changed tabs to spaces

Author: Pavel Tcherniaev

runvx/README.md

@@ -322,55 +322,55 @@ This example demonstrates building OpenVX graph for pixel-based skin tone detect
 File **skintonedetect.gdf**:
 
     # create input and output images
-	data input  = image:480,360,RGB2
-	data output = image:480,360,U008
-
-	# specify input source for input image and request for displaying input and output images
-	read input  examples/images/face1.jpg
-	view input  inputWindow
-	view output skintoneWindow
-
-	# threshold objects
-	data thr95  = threshold:BINARY,UINT8:INIT,95 # threshold for computing R > 95
-	data thr40  = threshold:BINARY,UINT8:INIT,40 # threshold for computing G > 40
-	data thr20  = threshold:BINARY,UINT8:INIT,20 # threshold for computing B > 20
-	data thr15  = threshold:BINARY,UINT8:INIT,15 # threshold for computing R-G > 15
-	data thr0   = threshold:BINARY,UINT8:INIT,0  # threshold for computing R-B > 0
-
-	# virtual image objects for intermediate results
-	data R      = image-virtual:0,0,U008
-	data G      = image-virtual:0,0,U008
-	data B      = image-virtual:0,0,U008
-	data RmG    = image-virtual:0,0,U008
-	data RmB    = image-virtual:0,0,U008
-	data R95    = image-virtual:0,0,U008
-	data G40    = image-virtual:0,0,U008
-	data B20    = image-virtual:0,0,U008
-	data RmG15  = image-virtual:0,0,U008
-	data RmB0   = image-virtual:0,0,U008
-	data and1   = image-virtual:0,0,U008
-	data and2   = image-virtual:0,0,U008
-	data and3   = image-virtual:0,0,U008
-
-	# extract R,G,B channels and compute R-G and R-B
-	node org.khronos.openvx.channel_extract input !CHANNEL_R R # extract R channel
-	node org.khronos.openvx.channel_extract input !CHANNEL_G G # extract G channel
-	node org.khronos.openvx.channel_extract input !CHANNEL_B B # extract B channel
-	node org.khronos.openvx.subtract R   G   !SATURATE RmG  # compute R-G
-	node org.khronos.openvx.subtract R   B   !SATURATE RmB  # compute R-B
-
-	# compute threshold
-	node org.khronos.openvx.threshold R   thr95 R95         # compute R > 95
-	node org.khronos.openvx.threshold G   thr40 G40         # compute G > 40
-	node org.khronos.openvx.threshold B   thr20 B20         # compute B > 20
-	node org.khronos.openvx.threshold RmG thr15 RmG15       # compute RmG > 15
-	node org.khronos.openvx.threshold RmB thr0  RmB0        # compute RmB > 0
-
-	# aggregate all thresholded values to produce SKIN pixels
-	node org.khronos.openvx.and R95   G40   and1            # compute R95 & G40
-	node org.khronos.openvx.and and1  B20   and2            # compute B20 & and1
-	node org.khronos.openvx.and RmG15 RmB0  and3            # compute RmG15 & RmB0
-	node org.khronos.openvx.and and2 and3 output            # compute and2 & and3 as output
+    data input  = image:480,360,RGB2
+    data output = image:480,360,U008
+
+    # specify input source for input image and request for displaying input and output images
+    read input  examples/images/face1.jpg
+    view input  inputWindow
+    view output skintoneWindow
+
+    # threshold objects
+    data thr95  = threshold:BINARY,UINT8:INIT,95 # threshold for computing R > 95
+    data thr40  = threshold:BINARY,UINT8:INIT,40 # threshold for computing G > 40
+    data thr20  = threshold:BINARY,UINT8:INIT,20 # threshold for computing B > 20
+    data thr15  = threshold:BINARY,UINT8:INIT,15 # threshold for computing R-G > 15
+    data thr0   = threshold:BINARY,UINT8:INIT,0  # threshold for computing R-B > 0
+
+    # virtual image objects for intermediate results
+    data R      = image-virtual:0,0,U008
+    data G      = image-virtual:0,0,U008
+    data B      = image-virtual:0,0,U008
+    data RmG    = image-virtual:0,0,U008
+    data RmB    = image-virtual:0,0,U008
+    data R95    = image-virtual:0,0,U008
+    data G40    = image-virtual:0,0,U008
+    data B20    = image-virtual:0,0,U008
+    data RmG15  = image-virtual:0,0,U008
+    data RmB0   = image-virtual:0,0,U008
+    data and1   = image-virtual:0,0,U008
+    data and2   = image-virtual:0,0,U008
+    data and3   = image-virtual:0,0,U008
+
+    # extract R,G,B channels and compute R-G and R-B
+    node org.khronos.openvx.channel_extract input !CHANNEL_R R # extract R channel
+    node org.khronos.openvx.channel_extract input !CHANNEL_G G # extract G channel
+    node org.khronos.openvx.channel_extract input !CHANNEL_B B # extract B channel
+    node org.khronos.openvx.subtract R   G   !SATURATE RmG  # compute R-G
+    node org.khronos.openvx.subtract R   B   !SATURATE RmB  # compute R-B
+
+    # compute threshold
+    node org.khronos.openvx.threshold R   thr95 R95         # compute R > 95
+    node org.khronos.openvx.threshold G   thr40 G40         # compute G > 40
+    node org.khronos.openvx.threshold B   thr20 B20         # compute B > 20
+    node org.khronos.openvx.threshold RmG thr15 RmG15       # compute RmG > 15
+    node org.khronos.openvx.threshold RmB thr0  RmB0        # compute RmB > 0
+
+    # aggregate all thresholded values to produce SKIN pixels
+    node org.khronos.openvx.and R95   G40   and1            # compute R95 & G40
+    node org.khronos.openvx.and and1  B20   and2            # compute B20 & and1
+    node org.khronos.openvx.and RmG15 RmB0  and3            # compute RmG15 & RmB0
+    node org.khronos.openvx.and and2 and3 output            # compute and2 & and3 as output
 
 
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