diff --git a/README.md b/README.md
index ee41c4c..15d87c4 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ Fully check out this repository with submodule ```darknet```. Compile the ```dar
 
 ```
 cd darknet;mkdir build;cd build
-cmake -DCMAKE_INSTALL_PREFIX=<full path to dn_object_detect> ..
+cmake -DOPENCV=OFF -DCMAKE_INSTALL_PREFIX=<full path to dn_object_detect> ..
 make install
 ```
 
diff --git a/src/MultiClassObjectDetector.cpp b/src/MultiClassObjectDetector.cpp
old mode 100644
new mode 100755
index 9ceac54..044608d
--- a/src/MultiClassObjectDetector.cpp
+++ b/src/MultiClassObjectDetector.cpp
@@ -6,9 +6,6 @@
 //  Copyright (c) 2016 Xun Wang. All rights reserved.
 //
 
-#include <opencv2/core/core.hpp>
-#include <opencv2/imgproc/imgproc.hpp>
-
 #include <boost/bind.hpp>
 #include <boost/timer.hpp>
 #include <boost/format.hpp>
@@ -30,6 +27,25 @@
 
 #include "dn_object_detect/DetectedObjects.h"
 
+image ipl_to_image(IplImage* src)
+{
+    unsigned char *data = (unsigned char *)src->imageData;
+    int h = src->height;
+    int w = src->width;
+    int c = src->nChannels;
+    int step = src->widthStep;
+    image out = make_image(w, h, c);
+    int i, j, k, count=0;;
+
+    for(k= 0; k < c; ++k){
+        for(i = 0; i < h; ++i){
+            for(j = 0; j < w; ++j){
+                out.data[count++] = data[i*step + j*c + k]/255.;
+            }
+        }
+    }
+    return out;
+}
 namespace uts_perp {
 
 using namespace std;
@@ -275,7 +291,7 @@ void MultiClassObjectDetector::startDetection()
   cv_ptr_.reset();
   imgMsgPtr_.reset();
 
-  image_transport::TransportHints hints( "compressed" );
+  image_transport::TransportHints hints( "raw" );
   imgSub_ = imgTrans_.subscribe( cameraDevice_, 1,
                                   &MultiClassObjectDetector::processingRawImages, this, hints );