panovr

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

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

panovr

##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

panovr

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

panovr

#! /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

panovr

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");

panovr

add_library(lmfit STATIC
  lmmin.c lmcurve.c
  lmmin.h lmstruct.h lmcurve.h
)

panovr

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})

panovr

968 648
5
sample/001.jpg 729.25
sample/002.jpg 729.25
sample/003.jpg 729.25
sample/004.jpg 729.25
sample/005.jpg 729.25

panovr

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)