Updated the code that allows to save the cropped image in result_img directory

README.md

@@ -288,6 +288,7 @@ On Linux find executable file `./darknet` in the root directory, while on Window
 * To calculate anchors: `darknet.exe detector calc_anchors data/obj.data -num_of_clusters 9 -width 416 -height 416`
 * To check accuracy mAP@IoU=50: `darknet.exe detector map data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights`
 * To check accuracy mAP@IoU=75: `darknet.exe detector map data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights -iou_thresh 0.75`
+* To save the cropped image of the object detected: [`uncomment the following lines of code`](https://github.com/shubham-shahh/darknet/blob/95ec9bd9249a7c79bf2fea06dee964365f2fb61b/src/image_opencv.cpp#L980-L996)
 
 ##### For using network video-camera mjpeg-stream with any Android smartphone
 

src/image_opencv.cpp

@@ -977,12 +977,14 @@ extern "C" void draw_detections_cv_v3(mat_cv* mat, detection *dets, int num, flo
                 color.val[2] = blue * 256;
 
                 // you should create directory: result_img
+                //converting cv::Mat type to Iplimage type
+                //IplImage* ipltypeimg = new IplImage(*show_img);
                 //static int copied_frame_id = -1;
                 //static IplImage* copy_img = NULL;
                 //if (copied_frame_id != frame_id) {
                 //    copied_frame_id = frame_id;
-                //    if(copy_img == NULL) copy_img = cvCreateImage(cvSize(show_img->width, show_img->height), show_img->depth, show_img->nChannels);
-                //    cvCopy(show_img, copy_img, 0);
+                //    if(copy_img == NULL) copy_img = cvCreateImage(cvSize(ipltypeimg->width, ipltypeimg->height), ipltypeimg->depth, ipltypeimg->nChannels);
+                //    cvCopy(ipltypeimg, copy_img, 0);
                 //}
                 //static int img_id = 0;
                 //img_id++;