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avfilter/vf_convolution: add column/vertical mode

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Signed-off-by: Paul B Mahol <onemda@gmail.com>
This commit is contained in:
Paul B Mahol 2018-05-04 21:05:52 +02:00
parent 901dc11bb6
commit aba39cc1f1
2 changed files with 144 additions and 47 deletions
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4
doc/filters.texi
View File

@ -6416,7 +6416,7 @@ colorspace=smpte240m
@section convolution
Apply convolution of 3x3, 5x5, 7x7 or horizontal up to 49 elements.
Apply convolution of 3x3, 5x5, 7x7 or horizontal/vertical up to 49 elements.
The filter accepts the following options:
@ -6447,7 +6447,7 @@ Useful for making the overall image brighter or darker. Default is 0.0.
@item 1mode
@item 2mode
@item 3mode
Set matrix mode for each plane. Can be @var{square} or @var{row}.
Set matrix mode for each plane. Can be @var{square}, @var{row} or @var{column}.
Default is @var{square}.
@end table

187
libavfilter/vf_convolution.c
View File

@ -32,6 +32,7 @@
enum MatrixMode {
MATRIX_SQUARE,
MATRIX_ROW,
MATRIX_COLUMN,
MATRIX_NBMODES,
};
@ -60,9 +61,10 @@ typedef struct ConvolutionContext {
void (*setup[4])(int radius, const uint8_t *c[], const uint8_t *src, int stride,
int x, int width, int y, int height, int bpc);
void (*filter[4])(uint8_t *dst, const uint8_t *src, int width,
void (*filter[4])(uint8_t *dst, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius);
const uint8_t *c[], int peak, int radius,
int dstride, int stride);
} ConvolutionContext;
#define OFFSET(x) offsetof(ConvolutionContext, x)
@ -87,6 +89,7 @@ static const AVOption convolution_options[] = {
{ "3mode", "set matrix mode for 4th plane", OFFSET(mode[3]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" },
{ "square", "square matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_SQUARE}, 0, 0, FLAGS, "mode" },
{ "row", "single row matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_ROW} , 0, 0, FLAGS, "mode" },
{ "column", "single column matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_COLUMN}, 0, 0, FLAGS, "mode" },
{ NULL }
};
@ -140,9 +143,10 @@ typedef struct ThreadData {
AVFrame *in, *out;
} ThreadData;
static void filter16_prewitt(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_prewitt(uint8_t *dstp, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -157,9 +161,10 @@ static void filter16_prewitt(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter16_roberts(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_roberts(uint8_t *dstp, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -172,9 +177,10 @@ static void filter16_roberts(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter16_sobel(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_sobel(uint8_t *dstp, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -189,9 +195,10 @@ static void filter16_sobel(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter_prewitt(uint8_t *dst, const uint8_t *src, int width,
static void filter_prewitt(uint8_t *dst, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
const uint8_t *c3 = c[3], *c5 = c[5];
@ -208,9 +215,10 @@ static void filter_prewitt(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter_roberts(uint8_t *dst, const uint8_t *src, int width,
static void filter_roberts(uint8_t *dst, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
int x;
@ -222,9 +230,10 @@ static void filter_roberts(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter_sobel(uint8_t *dst, const uint8_t *src, int width,
static void filter_sobel(uint8_t *dst, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
const uint8_t *c3 = c[3], *c5 = c[5];
@ -241,9 +250,10 @@ static void filter_sobel(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter16_3x3(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_3x3(uint8_t *dstp, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -263,9 +273,10 @@ static void filter16_3x3(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter16_5x5(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_5x5(uint8_t *dstp, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -281,9 +292,10 @@ static void filter16_5x5(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter16_7x7(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_7x7(uint8_t *dstp, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -299,9 +311,10 @@ static void filter16_7x7(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter16_row(uint8_t *dstp, const uint8_t *src, int width,
static void filter16_row(uint8_t *dstp, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
@ -317,9 +330,30 @@ static void filter16_row(uint8_t *dstp, const uint8_t *src, int width,
}
}
static void filter_7x7(uint8_t *dst, const uint8_t *src, int width,
static void filter16_column(uint8_t *dstp, int height,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
uint16_t *dst = (uint16_t *)dstp;
int y;
for (y = 0; y < height; y++) {
int i, sum = 0;
for (i = 0; i < 2 * radius + 1; i++)
sum += AV_RN16A(&c[i][0 + y * stride]) * matrix[i];
sum = (int)(sum * rdiv + bias + 0.5f);
dst[0] = av_clip(sum, 0, peak);
dst += dstride / 2;
}
}
static void filter_7x7(uint8_t *dst, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
int x;
@ -334,9 +368,10 @@ static void filter_7x7(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter_5x5(uint8_t *dst, const uint8_t *src, int width,
static void filter_5x5(uint8_t *dst, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
