videoio 0.1.2

Module for saving and loading images and depth as H.264 video

videoio: save/load image sequence as H.264 video

A small Python module for saving and loading RGB and uint16 (depth) frames as H.264 encoded video

Quickstart

Save/load RGB frames:

import numpy as np
from videoio import videosave, videoread
frames = np.random.random((20,200,400,3)) #[framesNr, height, width, RGB]
# Save to video
videosave("out.mp4", frames)
# Load from video
frames = videoread("out.mp4")

Read frames sequentially:

from videoio import VideoReader
for frame in VideoReader("in.mp4"):
    do_something_with(frame)

Write frames sequentially:

from videoio import VideoWriter
writer = VideoWriter("out.mp4", resolution=(400, 200)) #[width, height]
for i in range(100):
    frame = get_frame()
    writer.write(frame)
writer.close()

or

with VideoWriter("out.mp4", resolution=(400, 200)) as writer:
    for i in range(100):
        frame = get_frame()
        writer.write(frame)

Lossless write/read of uint16 3D arrays (useful for saving depth frames stored in mm, for example Kinect data):

import numpy as np
from videoio import uint16save, uint16read
# Generate 20 random depth frames
depth_frames = (np.random.random((20,200,400))*65535).astype(np.uint16)
# Save
uint16save("out_depth.mp4", depth_frames)
# Load
depth_frames = uint16read("out_depth.mp4")

Save RGB frames in lossless mode with different compression preset and different FPS:

videosave("out.mp4", frames, lossless=True, preset="veryfast", fps=10.5)

Read RGB frames and scale them to target resolution simultaneously:

frames = videoread("in.mp4", output_resolution=(100, 250))

Prerequisites

• ffmpeg with libx264 enabled and ffprobe (usually comes with ffmpeg)
• numpy
• ffmpeg-python

Installation

From pip:

pip install videoio

From source:

git clone https://github.com/vguzov/videoio.git
python setup.py install