简介：在AI的数据集采集视频相关的测试中，可能需要将视频拆分成一帧一帧的图片进行保存，然后在从关键帧中定位问题或标注等。我们可以通过cv库对视频进行分成一帧帧的图片进行保存，相当于图片转视频的反向操作。
相关教程：
Python：用ffmpeg多图转视频
源码：
import cv2
import argparse
import os
def get_video_duration(filename):
cap = cv2.VideoCapture(filename)
if cap.isOpened():
rate = cap.get(5)
frame_num = cap.get(7)
duration = frame_num / rate
return duration
return -1
def parse_args(video_file, picture_path, default):
parser = argparse.ArgumentParser(description='Process pic')
parser.add_argument('--input', help='video to process', dest='input', default=None, type=str)
parser.add_argument('--output', help='pic to store', dest='output', default=None, type=str)
# default参数表示间隔多少帧截取一张图片
parser.add_argument('--skip_frame', dest='skip_frame', help='skip number of video', default=default, type=int)
args = parser.parse_args(['--input', video_file, '--output', picture_path])
return args
def process_video(i_video, o_video, num):
cap = cv2.VideoCapture(i_video)
num_frame = cap.get(cv2.CAP_PROP_FRAME_COUNT)
expand_name = '.jpg'
if not cap.isOpened():
print("Please check the path.")
cnt = 0
count = 0
while 1:
ret, frame = cap.read()
cnt += 1
if cnt % num == 0:
count += 1
cv2.imwrite(os.path.join(o_video, str(count) + expand_name), frame)
if not ret:
break
if __name__ == '__main__':
video_file = r"C:\xxxxx\betterPro\videos\duck.mp4"
picture_path = r"C:\xxxxx\betterPro\picture"
frame = 50
cap = cv2.VideoCapture(video_file)
# get方法参数按顺序对应下表 CV_CAP_PROP_FRAME_COUNT
frames_num = cap.get(7)
video_duration = get_video_duration(video_file)
print("拆分视频成图片数目为：", int(frames_num / frame))
args = parse_args(video_file, picture_path, default=frame)
if not os.path.exists(args.output):
os.makedirs(args.output)
process_video(args.input, args.output, args.skip_frame)
例如原视频12秒，帧率50/秒。总帧为372则，实际产生图片数目为：
372 / 50 = 7张。
执行效果：
图片
附获取视频各种参数介绍：如上面的案例cap.get(7)即获取第八个CV_CAP_PROP_FRAME_COUNT #视频总帧数 ， 以此类推。
CV_CAP_PROP_POS_MSEC Current position of the video file in milliseconds or video capture timestamp.
CV_CAP_PROP_POS_FRAMES 0-based index of the frame to be decoded/captured next.
CV_CAP_PROP_POS_AVI_RATIO Relative position of the video file: 0 - start of the film, 1 - end of the film.
CV_CAP_PROP_FRAME_WIDTH #视频帧宽度
CV_CAP_PROP_FRAME_HEIGHT #视频帧高度
CV_CAP_PROP_FPS #视频帧速率
CV_CAP_PROP_FOURCC 4-character code of codec.
CV_CAP_PROP_FRAME_COUNT #视频总帧数
CV_CAP_PROP_FORMAT Format of the Mat objects returned by retrieve() .
CV_CAP_PROP_MODE Backend-specific value indicating the current capture mode.
CV_CAP_PROP_BRIGHTNESS Brightness of the image (only for cameras).
CV_CAP_PROP_CONTRAST Contrast of the image (only for cameras).
CV_CAP_PROP_SATURATION Saturation of the image (only for cameras).
CV_CAP_PROP_HUE Hue of the image (only for cameras).
CV_CAP_PROP_GAIN Gain of the image (only for cameras).
CV_CAP_PROP_EXPOSURE Exposure (only for cameras).
CV_CAP_PROP_CONVERT_RGB Boolean flags indicating whether images should be converted to RGB.
CV_CAP_PROP_WHITE_BALANCE_U The U value of the whitebalance setting (note: only supported by DC1394 v 2.x backend currently)
CV_CAP_PROP_WHITE_BALANCE_V The V value of the whitebalance setting (note: only supported by DC1394 v 2.x backend currently)
CV_CAP_PROP_RECTIFICATION Rectification flag for stereo cameras (note: only supported by DC1394 v 2.x backend currently)
CV_CAP_PROP_ISO_SPEED The ISO speed of the camera (note: only supported by DC1394 v 2.x backend currently)
CV_CAP_PROP_BUFFERSIZE Amount of frames stored in internal buffer memory (note: only supported by DC1394 v 2.x backend currently)
图片
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