Backend for Attendance sys repo
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.shCheers! There you go....