python-----opencv读视频循环读图片显示进度条

Posted 2021-02-02 小呆丶

功能：opencv读视频，显示进度条，推动进度条快进、后退，按q退出。代码如下：

import os
import cv2
def nothing(emp):
    pass
def jindu(name,video):
    cv2.namedWindow(name,0)
    cv2.resizeWindow(name, 800, 600)
    cap = cv2.VideoCapture(video)
    frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
    loop_flag = 0
    pos = 0
    cv2.createTrackbar(‘time‘, name, 0, frames, nothing)

    while 1:
        if loop_flag == pos:
            loop_flag = loop_flag + 1
            cv2.setTrackbarPos(‘time‘, name, loop_flag)
            print(‘loop_flag1‘, loop_flag)
        else:
            pos = cv2.getTrackbarPos(‘time‘, name)
            loop_flag = pos
            cap.set(cv2.CAP_PROP_POS_FRAMES, pos)
            print(‘loop_flag2‘, loop_flag)
        ret, img = cap.read()

        cv2.imshow(name, img)
        if cv2.waitKey(1) & 0xFF == ord(‘q‘): #按q退出
            cv2.waitKey(0)

if __name__ == ‘__main__‘:
    video = r"D:Team-CVvideo_wang	est/1.MOV"
    name = video.split(‘.‘)[-1]
    jindu(name, video)

功能：opencv循环读图片，显示进度条，推动进度条快进、后退，按q退出。代码如下：

import os
import cv2
def nothing(emp):
    pass

def jindu_imgpath(name,frames):
    cv2.namedWindow(name,0)
    cv2.resizeWindow(name, 800, 600)
    loop_flag = 0
    pos = 0
    cv2.createTrackbar(‘time‘, name, 0, frames, nothing)
    path_list = os.listdir(img_path)
    for m, img in enumerate(path_list):
        img_file = img_path + ‘/‘ + img
        img_new = cv2.imread(img_file)
        if cv2.waitKey(1) & 0xFF == ord(‘q‘):
            cv2.waitKey(0)
        if loop_flag == pos:
            loop_flag = loop_flag + 1
            cv2.setTrackbarPos(‘time‘, name, loop_flag)
        else:
            pos = cv2.getTrackbarPos(‘time‘, name)
            loop_flag = pos
        img = path_list[loop_flag]
        img_file = img_path + ‘/‘ + img
        img_new = cv2.imread(img_file)
        cv2.imshow(name, img_new)

if __name__ == ‘__main__‘:
    img_path = r"D:Team-CVvideo_wang	estJPEGImages"
    frames = len(os.listdir(img_path))
    jindu_imgpath(‘img‘, frames)