# coding=utf-8
# 全局变量
VIDEO_PATH = 'E:\\data\\kinets\\hand\handimg\\p\\z.avi' # 视频地址
EXTRACT_FOLDER = 'E:\\data\\kinets\\hand\handimg\\p\\pic\\' # 存放帧图片的位置
EXTRACT_FREQUENCY = 1 # 帧提取频率
def extract_frames(video_path, dst_folder, index):
# 主操作
import cv2
video = cv2.VideoCapture()
if not video.open(video_path):
print("can not open the video")
exit(1)
count = 1
while True:
_, frame = video.read()
if frame is None:
break
if count % EXTRACT_FREQUENCY == 0:
save_path = "{}/{:>04d}.jpg".format(dst_folder, index)
rows, cols,c = frame.shape
# M = cv2.getRotationMatrix2D(((cols - 1) / 2.0, (rows - 1) / 2.0), 270, 1)
# dst = cv2.warpAffine(frame, M, (cols, rows))
cv2.imwrite(save_path, frame)
index += 1
print('fra
python opencv 视频流转换为图像
最新推荐文章于 2024-08-04 17:00:26 发布