我有一个约8000帧的视频(.mp4)。我有一个csv告诉我在视频中需要抓住每一帧的时间,以及要抓取的帧数。
number_of_frames in video = 8000
times是一个像[0.004, 0.005, ... 732s]
这样的数组
给出的数据中的最后一次是732秒。因此FPS = 8000 / 732 = ~10
我希望能够在特定时间从视频中提取图像帧。然后将这些图像路径写入.csv文件。
我尝试了多种方法: 第一种方法(openCV):
with open('./data/driving.csv', 'w') as csvfile:
fieldnames = ['image_path', 'time', 'speed']
writer = csv.DictWriter(csvfile, fieldnames = fieldnames)
writer.writeheader()
vidcap = cv2.VideoCapture('./data/drive.mp4')
for idx, item in enumerate(ground_truth):
# set video capture to specific time frame
# multiply time by 1000 to convert to milliseconds
vidcap.set(cv2.CAP_PROP_POS_MSEC, item[0] * 1000)
# read in the image
success, image = vidcap.read()
if success:
image_path = os.path.join('./data/IMG/', str(item[0]) +
'.jpg')
# save image to IMG folder
cv2.imwrite(image_path, image)
# write row to driving.csv
writer.writerow({'image_path': image_path,
'time':item[0],
'speed':item[1],
})
然而,这种方法并没有给我所需的总帧数。它只给了我与FPS = 25的视频相对应的帧数。我相信我的FPS = 8000 / 732s = 10.928s。
然后我尝试使用moviepy以类似的方式捕获每个图像:
from moviepy.editor import VideoFileClip
clip1 = VideoFileClip('./data/drive.mp4')
with open('./data/driving.csv', 'w') as csvfile:
fieldnames = ['image_path', 'time', 'speed']
writer = csv.DictWriter(csvfile, fieldnames = fieldnames)
writer.writeheader()
# Path to raw image folder
abs_path_to_IMG = os.path.join('./data/IMG/')
for idx, item in enumerate(ground_truth):
image_path = os.path.join('./data/IMG/', str(item[0]) + '.jpg')
clip1.save_frame(image_path, t = item[0])
# write row to driving.csv
writer.writerow({'image_path': image_path,
'time':item[0],
'speed':item[1],
})
然而,这种方法也不起作用,由于某种原因,我在视频中捕获数百次的最后一帧。
答案 0 :(得分:5)
此代码可以在不同时间提取帧:
import os
from moviepy.editor import *
def extract_frames(movie, times, imgdir):
clip = VideoFileClip(movie)
for t in times:
imgpath = os.path.join(imgdir, '{}.png'.format(t))
clip.save_frame(imgpath, t)
movie = 'movie.mp4'
imgdir = 'frames'
times = 0.1, 0.63, 0.947, 1.2, 3.8, 6.7
extract_frames(movie, times, imgdir)
ground_truth
变量的内容是什么?