使用 Python 将 2 个视频连接成 1 个

Question

我想在 python (cv2) 中使用 openCV 编写一个程序来监视和跟踪 2 个不同视频中的对象。

我想将两个视频合并为一个视频然后运行在该视频上添加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。它在视频 1

的第一帧之后启动视频 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")

capture.release() cv2.destroyAllWindows()

Answer 1

FFMPEG 不是我的解决方案...

我改用了 moviepy（顺便说一句简单多了）

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")

Answer 2

moviepy 对我来说大部分都是损坏的文件，所以这里有一个与 cv2:

一样快的方法

# 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():
        r, frame = curr_v.read()    # Get return value and curr frame of curr video
        if not r:
            break
        video.write(frame)          # Write the frame

video.release()                     # Save the video

Answer 3

    import cv2
    import numpy as np

    def merge_video(video1, video2):

    camera = cv2.VideoCapture(video1)
    cv2.namedWindow("detection", cv2.WINDOW_AUTOSIZE)


    sz = (int(camera.get(cv2.CAP_PROP_FRAME_WIDTH)),
        int(camera.get(cv2.CAP_PROP_FRAME_HEIGHT)))
    fourcc = cv2.VideoWriter_fourcc(*'mpeg')


    vout = cv2.VideoWriter()
    vout.open(os.path.join("output.mp4"), fourcc, 20, sz, True)

    while True:
        res, frame = camera.read()

        if not res:
            break

        cv2.imshow("detection", frame)

        # Save the video frame by frame
        vout.write(frame)

        if cv2.waitKey(110) & 0xff == 27:
                break

    camera = cv2.VideoCapture(video2)
    cv2.namedWindow("detection", cv2.WINDOW_AUTOSIZE)


    while True:
        res, frame = camera.read()

        if not res:
            break

        cv2.imshow("detection", frame)

        # Save the video frame by frame
        vout.write(frame)

        if cv2.waitKey(110) & 0xff == 27:
                break
    vout.release()
    camera.release()

Answer 4

使用numpy.hstack()可能更有效。

import cv2
import numpy as np
 
INPUT_FILE1 = 'im.avi'
INPUT_FILE2 = 'bg.avi'
OUTPUT_FILE = 'merge.avi'
 
reader1 = cv2.VideoCapture(INPUT_FILE1)
reader2 = cv2.VideoCapture(INPUT_FILE2)
width = int(reader1.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(reader1.get(cv2.CAP_PROP_FRAME_HEIGHT))
writer = cv2.VideoWriter(OUTPUT_FILE,
              cv2.VideoWriter_fourcc('I', '4', '2', '0'),
              30, # fps
              (width, height//2)) # resolution
 
print(reader1.isOpened())
print(reader2.isOpened())
have_more_frame = True
c = 0
while have_more_frame:
    have_more_frame, frame1 = reader1.read()
    _, frame2 = reader2.read()
    frame1 = cv2.resize(frame1, (width//2, height//2))
    frame2 = cv2.resize(frame2, (width//2, height//2))
    img = np.hstack((frame1, frame2))
    cv2.waitKey(1)
    writer.write(img)
    c += 1
    print(str(c) + ' is ok')
 
 
writer.release()
reader.release()
cv2.destroyAllWindows()

使用 Python 将 2 个视频连接成 1 个

Concatenate 2 videos into 1 using Python

python

numpy

opencv

video-processing