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-rw-r--r--ext/opencv/gstskindetect.cpp11
1 files changed, 4 insertions, 7 deletions
diff --git a/ext/opencv/gstskindetect.cpp b/ext/opencv/gstskindetect.cpp
index 36d9480e2..8ecb044ff 100644
--- a/ext/opencv/gstskindetect.cpp
+++ b/ext/opencv/gstskindetect.cpp
@@ -1,7 +1,7 @@
/*
* GStreamer
* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
@@ -58,9 +58,6 @@
#include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstskindetect.h"
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/legacy/compat.hpp>
@@ -327,7 +324,7 @@ gst_skin_detect_transform (GstOpencvVideoFilter * base, GstBuffer * buf,
cvCvtColor (filter->cvRGB, filter->cvHSV, CV_RGB2HSV);
cvCvtPixToPlane (filter->cvHSV, filter->cvH, filter->cvS, filter->cvV, 0); /* Extract the 3 color components. */
- /* Detect which pixels in each of the H, S and V channels are probably skin pixels.
+ /* Detect which pixels in each of the H, S and V channels are probably skin pixels.
Assume that skin has a Hue between 0 to 18 (out of 180), and Saturation above 50, and Brightness above 80. */
cvThreshold (filter->cvH, filter->cvH2, 10, UCHAR_MAX, CV_THRESH_BINARY); /* (hue > 10) */
cvThreshold (filter->cvH, filter->cvH, 20, UCHAR_MAX, CV_THRESH_BINARY_INV); /* (hue < 20) */
@@ -337,7 +334,7 @@ gst_skin_detect_transform (GstOpencvVideoFilter * base, GstBuffer * buf,
/* erode the HUE to get rid of noise. */
cvErode (filter->cvH, filter->cvH, NULL, 1);
- /* Combine all 3 thresholded color components, so that an output pixel will only
+ /* Combine all 3 thresholded color components, so that an output pixel will only
be white (255) if the H, S and V pixels were also white.
imageSkin = (hue > 10) ^ (hue < 20) ^ (sat > 48) ^ (val > 80), where ^ mean pixels-wise AND */
cvAnd (filter->cvH, filter->cvS, filter->cvSkinPixels1, NULL);
@@ -375,7 +372,7 @@ gst_skin_detect_transform (GstOpencvVideoFilter * base, GstBuffer * buf,
cvCvtColor (filter->cvdraft, filter->cvRGB, CV_GRAY2RGB);
}
- /* After this we have a RGB Black and white image with the skin, in
+ /* After this we have a RGB Black and white image with the skin, in
filter->cvRGB. We can postprocess by applying 1 erode-dilate and 1
dilate-erode, or alternatively 1 opening-closing all together, with
the goal of removing small (spurious) skin spots and creating large