系列文章目录

文章目录

系列文章目录
前言
一、python视频拆分+图片合成(源码一)
- 1.python视频拆分
- 1.python图片合成
二、python视频拆分+图片合成(源码二)
三、python视频拆分(源码三)
总结

前言

一、python视频拆分+图片合成(源码一)

1.python视频拆分

在这里插入图片描述

import cv2def 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 = 0while success:success, image = vidcap.read()count += 1if count % time_interval == 0:cv2.imencode('.jpg', image)[1].tofile(frames_save_path + "/frame%d.jpg" % count)# if count == 20:#   breakprint(count)if __name__ == '__main__':videos_path = r'E:\py\python3.7\test\test98youhuashiping\shipingchaifen\1.mp4'frames_save_path = r'E:\py\python3.7\test\test98youhuashiping\shipingchaifen'time_interval = 2#隔一帧保存一次video2frame(videos_path, frames_save_path, time_interval)

1.python图片合成

import cv2
import os
import numpy as np
from PIL import Imagedef 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2fourcc = cv2.VideoWriter_fourcc(*'XVID') #opencv版本是3videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)# count = 1for 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)#     breakvideoWriter.release()print('finish')if __name__ == '__main__':im_dir = r'E:\py\python3.7\test\test98youhuashiping\shipingchaifen\pho/'#帧存放路径video_dir = r'E:\py\python3.7\test\test98youhuashiping\shipingchaifen/test.mp4' #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)

提示：路径中不要出现中文和特殊字符，且书写要规范！！

二、python视频拆分+图片合成(源码二)

在这里插入图片描述

import cv2
import numpy as np
import os
os.chdir(r'E:\py\python3.7\test\test98youhuashiping\chaifen')##读取视频，并逐帧分解成图片
cap = cv2.VideoCapture('1.mp4')  #打开一个视频
isOpened = cap.isOpened() #判断是否打开
print(isOpened)#获取视频的相关信息，视频的每一帧图片的宽度都是一致的
fps = cap.get(cv2.CAP_PROP_FPS) #帧率，即每秒钟由多少张图片组成
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) #获取宽度
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) #获取高度
print(fps,width,height)  #输出相关信息i = 0  
while (isOpened):#读取视频的前两秒的图像，共计2*int(fps)张if i ==int(fps)*2 :  breakelse:i = i+1(flag,frame) = cap.read() #读取每一张 flag framefilename = 'image'+str(i)+'.jpg'#将读取的图片写入文件中，if flag == True:cv2.imwrite(filename,frame,[cv2.IMWRITE_JPEG_QUALITY,100])  #确定图片质量，100算是高的
print('end!')   ##读取零散图片(上面分解的图片)，并将其合成视频
img = cv2.imread('image1.jpg')
imginfo = img.shape
size = (imginfo[1],imginfo[0])  #与默认不同，opencv使用 height在前，width在后，所有需要自己重新排序
print(size)#创建写入对象，包括 新建视频名称，每秒钟多少帧图片(10张) ,size大小
#一般人眼最低分辨率为19帧/秒
videoWrite = cv2.VideoWriter('2.mp4',-1,10,size) for i in range(1,40):filename = 'image'+str(i)+'.jpg'img = cv2.imread(filename,1)  #1 表示彩图，0表示灰度图  #直接写入图片对应的数据videoWrite.write(img)  videoWrite.release() #关闭写入对象
print('end')

三、python视频拆分(源码三)

在这里插入图片描述

import cv2 #导入opencv模块
import os
import timedef video_split(video_path,save_path):'''对视频文件切割成帧''''''@param video_path:视频路径@param save_path:保存切分后帧的路径'''vc=cv2.VideoCapture(video_path)#一帧一帧的分割 需要几帧写几c=0if vc.isOpened():rval,frame=vc.read()else:rval=Falsewhile rval:rval,frame=vc.read()# 每秒提取2帧图片if c % 2 == 0:cv2.imwrite(save_path + "/" + str('%06d'%c)+'.jpg',frame)cv2.waitKey(1)c=c+1DATA_DIR = r"E:\py\python3.7\test\test98youhuashiping\ceshi\mp4" #视频数据主目录SAVE_DIR = r"E:\py\python3.7\test\test98youhuashiping\ceshi\pho2" #帧文件保存目录start_time = time.time()
for parents,dirs,filenames in os.walk(DATA_DIR):#if parents == DATA_DIR:#	continueprint("正在处理文件夹",parents)path = parents.replace("\\","//")f = parents.split("\\")[1]save_path = SAVE_DIR + "//" + f# 对每视频数据进行遍历for file in filenames:file_name = file.split(".")[0]save_path_ = save_path + "/" + file_nameif not os.path.isdir(save_path_):os.makedirs(save_path_)video_path = path + "/" + filevideo_split(video_path,save_path_)end_time = time.time()
print("Cost time",start_time - end_time)