mirror of
https://gitlab.freedesktop.org/gstreamer/gstreamer.git
synced 2024-11-19 00:01:23 +00:00
411 lines
10 KiB
C
411 lines
10 KiB
C
#ifdef HAVE_CONFIG_H
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# include <config.h>
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#endif
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#include <math.h>
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#include <gst/gst.h>
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#include <gst/controller/gstcontroller.h>
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#include "gstplugin.h"
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#include "gstgaussblur.h"
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static gboolean gauss_blur_stop (GstBaseTransform * btrans);
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static gboolean gauss_blur_set_caps (GstBaseTransform * btrans,
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GstCaps * incaps, GstCaps * outcaps);
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static GstFlowReturn gauss_blur_process_frame (GstBaseTransform * btrans,
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GstBuffer * in_buf, GstBuffer * out_buf);
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static void gauss_blur_set_property (GObject * object,
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guint prop_id, const GValue * value, GParamSpec * pspec);
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static void gauss_blur_get_property (GObject * object,
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guint prop_id, GValue * value, GParamSpec * pspec);
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GST_DEBUG_CATEGORY_STATIC (gst_gauss_blur_debug);
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#define GST_CAT_DEFAULT gst_gauss_blur_debug
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#if G_BYTE_ORDER == G_LITTLE_ENDIAN
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#define CAPS_STR_RGB GST_VIDEO_CAPS_BGRx ";" GST_VIDEO_CAPS_RGBx
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#else
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#define CAPS_STR_RGB GST_VIDEO_CAPS_xRGB ";" GST_VIDEO_CAPS_xBGR
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#endif
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#define CAPS_STR GST_VIDEO_CAPS_YUV("AYUV")
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/* The capabilities of the inputs and outputs. */
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static GstStaticPadTemplate sink_factory = GST_STATIC_PAD_TEMPLATE ("sink",
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GST_PAD_SINK,
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GST_PAD_ALWAYS,
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GST_STATIC_CAPS (CAPS_STR)
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);
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static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src",
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GST_PAD_SRC,
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GST_PAD_ALWAYS,
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GST_STATIC_CAPS (CAPS_STR)
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);
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enum
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{
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PROP_0,
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PROP_SIGMA,
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PROP_LAST
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};
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static void cleanup (GaussBlur * gb);
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static gboolean make_gaussian_kernel (GaussBlur * gb, float sigma);
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static void gaussian_smooth (GaussBlur * gb, guint8 * image,
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guint8 * out_image);
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GST_BOILERPLATE (GaussBlur, gauss_blur, GstVideoFilter, GST_TYPE_VIDEO_FILTER);
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#define DEFAULT_SIGMA 1.2
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static void
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gauss_blur_base_init (gpointer gclass)
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{
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GstElementClass *element_class = GST_ELEMENT_CLASS (gclass);
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gst_element_class_set_details_simple (element_class,
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"GaussBlur",
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"Filter/Effect/Video",
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"Perform Gaussian blur/sharpen on a video",
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"Jan Schmidt <thaytan@noraisin.net>");
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gst_element_class_add_pad_template (element_class,
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gst_static_pad_template_get (&src_factory));
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gst_element_class_add_pad_template (element_class,
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gst_static_pad_template_get (&sink_factory));
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}
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static void
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gauss_blur_class_init (GaussBlurClass * klass)
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{
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GObjectClass *object_class = (GObjectClass *) klass;
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GstBaseTransformClass *trans_class = (GstBaseTransformClass *) klass;
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object_class->set_property = gauss_blur_set_property;
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object_class->get_property = gauss_blur_get_property;
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trans_class->stop = gauss_blur_stop;
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trans_class->set_caps = gauss_blur_set_caps;
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trans_class->transform = gauss_blur_process_frame;
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g_object_class_install_property (object_class, PROP_SIGMA,
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g_param_spec_double ("sigma", "Sigma",
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"Sigma value for gaussian blur (negative for sharpen)",
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-20.0, 20.0, DEFAULT_SIGMA,
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G_PARAM_READWRITE | GST_PARAM_CONTROLLABLE | G_PARAM_STATIC_STRINGS));
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}
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static void
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gauss_blur_init (GaussBlur * gb, GaussBlurClass * gclass)
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{
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gb->sigma = DEFAULT_SIGMA;
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gb->cur_sigma = -1.0;
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}
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static void
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cleanup (GaussBlur * gb)
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{
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g_free (gb->tempim);
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gb->tempim = NULL;
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g_free (gb->smoothedim);
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gb->smoothedim = NULL;
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g_free (gb->kernel);
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gb->kernel = NULL;
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g_free (gb->kernel_sum);
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gb->kernel_sum = NULL;
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}
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static gboolean
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gauss_blur_stop (GstBaseTransform * btrans)
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{
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GaussBlur *gb = GAUSS_BLUR (btrans);
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cleanup (gb);
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return TRUE;
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}
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static gboolean
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gauss_blur_set_caps (GstBaseTransform * btrans,
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GstCaps * incaps, GstCaps * outcaps)
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{
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GaussBlur *gb = GAUSS_BLUR (btrans);
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GstStructure *structure;
