diff --git a/Running-OpenDroneMap.md b/Running-OpenDroneMap.md
index 71ee03e..b65e31b 100644
--- a/Running-OpenDroneMap.md
+++ b/Running-OpenDroneMap.md
@@ -1,16 +1,18 @@
 # Running ODM
 
+First make sure you have edit the settings.yaml file to your liking AND that you have properly set the environmental variables. 
+
 To use OpenDroneMap run the following command:
 
-    python run.py --project-path /path/to/project
+    python run.py --images </path/to/images> <project-name>
 
-Make sure your project directory contains a subdirectory called "images" where your images are contained. 
-
-Then sit back, grab a coffee and wait
+Then sit back, grab a coffee and wait. Note that you only have to specify `--images` on the first run. 
 
 -------
 # Running ODM with Ground Control
-By default, OpenDroneMap tries to use the photo's GPS exif data to georeference. If your photos doesn't have GPS information or you want better accuracy you have to specify a ground control point file and use the `--odm_georeferencing-useGcp` parameter when running the script. [This post has some information about placing Ground Control Targets before a flight](http://diydrones.com/profiles/blogs/ground-control-points-gcps-for-aerial-photography), but if you already have images, you can find your own points in the images post facto. It's important that you find high-contrast objects that are found in **at least** 3 photos, and that you find a minimum of 5 objects. 
+If you supply a GCP file called gcp_list.txt then ODM will automatically detect it. If it has another name you can specify using `--gcp <path>`. If you have a gcp file and want to do georeferencing with exif instead, then you can specify `--use-exif`. 
+
+[This post has some information about placing Ground Control Targets before a flight](http://diydrones.com/profiles/blogs/ground-control-points-gcps-for-aerial-photography), but if you already have images, you can find your own points in the images post facto. It's important that you find high-contrast objects that are found in **at least** 3 photos, and that you find a minimum of 5 objects. 
 
 For example, in this image, I would use the sharp corners of the diamond-shaped bioswales in the parking lot:
 ![Toledo sample image](https://raw.githubusercontent.com/OpenDroneMap/OpenDroneMap/master/tests/test_data/images/1JI_0064.JPG)