https://arxiv.org/pdf/1810.03077.pdf Image Geolocation via Deep Neural Network. 10-701 Course Project.
Install the Google Maps package for python
sudo pip install googlemaps
Change images_dir = '/already/created/path/to/image/folder' and get an API key from [here]{https://developers.google.com/maps/documentation/streetview/get-api-key}. Add that to streetview_API_key.
To acquire 10K images from each state with streetview API (You need to add your streetview API to streetview_API_key) -
cd scraper_code
python image_scraper start_state end_state
start_state and end_state can be obtained from sampler/state_labels.txt. Scraping data will take significant time. Keep in mind the 25,000 request limit per day. If the limit is crossed, the script will terminate automatically with a message. Each folder in images is a state, with an info.txt that gives the lat/lng of each image.
All the code for training models can be found in the resnet directory. The main file is 'train.py', run 'train.py --help' for a description of how to train and evaluate a model. Code for building the networks is found in 'resnet.py'.
We can plot locations of images obtained from the info.txt file by -
cd test
python geo_plotter
If you get the error
InsecurePlatformWarning: A true SSLContext object is not
available. This prevents urllib3 from configuring SSL appropriately and
may cause certain SSL connections to fail. For more information, see
https://urllib3.readthedocs.org/en/latest
Do this -
sudo pip install 'requests[security]'
Will take time...
- Street View API - Light module for downloading photos from Google street view.
Sudharshan Suresh, Montiel Abello and Nathaniel Chodosh