kopia lustrzana https://github.com/OpenDroneMap/ODM
Updated Running OpenDroneMap (markdown)
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# Running ODM
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First make sure you have edit the settings.yaml file to your liking AND that you have properly set the environmental variables.
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To use OpenDroneMap run the following command:
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python run.py --project-path /path/to/project
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python run.py --images </path/to/images> <project-name>
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Make sure your project directory contains a subdirectory called "images" where your images are contained.
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Then sit back, grab a coffee and wait
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Then sit back, grab a coffee and wait. Note that you only have to specify `--images` on the first run.
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# Running ODM with Ground Control
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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.
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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`.
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[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.
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For example, in this image, I would use the sharp corners of the diamond-shaped bioswales in the parking lot:
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![Toledo sample image](https://raw.githubusercontent.com/OpenDroneMap/OpenDroneMap/master/tests/test_data/images/1JI_0064.JPG)
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