Chuck-Aguilar Chuck-Aguilar

Chuck-Aguilar / CropImage.hs

Last active September 27, 2016 07:46

	{-# LANGUAGE TypeFamilies #-}
	{-# LANGUAGE FlexibleContexts #-}
	{-# LANGUAGE AllowAmbiguousTypes #-}

	module CropImage
	(
	cropImage
	) where

	import Utils

Chuck-Aguilar / FindContours.hs

Last active October 13, 2016 08:38

	{-# LANGUAGE TypeFamilies #-}
	{-# LANGUAGE FlexibleContexts #-}
	{-# LANGUAGE AllowAmbiguousTypes #-}

	module FindContours
	(
	findingContours
	) where

	import Utils

Chuck-Aguilar / Ramer-Douglas-Peucker.cpp

Created November 14, 2016 16:01


	/****************************************************************************************\
	* Polygonal Approximation *
	\****************************************************************************************/

	/* Ramer-Douglas-Peucker algorithm for polygon simplification */

	namespace cv
	{

Chuck-Aguilar / AdventCalendar.html

Created November 28, 2016 15:17

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width">
	<title>AdventCalendar</title>
	<link rel="stylesheet" href="https://img.homepagemodules.de/ds/static/aktionen/adventskal/css/colorbox_1.css" />
	<link href="css/style.css" rel="stylesheet"/>
	</head>
	<body>

Chuck-Aguilar / Dockerfile

Created February 27, 2018 13:48

	FROM ubuntu:16.04

	MAINTAINER Dockerfiles

	# Install required packages and remove the apt packages cache when done.
	RUN apt-get update && \
	apt-get upgrade -y && \
	apt-get install -y \
	autoconf \
	autoconf-archive \

Chuck-Aguilar / test_keras.py

Created February 27, 2018 13:50

	"""
	Trains a simple deep NN on the MNIST dataset.

	Gets to 98.40% test accuracy after 20 epochs
	(there is a lot of margin for parameter tuning).
	2 seconds per epoch on a K520 GPU.
	"""

	from __future__ import print_function