diff --git a/exe/FaceLandmarkImg/FaceLandmarkImg.cpp b/exe/FaceLandmarkImg/FaceLandmarkImg.cpp
index 4b6121db..a2083819 100644
--- a/exe/FaceLandmarkImg/FaceLandmarkImg.cpp
+++ b/exe/FaceLandmarkImg/FaceLandmarkImg.cpp
@@ -297,7 +297,7 @@ int main(int argc, char **argv)
 	cout << "Model loaded" << endl;
 
 	cv::CascadeClassifier classifier(det_parameters.haar_face_detector_location);
-	dlib::frontal_face_detector face_detector_hog = dlib::get_frontal_face_detector();
+	dlib::frontal_face_detector face_detector_hog;
 	LandmarkDetector::FaceDetectorMTCNN face_detector_mtcnn(det_parameters.mtcnn_face_detector_location);
 
 	// Load facial feature extractor and AU analyser (make sure it is static)
diff --git a/lib/local/LandmarkDetector/src/LandmarkDetectorModel.cpp b/lib/local/LandmarkDetector/src/LandmarkDetectorModel.cpp
index c72d3e6e..c0c16cbd 100644
--- a/lib/local/LandmarkDetector/src/LandmarkDetectorModel.cpp
+++ b/lib/local/LandmarkDetector/src/LandmarkDetectorModel.cpp
@@ -97,8 +97,6 @@ CLNF::CLNF(const CLNF& other): pdm(other.pdm), params_local(other.params_local.c
 		this->kde_resp_precalc.insert(std::pair<int, cv::Mat_<float>>(it->first, it->second.clone()));
 	}
 
-	this->face_detector_HOG = dlib::get_frontal_face_detector();
-
 }
 
 // Assignment operator for lvalues (makes a deep copy of CLNF)
@@ -155,8 +153,6 @@ CLNF & CLNF::operator= (const CLNF& other)
 		face_detector_MTCNN = other.face_detector_MTCNN;
 	}
 
-	face_detector_HOG = dlib::get_frontal_face_detector();	
-
 	return *this;
 }
 
@@ -184,8 +180,6 @@ CLNF::CLNF(const CLNF&& other)
 	triangulations = other.triangulations;
 	kde_resp_precalc = other.kde_resp_precalc;
 
-	face_detector_HOG = dlib::get_frontal_face_detector();
-
 	face_detector_MTCNN = other.face_detector_MTCNN;
 
 	// Copy over the hierarchical models
@@ -222,8 +216,6 @@ CLNF & CLNF::operator= (const CLNF&& other)
 	triangulations = other.triangulations;
 	kde_resp_precalc = other.kde_resp_precalc;
 
-	face_detector_HOG = dlib::get_frontal_face_detector();
-
 	face_detector_MTCNN = other.face_detector_MTCNN;
 
 	// Copy over the hierarchical models
@@ -336,9 +328,6 @@ void CLNF::Read_CLNF(string clnf_location)
 	// Initialise the patch experts
 	patch_experts.Read(intensity_expert_locations, ccnf_expert_locations, cen_expert_locations, early_term_loc);
 
-	// Read in a face detector
-	face_detector_HOG = dlib::get_frontal_face_detector();
-
 }
 
 void CLNF::Read(string main_location)
diff --git a/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp b/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
index e9637531..edae2638 100644
--- a/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
+++ b/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
@@ -1436,6 +1436,10 @@ namespace LandmarkDetector
 
 	bool DetectFacesHOG(vector<cv::Rect_<double> >& o_regions, const cv::Mat_<uchar>& intensity, dlib::frontal_face_detector& detector, std::vector<double>& o_confidences, double min_width, cv::Rect_<double> roi)
 	{
+		if (detector.num_detectors() == 0)
+		{
+			detector = dlib::get_frontal_face_detector();
+		}
 
 		cv::Mat_<uchar> upsampled_intensity;
 
@@ -1485,6 +1489,12 @@ namespace LandmarkDetector
 
 	bool DetectSingleFaceHOG(cv::Rect_<double>& o_region, const cv::Mat_<uchar>& intensity_img, dlib::frontal_face_detector& detector, double& confidence, cv::Point preference, double min_width, cv::Rect_<double> roi)
 	{
+
+		if (detector.num_detectors() == 0)
+		{
+			detector = dlib::get_frontal_face_detector();
+		}
+
 		// The tracker can return multiple faces
 		vector<cv::Rect_<double> > face_detections;
 		vector<double> confidences;
diff --git a/lib/local/LandmarkDetector/src/Patch_experts.cpp b/lib/local/LandmarkDetector/src/Patch_experts.cpp
index 0a7319bd..a0b59e1d 100644
--- a/lib/local/LandmarkDetector/src/Patch_experts.cpp
+++ b/lib/local/LandmarkDetector/src/Patch_experts.cpp
@@ -59,7 +59,8 @@ using namespace LandmarkDetector;
 
 Patch_experts::Patch_experts(const Patch_experts& other) : patch_scaling(other.patch_scaling), centers(other.centers), svr_expert_intensity(other.svr_expert_intensity), 
 														ccnf_expert_intensity(other.ccnf_expert_intensity), cen_expert_intensity(other.cen_expert_intensity),
-														early_term_weights(other.early_term_weights), early_term_biases(other.early_term_biases), early_term_cutoffs(other.early_term_cutoffs)
+														early_term_weights(other.early_term_weights), early_term_biases(other.early_term_biases), early_term_cutoffs(other.early_term_cutoffs),
+														mirror_inds(other.mirror_inds),mirror_views(other.mirror_views)
 {
 
 	// Make sure the matrices are allocated properly