readme

Author: [email protected]

README.md

@@ -47,14 +47,15 @@ Macrobot software was build and successfully tested on Windows operation system
 # Usage
 
 1. Create a folder for the result. We will create a new folder on the desktop called mb_results.
-2. Open the Ananconda prompt and activate your macrobot enviroment if you are not already there.<br/>`conda activate macrobot`<br/>
+2. Open the Ananconda prompt and activate your macrobot environment if you are not already there.<br/>`conda activate macrobot`<br/>
 3. Macrobot is a command line program which requires the following arguments:
 * source path (-s) - the path with the images coming from the Macrobot hardware system
 * destination path (-d) - the path to store the results
 * pathogen (-p) - which pathogen to predict ("mildew" or "rust")
-4. For a test case we will use a test image set which will be autmatically downloaded by the start of the software. 
+4. For a test case we will use a test image set which will be automatically downloaded by the start of the software.
 To tell the software to use the test images, we will enter "test_images" for the source path -s argument
-5. Start the sofwtare with the following comand (adapt the destination path):<br/>`mb -s test_images -d C:\Users\name\Desktop\mb_results\ -p mildew`<br/>
+5. Start the software with the following command for mildew (adapt the destination path):<br/>`mb -s test_images -d C:\Users\name\Desktop\mb_results\ -p mildew`<br/> or rust
+<br/>`mb -s test_images -d C:\Users\name\Desktop\mb_results\ -p rust`<br/>
 6. In your destination folder should appear all results:
 * A csv file with the predicted values per leaf
 * A report html file in folder report which allows and easy control over the pipeline.

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "macrobot"
-version = "0.4.6"
+version = "0.5.0"
 description = "Macrobot is an image analysis software for studying plant-pathogen interactions on macroscopic level."
 authors = ["Stefanie Lueck <[email protected]>"]