This project uses python3. Preferred way to install this is using a virtual environment (virtualenv), so as to not muddle your dependencies.
From inside your virtualenv, run pip install -r requirements.txt to install python packages. You will also need ffmpeg, which can be installed on Linux with sudo apt-get install ffmpeg, or mac with brew install ffmpeg on mac. I'm not sure if this will work on Windows.
- spider_web.py This defines the actual web objects, such as nodes, edges, and the web itself.
- web_zoo.py This provides utility functions for creating different types of webs, such as circular ones, lines, etc.
- learninhg_model.py This contains a TensorFlow model of a spider, that can be trained to better predict outputs.
- record_data_for_spider_locating.py
- spider_data.py This creates TensorFlow datasets from pickled numpy arrays, for training the spider model.
- record_web_data This simulates a web with a spider at the center, and records the sensory data for that spider to a file for later training.
- record_data_for_spider_locating This is similar to
record_web_data.py, except that it records data as if there were a spider at EVERY intersection. - spider_guessing_visualization This is a silly example of moving the spider around on the web and recording it.
- mpl_visualization.py This contains the base drawing class for drawing an oscillating web. It is overridden in various places, such as in
spider_locating_visualization.py - spider_locating_visualization.py This takes in a trained spider model, and simulates/records the spider finding its prey
- learn_prey_direction.py This trains the spider model to determine which direction prey is in, from the center. Uses data generated in
record_web_data.py - learn_prey_location.py This trains the spider model to determine the LOCATION of the prey. Uses data generated in
record_data_for_spider_locating.py