環境準備

1、安裝 FFmpeg

音/視訊工具 FFmpeg 簡易安裝文件

2、安裝 ffmpeg-python

pip3 install ffmpeg-python

3、【可選】安裝 opencv-python

pip3 install opencv-python

4、【可選】安裝 numpy

pip3 install numpy

視訊幀提取

準備視訊素材

抖音視訊素材下載：https://anoyi.com/dy/top

基於視訊幀數提取任意一幀

import ffmpeg
import numpy
import cv2
import sys
import random


def read_frame_as_jpeg(in_file,frame_num):
  """
  指定幀數讀取任意幀
  """
  out,err = (
    ffmpeg.input(in_file)
       .filter('select','gte(n,{})'.format(frame_num))
       .output('pipe:',vframes=1,format='image2',vcodec='mjpeg')
       .run(capture_stdout=True)
  )
  return out


def get_video_info(in_file):
  """
  獲取視訊基本資訊
  """
  try:
    probe = ffmpeg.probe(in_file)
    video_stream = next((stream for stream in probe['streams'] if stream['codec_type'] == 'video'),None)
    if video_stream is None:
      print('No video stream found',file=sys.stderr)
      sys.exit(1)
    return video_stream
  except ffmpeg.Error as err:
    print(str(err.stderr,encoding='utf8'))
    sys.exit(1)


if __name__ == '__main__':
  file_path = '/Users/admin/Downloads/拜無憂.mp4'
  video_info = get_video_info(file_path)
  total_frames = int(video_info['nb_frames'])
  print('總幀數：' + str(total_frames))
  random_frame = random.randint(1,total_frames)
  print('隨機幀：' + str(random_frame))
  out = read_frame_as_jpeg(file_path,random_frame)
  image_array = numpy.asarray(bytearray(out),dtype="uint8")
  image = cv2.imdecode(image_array,cv2.IMREAD_COLOR)
  cv2.imshow('frame',image)
  cv2.waitKey()

基於時間提取任意一幀

import ffmpeg
import numpy
import cv2
import sys
import random


def read_frame_by_time(in_file,time):
  """
  指定時間節點讀取任意幀
  """
  out,err = (
    ffmpeg.input(in_file,ss=time)
       .output('pipe:',encoding='utf8'))
    sys.exit(1)

if __name__ == '__main__':
  file_path = '/Users/admin/Downloads/拜無憂.mp4'
  video_info = get_video_info(file_path)
  total_duration = video_info['duration']
  print('總時間：' + total_duration + 's')
  random_time = random.randint(1,int(float(total_duration)) - 1) + random.random()
  print('隨機時間：' + str(random_time) + 's')
  out = read_frame_by_time(file_path,random_time)
  image_array = numpy.asarray(bytearray(out),image)
  cv2.waitKey()

相關資料
https://github.com/kkroening/ffmpeg-python/tree/master/examples

以上就是本文的全部內容，希望對大家的學習有所幫助，也希望大家多多支援我們。