diff --git a/FaceDetectionComparison/face_detection_dlib_hog.py b/FaceDetectionComparison/face_detection_dlib_hog.py
index f26559be3..71639ecb0 100644
--- a/FaceDetectionComparison/face_detection_dlib_hog.py
+++ b/FaceDetectionComparison/face_detection_dlib_hog.py
@@ -11,12 +11,13 @@ def detectFaceDlibHog(detector, frame, inHeight=300, inWidth=0):
     frameWidth = frameDlibHog.shape[1]
     if not inWidth:
         inWidth = int((frameWidth / frameHeight)*inHeight)
-    
+
     scaleHeight = frameHeight / inHeight
     scaleWidth = frameWidth / inWidth
-    
+
     frameDlibHogSmall = cv2.resize(frameDlibHog, (inWidth, inHeight))
 
+    frameDlibHogSmall = cv2.cvtColor(frameDlibHogSmall, cv2.COLOR_BGR2RGB)
     faceRects = detector(frameDlibHogSmall, 0)
     print(frameWidth, frameHeight, inWidth, inHeight)
     bboxes = []
@@ -61,10 +62,9 @@ def detectFaceDlibHog(detector, frame, inHeight=300, inWidth=0):
         vid_writer.write(outDlibHog)
         if frame_count == 1:
             tt_dlibHog = 0
-        
+
         k = cv2.waitKey(10)
         if k == 27:
             break
     cv2.destroyAllWindows()
     vid_writer.release()
-
diff --git a/FaceDetectionComparison/face_detection_dlib_mmod.py b/FaceDetectionComparison/face_detection_dlib_mmod.py
index 916940600..f652cb074 100644
--- a/FaceDetectionComparison/face_detection_dlib_mmod.py
+++ b/FaceDetectionComparison/face_detection_dlib_mmod.py
@@ -11,14 +11,15 @@ def detectFaceDlibMMOD(detector, frame, inHeight=300, inWidth=0):
     frameWidth = frameDlibMMOD.shape[1]
     if not inWidth:
         inWidth = int((frameWidth / frameHeight)*inHeight)
-    
+
     scaleHeight = frameHeight / inHeight
     scaleWidth = frameWidth / inWidth
-    
+
     frameDlibMMODSmall = cv2.resize(frameDlibMMOD, (inWidth, inHeight))
 
+    frameDlibMMODSmall = cv2.cvtColor(frameDlibMMODSmall, cv2.COLOR_BGR2RGB)
     faceRects = detector(frameDlibMMODSmall, 0)
-    
+
     print(frameWidth, frameHeight, inWidth, inHeight)
     bboxes = []
     for faceRect in faceRects:
@@ -68,4 +69,3 @@ def detectFaceDlibMMOD(detector, frame, inHeight=300, inWidth=0):
             break
     cv2.destroyAllWindows()
     vid_writer.release()
-
diff --git a/FaceDetectionComparison/run-all.py b/FaceDetectionComparison/run-all.py
index a4a36d96f..08fd61d66 100644
--- a/FaceDetectionComparison/run-all.py
+++ b/FaceDetectionComparison/run-all.py
@@ -88,12 +88,13 @@ def detectFaceDlibHog(detector, frame, inHeight=300, inWidth=0):
     frameWidth = frameDlibHog.shape[1]
     if not inWidth:
         inWidth = int((frameWidth / frameHeight)*inHeight)
-    
+
     scaleHeight = frameHeight / inHeight
     scaleWidth = frameWidth / inWidth
-    
+
     frameDlibHogSmall = cv2.resize(frameDlibHog, (inWidth, inHeight))
 
+    frameDlibHogSmall = cv2.cvtColor(frameDlibHogSmall, cv2.COLOR_BGR2RGB)
     faceRects = detector(frameDlibHogSmall, 0)
     print(frameWidth, frameHeight, inWidth, inHeight)
     bboxes = []
@@ -113,14 +114,15 @@ def detectFaceDlibMMOD(detector, frame, inHeight=300, inWidth=0):
     frameWidth = frameDlibMMOD.shape[1]
     if not inWidth:
         inWidth = int((frameWidth / frameHeight)*inHeight)
-    
+
     scaleHeight = frameHeight / inHeight
     scaleWidth = frameWidth / inWidth
-    
+
     frameDlibMMODSmall = cv2.resize(frameDlibMMOD, (inWidth, inHeight))
 
+    frameDlibMMODSmall = cv2.cvtColor(frameDlibMMODSmall, cv2.COLOR_BGR2RGB)
     faceRects = detector(frameDlibMMODSmall, 0)
-    
+
     print(frameWidth, frameHeight, inWidth, inHeight)
     bboxes = []
     for faceRect in faceRects:
@@ -200,4 +202,3 @@ def detectFaceDlibMMOD(detector, frame, inHeight=300, inWidth=0):
         break
 cv2.destroyAllWindows()
 vid_writer.release()
-
diff --git a/HandPose/handPoseImage.py b/HandPose/handPoseImage.py
index 5e09b8fe8..d9bf2f29b 100644
--- a/HandPose/handPoseImage.py
+++ b/HandPose/handPoseImage.py
@@ -12,7 +12,7 @@
 frameCopy = np.copy(frame)
 frameWidth = frame.shape[1]
 frameHeight = frame.shape[0]
-aspect_ratio = frameWidth/frameHeight
+aspect_ratio = float(frameWidth)/frameHeight
 
 threshold = 0.1
 
@@ -20,9 +20,7 @@
 # input image dimensions for the network
 inHeight = 368
 inWidth = int(((aspect_ratio*inHeight)*8)//8)
-
-inpBlob = cv2.dnn.blobFromImage(frame, 1.0 / 255, (inWidth, inHeight),
-                          (0, 0, 0), swapRB=False, crop=False)
+inpBlob = cv2.dnn.blobFromImage(frame, 1.0 / 255, (inHeight, inWidth), (0, 0, 0), swapRB=False, crop=False)
 
 net.setInput(inpBlob)