##Some Info:
1.Use rbuild for building
2./at contains all folders(/s'i' for i in classes) with each folder having 10 pictures for training
3.Use at.txt with ./face exec as: ./face at.txt
4.at.txt contains paths to all images with label, helping in loading dataset
5./src contains python scripts for polishing images and generating csv though you won't need them
6./src/face_recog.cpp is the file you use also note /src contains the haarcascade xml and ignore tut.cpp file
7.Cheers!
Vision modules for PETCat, the long term project.
git clone https://github.com/${your_username_here}/PETcat_vision
Create a new branch by
git checkout -b ${your_branch_name}
Navigate to the top-level repo directory and:
git add .
git commit -m "Explanative commit message"
git push origin ${your_branch_name}
Create a new pull request from the Pull Requests
tab on this repo, not the fork.
Request reviews from at least two people.