image-to-video

A little script I wrote in Python 2.7 and OpenCV 3 to make a still image appear like a video recording.

The aim of the program is to keep the output reasonably realistic while also performing data augmentation to get a seemingly limitless video feed.

Features

• Randomized image panning
• Randomized image rotation
• Occasional defocusing with slight zoom (note that true bokeh blurring is technically impossible to simulate, but Gaussian blurring is a decent approximation of it, so I've used that instead)
• White balance (brightness adjusts as the image moves)
• Motion blurring (again, a very rough implementation, since a realistic one is hard to simulate with just a single image)
• All of these are parametized, so it's very easy to tweak the output to your liking. I haven't experimented with the parameters much myself, but you should be able to get a pretty realistic output.

Demo

Sample video This example shows the program in action with a ROS wrapper that takes a picture from the webcam (using cv_camera, not shown in the video) and displays a video output.

Requirements

• OpenCV
• NumPy

Usage

Pretty straightforward. Pass the file name as a parameter: python augment.py filename.jpg

To exit, hit q.