tardigrade-10/cloudrm

Cloud Removal App

Using Convolutional Autoencoder

Quantitative Analysis

	PSNR(Acc)	MSE(Loss)
Conv-AEM	25.086	0.0041

Run for inference

pip install -r requirements.txt
python predict.py --image data\RICE_DATASET\RICE1\cloudy_image\0.png --out_dir results --gpu True

Run app

pip install -r requirements.txt
python app.py

Run app using docker

1. Install docker
2. Create cloudrm_image using docker build 
3. Run -
docker-compose up