diff --git a/2.-Running-OpenDroneMap.md b/2.-Running-OpenDroneMap.md index a38aaee..71ee03e 100644 --- a/2.-Running-OpenDroneMap.md +++ b/2.-Running-OpenDroneMap.md @@ -10,7 +10,7 @@ Then sit back, grab a coffee and wait ------- # 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`. [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. +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. 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)