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GstVideoFormat format;
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guint32 n_elems;
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structure = gst_caps_get_structure (incaps, 0);
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g_return_val_if_fail (structure != NULL, FALSE);
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if (!gst_video_format_parse_caps (incaps, &format, &gb->width, &gb->height))
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return FALSE;
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/* get stride */
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gb->stride = gst_video_format_get_row_stride (format, 0, gb->width);
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n_elems = gb->stride * gb->height;
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gb->tempim = g_malloc (sizeof (gfloat) * n_elems);
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//gb->smoothedim = g_malloc (sizeof (guint16) * n_elems);
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return TRUE;
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}
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static GstFlowReturn
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gauss_blur_process_frame (GstBaseTransform * btrans,
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GstBuffer * in_buf, GstBuffer * out_buf)
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{
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GaussBlur *gb = GAUSS_BLUR (btrans);
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GstClockTime timestamp;
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gint64 stream_time;
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gfloat sigma;
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/* GstController: update the properties */
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timestamp = GST_BUFFER_TIMESTAMP (in_buf);
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stream_time =
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gst_segment_to_stream_time (&btrans->segment, GST_FORMAT_TIME, timestamp);
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if (GST_CLOCK_TIME_IS_VALID (stream_time))
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gst_object_sync_values (G_OBJECT (gb), stream_time);
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GST_OBJECT_LOCK (gb);
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sigma = gb->sigma;
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GST_OBJECT_UNLOCK (gb);
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if (gb->cur_sigma != sigma) {
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g_free (gb->kernel);
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gb->kernel = NULL;
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g_free (gb->kernel_sum);
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gb->kernel_sum = NULL;
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gb->cur_sigma = sigma;
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}
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if (gb->kernel == NULL && !make_gaussian_kernel (gb, gb->cur_sigma)) {
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GST_ELEMENT_ERROR (btrans, RESOURCE, NO_SPACE_LEFT, ("Out of memory"),
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("Failed to allocation gaussian kernel"));
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return GST_FLOW_ERROR;
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}
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/*
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* Perform gaussian smoothing on the image using the input standard
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* deviation.
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*/
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memcpy (GST_BUFFER_DATA (out_buf), GST_BUFFER_DATA (in_buf),
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gb->height * gb->stride);
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gaussian_smooth (gb, GST_BUFFER_DATA (in_buf), GST_BUFFER_DATA (out_buf));
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return GST_FLOW_OK;
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}
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static void
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blur_row_x (GaussBlur * gb, guint8 * in_row, gfloat * out_row)
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{
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int c, cc, center;
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float dot[4], sum;
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int k, kmin, kmax;
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center = gb->windowsize / 2;
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for (c = 0; c < gb->width; c++) {
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/* Calculate min */
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cc = center - c;
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kmin = MAX (0, cc);
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cc = kmin - cc;
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/* Calc max */
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kmax = MIN (gb->windowsize, gb->width - cc);
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cc *= 4;
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dot[0] = dot[1] = dot[2] = dot[3] = 0.0;
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/* Calculate sum for range */
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sum = gb->kernel_sum[kmax - 1];
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sum -= kmin ? gb->kernel_sum[kmin - 1] : 0.0;
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for (k = kmin; k < kmax; k++) {
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float coeff = gb->kernel[k];
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dot[0] += (float) in_row[cc++] * coeff;
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dot[1] += (float) in_row[cc++] * coeff;
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dot[2] += (float) in_row[cc++] * coeff;
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dot[3] += (float) in_row[cc++] * coeff;
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}
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out_row[c * 4] = dot[0] / sum;
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out_row[c * 4 + 1] = dot[1] / sum;
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out_row[c * 4 + 2] = dot[2] / sum;
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out_row[c * 4 + 3] = dot[3] / sum;
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}
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}
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static void
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gaussian_smooth (GaussBlur * gb, guint8 * image, guint8 * out_image)
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{
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int r, c, rr, center;
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float dot[4], sum;
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int k, kmin, kmax;
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guint8 *in_row = image;
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float *tmp_out_row = gb->tempim;
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float *tmp_in_pos;
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gint y_avail = 0;
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guint8 *out_row;
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/* Apply the gaussian kernel */
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center = gb->windowsize / 2;
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/* Blur in the y - direction. */
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for (r = 0; r < gb->height; r++) {
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/* Calculate input row range */
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rr = center - r;
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kmin = MAX (0, rr);
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rr = kmin - rr;
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/* Calc max */
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kmax = MIN (gb->windowsize, gb->height - rr);
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/* Precalculate sum for range */
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sum = gb->kernel_sum[kmax - 1];
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sum -= kmin ? gb->kernel_sum[kmin - 1] : 0.0;
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/* Blur more input rows (x direction blur) */
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while (y_avail <= (r + center) && y_avail < gb->height) {
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blur_row_x (gb, in_row, tmp_out_row);
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in_row += gb->stride;
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tmp_out_row += gb->stride;
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y_avail++;
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}
