This is an implementation of unet using keras.

In the following, there is a predicted mask with image and groundtruth (In order from left to right: Eye image-Groundtruth image-Predicted mask):

1. requirements

pip install -r requirements.txt

2. images and masks

Put images and maks in dataset/images and dataset/masks

3. train.txt and val.txt

put images name in here:

image_name_1

image_name_2

.

.

.

image_nameN

4. image size

The default image size is 256X256

this is my profile in linkedin : https://www.linkedin.com/in/ali-khaki-84531b1bb/

I will be happy to help you. Please feel free to contact me.