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
开源技术9 分钟前
Python Pillow 优化,打开和保存速度最快提高14倍
开发语言·python·pillow
学嵌入式的小杨同学15 分钟前
从零打造 Linux 终端 MP3 播放器!用 C 语言实现音乐自由
linux·c语言·开发语言·前端·vscode·ci/cd·vim
Li emily1 小时前
解决港股实时行情数据 API 接入难题
人工智能·python·fastapi
wfeqhfxz25887821 小时前
农田杂草检测与识别系统基于YOLO11实现六种杂草自动识别_1
python
mftang2 小时前
Python 字符串拼接成字节详解
开发语言·python
0思必得02 小时前
[Web自动化] Selenium设置相关执行文件路径
前端·爬虫·python·selenium·自动化
石去皿2 小时前
大模型面试通关指南:28道高频考题深度解析与实战要点
人工智能·python·面试·职场和发展
jasligea2 小时前
构建个人智能助手
开发语言·python·自然语言处理
kokunka2 小时前
【源码+注释】纯C++小游戏开发之射击小球游戏
开发语言·c++·游戏
测试秃头怪2 小时前
面试大厂就靠这份软件测试八股文了【含答案】
自动化测试·软件测试·python·功能测试·面试·职场和发展·单元测试