From 7bf74b986e4408c76136a1add6f25bb2266ede03 Mon Sep 17 00:00:00 2001
From: mutantturkey <mutantturke@gmail.com>
Date: Thu, 27 Sep 2012 18:14:08 -0400
Subject: convert to OpenCV and C++ initial commit

---
 fly-tools/background/main.cpp | 173 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 173 insertions(+)
 create mode 100644 fly-tools/background/main.cpp

(limited to 'fly-tools/background')

diff --git a/fly-tools/background/main.cpp b/fly-tools/background/main.cpp
new file mode 100644
index 0000000..2c9fd60
--- /dev/null
+++ b/fly-tools/background/main.cpp
@@ -0,0 +1,173 @@
+#include <iostream>
+#include <cstdlib>
+#include <sstream>
+#include <fstream>
+#include <opencv/cv.h>
+#include <opencv/highgui.h>
+
+#define round(x)((int)((x)+0.5))
+#define array(i,j,k,l) (array[height*width*i + width*j + k + l])
+
+int nImages;
+unsigned long height = 0;
+unsigned long width = 0;
+
+int findmax (uint8_t *p, int n) {
+  int mx = 0, v = p[0];
+  for (int i = 1; i < n; i++) {
+    if (p[i] > v) {
+      v = p[i];
+      mx = i;
+    }
+  }
+  return mx;
+}
+
+using namespace std;
+using namespace cv;
+
+int main(int argc, char **argv ) {
+
+  string usage = "derive-background -i <input-list> -o <output-filename>";
+  string output_file;
+  string inputFileName;
+  int c;
+
+  while ((c = getopt (argc, argv, "i:o:h")) != -1)
+    switch (c) {
+      case 'i':
+        inputFileName = optarg;
+        break;
+      case 'o':
+        output_file = optarg;
+        break;
+      case 'h':
+        cout << usage << endl;
+        exit(EXIT_FAILURE);
+        break;
+      default:
+        break;
+    }
+
+  if( inputFileName.empty() || output_file.empty() ) {
+    cout << usage << endl;
+    exit(EXIT_FAILURE);
+  }
+
+  IplImage *first_image, *input_image, *output_image;
+
+  int i,j, k;
+  int image = 0;
+
+  string filename;
+
+
+
+  // open first image in input_file to deterimine the height and width
+  ifstream input_file(inputFileName.c_str());
+
+  if (input_file.fail() ) {
+    cerr << "cannot open the input file that contains name of the input images\n";
+    exit(EXIT_FAILURE);
+  }
+
+
+  // Read first line for our first image and rewind
+  input_file>>filename; 
+  //  input_file.seekg (0, ios::beg);
+
+  cout << filename << endl;
+  first_image = cvLoadImage(filename.c_str(), CV_LOAD_IMAGE_UNCHANGED);
+
+  if(!first_image) {
+    cerr << "couldn't read first image" << endl;
+    exit(1);
+  } 
+  // Get our height and width 
+  int height = first_image->height;
+  int width = first_image->width;
+
+  if (height == 0 || width == 0) {
+    cerr << "height or width = 0!" << endl;
+    exit(1);
+  }
+
+  cout << "height: " << height << " width: " << width << endl;
+
+  // count number of images we have in the file
+  input_file.clear();
+  input_file.seekg(0);
+  while(input_file>>filename) {
+    nImages++;
+  }
+
+  cout << "number of images: " << nImages << endl;
+
+  // initialize the storage arrays
+  uint8_t * array = (uint8_t *)malloc(nImages*height*width*3*sizeof(uint8_t));
+  if(array == NULL) {
+    cerr << "could not allocate the proper memory, sorry!" << endl;
+    exit(EXIT_FAILURE);
+  }
+
+  input_file.clear();
+  input_file.seekg(0);
+
+  while (input_file>>filename) {
+
+    input_image = cvLoadImage(filename.c_str(), CV_LOAD_IMAGE_UNCHANGED);
+
+    cout << "Image number " << image << "Filename " << filename << endl;
+
+    for (j=0; j<width; j++) {
+      for (i=0; i<height; i++) {
+        CvScalar s;
+        s = cvGet2D(input_image, i, j);
+
+                array(image,i,j,0) = s.val[2];
+                array(image,i,j,1) = s.val[1];
+                array(image,i,j,2) = s.val[0]; 
+      }
+    }
+    // TODO: free image
+    image++;
+  }
+
+  // calculate histograms
+  output_image = cvCreateImage(cvSize(width,height),IPL_DEPTH_32F,3);
+
+  for (j = 0; j < height; j++) {
+    for (k = 0; k < width; k++) {
+
+      CvScalar s;
+
+      uint8_t red_histogram[255] = { 0 };
+      uint8_t blue_histogram[255] = { 0 };
+      uint8_t green_histogram[255] = { 0 };
+
+      for (i = 0; i < nImages; i++) {
+        red_histogram[array(i,j,k,0)] += 1;
+        blue_histogram[array(i,j,k,1)] += 1;
+        green_histogram[array(i,j,k,2)] += 1;
+      }
+
+      int red_val = findmax(red_histogram, 255);
+      int blue_val = findmax(blue_histogram, 255);
+      int green_val = findmax(green_histogram, 255);
+
+      s.val[2] = red_val;
+      s.val[1] = blue_val; 
+      s.val[0] = green_val; 
+
+      cvSet2D(output_image, j, k, s);
+    }
+  }
+
+
+  if(!cvSaveImage(output_file.c_str(), output_image)) {
+    cerr << "Could not save "<< output_file << endl;
+    exit(EXIT_FAILURE);
+  }
+
+  return EXIT_SUCCESS;
+}
-- 
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