简介:在视频相关测试场景下,例如:有时需要知道全部视频的汇总时长,显然一个个打开并且手工计算耗时耗力,我们可以通过编写脚本进行快速汇总。
获取视频时长的方式:
1、通过subprocess进行获取。
2、通过moviepy库中VideoFileClip获取。
3、通过cv2库获取。
安装:
1、subprocess:无需安装,Python内置。
2、moviepy:pip install moviepy。
3、cv2:pip install opencv-python
准备工序:
1、当前项目新增videos目录。
2、you-get 下载几个视频。python:超实用下载工具you-get
如:下载了两个短视频
图片获取视频时长的3种方式对比:
import cv2
import time
import subprocess
from moviepy.editor import VideoFileClip
def video_duration_1(filename):
start = time.time()
result = subprocess.run(["ffprobe", "-v", "error", "-show_entries",
"format=duration", "-of",
"default=noprint_wrappers=1:nokey=1", filename],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
end = time.time()
spend = end - start
print("获取视频时长方法1耗时:", spend)
return float(result.stdout)
def video_duration_2(filename):
start = time.time()
clip = VideoFileClip(filename)
end = time.time()
spend = end - start
print("获取视频时长方法2耗时:", spend)
return float(clip.duration)
def video_duration_3(filename):
start = time.time()
cap = cv2.VideoCapture(filename)
if cap.isOpened():
rate = cap.get(5)
frame_num = cap.get(7)
duration = frame_num / rate
end = time.time()
spend = end - start
print("获取视频时长方法3耗时:", spend)
return duration
return -1
if __name__ == '__main__':
file = r".\videos\mda-mkbhvebqej3cw9yh.mp4"
video_time_1 = video_duration_1(file)
print(video_time_1)
print("*" * 100)
video_time_2 = video_duration_2(file)
print(video_time_2)
print("*" * 100)
video_time_3 = video_duration_3(file)
print(video_time_3)
执行源码:
图片结论:
1、三种方式均可以正常获取视频时长,并且准确。
2、推荐使用cv2获取视频时长,耗时最短。
实践案例:获取文件夹内全部视频总时长
import cv2
import os
def video_duration(dir_name):
sum_duration = 0
for root, dirs, files in os.walk(dir_name, topdown=False):
for filename in files:
cap = cv2.VideoCapture(dir_name + "\\" + filename)
if cap.isOpened():
rate = cap.get(5)
frame_num = cap.get(7)
duration = frame_num / rate
sum_duration += duration
return sum_duration
if __name__ == '__main__':
file = r".\videos"
total_video_time = video_duration(file)
print(f"{file} 目录下全部视频总时长为:{total_video_time}秒")
图片
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