sansumbrella

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

#include "PolygonShapes.h"

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 );

PauloLuan

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

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

kylemcdonald

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

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

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

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

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

jaron

import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D
from keras.optimizers import SGD
from keras.regularizers import l2, activity_l2
from keras.utils import np_utils
from sklearn import metrics 

# to run this code, you'll need to load the following data: 

ksopyla

# This is shorthened version of blog post 
#  http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

# update packages
sudo apt-get update
sudo apt-get upgrade

#Add the ppa repo for NVIDIA graphics driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update