Yili Zhao panovr

##VGG19 model for Keras

This is the Keras model of the 19-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

##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

	import argparse
	import os
	import shutil
	import time

	import torch
	import torch.nn as nn
	import torch.nn.parallel
	import torch.backends.cudnn as cudnn
	import torch.optim

	import numpy as np
	import os, sys, getopt

	# Main path to your caffe installation
	caffe_root = '/path/to/your/caffe/'

	# Model prototxt file
	model_prototxt = caffe_root + 'models/bvlc_googlenet/deploy.prototxt'

	# Model caffemodel file

	#! /usr/bin/env python
	"""
	Author: Jeremy M. Stober
	Program: SOFTMAX.PY
	Date: Wednesday, February 29 2012
	Description: Simple softmax function.
	"""

	import numpy as np
	npa = np.array

	void FindMatches(const Mat &img1, const Mat &img2, vector<MatchPair> &ret_matches)
	{
	Mat grey1, grey2;

	cvtColor(img1, grey1, CV_BGR2GRAY);
	cvtColor(img2, grey2, CV_BGR2GRAY);

	// Detecting keypoints
	Ptr<FeatureDetector> detector = FeatureDetector::create("SURF");
	Ptr<DescriptorExtractor> descriptorExtractor = DescriptorExtractor::create("SURF");

	cmake_minimum_required(VERSION 2.8)
	project(SimplePanoStitcher)

	set(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake;${CMAKE_MODULE_PATH}")
	set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${PROJECT_BINARY_DIR}/bin)
	set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${PROJECT_BINARY_DIR}/lib)
	set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${PROJECT_BINARY_DIR}/lib)

	find_package(OpenCV REQUIRED core imgproc highgui calib3d features2d nonfree)
	include_directories(${OpenCV_INCLUDE_DIRS})

	void ReadImages(vector<PanoImage> *pano_images);

	int main(int argc, char **argv)
	{
	vector <PanoImage> pano_images;

	ReadImages(&pano_images);

	// Some error checking
	for (size_t i = 0; i < pano_images.size(); ++i)