Created
October 15, 2019 10:04
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This gist describes serialising a video, frame by frame, and then reconstructing the image using opencv and ffmpeg
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import subprocess as sp | |
import cv2 as cv | |
import numpy as np | |
import ffmpeg | |
probe = ffmpeg.probe('/home/jyotendra/Videos/pandas.mp4') | |
video_info = next(s for s in probe['streams'] if s['codec_type'] == 'video') | |
width = int(video_info['width']) | |
height = int(video_info['height']) | |
num_frames = int(video_info['nb_frames']) | |
command = ["ffmpeg", "-i", "/home/jyotendra/Videos/pandas.mp4", "-f", "image2pipe", "-pix_fmt", "rgb24", "-vcodec", "rawvideo", "-"] | |
pipe = sp.Popen(command, stdout = sp.PIPE, bufsize=10**8) | |
for i in [*range(300)]: | |
raw_image = pipe.stdout.read(width * height * 3) | |
# print("img" + str(raw_image) + "\n") | |
image = np.fromstring(raw_image, dtype='uint8') | |
if image.size > 0: | |
image = image.reshape((height, width, 3)) | |
# image = cv.cvtColor(image, cv.COLOR_RGB2BGR) | |
cv.imwrite("test"+str(i)+".jpg", image) | |
# print(image) | |
pipe.stdout.flush() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import subprocess as sp | |
import cv2 as cv | |
import numpy as np | |
import ffmpeg | |
probe = ffmpeg.probe('/home/jyotendra/Videos/pandas.mp4') | |
video_info = next(s for s in probe['streams'] if s['codec_type'] == 'video') | |
width = int(video_info['width']) | |
height = int(video_info['height']) | |
num_frames = int(video_info['nb_frames']) | |
command = ["ffmpeg", "-i", "/home/jyotendra/Videos/pandas.mp4", "-vf", "scale=420:360", "-f", "image2pipe", "-pix_fmt", "rgb24", "-vcodec", "rawvideo", "-"] | |
pipe = sp.Popen(command, stdout = sp.PIPE, bufsize=10**8) | |
for i in [*range(300)]: | |
raw_image = pipe.stdout.read(420 * 360 * 3) | |
# print("img" + str(raw_image) + "\n") | |
image = np.fromstring(raw_image, dtype='uint8') | |
if image.size > 0: | |
image = image.reshape((360, 420, 3)) | |
image = cv.cvtColor(image, cv.COLOR_RGB2BGR) | |
cv.imwrite("test"+str(i)+".jpg", image) | |
# print(image) | |
pipe.stdout.flush() |
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