update README

Former-commit-id: 54f1f1f7af6d73b804a675777fe92c1dbd9d187e

README.md

@@ -11,17 +11,18 @@
 
 
 ## Using Conda (recommended) <a name="conda"></a>
+
 <a name="installation"></a>
 ### Installation 
 
 <ol>
 <li>Download and install Anaconda as described in <a href="https://docs.anaconda.com/anaconda/install/">https://docs.anaconda.com/anaconda/install</a></li>
-<li>Get the code from this git repository (or download the tool from <a href="https://github.rcac.purdue.edu/jprat/object-locator/archive/v1.3.1.zip">this link</a>, and decompress the zip).
-<li>(Optional) Check out a non-development version (such as `git checkout v1.3.1`).
+<li>Clone this repository
+<li>(Optional) Check out a stable version (such as `git checkout 1.5.0`) shown in CHANGELOG.html
 <li>Open the terminal in Linux/MacOS. In Windows, open the Anaconda Prompt.</li>
-<li>"cd" into the decompressed directory</li>
-<li>Download the trained models from <a href="https://lorenz.ecn.purdue.edu/~jprat/plant_locator/checkpoints">here</a> and put them in 
-<pre>object-locator-1.3.1/object-locator/checkpoints</pre>
+<li>"cd" into the decompressed directory or the cloned repo</li>
+<li>Download the trained models from <a href="https://lorenz.ecn.purdue.edu/~jprat/plant_locator/checkpoints">here</a> (or provided by us) and put them in 
+<pre>object-locator-1.5.0/object-locator/checkpoints</pre>
 
 
 <li>Install the dependencies:</li>
@@ -96,10 +97,11 @@ python -m object-locator.locate \
 <a name="train"></a>
 
 #### Train (optional)
-If you do not want to use one of the provided pretrained models, you can train your own model. Run the following command to get the full help message on how to train, with an explanation of all available training parameters.
-You need to have a NVIDIA card and CUDA 8 installed to train your own model. This depends greatly on the specific model of your NVIDIA card and operating system.
+You can use one of the provided pretrained models, or you can train your own model.
+You need to have a NVIDIA card and CUDA 8 installed to train your own model.
+This depends greatly on the specific model of your NVIDIA card and operating system.
 
-Run this to get help (usage instructions):
+Run this to show instructions on how to train:
 <pre>
 python -m object-locator.train -h
 </pre>
@@ -136,10 +138,7 @@ conda env remove --name object-locator
 </pre>
 
 <a name="docker"></a>
-## Using Docker 
-
-
-(only for expert users)
+## Using Docker (experts only)
 
 1. Install docker-ce as described in https://docs.docker.com/install/linux/docker-ce/ubuntu/#set-up-the-repository
 2. Install NVIDIA drivers