Add examples to README

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Dakota Benjamin 2016-03-23 13:59:15 -04:00
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# OpenDroneMap
![](https://opendronemap.github.io/OpenDroneMap/img/odm_image.png)
What is it?
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OpenDroneMap is an open source toolkit for processing aerial drone imagery. Typical drones use simple point-and-shoot cameras, so the images from drones, while from a different perspective, are similar to any pictures taken from point-and-shoot cameras, i.e. non-metric imagery. OpenDroneMap turns those simple images into three dimensional geographic data that can be used in combination with other geographic datasets.
![](https://opendronemap.github.io/OpenDroneMap/img/tol_ptcloud.png)
In a word, OpenDroneMap is a toolchain for processing raw civilian UAS imagery to other useful products. What kind of products?
1. Point Clouds
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export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:`pwd`/SuperBuild/install/lib
bash configure.sh
mkdir build && cd build && cmake .. && make && cd ..
For Ubuntu 15.10 users, this will help you get running:
sudo apt-get install python-xmltodict
sudo ln -s /usr/lib/x86_64-linux-gnu/libproj.so.9 /usr/lib/libproj.so
#### Running OpenDroneMap
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|-- ...
Example data can be cloned from https://github.com/OpenDroneMap/odm_data
Then run:
python run.py --project-path /path/to/project
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|-- odm_orthophoto_log.txt # Log file
|-- gdal_translate_log.txt # Log for georeferencing the png file
##### Viewing your results
Any file ending in .obj or .ply can be opened and viewed in [MeshLab](http://meshlab.sourceforge.net/) or similar software. That includes `pmvs/recon0/models/option-000.ply`, `odm_meshing/odm_mesh.ply`, `odm_texturing/odm_textured_model[_geo].obj`, or `odm_georeferencing/odm_georeferenced_model.ply`. Below is an example textured mesh:
![](https://opendronemap.github.io/OpenDroneMap/img/tol_text.png)
You can also view the orthophoto GeoTIFF in QGIS or other mapping software:
![](https://opendronemap.github.io/OpenDroneMap/img/odm_orthophoto_test.png)
#### Using Docker
You can build and run OpenDroneMap in a Docker container:
export IMAGES=/absolute/path/to/your/project
docker build -t opendronemap:latest .
docker run -v $IMAGES:/images opendronemap:latest
Replace /absolute/path/to/your/images with an absolute path to the directory containing your project (where the images are)
To pass in custom parameters to the `run.py` script, simply pass it as arguments to the `docker run` command.
---
Here are some other videos, which may be outdated:
- https://www.youtube.com/watch?v=7ZTufQkODLs (2015-01-30)
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Now that texturing is in the code base, you can access the full textured meshes using MeshLab. Open MeshLab, choose `File:Import Mesh` and choose your textured mesh from a location similar to the following: `reconstruction-with-image-size-1200-results\odm_texturing\odm_textured_model.obj`
__For Ubuntu 15.10 users, this will help you get running:__
sudo apt-get install python-xmltodict
sudo ln -s /usr/lib/x86_64-linux-gnu/libproj.so.9 /usr/lib/libproj.so
---
Alternatively, you can also run OpenDroneMap in a Docker container:
export IMAGES=/absolute/path/to/your/images
docker build -t opendronemap:latest .
docker run -v $IMAGES:/images opendronemap:latest
To pass in custom parameters to the `run.py` script, simply pass it as arguments to the `docker run` command.
---
Example data can be found at https://github.com/OpenDroneMap/odm_data
---
Long term, the aim is for the toolchain to also be able to optionally push to a variety of online data repositories, pushing hi-resolution aerials to [OpenAerialMap](http://opentopography.org/), point clouds to [OpenTopography](http://opentopography.org/), and pushing digital elevation models to an emerging global repository (yet to be named...). That leaves only digital surface model meshes and UV textured meshes with no global repository home.

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