mohankumargupta

#installed zbar with difficulty, main steps taken from https://github.com/NaturalHistoryMuseum/gouda
#what worked for me (executed from anaconda command prompt)
#conda update --all
#conda update --all
#python -m pip install --upgrade pip
#python <Anaconda dir>\Scripts\pywin32_postinstall.py -install
#python -m pip install pathlib
#python -m pip install numpy
#python -m pip install Pillow
#conda install -c menpo opencv

bikz05

sudo apt-get update
sudo apt-get upgrade

# Added by me
sudo apt-get install freeglut3 freeglut3-dev libtbb-dev libqt4-dev
# Copied from pyimagesearch.com
sudo apt-get install build-essential cmake git pkg-config
sudo apt-get install libjpeg8-dev libtiff4-dev libjasper-dev libpng12-dev
sudo apt-get install libgtk2.0-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev

Mistobaan

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

kylemcdonald

#include "ofMain.h"
#include "ofxTiming.h"

class ofApp : public ofBaseApp {
public:
    ofVideoGrabber grabber;
    DelayTimer delay;
    ofTrueTypeFont font;
    string description;
    

martinsik

import cv2
import time
import math
import numpy as np

capture = cv2.VideoCapture(0)
print capture.get(cv2.CAP_PROP_FPS)

t = 100
w = 640.0

PauloLuan

git rm -r --cached .
git add .
git commit -m "fixed untracked files"

paulhoux

#version 110

void main(void)
{
	// calculate glowing line strips based on texture coordinate
	const float resolution = 64.0;
	const float center = 0.5;
	const float width = 0.02;

	float f = fract( resolution * gl_TexCoord[0].s + 2.0 * gl_TexCoord[0].t );

sansumbrella

/*
 *  PolygonShapes.cpp
 *  HereToThere
 *
 *  Created by David Wicks on 2/23/11.
 *  Copyright 2011 David Wicks. All rights reserved.
 *
 */

#include "PolygonShapes.h"