Imageiopython包應該做您想要的事情。下面是使用此包的python片段:import pylab
import imageio
filename = '/tmp/file.mp4'
vid = imageio.get_reader(filename, 'ffmpeg')
nums = [10, 287]
for num in nums:
image = vid.get_data(num)
fig = pylab.figure()
fig.suptitle('image #{}'.format(num), fontsize=20)
pylab.imshow(image)
pylab.show()

for i, im in enumerate(vid):
print('Mean of frame %i is %1.1f' % (i, im.mean()))
要安裝imageio,可以使用pip:pip install imageio
另一個解決方案是使用moviepy(它使用類似的代碼來讀取視訊),但我認為imageio更輕,可以完成任務。
對第一條評論的響應
為了檢查整個檔案的标稱幀速率是否相同,可以在疊代器中計算幀數:count = 0
try:
for _ in vid:
count += 1
except RuntimeError:
print('something went wront in iterating, maybee wrong fps number')
finally:
print('number of frames counted {}, number of frames in metada {}'.format(count, vid.get_meta_data()['nframes']))
In [10]: something went wront in iterating, maybee wrong fps number
number of frames counted 454, number of frames in metada 461
為了顯示每個幀的時間戳:try:
for num, image in enumerate(vid.iter_data()):
if num % int(vid._meta['fps']):
continue
else:
fig = pylab.figure()
pylab.imshow(image)
timestamp = float(num)/ vid.get_meta_data()['fps']
print(timestamp)
fig.suptitle('image #{}, timestamp={}'.format(num, timestamp), fontsize=20)
pylab.show()
except RuntimeError:
print('something went wrong')