SharePointTaskMaster

OpenCV 4.10.0 now comes with the very new FaceRecognizer class for face recognition, so we can start experimenting with face recognition right away... Full detail at https://docs.opencv.org/3.4/da/d60/tutorial_face_main.html

The Principal Component Analysis (PCA), which is the core of the Eigenfaces method, finds a linear combination of features that maximizes the total variance in data. While this is clearly a powerful way to represent data, it doesn't consider any classes and so a lot of discriminative information may be lost when throwing components away. Imagine a situation where the variance in your data is generated by an external source, let it be the light.

Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments.

How get, build and install Dlib?

1. Get from github

2. build by pip install build

3. The build result of dlib as dlib-19.24.99-cp311-cp311-win_amd64.whl file location

4.

CMake Features 

cmake --help

OpenCV by CMake

How to create and build a CMake project?

A CMake project structure

src\main.cpp

CMakeLists.txt

Build files have been written to Build folder by [cmake ..] command

[cmake --build .] OK

run [hello.exe] OK

How about the OpenCV that build by CMake?

Code of a OpenCV example

cmake ..

cmake --build .

The result of detection face(s) from a photo

Code

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The detection result with source from live camera

Code

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Not total correctly 100%!  

The questions with answer is a choice so complicated for AI: More correctly by question only, no choice! I did test by give AI Chatbot the question only so the answer is very good!

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Result of moving ball to there positions

Code

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Dragging and Painting Jesus name

Code

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Draw Flags of Japan and France

Code

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So we capture a video and process it frame-by-frame, and we want to save that video. For images, it is very simple: just use cv.imwrite(). Here, a little more work is required.

This time we create a VideoWriter object. We should specify the output file name (eg: output.avi). Then we should specify the FourCC code (details in next paragraph). Then number of frames per second (fps) and frame size should be passed. And the last one is the isColor flag.