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e849ee5 · Apr 27, 2020

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Face_Recog

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Apr 27, 2020
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Apr 27, 2020

PETcat_vision

##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.

Contribution Guidelines

1. Fork the repo on GitHub: Use the button at the top right.

2. Clone the project to your own machine

git clone https://github.com/${your_username_here}/PETcat_vision

3. Commit changes to your own branch:

Create a new branch by

git checkout -b ${your_branch_name}

4. Push your work back up to your fork:

Navigate to the top-level repo directory and:

git add .
git commit -m "Explanative commit message"
git push origin ${your_branch_name} 

5. Submit a Pull request so that we can review your changes:

Create a new pull request from the Pull Requests tab on this repo, not the fork.

Request reviews from at least two people.