Practical Assignment 1

Dealine: 27.09.2021

Please put your name here:
Name: Clichici Calin

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 the administrator rights, to grant access to the web-camera.

Solution: The FPS varies from 17 FPS to 25 FPS during runtime, with a total average of 24.54 FPS at the end.

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 stream 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.

Solution: The implemented face detection algorithm as explained by the OpenCV documentation resulted in a heavy decline in FPS, now averaging between 1 FPS and 3 FPS during runtime, with a total average of 2.49 FPS at the end. Overall, it is a 90% reduction in performance.

Submission

Please submit the assignment by making a pull request. Important : Please make sure that

• No extra files are submitted (except those, which were mentioned in the assignment)
• The changes were made only in those files where you were asked to write your code
• The Continiouse Integration system (appVeyor) can build the submitted code
• The rendered images are also submitted in the folder "renders"