face-recognition | Deep face recognition with Keras , Dlib and OpenCV | Computer Vision library

Fortunately, I solved the problem. These are the steps to download face_recognition Library:

in the command prompt write python and click Enter, this will open Microsoft store for you, "click download" or "install" to download and install python. "to check if it is downloaded or not type python in the command prompt

go to: https://pypi.org/project/pip-download/ click download files. Now open the downloaded file, then click right click with the mouse and choose "open in windows terminal". now type the command python get-pip.py. now your pip should be installed, type pip in the terminal to check if it is installed

go to: https://visualstudio.microsoft.com/ and download the community version of VS. after downloading install it and choose the following options in the installation page:
image1 image2

and choose install

Enter the command pip install cmake and wait fo it to be installed.

follow the instructions in the following link to know how to add something to your Path variable: https://helpdeskgeek.com/windows-10/add-windows-path-environment-variable/

write the following command in the command prompt: pip install dlib

write the following command in the command prompt: pip install face_recognition

click File click Sittings in the search type "interpreter" choose "python interpreter" choose "show all" click the "+" sign choose system Interpreter choose the interpreter that its path starts with the "users" directory

That is the solution I used to fix my problem

I solved the problem by upgrading my Linode to a dedicated CPU plan. After doing so everything worked as expected.

For me this problem is solved but I am still curious why this did not work on the shared system... If anybody know, please enlighten me!

Might need to do RUN apt-get update && apt-get install -y cmake before the pip install.

Use from tensorflow.keras. instead of from keras.

This line: for (top, right, bottom, left), name in zip(faceLocations, faceNames): .

Make sure that top, right, bottom, left values are integer values and not float values. Just print them once to confirm. If they are float values convert them to int using int(). Like this:

Sounds like you want a nearest neighbour search. You could have a look at the various space partitioning data structures like kd-trees

You need to change the order of function declaration. You can not call const variables before they were declared.

Sorry to say but if the face recognition is good it should not recognize cartoon faces, it's designed to recognize human faces and therefore should only tell you how many human faces it is on the image, otherwise it's a bad designed algorithm. If you want a machine-learning algorithm to recognize cartoon faces you would have to train it your self for that specific test.

I did a quick search on google and the first things I found was an article named "Cartoon Face Recognition: A Benchmark Dataset" at https://arxiv.org/pdf/1907.13394.pdf . Maybe you can find an already existing machine-learning algorithm that have been trained to recognize cartoon faces.

Hope this helped and I hope you find what you're looking for.

--------------------------------EDIT--------------------------------

I found these two git repositories, could be worth looking into more

https://github.com/srvCodes/Cartoon-Face-Detection-and-Recognition https://github.com/hako/dissertation

The last link is a link for emotions of cartoon character.

It says that there is no such directory as a.jpg in the "dataset" folder

No, that is not what the error means.

The code is looking for that file in the current directory, not in the dataset folder.

You did call os.listdir(r'/home/pi/Desktop/dataset/'), but that does not change the current directory.

Use the full pathname to open the file: