10-视频图像读取与保存

1. 截取图像的ROI区域并保存

import cv2

img_01 = cv2.imread("E:\zpp\ImageLabel\test\0.jpg")

# img_01_gray = cv2.cvtColor(img_01, cv2.COLOR_BGR2GRAY)
# res, img_01_bin = cv2.threshold(img_01_gray, 20, 255, cv2.THRESH_BINARY)


path = "E:\zpp\ImageLabel\test\"

savePath = "E:\zpp\ImageLabel\test_new\"

for i in range(30):

    if(i>9):
        img_path = path +str(i) +".jpg"
        img_02 = cv2.imread(img_path)

        img_save_path = savePath +str(i) +".jpg"

        crop_img = img_02[140:1360, 20:1070,:]
        img_01[150:1370, 200:1250, :] = crop_img
        
    # cv2.imshow("01", crop_img)
        cv2.imshow("02",  img_01)
        cv2.imwrite(img_save_path, img_01)
        
        cv2.waitKey(1)

2. 读取连续帧图像，可对每帧图像进行处理，然后保存为视频文件；

import cv2

#图片路径
imgPath = "E:\zpp\ImageLabel\02_CamAnnoTool\"
#输出视频路径
video_dir = 'E:\zpp\ImageLabel\02_CamAnnoTool\out.avi'
#帧率
fps = 30  
#图片数 
num = 6
#图片尺寸
img_size = (1920, 1080)

fourcc = cv2.VideoWriter_fourcc('M','J','P','G') #opencv3.0
videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)
frame_count =0

for i in range(123):

    imgName = imgPath + str(i)+ ".jpg"
    frame = cv2.imread(imgName)

    if i == 122:
        frame_count = 150
        

        
        for j in range(frame_count):
            frame = cv2.resize(frame, (1920,1080))
            videoWriter.write(frame)

    else:
        frame_count = 50

   
   

3. 读取视频图像，可对每帧图像进行处理，然后保存为新的视频文件。

import cv2

#输出视频路径
video_dir = 'E:\zpp\ImageLabel\04_CamAnnoTool\out.avi'

#帧率
fps = 30  
#图片数 
num = 6
#图片尺寸
img_size = (1920, 1080)

fourcc = cv2.VideoWriter_fourcc('M','J','P','G') #opencv3.0
videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)

 
cap = cv2.VideoCapture("F:/FFOutput/6.mp4")#打开视频
i=0
while cap.isOpened():
    ret,frame = cap.read()#读取视频返回视频是否结束的bool值和每一帧的图像

    if frame  is None:
        break

    cv2.imshow('a',frame)
    cv2.waitKey(1)

    frame = cv2.resize(frame, (1920,1080))
    videoWriter.write(frame)

    # cv2.imwrite("F:/image/Demo04/"+str(i)+".bmp",frame)
    i = i+1
    # cv2.destroyAllWindows()

img = cv2.imread("E:\zpp\ImageLabel\02_CamAnnoTool\70.jpg")

for j in range(50):
    frameEnd = cv2.resize(img, (1920,1080))
    videoWriter.write(frameEnd)

print(i)