Stabilizer Class

Stabilizer

This is an auxiliary class that enables Real-time Video Stabilization for vidgear with minimalistic latency and at the expense of little to no additional computational power requirement. It tracks the salient feature array of frames and uses this as an anchor point to cancel out all perturbations relative to it.

Features :

• Real-time stabilization with low latency and no extra resources.
• Works exceptionally well with low-frequency jitter.
• Compatible with any vidgear's video streams including live network streams.
• Works both standalone and with VidGear Multi-Threaded Classes.

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Notes: 💡

• Remember: This feature as of now is available with testing branch only!
• The stabilizer may not perform well against High-frequency jitter in video. Use at your own risk!

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Importing:

You can import this class as follows:

from vidgear.stabilizer import Stabilizer

 

Usage: 🔨

Firstly, Kindly clone and install the testing branch as follows:

git clone git clone https://github.com/abhiTronix/vidgear.git
cd testing
git checkout testing
sudo pip install .
cd

1. Using Stabilizer Class Directly with OpenCV

See here for details and complete example

2. Using Stabilizer Class with VidGear Multi-Threaded Classes

See here for details and complete example

 

Attributes and Parameters: 🔧

• smoothing_radius (int) : to alter averaging window size. It handles the quality of stabilization at the expense of latency and sudden panning. Larger its value, less will be panning, more will be latency and vice-versa. Its default value is 25.
• border_size (int) : to alter output border cropping. It's will crop the border to reduce the black borders from stabilization being too noticeable. Larger its value more will be cropping. Its default value is 0 (i.e. no cropping).
• border_type (string) : to change the border mode. Valid border types are 'black', 'reflect', 'reflect_101', 'replicate' and 'wrap'. Its default value is 'black' logging: set this flag to enable/disable error logging essential for debugging. Its default value is False.