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tmp_in_pos = gb->tempim + (rr * gb->stride);
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out_row = out_image + r * gb->stride;
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for (c = 0; c < gb->width; c++) {
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float *tmp = tmp_in_pos;
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dot[0] = dot[1] = dot[2] = dot[3] = 0.0;
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for (k = kmin; k < kmax; k++, tmp += gb->stride) {
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float kern = gb->kernel[k];
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dot[0] += tmp[0] * kern;
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dot[1] += tmp[1] * kern;
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dot[2] += tmp[2] * kern;
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dot[3] += tmp[3] * kern;
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}
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*out_row++ = (guint8) CLAMP ((dot[0] / sum + 0.5), 0, 255);
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*out_row++ = (guint8) CLAMP ((dot[1] / sum + 0.5), 0, 255);
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*out_row++ = (guint8) CLAMP ((dot[2] / sum + 0.5), 0, 255);
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*out_row++ = (guint8) CLAMP ((dot[3] / sum + 0.5), 0, 255);
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tmp_in_pos += 4;
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}
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}
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}
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/*
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* Create a one dimensional gaussian kernel.
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*/
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static gboolean
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make_gaussian_kernel (GaussBlur * gb, float sigma)
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{
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int i, center, left, right;
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float sum, sum2;
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const float fe = -0.5 / (sigma * sigma);
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const float dx = 1.0 / (sigma * sqrt (2 * G_PI));
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center = ceil (2.5 * fabs (sigma));
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gb->windowsize = (int) (1 + 2 * center);
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gb->kernel = g_new (float, gb->windowsize);
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gb->kernel_sum = g_new (float, gb->windowsize);
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if (gb->kernel == NULL || gb->kernel_sum == NULL)
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return FALSE;
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if (gb->windowsize == 1) {
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gb->kernel[0] = 1.0;
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gb->kernel_sum[0] = 1.0;
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return TRUE;
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}
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/* Center co-efficient */
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sum = gb->kernel[center] = dx;
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/* Other coefficients */
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left = center - 1;
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right = center + 1;
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for (i = 1; i <= center; i++, left--, right++) {
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float fx = dx * pow (G_E, fe * i * i);
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gb->kernel[right] = gb->kernel[left] = fx;
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sum += 2 * fx;
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}
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if (sigma < 0) {
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sum = -sum;
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gb->kernel[center] += 2.0 * sum;
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}
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for (i = 0; i < gb->windowsize; i++)
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gb->kernel[i] /= sum;
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sum2 = 0.0;
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for (i = 0; i < gb->windowsize; i++) {
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sum2 += gb->kernel[i];
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gb->kernel_sum[i] = sum2;
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}
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#if 0
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g_print ("Sigma %f: ", sigma);
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for (i = 0; i < gb->windowsize; i++)
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g_print ("%f ", gb->kernel[i]);
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g_print ("\n");
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g_print ("sums: ");
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for (i = 0; i < gb->windowsize; i++)
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g_print ("%f ", gb->kernel_sum[i]);
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g_print ("\n");
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g_print ("sum %f sum2 %f\n", sum, sum2);
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#endif
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return TRUE;
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}
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static void
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gauss_blur_set_property (GObject * object,
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guint prop_id, const GValue * value, GParamSpec * pspec)
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{
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GaussBlur *gb = GAUSS_BLUR (object);
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switch (prop_id) {
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case PROP_SIGMA:
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GST_OBJECT_LOCK (object);
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gb->sigma = g_value_get_double (value);
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GST_OBJECT_UNLOCK (object);
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break;
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default:
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G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
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break;
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}
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}
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static void
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gauss_blur_get_property (GObject * object,
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guint prop_id, GValue * value, GParamSpec * pspec)
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{
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GaussBlur *gb = GAUSS_BLUR (object);
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switch (prop_id) {
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case PROP_SIGMA:
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GST_OBJECT_LOCK (gb);
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g_value_set_double (value, gb->sigma);
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GST_OBJECT_UNLOCK (gb);
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break;
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default:
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G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
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break;
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}
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}
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/* Register the element factories and other features. */
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gboolean
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gst_gauss_blur_plugin_init (GstPlugin * plugin)
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{
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/* debug category for fltering log messages */
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GST_DEBUG_CATEGORY_INIT (gst_gauss_blur_debug, "gaussianblur",
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0, "Gaussian Blur video effect");
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return gst_element_register (plugin, "gaussianblur", GST_RANK_NONE,
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GST_TYPE_GAUSS_BLUR);
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}
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