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Add dilate libopencv filter.

Originally committed as revision 26096 to svn://svn.ffmpeg.org/ffmpeg/trunk
This commit is contained in:
Stefano Sabatini 2010-12-26 11:27:05 +00:00
parent a187c68678
commit 91cbb6ba53
3 changed files with 212 additions and 1 deletions

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@ -532,6 +532,52 @@ informations:
Follows the list of supported libopencv filters.
@subsection dilate
Dilate an image by using a specific structuring element.
This filter corresponds to the libopencv function @code{cvDilate}.
It accepts the parameters: @var{struct_el}:@var{nb_iterations}.
@var{struct_el} represents a structuring element, and has the syntax:
@var{cols}x@var{rows}+@var{anchor_x}x@var{anchor_y}/@var{shape}
@var{cols} and @var{rows} represent the number of colums and rows of
the structuring element, @var{anchor_x} and @var{anchor_y} the anchor
point, and @var{shape} the shape for the structuring element, and
can be one of the values "rect", "cross", "ellipse", "custom".
If the value for @var{shape} is "custom", it must be followed by a
string of the form "=@var{filename}". The file with name
@var{filename} is assumed to represent a binary image, with each
printable character corresponding to a bright pixel. When a custom
@var{shape} is used, @var{cols} and @var{rows} are ignored, the number
or columns and rows of the read file are assumed instead.
The default value for @var{struct_el} is "3x3+0x0/rect".
@var{nb_iterations} specifies the number of times the transform is
applied to the image, and defaults to 1.
Follow some example:
@example
# use the default values
ocv=dilate
# dilate using a structuring element with a 5x5 cross, iterate two times
ocv=dilate=5x5+2x2/cross:2
# read the shape from the file diamond.shape, iterate two times
# the file diamond.shape may contain a pattern of characters like this:
# *
# ***
# *****
# ***
# *
# the specified cols and rows are ignored (but not the anchor point coordinates)
ocv=0x0+2x2/custom=diamond.shape:2
@end example
@subsection smooth
Smooth the input video.

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@ -28,7 +28,7 @@
#define LIBAVFILTER_VERSION_MAJOR 1
#define LIBAVFILTER_VERSION_MINOR 70
#define LIBAVFILTER_VERSION_MICRO 0
#define LIBAVFILTER_VERSION_MICRO 1
#define LIBAVFILTER_VERSION_INT AV_VERSION_INT(LIBAVFILTER_VERSION_MAJOR, \
LIBAVFILTER_VERSION_MINOR, \

