https://github.com/timofurrer/hslu-pren-fs19

Implementation of the PREN FS2019 challenge at @ HSLU
https://github.com/timofurrer/hslu-pren-fs19

cnn digit-recognition fs19 hns hslu pren train

Last synced: 18 days ago
JSON representation

Implementation of the PREN FS2019 challenge at @ HSLU

• Host: GitHub
• URL: https://github.com/timofurrer/hslu-pren-fs19
• Owner: timofurrer
• Archived: true
• Created: 2019-07-05T16:36:04.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-10-12T22:51:13.000Z (over 2 years ago)
• Last Synced: 2024-05-02T06:07:45.403Z (2 months ago)
• Topics: cnn, digit-recognition, fs19, hns, hslu, pren, train
• Language: Jupyter Notebook
• Homepage:
• Size: 12.8 MB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Lists

• awesome-hslu - timofurrer/hslu-pren-fs19 - complete project code (HSLU Modules / PREN2)

README

        
# 2/4 HNS Control Software

This repository contains the application developed for the

PREN challenge @ HSLU in the FS19.

See the following notebooks for some computer vision examples used in the implementation:

* Detecting Start signals: [Testrun Start Signals](notebooks/Testrun%20Start%20Signals.ipynb)

* Detecting Info signals: [Testrun Info Signals](notebooks/Testrun%20Info%20Signals.ipynb)

* Detecting Stop signals: [Testrun Stop Signals](notebooks/Testrun%20Stop%20Signals.ipynb)

See the [hslu-pren-digit-cnn](https://github.com/timofurrer/hslu-pren-digit-cnn) repository

for more details about the CNN used to detect the signals.

## HNS application

```bash

# use default stable config

python3 -m hns

# use specific config

python3 -m hns configs/stable.ini

```

## Development

Run tests:

```bash

# make sure to have the test dependencies installed

make install-test-dependencies

# run the tests

make test

```

Build and Install to system

```bash

make && sudo make install

```