razekmaiden

/*
 * Copyright (c) 1987, 1993
 *	The Regents of the University of California.  All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 * 1. Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 * 2. Redistributions in binary form must reproduce the above copyright

razekmaiden

Age and Gender Classification using Convolutional Neural Networks

###name: Age Classification CNN

caffemodel: age_net.caffemodel

caffemodel_url: https://dl.dropboxusercontent.com/u/38822310/age_net.caffemodel

razekmaiden

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

razekmaiden

from scipy.misc import imread, imresize

from keras.layers import Input, Dense, Convolution2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, merge, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD
from googlenet_custom_layers import PoolHelper,LRN


def create_googlenet(weights_path=None):

razekmaiden

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

razekmaiden

'''
This script saves each topic in a bagfile as a csv.

Accepts a filename as an optional argument. Operates on all bagfiles in current directory if no argument provided

Usage1 (for one bag file):
	python bag2csv.py filename.bag
Usage 2 (for all bag files in current directory):
	python bag2csv.py

razekmaiden

#!/usr/bin/env python

from PySide.QtCore import *
from PySide.QtGui import *
import cv2
import sys

class MainApp(QWidget):

    def __init__(self):

razekmaiden

## Sublime Text 3 Serial key build is 3103

—– BEGIN LICENSE —–
Michael Barnes
Single User License
EA7E-821385
8A353C41 872A0D5C DF9B2950 AFF6F667
C458EA6D 8EA3C286 98D1D650 131A97AB
AA919AEC EF20E143 B361B1E7 4C8B7F04
B085E65E 2F5F5360 8489D422 FB8FC1AA

razekmaiden

# Compiled source #
###################
*.com
*.class
*.dll
*.exe
*.o
*.so

# Packages #

razekmaiden

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html