int x;
@ -351,9 +386,10 @@ static void filter_5x5(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter_3x3(uint8_t *dst, const uint8_t *src, int width,
static void filter_3x3(uint8_t *dst, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
const uint8_t *c3 = c[3], *c4 = c[4], *c5 = c[5];
@ -369,9 +405,10 @@ static void filter_3x3(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter_row(uint8_t *dst, const uint8_t *src, int width,
static void filter_row(uint8_t *dst, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius)
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
int x;
@ -386,6 +423,25 @@ static void filter_row(uint8_t *dst, const uint8_t *src, int width,
}
}
static void filter_column(uint8_t *dst, int height,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride)
{
int y;
for (y = 0; y < height; y++) {
int i, sum = 0;
for (i = 0; i < 2 * radius + 1; i++)
sum += c[i][0 + y * stride] * matrix[i];
sum = (int)(sum * rdiv + bias + 0.5f);
dst[0] = av_clip_uint8(sum);
dst += dstride;
}
}
static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride,
int x, int w, int y, int h, int bpc)
{
@ -448,6 +504,20 @@ static void setup_row(int radius, const uint8_t *c[], const uint8_t *src, int st
}
}
static void setup_column(int radius, const uint8_t *c[], const uint8_t *src, int stride,
int x, int w, int y, int h, int bpc)
{
int i;
for (i = 0; i < radius * 2 + 1; i++) {
int xoff = FFABS(x + i - radius);
xoff = xoff >= h ? 2 * h - 1 - xoff : xoff;
c[i] = src + y * bpc + xoff * stride;
}
}
static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
@ -457,43 +527,64 @@ static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
int plane;
for (plane = 0; plane < s->nb_planes; plane++) {
const int mode = s->mode[plane];
const int bpc = s->bpc;
const int radius = s->size[plane] / 2;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int stride = in->linesize[plane];
const int dstride = out->linesize[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const int sizeh = mode == MATRIX_COLUMN ? width : height;
const int sizew = mode == MATRIX_COLUMN ? height : width;
const int slice_start = (sizeh * jobnr) / nb_jobs;
const int slice_end = (sizeh * (jobnr+1)) / nb_jobs;
const float rdiv = s->rdiv[plane];
const float bias = s->bias[plane];
const uint8_t *src = in->data[plane];
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
const int dst_pos = slice_start * (mode == MATRIX_COLUMN ? bpc : out->linesize[plane]);
uint8_t *dst = out->data[plane] + dst_pos;
const int *matrix = s->matrix[plane];
const int bpc = s->bpc;
const uint8_t *c[49];
int y, x;
if (s->copy[plane]) {
av_image_copy_plane(dst, dstride, src + slice_start * stride, stride,
width * bpc, slice_end - slice_start);
if (mode == MATRIX_COLUMN)
av_image_copy_plane(dst, dstride, src + slice_start * bpc, stride,
(slice_end - slice_start) * bpc, height);
else
av_image_copy_plane(dst, dstride, src + slice_start * stride, stride,
width * bpc, slice_end - slice_start);
continue;
}
for (y = slice_start; y < slice_end; y++) {
const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : radius * bpc;
const int yoff = mode == MATRIX_COLUMN ? radius * stride : 0;
for (x = 0; x < radius; x++) {
const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc;
const int yoff = mode == MATRIX_COLUMN ? x * stride : 0;
s->setup[plane](radius, c, src, stride, x, width, y, height, bpc);
s->filter[plane](dst + x * bpc, src, 1, rdiv,
bias, matrix, c, s->max, radius);
s->filter[plane](dst + yoff + xoff, 1, rdiv,
bias, matrix, c, s->max, radius,
dstride, stride);
}
s->setup[plane](radius, c, src, stride, radius, width, y, height, bpc);
s->filter[plane](dst + radius * bpc, src, width - 2 * radius,
rdiv, bias, matrix, c, s->max, radius);
for (x = width - radius; x < width; x++) {
s->filter[plane](dst + yoff + xoff, sizew - 2 * radius,
rdiv, bias, matrix, c, s->max, radius,
dstride, stride);
for (x = sizew - radius; x < sizew; x++) {
const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc;
const int yoff = mode == MATRIX_COLUMN ? x * stride : 0;
s->setup[plane](radius, c, src, stride, x, width, y, height, bpc);
s->filter[plane](dst + x * bpc, src, 1, rdiv,
bias, matrix, c, s->max, radius);
s->filter[plane](dst + yoff + xoff, 1, rdiv,
bias, matrix, c, s->max, radius,
dstride, stride);
}
dst += dstride;
if (mode != MATRIX_COLUMN)
dst += dstride;
}
}
@ -524,6 +615,8 @@ static int config_input(AVFilterLink *inlink)
for (p = 0; p < s->nb_planes; p++) {
if (s->mode[p] == MATRIX_ROW)
s->filter[p] = filter16_row;
else if (s->mode[p] == MATRIX_COLUMN)
s->filter[p] = filter16_column;
else if (s->size[p] == 3)
s->filter[p] = filter16_3x3;
else if (s->size[p] == 5)
@ -566,7 +659,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in)
td.in = in;
td.out = out;
ctx->internal->execute(ctx, filter_slice, &td, NULL, FFMIN(s->planeheight[1], s->nb_threads));
ctx->internal->execute(ctx, filter_slice, &td, NULL, FFMIN3(s->planeheight[1], s->planewidth[1], s->nb_threads));
av_frame_free(&in);
return ff_filter_frame(outlink, out);
@ -602,6 +695,10 @@ static av_cold int init(AVFilterContext *ctx)
s->filter[i] = filter_row;
s->setup[i] = setup_row;
s->size[i] = s->matrix_length[i];
} else if (s->mode[i] == MATRIX_COLUMN) {
s->filter[i] = filter_column;
s->setup[i] = setup_column;
s->size[i] = s->matrix_length[i];
} else if (s->matrix_length[i] == 9) {
s->size[i] = 3;
if (!memcmp(matrix, same3x3, sizeof(same3x3)))