NeodroidVision 0.1.1

Computer Vision algorithm implementations, intended for use with the Neodroid platform

Vision

This repository will host implementation computer vision algorithms applying the Neodroid platform.

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Neodroid is developed with support from Research Council of Norway Grant #262900. (https://www.forskningsradet.no/prosjektbanken/#/project/NFR/262900)

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Contents Of This Readme

• Algorithms
• Requirements
• Usage
• Results
  • Target Point Estimator
• Contributing
• Other Components

Algorithms

• REINFORCE (PG)
• DQN

Requirements

• pytorch
• tqdm
• Pillow
• numpy
• matplotlib
• torchvision
• torch
• Neodroid
• pynput

To install these use the command:

pip3 install -r requirements.txt

Usage

Export python path to the repo root so we can use the utilities module

export PYTHONPATH=/path-to-repo/

For training a agent use:

python3 procedures/train_agent.py

For testing a trained agent use:

python3 procedures/test_agent.py

Results

Semntation

Using Depth, Segmentation And RGB images to estimate the location of target point in an environment.

Code

Screenshots

Contributing

See guidelines for contributing here.

Citation

For citation you may use the following bibtex entry:

@misc{neodroid-vision,
  author = {Heider, Christian},
  title = {Neodroid Vision},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/sintefneodroid/Vision}},
}