Optical Flow demo

This contains the code for Optical Flow in OpenCV (C++/Python) post For more information - visit Optical Flow in OpenCV (C++/Python)

Python

Installation

Before you start the demo of Optical Flow calculation, you need to create a virtual environment in your working directory and install the required libraries:

virtualenv -p python3.7 venv
source venv/bin/activate
pip install -r reqirements.txt

Sparse Optical Flow

There is a demo lucas_kanade.py script of Lucas-Kanade algorithm which can be run with this command:

python3 demo.py --algorithm lucaskanade --video_path videos/car.mp4

Dense Optical Flow

The wrapper of Dense Optical Flow algorithms dense_optical_flow.py can run a couple of OpenCV's algorithm implementations:

• To start the Dense Lucas-Kanade algorithm:

  python3 demo.py --algorithm lucaskanade_dense --video_path videos/people.mp4
  
• To start the Farneback algorithm:

  python3 demo.py --algorithm farneback --video_path videos/people.mp4
  
• To start the RLOF algorithm:

  python3 demo.py --algorithm rlof --video_path videos/people.mp4
  

C++

Installation

Before you start the demo of Optical Flow calculation, you need to build the project:

cd algorithms
cmake .
make

Sparse Optical Flow

There is a demo lucas_kanade.cpp script of Lucas-Kanade algorithm which can be run with this command:

./OpticalFlow ../videos/car.mp4 lucaskanade

Dense Optical Flow

The wrapper of Dense Optical Flow algorithms dense_optical_flow.py can run a couple of OpenCV's algorithm implementations:

• To start the Dense Lucas-Kanade algorithm:

  ./OpticalFlow ../videos/car.mp4 lucaskanade_dense
  
• To start the Farneback algorithm:

  ./OpticalFlow ../videos/car.mp4 farneback
  
• To start the RLOF algorithm:

  ./OpticalFlow ../videos/car.mp4 rlof
  

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