_file_if_not_exists(dir, file, man_filename = None):
if file not in os.listdir(dir):
fs = Filesplit()
if man_filename is not None:
fs.man_filename = man_filename
fs.merge(input_dir=dir)
def get_readable_path(path):
if sys.platform != 'win32':
return path
buf = ctypes.create_unicode_buffer(4096)
ctypes.windll.kernel32.GetShortPathNameW(path, buf, 4096)
return buf.value
def read_image(path):
if os.path.getsize(path) > 100*1024*1024: # 100MB
print(f"Image {path} is too large, skip")
return None
img = cv2.imdecode(np.fromfile(path, dtype=np.uint8), -1)
if img is not None and img.shape[-1] == 4:
img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
return img