申明:在做图像处理的时候需要使⽤到将顺序标号的图⽚专为视频或者将视频转换为图⽚的功能,现在总结出来与⼤家⼀起分享,以备⾃⼰ 不时之需。
运⾏系统:Ubuntu18.04
吸音海绵
运⾏环境:python3.6.9
1、图⽚转视频
def Pic2Video():
imgPath = "youimgPath" # 读取图⽚路径 videoPath = "youvideoPath" # 保存视频路径
images = os.listdir(imgPath)
fps = 25 # 每秒25帧数
# VideoWriter_fourcc为视频编解码器 ('I', '4', '2', '0') —>(.avi) 、('P', 'I', 'M', 'I')—>(.avi)、('X', 'V', 'I', 'D')—>(.avi)、('T', 'H', 'E', 'O')—>.ogv、('F', 'L', 'V', '1')—>.flv fourcc = VideoWriter_fourcc(*"MJPG")
image = Image.open(imgPath + images[0])
videoWriter = cv2.VideoWriter(videoPath, fourcc, fps, image.size)
for im_name in range(len(images)):
frame = cv2.imread(imgPath + images[im_name]) # 这⾥的路径只能是英⽂路径
# frame = cv2.imdecode(np.fromfile((imgPath + images[im_name]), dtype=np.uint8), 1) # 此句话的路径可以为中⽂路径
print(im_name)
videoWriter.write(frame)
print("图⽚转视频结束!")
cv2.destroyAllWindows()
2、视频转图⽚
def Video2Pic():
videoPath = "youvideoPath" # 读取视频路径
imgPath = "youimgPath" # 保存图⽚路径
cap = cv2.VideoCapture(videoPath)
# fps = (cv2.CAP_PROP_FPS) # 获取帧率
空调架
# width = (cv2.CAP_PROP_FRAME_WIDTH)) # 获取宽度
# height = (cv2.CAP_PROP_FRAME_HEIGHT)) # 获取⾼度
suc = cap.isOpened() # 是否成功打开
frame_count = 0
ngd071while suc:
配料罐
frame_count += 1
suc, frame = ad()
cv2.imwrite(imgPath + str(frame_count).zfill(4), frame)
cv2.waitKey(1)
print("视频转图⽚结束!")
3、主函数
import cv2
工业除尘器制造from cv2 import VideoWriter, VideoWriter_fourcc, imread, resize import os
金属弯管
from PIL import Image
# 此处添加上述两个函数
if __name__ == '__main__':
# Video2Pic()
Pic2Video()
⾄此两个功能都已实现,如有错误,望相互指正。