Chaz Reid charlesreid1

Simple OpenCV Face Detection Example

Start by running install_opencv.sh to install the correct versions of everything on the Mac.

Then run prepare_example.sh to download materials needed for the facial detection algorithm.

Finally, run python2 facial_detection.py to detect faces and output the bounding box for any faces detected in the image.

Related repositories:

	import java.io.*;
	import java.util.*;

	public class WeatherData {

	public static void main(String[] args) throws FileNotFoundException {

	File f = new File("weather.txt");
	Scanner in = new Scanner(f);

	/*
	This is the code written on the board
	during lecture Monday 5/22/17.

	CSC 142
	Dr. Reid
	*/

	public class FY {
	public static void shuffle(String[] a) {


	public class PassByRef {

	public static void main(String[] args) {

	int[] array = new int[3];

	array[0] = 100;

	modifyArray(array);


	public class PassByRef {

	public static void main(String[] args) {

	int[] array = new int[3];

	array[0] = 100;

	modifyArray(array);

	import keyboard
	import time

	# Written for Mac OS X.
	# 0x24 = Enter on Mac keyboards

	keyboard.write("i")
	time.sleep(3)
	keyboard.write("Wake up Neo...",delay=0.2)
	keyboard.press(0x24)

	from fuel.datasets import IndexableDataset
	from collections import OrderedDict

	import numpy
	seed = 1234
	rng = numpy.random.RandomState(seed)

	# Make some fake data
	features = rng.randint(256, size=(8, 2, 2))
	targets = rng.randint(4, size=(8, 1))

	#!/bin/bash
	#
	# Download the Large-scale CelebFaces Attributes (CelebA) Dataset
	# from their Google Drive link.
	#
	# CelebA: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
	#
	# Google Drive: https://drive.google.com/drive/folders/0B7EVK8r0v71pWEZsZE9oNnFzTm8

	python3 get_drive_file.py 0B7EVK8r0v71pZjFTYXZWM3FlRnM celebA.zip

	In [1]: from skimage.io import imread as skimage_imread

	In [2]: from matplotlib.pyplot import imread as plt_imread

	In [3]: from scipy.ndimage import imread as scipy_imread

	In [4]: skimage_imread('bulk_water_000.png')
	Out[4]:
	array([[[146, 125, 54, 255],
	[146, 125, 54, 255],