GeoMushroom

What is it?

This is just a mushroom heatmap built on top of vk geotagged photos. The repository contains both client and backend code.

Client code is located under /docs directory, so that the frontend from the web can access it: geomushroom.

Backend consists of scrapper, which retrives data from vk and should be run beforehand, and serving application, which just gives clients pieces of information retrieved by scrapper beforehand.

How to use scrapper

• Create virtualenv with python3
• Install requirements: pip install -r requirements.txt
• Install redis for caching and run it
• Follow the link from get_token.txt and copy result token from the address bar.
• Copy file config_template.yaml and paste obtained token under vk_token key
• Prepare data sinks:
  • If you want to store results in firebase, create firebase db.
  • For postgres sink, to initialize database you can use initdb.sql from the root directory: psql -a -f initdb.sql
    • Note however, that postgres sink is not yet ready to be used on client side :)
• Setup data sinks configuration in previously copied config.yaml
• Perform data retrivement from vk by calling ./scrapper.py

How to use client

• To build client js code
  • Install npm and necessary packages
  • Run tsc --outFile ../../docs/geomushroom.js geomushroom.ts from src/client directory
• If you want to use own server, you need to change ip hardcoded in docs/geomushroom.js to the one belonging to your server.
• Open docs/geomushroom.html. This is the user interface to control scrapper.

P.S. detected mushrooms can be poisonous. Use at your own risk.

Result example

References

Scrapper image classification is backed by tfhub models