Nicolau Leal Werneck nlw0

## haskell_stack_and_intellij_idea_ide_setup_tutorial_how_to_get_started.md

      
              1 file
            
          
              22 forks
            
          
              22 comments
            
          
              112 stars
            
          
                androidfred
                / haskell_stack_and_intellij_idea_ide_setup_tutorial_how_to_get_started.md
            
            
              Last active
              February 4, 2024 20:58
            
              
                Haskell, Stack and Intellij IDEA IDE setup tutorial how to get started
              
          
    Haskell, Stack and Intellij IDEA IDE setup tutorial how to get started

Upon completion you will have a sane, productive Haskell environment adhering to best practices.
Basics


Haskell is a programming language.
Stack is tool for Haskell projects. (similar tools for other languages include Maven, Gradle, npm, RubyGems etc)
Intellij IDEA IDE is a popular IDE.

Install required libraries

sudo apt-get install libtinfo-dev libghc-zlib-dev libghc-zlib-bindings-dev

  
## rgb2Lab.py
import numpy as np

def func(t):
    if (t > 0.008856):
        return np.power(t, 1/3.0);
    else:
        return 7.787 * t + 16 / 116.0;

#Conversion Matrix
matrix = [[0.412453, 0.357580, 0.180423],

## SFM.md

      
              1 file
            
          
              20 forks
            
          
              2 comments
            
          
              84 stars
            
          
                patriciogonzalezvivo
                / SFM.md
            
            
              Last active
              January 10, 2024 12:29
            
              
                SfM Tools
              
          
    VisualSFM by Changchang Wu

Probably the most straight forward way to start generating Point Clouds from a set of pictures.
VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.
For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]

  
## gist:9785645
package slicks.docs.dao

import scala.slick.driver.PostgresDriver.simple._
import scala.slick.driver._


trait Profile {
  val profile: JdbcProfile
}

## simple-https-server.py
# taken from http://www.piware.de/2011/01/creating-an-https-server-in-python/
# generate server.xml with the following command:
#    openssl req -new -x509 -keyout server.pem -out server.pem -days 365 -nodes
# run as follows:
#    python simple-https-server.py
# then in your browser, visit:
#    https://localhost:4443

import BaseHTTPServer, SimpleHTTPServer
import ssl

## JuliaGitPullRequest.md

      
              1 file
            
          
              2 forks
            
          
              2 comments
            
          
              7 stars
            
          
                dmbates
                / JuliaGitPullRequest.md
            
            
              Created
              May 16, 2012 16:49
            
              
                Setting up git for creating pull requests to JuliaLang
              
          
    These notes are based on Patrick O'Leary's video that he kindly created when I was wingeing about problems with git.  It is best to watch the video first then go back through these notes to recall the steps.
Create a clone of the JuliaLang repository
git clone git://github.com/JuliaLang/julia.git
or
git clone git://github.com/JuliaLang/julia.git myjulia

  
## gist:710671
So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

* Off the top of my head *

1. Fork their repo on Github
2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

    git remote add my-fork git@github...my-fork.git
	import numpy as np

	def func(t):
	if (t > 0.008856):
	return np.power(t, 1/3.0);
	else:
	return 7.787 * t + 16 / 116.0;

	#Conversion Matrix
	matrix = [[0.412453, 0.357580, 0.180423],
	package slicks.docs.dao

	import scala.slick.driver.PostgresDriver.simple._
	import scala.slick.driver._


	trait Profile {
	val profile: JdbcProfile
	}
	# taken from http://www.piware.de/2011/01/creating-an-https-server-in-python/
	# generate server.xml with the following command:
	# openssl req -new -x509 -keyout server.pem -out server.pem -days 365 -nodes
	# run as follows:
	# python simple-https-server.py
	# then in your browser, visit:
	# https://localhost:4443

	import BaseHTTPServer, SimpleHTTPServer
	import ssl
	So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

	Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

	* Off the top of my head *

	1. Fork their repo on Github
	2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

	git remote add my-fork git@github...my-fork.git