dahalsaur / visir-tracker-01

Human-Computer Interaction, Spring Semester 2020, Practical Assignment 1

Practical Assignment 1

Please put your name (or names if you work in a group) here:
Name: Saurav Dahal

Problem 1.1

Calculate Frames-per-Second (FPS) (Points 30)

1. Fork the current repository
2. Study the new framework-code of
   • main.cpp
3. Check that the code is running correctly: it should show the video stream from the web-camera of your laptop.
4. Calculate average fps and print it to console every 2 seconds. Compare Debug and Release versions.

Note

MacOS users may need to launch the application with administrator right, to grant access to the web-camera.

Problem 1.2

Face detection (Points 70)

1. Read the OpenCV documentation about Viola-Jones face detector: Cascade Classifier
2. Implement face detection for the video strem from the web-camera using the cv::CascadeClassifier class.
3. Measure the FPS one more time. How FPS changed after incorporating the face detection into the framework?

Note

Please do not copy-paste the example code from the OpenCV documentation, but try to understand the example code and implement the solution to the problem by yourself.

#Procedure:

sudo pip3 install numpy

pip3 install opencv-python

python3 problem1.py
python3 problem2.py

#Assignment 1 From my computer, the normal average fps computed was around 17.

#Assignment 2 The Cascade classifier fps was also around 17 so the implementation of cascade classifier didn't change time complexity. That means, cascade classifier is very effective.

Reference: https://towardsdatascience.com/face-detection-in-2-minutes-using-opencv-python-90f89d7c0f81