Update README to reflect UI changes

Former-commit-id: cefb0d08ae

README.md

@@ -50,22 +50,13 @@ For Ubuntu 15.10 users, this will help you get running:
     
 ### Run OpenDroneMap
 
-First you need a set of images, taken from a drone or otherwise. 
-
-Create a project folder and places your images in an "images" directory:
-
-    |-- /path/to/project/
-        |-- images/
-            |-- img-1234.jpg
-            |-- ...
-
-Example data can be cloned from https://github.com/OpenDroneMap/odm_data
+First you need a set of images, taken from a drone or otherwise. Example data can be cloned from https://github.com/OpenDroneMap/odm_data
 
 Then run:
 
-    python run.py --project-path /path/to/project
-    
-There are many options for tuning your project. See the [wiki](https://github.com/OpenDroneMap/OpenDroneMap/wiki/Run-Time-Parameters) or run `python run.py -h`
+    python run.py --project-path /path/to/project -i /path/to/images
+
+The images will be copied over to the project path so you only need to specify the `-i /path/` once. There are many options for tuning your project. See the [wiki](https://github.com/OpenDroneMap/OpenDroneMap/wiki/Run-Time-Parameters) or run `python run.py -h`
 
 ### View Results
 
@@ -106,7 +97,7 @@ Any file ending in .obj or .ply can be opened and viewed in [MeshLab](http://mes
 
 ![](https://raw.githubusercontent.com/alexhagiopol/OpenDroneMap/feature-better-docker/toledo_dataset_example_mesh.jpg)
 
-You can also view the orthophoto GeoTIFF in QGIS or other mapping software:
+You can also view the orthophoto GeoTIFF in [QGIS](http://www.qgis.org/) or other mapping software:
 
 ![](https://raw.githubusercontent.com/OpenDroneMap/OpenDroneMap/master/img/bellus_map.png)
 
@@ -126,22 +117,13 @@ like so:
     docker build -t packages -f packages.Dockerfile .
     docker build -t odm_image .
     docker run -it --user root\
-         -v $(pwd)/images:/code/images\
-         -v $(pwd)/odm_orthophoto:/code/odm_orthophoto\
-         -v $(pwd)/odm_texturing:/code/odm_texturing\
-         --rm odm_image 
+         -v /path/to/images:/project/images \
+         -v $(pwd)/project:/project \
+         -v /path/to/gcp_list.txt:/code/gcp_list.txt \
+         --rm odm_image --project-path /project
 
 Using this method, the containerized ODM will process the images in the OpenDroneMap/images directory and output results
-to the OpenDroneMap/odm_orthophoto and OpenDroneMap/odm_texturing directories as described in the **Viewing Results** section. 
-If you want to view other results outside the Docker image simply add which directories you're interested in to the run command in the same pattern
-established above. For example, if you're interested in the dense cloud results generated by PMVS and in the orthophoto,
-simply use the following `docker run` command after building the image:
-
-    docker run -it --user root\
-         -v $(pwd)/images:/code/images\
-         -v $(pwd)/pmvs:/code/pmvs\
-         -v $(pwd)/odm_orthophoto:/code/odm_orthophoto\
-         --rm odm_image
+to the OpenDroneMap/odm_orthophoto and OpenDroneMap/odm_texturing directories as described in the **Viewing Results** section.
 
 To pass in custom parameters to the run.py script, simply pass it as arguments to the `docker run` command.
 

run.py

@@ -3,6 +3,7 @@
 from opendm import log
 from opendm import config
 from opendm import system
+from opendm import io
 
 import sys
 import ecto
@@ -26,6 +27,9 @@ if __name__ == '__main__':
     # Force to provide the images path
     if args.project_path is None:
         usage()
+    elif not io.dir_exists(args.project_path):
+        log.ODM_WARNING('Directory %s does not exist. Creating it now.' % args.project_path)
+        system.mkdir_p(os.path.abspath(args.project_path))
 
     #If user asks to rerun everything, delete all of the existing progress directories.
     # TODO: Move this somewhere it's not hard-coded