Add a trained model to the repo

LICENSE

@@ -3,12 +3,22 @@ Developed by Sensyne Health - 28 March 2020
 
 Copyright 2020 Sensyne Health
 
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+Permission is hereby granted, free of charge, to any person obtaining a copy 
+of this software and associated documentation files (the "Software"), to deal 
+in the Software without restriction, including without limitation the rights 
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies 
+of the Software, and to permit persons to whom the Software is furnished to do 
+so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all 
+copies or substantial portions of the Software.
 
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, 
+INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A 
+PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT 
+HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION 
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE 
+SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 
 
 Original code derived from 2019 zhixuhao (https://github.com/zhixuhao/unet). See licence below. 

README.md

@@ -19,7 +19,15 @@ To run the code, download the training images, training masks and test images fr
 
 and copy these files into `data/covid/` in the code directory. 
 
-# 2) Building the environment and running the code
+# 2) Trained model
+
+The trained model can be downloaded from the the Github release at:
+
+https://github.com/draysontechnologies/lung-ct-covid-pathology-detection/releases/download/v0.1/unet_covid_crossval_200.hdf5
+
+This needs to be copied into the main folder. 
+
+# 3) Building the environment and running the code
 
 ### Running the code in a virtual environment
 
@@ -45,7 +53,7 @@ To run the code
 
 The processed images from the test and validation set will appear in `demo_figs`
 
-# 3) Usage
+# 4) Usage
 
 The following simple options are available in the main script: