Fad*_*hin 1 python opencv numpy video-processing
我想编写一个程序,使用 python (cv2) 中的 openCV 来监视和跟踪 2 个不同视频中的对象。
我想将两个视频合并为 1 个视频,然后在该视频上运行一个程序来跟踪对象。
有人可以展示并解释合并它们背后的说明吗?
我这里的代码不起作用。在视频 1 的第一帧后启动视频 2
import cv2
capture = cv2.VideoCapture('p1a_tetris_1.mp4') #tell open cv to use the following video file as input
while capture.isOpened():
ret, frame = capture.read() #capture each frame from the video .
#ret is a boolean to indicate if the
if ret == True :
grayFrame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # apply gray frame to current frame
cv2.imshow('video Part 1', grayFrame) # shows video in grascale
else :
capture = cv2.VideoCapture('p1a_tetris_2.mp4')
while capture.isOpened():
try:
ret, frame = capture.read()
print(ret)
if ret == True :
grayFrame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # apply gray frame to current frame
cv2.imshow('Video Part 2', grayFrame) # shows video in grascale
if cv2.waitKey(1) == 27:
break
else :
break
except :
print("error occured")
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capture.release() cv2.destroyAllWindows()
moviepy大部分为我生成了损坏的文件,所以这里有一个同样快速的方法cv2:
# A list of the paths of your videos
videos = ["v1.mp4", "v2.mp4"]
# Create a new video
video = cv2.VideoWriter("new_video.mp4", cv2.VideoWriter_fourcc(*"MPEG"), fps, resolution)
# Write all the frames sequentially to the new video
for v in videos:
curr_v = cv2.VideoCapture(v)
while curr_v.isOpened():
# Get return value and curr frame of curr video
r, frame = curr_v.read()
if not r:
break
# Write the frame
video.write(frame)
# Save the video
video.release()
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方便复制粘贴的功能:
def concatenate_videos(new_video_path, *videos):
video = cv2.VideoWriter(new_video_path, cv2.VideoWriter_fourcc(*"MPEG"), fps, resolution)
for v in videos:
curr_v = cv2.VideoCapture(v)
while curr_v.isOpened():
r, frame = curr_v.read()
if not r:
break
video.write(frame)
video.release()
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FFMPEG 不是我的解决方案......
我用 moviepy 代替(顺便说一句更简单)
from moviepy.editor import VideoFileClip, concatenate_videoclips
clip_1 = VideoFileClip("p1b_tetris_1.mp4")
clip_2 = VideoFileClip("p1b_tetris_2.mp4")
final_clip = concatenate_videoclips([clip_1,clip_2])
final_clip.write_videofile("final.mp4")
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