VehicleGeopositioning

Note that this hasn't been updated in a while, hopefully I will return to update it soon

Set up

Copy this Repo and SuperGlue's repo

Run the following commands to clone this repo and SuperGlue's repo:

TODO: git setup

$ git clone https://github.com/OSUPCVLab/VehicleGeopositioning.git

$ cd VehicleGeopositioning

$ git clone https://github.com/magicleap/SuperGluePretrainedNetwork.git

Setup Dependancies

Run the following commands to set up the dependancies:

$ pip3 install -r requirements.txt

Google API

1. Get a google maps API key. Use the following link to set up the api key. Make sure you copy it (do not share API keys, each person should use their own) https://developers.google.com/maps/documentation/embed/get-api-key TODO: more directions here when navigating the google API
2. Open the keys.py document and paste in your API key into the GOOGLE_API_KEY field

Running the code

1. main.py there is the script which runs everything. To run in simpily type python3 main.py into the command line.
2. Here is how to use custom data. There are two predefined arguments --framesDir and --dataDir. Currently there are defined to point to the sample data. The convention is that if an image data/images/img.png exists, then there is a corresponding data/parameters/img.txt that supplies meta data for the image. Each image's meta data should provide the same information in the same format as currently exists in the sample data. ex. GPS = 40.01265351729508,-83.00969233386985 height = 70 rotation = 0