Liam Flandan
Flandan
/ alexnet_analogue.py
Created
May 16, 2017 22:16
A modification to alexnet to enable training on analogue input and output data (for learning steering behaviour as an example).
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| # alexnet.py | |
| """ AlexNet. | |
| References: | |
| - Alex Krizhevsky, Ilya Sutskever & Geoffrey E. Hinton. ImageNet | |
| Classification with Deep Convolutional Neural Networks. NIPS, 2012. | |
| Links: | |
| - [AlexNet Paper](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) | |
| """ |
Flandan
/ example.py
Last active
June 1, 2022 22:44
Virtual Joystick Control from python using vJoy (http://vjoystick.sourceforge.net/site/index.php/77-vjoy/84-homepage-v200). A slight interface change to https://gist.github.com/varlen/c47e807e647cc56a6faf9d548d2c00f3 by varlen
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| from vjoy import vj, setJoy | |
| import numpy as np | |
| import time | |
| print("vj opening", flush=True) | |
| vj.open() | |
| time.sleep(1) | |