Refs update (#2027)

Author: smathermather

contrib/fix_ply/README.md

@@ -6,7 +6,7 @@ The basic idea is to process through ODM until the point cloud is created, use a
 
 This useful bit of python will convert the PLY exported from CloudCompare back into a compatible format for continued processing in OpenDroneMap.
 
-1. Run project in WebODM and add this to your settings: `end-with: odm-filterpoints`
+1. Run project in OpenDroneMap Desktop and add this to your settings: `end-with: odm-filterpoints`
 1. Once complete, go to your NodeODM container and copy `/var/www/data/[Task ID]/odm-filterpoints` directory
 1. Open CloudCompare and from `odm-filterpoints` directory you've copied, open `point_cloud.ply`
 1. In the box that pops up, add a scalar field `vertex - views`
@@ -16,4 +16,4 @@ This useful bit of python will convert the PLY exported from CloudCompare back i
 1. Save PLY file as ASCII
 1. Run Python file above to fix PLY file and convert to binary
 1. Copy `odm_filterpoints` directory (or just `point_cloud.ply`) back into NodeODM container
-1. Restart project in WebODM "From Meshing" (don't forget to edit settings to remove `end-with: odm-filterpoints` or it's not going to do anything).
+1. Restart project in OpenDroneMap Desktop "From Meshing" (don't forget to edit settings to remove `end-with: odm-filterpoints` or it's not going to do anything).

stages/mvstex.py

@@ -161,7 +161,7 @@ def add_run(nvm_file, primary=True, band=None):
 
 
                 # Backward compatibility: copy odm_textured_model_geo.mtl to odm_textured_model.mtl
-                # for certain older WebODM clients which expect a odm_textured_model.mtl
+                # for certain older clients which expect a odm_textured_model.mtl
                 # to be present for visualization
                 # We should remove this at some point in the future
                 geo_mtl = os.path.join(r['out_dir'], 'odm_textured_model_geo.mtl')
@@ -183,4 +183,3 @@ def add_run(nvm_file, primary=True, band=None):
             undistorted_images_path = os.path.join(tree.opensfm, "undistorted", "images")
             if io.dir_exists(undistorted_images_path):
                 shutil.rmtree(undistorted_images_path)
-

stages/odm_app.py

@@ -98,7 +98,7 @@ def execute(self):
                 # Segfault
                 log.ODM_ERROR("Uh oh! Processing stopped because of strange values in the reconstruction. This is often a sign that the input data has some issues or the software cannot deal with it. Have you followed best practices for data acquisition? See https://docs.opendronemap.org/flying/")
             elif code == 137 or code == 3221226505:
-                log.ODM_ERROR("Whoops! You ran out of memory! Add more RAM to your computer, if you're using docker configure it to use more memory, for WSL2 make use of .wslconfig (https://docs.microsoft.com/en-us/windows/wsl/wsl-config#configure-global-options-with-wslconfig), resize your images, lower the quality settings or process the images using a cloud provider (e.g. https://webodm.net).")
+                log.ODM_ERROR("Whoops! You ran out of memory! Add more RAM to your computer, if you're using docker configure it to use more memory, for WSL2 make use of .wslconfig (https://docs.microsoft.com/en-us/windows/wsl/wsl-config#configure-global-options-with-wslconfig), resize your images, lower the quality settings or process the images using a cloud provider.")
             elif code == 132:
                 log.ODM_ERROR("Oh no! It looks like your CPU is not supported (is it fairly old?). You can still use ODM, but you will need to build your own docker image. See https://github.com/OpenDroneMap/ODM#build-from-source")
             elif code == 3: