mirror of https://git.ffmpeg.org/ffmpeg.git
Add dilate libopencv filter.
Originally committed as revision 26096 to svn://svn.ffmpeg.org/ffmpeg/trunk
This commit is contained in:
Stefano Sabatini
parent
a187c68678
commit
91cbb6ba53
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@ -532,6 +532,52 @@ informations:
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Follows the list of supported libopencv filters.
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@subsection dilate
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Dilate an image by using a specific structuring element.
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This filter corresponds to the libopencv function @code{cvDilate}.
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It accepts the parameters: @var{struct_el}:@var{nb_iterations}.
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@var{struct_el} represents a structuring element, and has the syntax:
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@var{cols}x@var{rows}+@var{anchor_x}x@var{anchor_y}/@var{shape}
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@var{cols} and @var{rows} represent the number of colums and rows of
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the structuring element, @var{anchor_x} and @var{anchor_y} the anchor
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point, and @var{shape} the shape for the structuring element, and
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can be one of the values "rect", "cross", "ellipse", "custom".
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If the value for @var{shape} is "custom", it must be followed by a
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string of the form "=@var{filename}". The file with name
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@var{filename} is assumed to represent a binary image, with each
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printable character corresponding to a bright pixel. When a custom
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@var{shape} is used, @var{cols} and @var{rows} are ignored, the number
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or columns and rows of the read file are assumed instead.
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The default value for @var{struct_el} is "3x3+0x0/rect".
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@var{nb_iterations} specifies the number of times the transform is
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applied to the image, and defaults to 1.
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Follow some example:
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@example
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# use the default values
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ocv=dilate
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# dilate using a structuring element with a 5x5 cross, iterate two times
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ocv=dilate=5x5+2x2/cross:2
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# read the shape from the file diamond.shape, iterate two times
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# the file diamond.shape may contain a pattern of characters like this:
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# *
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# ***
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# *****
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# ***
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# *
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# the specified cols and rows are ignored (but not the anchor point coordinates)
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ocv=0x0+2x2/custom=diamond.shape:2
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@end example
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@subsection smooth
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Smooth the input video.
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@ -28,7 +28,7 @@
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#define LIBAVFILTER_VERSION_MAJOR 1
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#define LIBAVFILTER_VERSION_MINOR 70
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#define LIBAVFILTER_VERSION_MICRO 0
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#define LIBAVFILTER_VERSION_MICRO 1
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#define LIBAVFILTER_VERSION_INT AV_VERSION_INT(LIBAVFILTER_VERSION_MAJOR, \
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LIBAVFILTER_VERSION_MINOR, \
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@ -23,8 +23,12 @@
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* libopencv wrapper functions
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*/
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/* #define DEBUG */
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#include <opencv/cv.h>
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#include <opencv/cxtypes.h>
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#include "libavutil/avstring.h"
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#include "libavutil/file.h"
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#include "avfilter.h"
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static void fill_iplimage_from_picref(IplImage *img, const AVFilterBufferRef *picref, enum PixelFormat pixfmt)
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@ -127,6 +131,166 @@ static void smooth_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplIm
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cvSmooth(inimg, outimg, smooth->type, smooth->param1, smooth->param2, smooth->param3, smooth->param4);
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}
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static int read_shape_from_file(int *cols, int *rows, int **values, const char *filename,
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void *log_ctx)
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{
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uint8_t *buf, *p, *pend;
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size_t size;
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int ret, i, j, w;
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if ((ret = av_file_map(filename, &buf, &size, 0, log_ctx)) < 0)
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return ret;
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/* prescan file to get the number of lines and the maximum width */
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w = 0;
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for (i = 0; i < size; i++) {
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if (buf[i] == '\n') {
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if (*rows == INT_MAX) {
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av_log(log_ctx, AV_LOG_ERROR, "Overflow on the number of rows in the file\n");
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return AVERROR_INVALIDDATA;
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}
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++(*rows);
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*cols = FFMAX(*cols, w);
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w = 0;
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} else if (w == INT_MAX) {
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av_log(log_ctx, AV_LOG_ERROR, "Overflow on the number of columns in the file\n");
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return AVERROR_INVALIDDATA;
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}
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w++;
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}
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if (*rows > (FF_INTERNAL_MEM_TYPE_MAX_VALUE / (sizeof(int)) / *cols)) {
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av_log(log_ctx, AV_LOG_ERROR, "File with size %dx%d is too big\n",
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*rows, *cols);
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return AVERROR_INVALIDDATA;
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}
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if (!(*values = av_mallocz(sizeof(int) * *rows * *cols)))
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return AVERROR(ENOMEM);
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/* fill *values */
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p = buf;
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pend = buf + size-1;
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for (i = 0; i < *rows; i++) {
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for (j = 0;; j++) {
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if (p > pend || *p == '\n') {
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p++;
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break;
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} else
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(*values)[*cols*i + j] = !!isgraph(*(p++));
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}
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}
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av_file_unmap(buf, size);
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#ifdef DEBUG
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{
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char *line;
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if (!(line = av_malloc(*cols + 1)))
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return AVERROR(ENOMEM);
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for (i = 0; i < *rows; i++) {
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for (j = 0; j < *cols; j++)
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line[j] = (*values)[i * *cols + j] ? '@' : ' ';
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line[j] = 0;
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av_log(log_ctx, AV_LOG_DEBUG, "%3d: %s\n", i, line);
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}
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av_free(line);
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}
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#endif
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return 0;
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}
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static int parse_iplconvkernel(IplConvKernel **kernel, char *buf, void *log_ctx)
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{
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char shape_filename[128] = "", shape_str[32] = "rect";
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int cols = 0, rows = 0, anchor_x = 0, anchor_y = 0, shape = CV_SHAPE_RECT;
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int *values = NULL, ret;
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sscanf(buf, "%dx%d+%dx%d/%32[^=]=%127s", &cols, &rows, &anchor_x, &anchor_y, shape_str, shape_filename);
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if (!strcmp(shape_str, "rect" )) shape = CV_SHAPE_RECT;
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else if (!strcmp(shape_str, "cross" )) shape = CV_SHAPE_CROSS;
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else if (!strcmp(shape_str, "ellipse")) shape = CV_SHAPE_ELLIPSE;
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else if (!strcmp(shape_str, "custom" )) {
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shape = CV_SHAPE_CUSTOM;
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if ((ret = read_shape_from_file(&cols, &rows, &values, shape_filename, log_ctx)) < 0)
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return ret;
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} else {
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av_log(log_ctx, AV_LOG_ERROR,
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"Shape unspecified or type '%s' unknown\n.", shape_str);
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return AVERROR(EINVAL);
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}
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if (rows <= 0 || cols <= 0) {
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av_log(log_ctx, AV_LOG_ERROR,
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"Invalid non-positive values for shape size %dx%d\n", cols, rows);
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return AVERROR(EINVAL);
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}
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if (anchor_x < 0 || anchor_y < 0 || anchor_x >= cols || anchor_y >= rows) {
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av_log(log_ctx, AV_LOG_ERROR,
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"Shape anchor %dx%d is not inside the rectangle with size %dx%d.\n",
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anchor_x, anchor_y, cols, rows);
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return AVERROR(EINVAL);
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}
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*kernel = cvCreateStructuringElementEx(cols, rows, anchor_x, anchor_y, shape, values);
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av_freep(&values);
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if (!*kernel)
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return AVERROR(ENOMEM);
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av_log(log_ctx, AV_LOG_INFO, "Structuring element: w:%d h:%d x:%d y:%d shape:%s\n",
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rows, cols, anchor_x, anchor_y, shape_str);
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return 0;
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}
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typedef struct {
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int nb_iterations;
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IplConvKernel *kernel;
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} DilateContext;
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static av_cold int dilate_init(AVFilterContext *ctx, const char *args, void *opaque)
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{
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OCVContext *ocv = ctx->priv;
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DilateContext *dilate = ocv->priv;
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char default_kernel_str[] = "3x3+0x0/rect";
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char *kernel_str;
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const char *buf = args;
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int ret;
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dilate->nb_iterations = 1;
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if (args)
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kernel_str = av_get_token(&buf, ":");
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if ((ret = parse_iplconvkernel(&dilate->kernel,
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*kernel_str ? kernel_str : default_kernel_str,
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ctx)) < 0)
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return ret;
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av_free(kernel_str);
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sscanf(buf, ":%d", &dilate->nb_iterations);
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av_log(ctx, AV_LOG_INFO, "iterations_nb:%d\n", dilate->nb_iterations);
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if (dilate->nb_iterations <= 0) {
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av_log(ctx, AV_LOG_ERROR, "Invalid non-positive value '%d' for nb_iterations\n",
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dilate->nb_iterations);
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return AVERROR(EINVAL);
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}
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return 0;
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}
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static av_cold void dilate_uninit(AVFilterContext *ctx)
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{
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OCVContext *ocv = ctx->priv;
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DilateContext *dilate = ocv->priv;
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cvReleaseStructuringElement(&dilate->kernel);
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}
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static void dilate_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg)
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{
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OCVContext *ocv = ctx->priv;
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DilateContext *dilate = ocv->priv;
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cvDilate(inimg, outimg, dilate->kernel, dilate->nb_iterations);
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}
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typedef struct {
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const char *name;
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size_t priv_size;
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@ -136,6 +300,7 @@ typedef struct {
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} OCVFilterEntry;
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static OCVFilterEntry ocv_filter_entries[] = {
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{ "dilate", sizeof(DilateContext), dilate_init, dilate_uninit, dilate_end_frame_filter },
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{ "smooth", sizeof(SmoothContext), smooth_init, NULL, smooth_end_frame_filter },
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};
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