panovr

/**
 * R: [0, 255]
 * G: [0, 255]
 * B: [0, 255]
 *
 * H: [0.0, 360.0)
 * S: [0.0, 1.0]
 * V: [0.0, 1.0]
 *
 * If output is RGB of ByteImage3,  then R, G, B is scaled to [0, 255];

panovr

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data/input/STA_2713.JPG
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data/input/STC_2715.JPG

panovr

#include <opencv2/opencv.hpp>

#include <iostream>
#include <vector>
#include <cmath>
#include <assert.h>

using namespace std;
using namespace cv;

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)

panovr

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sample/001.jpg 729.25
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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

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

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

#! /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

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