/attendance-sys

Primary LanguagePython

Attendance System repo backend

Backend for Attendance sys repo

Installation

Use the package manager pip to install syllabus.

Train a face classifier model with your own set of images from: Google Collab The folder structure in your google drive to store the training and test datasets should be:

Your Drive
├── ...
├── project                
│   ├── datasets            
│       ├── train
|            ├── DESIRED_LABEL_FOR_IMAGES(eg.075BCT001, or RAM)
|                ├── any_filename.jpg
|                ├── any_filename2.jpg  #store nearly 20 training images
|             ├── DESIRED_LABEL_FOR_IMAGES2(eg.075BCT002, or RAM2)
|                ├── any_filename.jpg
|                ├── any_filename2.jpg #store nearly 20 training images
|                
|       ├── val
|            ├── DESIRED_LABEL_FOR_IMAGES(eg.075BCT001, or RAM)
|                ├── any_filename.jpg
|                ├── any_filename2.jpg #store nearly 8 validating images
|            ├── DESIRED_LABEL_FOR_IMAGES2(eg.075BCT002, or RAM2)
|                ├── any_filename.jpg
|                ├── any_filename2.jpg #store nearly 8 validating images
│                   
└── ...

The model will be saved inside gdrive/My Drive/project of your google drive, download into your cloned folder as model.sav. Also, download datasets-embeddings.npz from gdrive/My Drive/project into your cloned dir.

pip install -r requirements.txt
source ./run.sh

Cheers! There you go....

Contributers / Team Members