Author:
- Bhumi Godiwala ([email protected])
- Chenhua Fan ([email protected])
- Qiwei Chen ([email protected])
install the requirements.txt
by pip, then go through the *.ipynb
.
Or using mlflow to start mlops UI. mlflow server --backend-store-uri sqlite:///641.db --host 0.0.0.0 --port 5000
SQLite required.
All necessary files can accesse at the google drive.
This repository is the main workspace of our final project. It includes:
/GAN
is the main GAN model we used and trained.*.ipynb
Jupyter notebooks of model we used (main work).ASLDataset.py
the initialization of dataset./trained_models
the models we trained (Models not included in the zip file on the Canvas)./imgs_outputs
is the images generated from GAN.
All models not included in the zip file on the Canvas. Additional upload required.
model
ResNet model.ST-CGAN_G1_1260.pth
GAN model. 111.6MBST-CGAN_G2_1260.pth
GAN model. 111.6MB
the mlops based on mlflow
. data stored in the 641.db (sqlite)