Anh M. Nguyen anguyen8

## dlib_plus_osm.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                anguyen8
                / dlib_plus_osm.md
            
            
              Created
              August 17, 2015 01:34
                — forked from iandees/dlib_plus_osm.md
            
              
                Detecting Road Signs in Mapillary Images with dlib C++
              
          
I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.
After a day or two figuring out how to compile the examples, I finally made some progress:
Compiling dlib C++ on a Mac with Homebrew


Clone dlib from Github to your local machine:


## bash_profile.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                anguyen8
                / bash_profile.md
            
            
              Last active
              October 18, 2019 02:46
                — forked from irazasyed/bash_profile.md
            
          
    Mac OS X Terminal Aliases & How-To

Collection of some of my fav terminal aliases that i use often & collected from the web. This file will be updated with more aliases as i find more. Feel free to comment and share your fav aliases you use :)
###Follow these simple steps to add the following aliases:###


Within the Terminal, run:


## osx-for-hackers.sh
#!/bin/sh

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

# Set the colours you can use
black='\033[0;30m'
white='\033[0;37m'
red='\033[0;31m'

## merge_ldb.cpp
/*
 * given a list of input leveldb's, merge them into a single output leveldb
 *
 */
#include <iostream>
#include <algorithm>

#include <boost/program_options.hpp>
#include <boost/cstdint.hpp>

## C++ Predict with caffe
#include <cuda_runtime.h>

#include <cstring>
#include <cstdlib>
#include <vector>

#include <string>
#include <iostream>
#include <stdio.h>
#include "caffe/caffe.hpp"

## mongodb_db.js
/**
 * Mariano Julio Vicario aka Ranu - TW: @el_ranu
 * http://www.ranu.com.ar
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
	#!/bin/sh

	# Alot of these configs have been taken from the various places
	# on the web, most from here
	# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

	# Set the colours you can use
	black='\033[0;30m'
	white='\033[0;37m'
	red='\033[0;31m'
	/*
	* given a list of input leveldb's, merge them into a single output leveldb
	*
	*/
	#include <iostream>
	#include <algorithm>

	#include <boost/program_options.hpp>
	#include <boost/cstdint.hpp>
	#include <cuda_runtime.h>

	#include <cstring>
	#include <cstdlib>
	#include <vector>

	#include <string>
	#include <iostream>
	#include <stdio.h>
	#include "caffe/caffe.hpp"
	/**
	* Mariano Julio Vicario aka Ranu - TW: @el_ranu
	* http://www.ranu.com.ar
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software