Maruf Md Maniruzzaman Abbasi kuasha

hHGtC

##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

	/*
	Use pin 2 and 4 for sound sensors trig/ echo pins.
	ESC is attached to pin 5 (any PWM pin will work - but here we use 5)
	Pin 13 has led on arduino board- so use it to signal stop
	*/

	#include <Servo.h>


	Servo esc;

	// Tested on Raspberry Pi 3

	#include<stdio.h>
	#include <opencv2/core/core.hpp>
	#include <opencv2/highgui/highgui.hpp>
	#include "opencv2/opencv.hpp"

	#include <iostream>

	using namespace cv;

	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):

	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.layers.normalization import BatchNormalization

	#AlexNet with batch normalization in Keras
	#input image is 224x224

	model = Sequential()
	model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))

	### Preprocess the data here.
	### Feel free to use as many code cells as needed.

	from tensorflow.contrib.layers import flatten

	def LeNet(x):
	# Hyperparameters
	mu = 0
	sigma = 0.1

	/*
	Analog Input
	Demonstrates analog input by reading an analog sensor on analog pin 0 and
	turning on and off a light emitting diode(LED) connected to digital pin 13.
	The amount of time the LED will be on and off depends on
	the value obtained by analogRead().

	The circuit:
	* Potentiometer attached to analog input 0
	* center pin of the potentiometer to the analog pin