felzek

$(function () {
    "use strict";

    // for better performance - to avoid searching in DOM
    var content = $('#content');
    var input = $('#input');
    var status = $('#status');

    // my color assigned by the server
    var myColor = false;

felzek

import os
import urllib.request
import argparse
import sys
import alexnet
import cv2
import tensorflow as tf
import numpy as np
import caffe_classes

felzek

class alexNet(object):
    """alexNet model"""
    def __init__(self, x, keepPro, classNum, skip, modelPath = "bvlc_alexnet.npy"):
        self.X = x
        self.KEEPPRO = keepPro
        self.CLASSNUM = classNum
        self.SKIP = skip
        self.MODELPATH = modelPath
        #build CNN
        self.buildCNN()

felzek

def maxPoolLayer(x, kHeight, kWidth, strideX, strideY, name, padding = "SAME"):
    return tf.nn.max_pool(x, ksize = [1, kHeight, kWidth, 1],
                          strides = [1, strideX, strideY, 1], padding = padding, name = name)
 
def dropout(x, keepPro, name = None):
    return tf.nn.dropout(x, keepPro, name)
 
def LRN(x, R, alpha, beta, name = None, bias = 1.0):
    return tf.nn.local_response_normalization(x, depth_radius = R, alpha = alpha,