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Update docs to add headers and remove graphics (#220)

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Jaisen Mathai 2017-05-12 23:59:53 -07:00 committed by GitHub
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@ -45,13 +45,15 @@ Now that you've got the minimum dependencies installed you can start using Elodi
```
# Run these commands from the root of the repository you just cloned.
./elodie.py import --destination="/where/i/want/my/photos/to/go" /where/my/photo/is.jpg
./elodie.py import --debug --destination="/where/i/want/my/photos/to/go" /where/my/photo/is.jpg
```
You'll notice that the photo was organized into an *Unknown Location* folder. That's because you haven't set up your MapQuest API ([instructions](#using-openstreetmap-data-from-mapquest)).
Now you're ready to learn more about Elodie.
## Slowstart guide
[Read a 3 part blog post on why I was created](https://medium.com/vantage/understanding-my-need-for-an-automated-photo-workflow-a2ff95b46f8f#.dmwyjlc57) and how [I can be used with Google Photos](https://medium.com/@jmathai/my-automated-photo-workflow-using-google-photos-and-elodie-afb753b8c724).
I work tirelessly to make sure your photos are always sorted and organized so you can focus on more important things. By photos I mean JPEG, DNG, NEF and common video and audio files.
@ -64,8 +66,6 @@ I only do 3 things.
* Second I help make it easy for all the photos you haven't taken yet to flow into the exact location they belong.
* Third but not least I promise to do all this without a yucky propietary database that some friends of mine use.
<p align="center"><img src ="creative/workflow-simplified-white-bg.png" /></p>
*NOTE: make sure you've installed everything I need before running the commands below. [Instructions](#quickstart-guide) at the top of this page.*
## Let's organize your existing photos