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@ -23,8 +23,12 @@
* libopencv wrapper functions
*/
/* #define DEBUG */
#include <opencv/cv.h>
#include <opencv/cxtypes.h>
#include "libavutil/avstring.h"
#include "libavutil/file.h"
#include "avfilter.h"
static void fill_iplimage_from_picref(IplImage *img, const AVFilterBufferRef *picref, enum PixelFormat pixfmt)
@ -127,6 +131,166 @@ static void smooth_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplIm
cvSmooth(inimg, outimg, smooth->type, smooth->param1, smooth->param2, smooth->param3, smooth->param4);
}
static int read_shape_from_file(int *cols, int *rows, int **values, const char *filename,
void *log_ctx)
{
uint8_t *buf, *p, *pend;
size_t size;
int ret, i, j, w;
if ((ret = av_file_map(filename, &buf, &size, 0, log_ctx)) < 0)
return ret;
/* prescan file to get the number of lines and the maximum width */
w = 0;
for (i = 0; i < size; i++) {
if (buf[i] == '\n') {
if (*rows == INT_MAX) {
av_log(log_ctx, AV_LOG_ERROR, "Overflow on the number of rows in the file\n");
return AVERROR_INVALIDDATA;
}
++(*rows);
*cols = FFMAX(*cols, w);
w = 0;
} else if (w == INT_MAX) {
av_log(log_ctx, AV_LOG_ERROR, "Overflow on the number of columns in the file\n");
return AVERROR_INVALIDDATA;
}
w++;
}
if (*rows > (FF_INTERNAL_MEM_TYPE_MAX_VALUE / (sizeof(int)) / *cols)) {
av_log(log_ctx, AV_LOG_ERROR, "File with size %dx%d is too big\n",
*rows, *cols);
return AVERROR_INVALIDDATA;
}
if (!(*values = av_mallocz(sizeof(int) * *rows * *cols)))
return AVERROR(ENOMEM);
/* fill *values */
p = buf;
pend = buf + size-1;
for (i = 0; i < *rows; i++) {
for (j = 0;; j++) {
if (p > pend || *p == '\n') {
p++;
break;
} else
(*values)[*cols*i + j] = !!isgraph(*(p++));
}
}
av_file_unmap(buf, size);
#ifdef DEBUG
{
char *line;
if (!(line = av_malloc(*cols + 1)))
return AVERROR(ENOMEM);
for (i = 0; i < *rows; i++) {
for (j = 0; j < *cols; j++)
line[j] = (*values)[i * *cols + j] ? '@' : ' ';
line[j] = 0;
av_log(log_ctx, AV_LOG_DEBUG, "%3d: %s\n", i, line);
}
av_free(line);
}
#endif
return 0;
}
static int parse_iplconvkernel(IplConvKernel **kernel, char *buf, void *log_ctx)
{
char shape_filename[128] = "", shape_str[32] = "rect";
int cols = 0, rows = 0, anchor_x = 0, anchor_y = 0, shape = CV_SHAPE_RECT;
int *values = NULL, ret;
sscanf(buf, "%dx%d+%dx%d/%32[^=]=%127s", &cols, &rows, &anchor_x, &anchor_y, shape_str, shape_filename);
if (!strcmp(shape_str, "rect" )) shape = CV_SHAPE_RECT;
else if (!strcmp(shape_str, "cross" )) shape = CV_SHAPE_CROSS;
else if (!strcmp(shape_str, "ellipse")) shape = CV_SHAPE_ELLIPSE;
else if (!strcmp(shape_str, "custom" )) {
shape = CV_SHAPE_CUSTOM;
if ((ret = read_shape_from_file(&cols, &rows, &values, shape_filename, log_ctx)) < 0)
return ret;
} else {
av_log(log_ctx, AV_LOG_ERROR,
"Shape unspecified or type '%s' unknown\n.", shape_str);
return AVERROR(EINVAL);
}
if (rows <= 0 || cols <= 0) {
av_log(log_ctx, AV_LOG_ERROR,
"Invalid non-positive values for shape size %dx%d\n", cols, rows);
return AVERROR(EINVAL);
}
if (anchor_x < 0 || anchor_y < 0 || anchor_x >= cols || anchor_y >= rows) {
av_log(log_ctx, AV_LOG_ERROR,
"Shape anchor %dx%d is not inside the rectangle with size %dx%d.\n",
anchor_x, anchor_y, cols, rows);
return AVERROR(EINVAL);
}
*kernel = cvCreateStructuringElementEx(cols, rows, anchor_x, anchor_y, shape, values);
av_freep(&values);
if (!*kernel)
return AVERROR(ENOMEM);
av_log(log_ctx, AV_LOG_INFO, "Structuring element: w:%d h:%d x:%d y:%d shape:%s\n",
rows, cols, anchor_x, anchor_y, shape_str);
return 0;
}
typedef struct {
int nb_iterations;
IplConvKernel *kernel;
} DilateContext;
static av_cold int dilate_init(AVFilterContext *ctx, const char *args, void *opaque)
{
OCVContext *ocv = ctx->priv;
DilateContext *dilate = ocv->priv;
char default_kernel_str[] = "3x3+0x0/rect";
char *kernel_str;
const char *buf = args;
int ret;
dilate->nb_iterations = 1;
if (args)
kernel_str = av_get_token(&buf, ":");
if ((ret = parse_iplconvkernel(&dilate->kernel,
*kernel_str ? kernel_str : default_kernel_str,
ctx)) < 0)
return ret;
av_free(kernel_str);
sscanf(buf, ":%d", &dilate->nb_iterations);
av_log(ctx, AV_LOG_INFO, "iterations_nb:%d\n", dilate->nb_iterations);
if (dilate->nb_iterations <= 0) {
av_log(ctx, AV_LOG_ERROR, "Invalid non-positive value '%d' for nb_iterations\n",
dilate->nb_iterations);
return AVERROR(EINVAL);
}
return 0;
}
static av_cold void dilate_uninit(AVFilterContext *ctx)
{
OCVContext *ocv = ctx->priv;
DilateContext *dilate = ocv->priv;
cvReleaseStructuringElement(&dilate->kernel);
}
static void dilate_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg)
{
OCVContext *ocv = ctx->priv;
DilateContext *dilate = ocv->priv;
cvDilate(inimg, outimg, dilate->kernel, dilate->nb_iterations);
}
typedef struct {
const char *name;
size_t priv_size;
@ -136,6 +300,7 @@ typedef struct {
} OCVFilterEntry;
static OCVFilterEntry ocv_filter_entries[] = {
{ "dilate", sizeof(DilateContext), dilate_init, dilate_uninit, dilate_end_frame_filter },
{ "smooth", sizeof(SmoothContext), smooth_init, NULL, smooth_end_frame_filter },
};