diff --git a/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/AODNet.py b/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/AODNet.py
index 209daee..27241ab 100644
--- a/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/AODNet.py	
+++ b/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/AODNet.py	
@@ -92,7 +92,7 @@ def Dehaze(img_path, Params = None, model_path = 'lib/Algorithms/pretrained_aod_
 	x = np.expand_dims(img, axis=0).transpose(0,3,1,2)
 
 	# Loading model weights
-	np_weights = np.load(model_path).item()
+	np_weights = np.load(model_path, allow_pickle=True).item()
 
 	output = aod_net(x, np_weights)
 	output = np.squeeze(output)
diff --git a/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/DXDetector.py b/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/DXDetector.py
index 47d9b78..ce5de29 100644
--- a/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/DXDetector.py	
+++ b/Computer Vision Toolkit/Computer Vision Toolkit/lib/Algorithms/DXDetector.py	
@@ -85,7 +85,7 @@ def DebrisDetect(img_path, Params):
 	avg_dim = (((width+height)//2)//3)*2
 
 	# Gaussian Blur
-	proc_img = cv2.GaussianBlur(img, (5,5), Params["LineGaussianIter"])
+	proc_img = cv2.GaussianBlur(cv2.UMat(img), (5,5), Params["LineGaussianIter"])
 
     # Kernel Dilation
 	proc_img = cv2.dilate(proc_img, (5,5), iterations=Params["LineDilationIter"])
@@ -97,7 +97,7 @@ def DebrisDetect(img_path, Params):
 	dst = cv2.Canny(proc_img, Params["LineCannyEdgeLowerBound"], Params["LineCannyEdgeThreshold"])
 	cdst = cv2.cvtColor(dst, cv2.COLOR_GRAY2BGR)
 
-	lines = cv2.HoughLines(dst, 0.7, float(np.pi / 180.0), int(avg_dim/2))
+	lines = cv2.HoughLines(dst, 0.7, float(np.pi / 180.0), int(avg_dim/2)).get()
 
 	# If lines are found
 	if lines is not None:
@@ -124,13 +124,13 @@ def DebrisDetect(img_path, Params):
 	else:
 
 		# Gaussian Blur
-		proc2_img = cv2.GaussianBlur(img, (5,5), Params["CornerGaussianIter"])
+		proc2_img = cv2.GaussianBlur(cv2.UMat(img), (5,5), Params["CornerGaussianIter"])
 
 		# Erosion
 		proc2_img = cv2.erode(proc2_img, (5,5), iterations=Params["CornerErosionIter"])
 
 		# Stronger Bilateral Blur
-		proc2_img = cv2.bilateralFilter(proc2_img, 16, Params["CornerBilateralColor"], Params["CornerBilateralSpace"])
+		proc2_img = cv2.bilateralFilter(proc2_img, 16, Params["CornerBilateralColor"], Params["CornerBilateralSpace"]).get()
 
 		# Shi-Tomasi
 		gray = cv2.cvtColor(proc2_img, cv2.COLOR_BGR2GRAY)
diff --git a/README.md b/README.md
index 85a6337..3fc3128 100644
--- a/README.md
+++ b/README.md
@@ -3,12 +3,15 @@
 Release version can be found at: http://cver.hrail.crasar.org
 
 ## Visual Studio
-* Microsoft .NET Framework 4.6.1
+* Microsoft .NET Framework 4.6.1.
+  * Visual Studio will ask whether you want to download it when you open the project and will point you to the download page at https://dotnet.microsoft.com/download/visual-studio-sdks?utm_source=getdotnetsdk&utm_medium=referral
 * Microsoft Visual Studio 2017 Installer Projects Extension
   * This can be installed by clicking ```Tools -> Extensions and Updates... -> Online``` then entering the name of the extension in the search box
   
 
 ## Python Setup
+The first time the project is run inside Visual Studio, it will download and install the required Python packages.
+
 * Python 3.6.4
   * https://www.python.org
 * OpenCV