MAC使用python下载字幕

安装软件

brew install tesseract

安装pytesseract和pillow

复制代码
pip install pytesseract
pip install pillow

pip install SpeechRecognition

pip3 install soundfile

pip3 install torch 

pip3 install whisper

脚本参考:

python 复制代码
import os
import sys

import cv2
import pytesseract
import speech_recognition as sr
from moviepy.video.io.VideoFileClip import VideoFileClip
from pydub import AudioSegment


def extract_subtitles(video_path, output_dir):
    audio = AudioSegment.from_file(video_path, format='mp4')
    audio.export("audio.wav", format="wav")

    r = sr.Recognizer()
    audio_file = sr.AudioFile('audio.wav')
    with audio_file as source:
        audio = r.record(source)
    text = r.recognize_whisper(audio)

    print(text)


def extract_subtitles_v2(video_path, output_dir):
    r = sr.Recognizer()
    clip = VideoFileClip(video_path)
    clip.audio.write_audiofile('audio.wav')
    sound = AudioSegment.from_file('audio.wav', format='wav')

    def transcribe_audio(sound):
        transcript = ''
        with sr.AudioFile(sound) as source:
            audio_text = r.record(source)
            try:
                transcript = r.recognize_whisper(audio_text)
            except sr.UnknownValueError as e:
                print(e)
        return transcript

    transcription = transcribe_audio(sound)
    print(transcription)


def extract_subtitles_v1(video_path, output_dir):
    vidcap = cv2.VideoCapture(video_path)

    frames = []
    success, image = vidcap.read()

    count = 0
    success = True

    while success:
        frames.append(image)
        success, image = vidcap.read()
        count += 1

    # lang='chi_sim'
    for frame in frames:
        # text = pytesseract.image_to_string(frame, lang='eng')
        text = pytesseract.image_to_string(frame, lang='chi_sim')
        print(text)


def extract_subtitles_v3(video_path, output_dir):
    vidcap = cv2.VideoCapture(video_path)

    frames = []
    success, image = vidcap.read()

    count = 0
    success = True

    while success:
        success, image = vidcap.read()
        text = pytesseract.image_to_string(image, lang='chi_sim')
        print(text)
        count += 1


if __name__ == '__main__':
    current_dir = os.getcwd()
    print("current_dir:", current_dir)
    # current_dir + "/" + "png"
    # current_dir + "/" + "png"
    # args: ['merge.py', 'png', 'png']

    args = sys.argv
    print('args:', args)
    input_dir = args[1]
    output_dir = args[2]
    # extract_subtitles(input_dir, output_dir)
    # extract_subtitles_v1(input_dir, output_dir)
    extract_subtitles_v3(input_dir, output_dir)
相关推荐
流星白龙10 分钟前
【Qt】7.信号和槽_connect函数用法(1)
开发语言·数据库·qt
2501_9151063215 分钟前
iOS 26 系统流畅度测试实战分享,多工具组合辅助策略
android·macos·ios·小程序·uni-app·cocoa·iphone
程序猿小D25 分钟前
【完整源码+数据集+部署教程】 【零售和消费品&存货】【无人零售】自动售卖机饮料检测系统源码&数据集全套:改进yolo11-KernelWarehouse
python·yolo·计算机视觉·目标跟踪·数据集·yolo11·自动售卖机饮料检测系统
小龙报26 分钟前
《算法通关指南---C++编程篇(1)》
开发语言·c++·程序人生·算法·学习方法·visual studio
寒怜z27 分钟前
python 景区游客量统计
python
Digitally33 分钟前
如何将 iPhone 联系人同步到 Mac
macos·ios·iphone
程序员晚枫33 分钟前
Python 3.14发布:多解释器让性能飙升300%,GIL时代即将终结!
python
程序猿小D34 分钟前
【完整源码+数据集+部署教程】 【零售和消费品&存货】条形码检测系统源码&数据集全套:改进yolo11-TADDH
python·yolo·计算机视觉·目标跟踪·数据集·yolo11·条形码检测系统
Cx330❀35 分钟前
《C++ 手搓list容器底层》:从结构原理深度解析到功能实现(附源码版)
开发语言·数据结构·c++·经验分享·算法·list
废弃的小码农1 小时前
测试基础--Day01--软件测试基础理论
python·功能测试·测试工具