20 、Python 對視訊進行旋轉 裁剪 合并 寫入幀号

基本思想: 合并多個視訊;進行視訊截取;旋轉視訊;往視訊上寫入幀号;

合并視訊:

from moviepy.editor import *
import os
 
L = []
 
for root, dirs, files in os.walk("./"):
    files.sort()
    for file in files:
        if os.path.splitext(file)[1] == '.mp4':
            filePath = os.path.join(root, file)
            video = VideoFileClip(filePath)
            L.append(video)
 
print(L)
final_clip = concatenate_videoclips(L)

final_clip.to_videofile("./target.mp4", fps=30, remove_temp=False)      

裁剪視訊

ffmpeg -ss 0:1:30 -t 0:0:20 -i input.avi -vcodec copy -acodec copy output.avi    //剪切視訊      

旋轉視訊

import numpy as np
import cv2 
from PIL import Image 
fps= 24
size=(1280,720)
cap = cv2.VideoCapture('source.mp4') 
video_writer = cv2.VideoWriter("TEST.mp4", cv2.VideoWriter_fourcc(*'DIVX'), fps, size)
def rotate_bound(image,angle):
    #擷取圖像的尺寸
    #旋轉中心
    (h,w) = image.shape[:2]
    (cx,cy) = (w/2,h/2)
    
    #設定旋轉矩陣
    M = cv2.getRotationMatrix2D((cx,cy),-angle,1.0)
    cos = np.abs(M[0,0])
    sin = np.abs(M[0,1])
    
    # 計算圖像旋轉後的新邊界
    nW = int((h*sin)+(w*cos))
    nH = int((h*cos)+(w*sin))
    
    # 調整旋轉矩陣的移動距離（t_{x}, t_{y}）
    M[0,2] += (nW/2) - cx
    M[1,2] += (nH/2) - cy
    
    return cv2.warpAffine(image,M,(nW,nH))
 
while(cap.isOpened()): 
 ret, frame = cap.read() 
 img2 = rotate_bound(frame,180)
 video_writer.write(img2)

cap.release() 
cv2.destroyAllWindows()      

import cv2
from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
 
vc = cv2.VideoCapture('/home/ubuntu/Downloads/33.mp4')  # 讀入視訊檔案，命名cv

fps= 24
size=(1280,720)
 
video_writer = cv2.VideoWriter("TEST.mp4", cv2.VideoWriter_fourcc(*'DIVX'), fps, size)


rval= True 
i = 0
while rval: 
    rval, frame = vc.read()
    if not rval:
       break
    cv2img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) 
    pilimg = Image.fromarray(cv2img)

   
    draw = ImageDraw.Draw(pilimg)
    font = ImageFont.truetype("simhei.ttf", 60, encoding="utf-8") 
    draw.text((0, 0), str(i), (255, 0, 0), font=font) 

    i=i+1
    cv2charimg = cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)
    cv2.imshow("photo", cv2charimg)
    video_writer.write(cv2charimg)
    cv2.waitKey (1)
video_writer.release()
cv2.destroyAllWindows()      

import cv2
import numpy as np
default_video="a.mp4"
confidence_video="b.mp4" 
cam1 = cv2.VideoCapture(default_video)
cam2 = cv2.VideoCapture(confidence_video)
 

ww = int(cam1.get(3))
hh = int(cam1.get(4))
print(ww, hh)
print(cam1.get(cv2.CAP_PROP_FPS))
CAMERA_FPS = cam1.get(cv2.CAP_PROP_FPS)  # 25幀/秒
fourcc = cv2.VideoWriter_fourcc(*'DIVX')
videoWriter = cv2.VideoWriter('./a.mp4', fourcc, CAMERA_FPS,(hh * 2, hh))

 
while True:
    # 讀取視訊
    (ok1, frame1) = cam1.read()
    (ok2, frame2) = cam2.read()
    if ok1 and ok2:
        frame1 = cv2.resize(frame1, (hh, hh))
        frame2 = cv2.resize(frame2, (hh, hh))
        cv2.putText(frame1, "default algorithm", (250, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255, 255, 255), 1)
        cv2.putText(frame2, "confidence algorithm", (250, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255, 255, 255), 1)
        image = np.concatenate([frame1, frame2], axis=1) 
        cv2.namedWindow("V",0)
        cv2.imshow("V", image)
        videoWriter.write(image)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
        break
 
videoWriter.release()
cam1.release()
cam2.release()
cv2.destroyAllWindows()