本文介绍了用PYTHON裁剪视频的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想创建一个功能,可以在某一帧中裁剪视频并将其保存在我的磁盘上 (OpenCV、Moviepy或类似的东西)我用参数指定我的函数作为框架的尺寸以及源名称和目标名称(位置)
def vid_crop(src,dest,l,t,r,b):
# something
# goes
# here
left = 1 #any number (pixels)
top = 2 # ''''
right = 3 # ''''
bottom = 4 # ''''
vid_crop('myvideo.mp4','myvideo_edit.mp4',left,top,right,bottom)
任何建议和想法都非常有用
推荐答案
好的,我想你想要这个
import numpy as np
import cv2
# Open the video
cap = cv2.VideoCapture('vid.mp4')
# Initialize frame counter
cnt = 0
# Some characteristics from the original video
w_frame, h_frame = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps, frames = cap.get(cv2.CAP_PROP_FPS), cap.get(cv2.CAP_PROP_FRAME_COUNT)
# Here you can define your croping values
x,y,h,w = 0,0,100,100
# output
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('result.avi', fourcc, fps, (w, h))
# Now we start
while(cap.isOpened()):
ret, frame = cap.read()
cnt += 1 # Counting frames
# Avoid problems when video finish
if ret==True:
# Croping the frame
crop_frame = frame[y:y+h, x:x+w]
# Percentage
xx = cnt *100/frames
print(int(xx),'%')
# Saving from the desired frames
#if 15 <= cnt <= 90:
# out.write(crop_frame)
# I see the answer now. Here you save all the video
out.write(crop_frame)
# Just to see the video in real time
cv2.imshow('frame',frame)
cv2.imshow('croped',crop_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
cap.release()
out.release()
cv2.destroyAllWindows()
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