From 04c2cb1ed4775991f7da80891cf4f851fab5aa85 Mon Sep 17 00:00:00 2001 From: milesial Date: Thu, 23 Jul 2020 17:04:38 -0700 Subject: [PATCH] Update README with xs:code Former-commit-id: 84f8392b619940bd542dc670761a0a7a1357001d --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index d8b8e0b..12e6252 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,8 @@ # UNet: semantic segmentation with PyTorch +[![xscode](https://img.shields.io/badge/Available%20on-xs%3Acode-blue?style=?style=plastic&logo=appveyor&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEAAAABACAMAAACdt4HsAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAAZQTFRF////////VXz1bAAAAAJ0Uk5T/wDltzBKAAAAlUlEQVR42uzXSwqAMAwE0Mn9L+3Ggtgkk35QwcnSJo9S+yGwM9DCooCbgn4YrJ4CIPUcQF7/XSBbx2TEz4sAZ2q1RAECBAiYBlCtvwN+KiYAlG7UDGj59MViT9hOwEqAhYCtAsUZvL6I6W8c2wcbd+LIWSCHSTeSAAECngN4xxIDSK9f4B9t377Wd7H5Nt7/Xz8eAgwAvesLRjYYPuUAAAAASUVORK5CYII=)](https://xscode.com/milesial/Pytorch-UNet) + + ![input and output for a random image in the test dataset](https://framapic.org/OcE8HlU6me61/KNTt8GFQzxDR.png) @@ -92,6 +95,11 @@ Predicting images of 1918*1280 takes 1.5GB of memory. Training takes much approximately 3GB, so if you are a few MB shy of memory, consider turning off all graphical displays. This assumes you use bilinear up-sampling, and not transposed convolution in the model. +## Support + +Personalized support for issues with this repository, or integrating with your own dataset, available on [xs:code](https://xscode.com/milesial/Pytorch-UNet). + + --- Original paper by Olaf Ronneberger, Philipp Fischer, Thomas Brox: [https://arxiv.org/abs/1505.04597](https://arxiv.org/abs/1505.04597)