一、视频切分成帧
import cv2
def video2frame(videos_path,frames_save_path,time_interval):
'''
:param videos_path: 视频的存放路径
:param frames_save_path: 视频切分成帧之后图片的保存路径
:param time_interval: 保存间隔
:return:
'''
vidcap = cv2.VideoCapture(videos_path)
success, image = vidcap.read()
count = 0
while success:
success, image = vidcap.read()
count += 1
if count % time_interval == 0:
cv2.imencode('.jpg', image)[1].tofile(frames_save_path + "/frame%d.jpg" % count)
# if count == 20:
# break
print(count)
if __name__ == '__main__':
videos_path = 'D:\测试\测试视频01.mp4'
frames_save_path = 'D:\测试\测试视频01'
time_interval = 2#隔一帧保存一次
video2frame(videos_path, frames_save_path, time_interval)
二、帧合成视频
import cv2
import os
import numpy as np
from PIL import Image
def frame2video(im_dir,video_dir,fps):
im_list = os.listdir(im_dir)
im_list.sort(key=lambda x: int(x.replace("frame","").split('.')[0])) #最好再看看图片顺序对不
img = Image.open(os.path.join(im_dir,im_list[0]))
img_size = img.size #获得图片分辨率，im_dir文件夹下的图片分辨率需要一致
# fourcc = cv2.cv.CV_FOURCC('M','J','P','G') #opencv版本是2
fourcc = cv2.VideoWriter_fourcc(*'XVID') #opencv版本是3
videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)
# count = 1
for i in im_list:
im_name = os.path.join(im_dir+i)
frame = cv2.imdecode(np.fromfile(im_name, dtype=np.uint8), -1)
videoWriter.write(frame)
# count+=1
# if (count == 200):
# print(im_name)
# break
videoWriter.release()
print('finish')
if __name__ == '__main__':
im_dir = 'E:/测试/图片/'#帧存放路径
video_dir = 'E:\测试/test.avi' #合成视频存放的路径
fps = 30 #帧率，每秒钟帧数越多，所显示的动作就会越流畅
frame2video(im_dir, video_dir, fps)
