| /** | |
| * 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 |
| #include <cuda_runtime.h> | |
| #include <cstring> | |
| #include <cstdlib> | |
| #include <vector> | |
| #include <string> | |
| #include <iostream> | |
| #include <stdio.h> | |
| #include "caffe/caffe.hpp" |
| /* | |
| * 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> |
| #!/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' |
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:###
| function gpush () { | |
| # Check if we need to pull before pushing | |
| LOCAL=$(git rev-parse @) | |
| REMOTE=$(git rev-parse @{u}) | |
| BASE=$(git merge-base @ @{u}) | |
| stop=0 | |
| if [ $LOCAL = $REMOTE ]; then | |
| echo "Up-to-date" |
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:
dlib from Github to your local machine:
| cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local \ | |
| -D PYTHON2_PACKAGES_PATH=~/anaconda/lib/python2.7/site-packages \ | |
| -D PYTHON2_LIBRARY=~/anaconda/lib/libpython2.7.dylib \ | |
| -D PYTHON2_INCLUDE_DIR=~/anaconda/include/python2.7 \ | |
| -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON \ | |
| -D BUILD_opencv_gpu=OFF \ | |
| -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules .. |
| #!/bin/bash | |
| # Anh Nguyen <[email protected]> | |
| # 2016-04-30 | |
| # MIT License | |
| # This script takes in same-size images from a folder and make a crossfade video from the images using ffmpeg. | |
| # Make sure you have ffmpeg installed before running. | |
| # The output command looks something like the below, but for as many images as you have in the folder. |