Files
veejay/veejay-current/veejay-server/libvje/effects/nervous.c
2019-09-08 15:08:29 +02:00

132 lines
3.8 KiB
C

/*
* Linux VeeJay
*
* Copyright(C)2004 Niels Elburg <nwelburg@gmail.com>
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License , or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307 , USA.
*/
/*
Nervous is loosly based on Kentaro's Nervous effect, found
in EffecTV ( http://effectv.sf.net ).
*/
#include "common.h"
#include <veejaycore/vjmem.h>
#include "nervous.h"
#define N_MAX 100
typedef struct {
uint8_t *nervous_buf[4];
int frames_elapsed;
} nervous_t;
vj_effect *nervous_init(int w, int h)
{
vj_effect *ve = (vj_effect *) vj_calloc(sizeof(vj_effect));
ve->num_params = 1;
ve->defaults = (int *) vj_calloc(sizeof(int) * ve->num_params); /* default values */
ve->limits[0] = (int *) vj_calloc(sizeof(int) * ve->num_params); /* min */
ve->limits[1] = (int *) vj_calloc(sizeof(int) * ve->num_params); /* max */
ve->limits[0][0] = 0;
ve->limits[1][0] = N_MAX;
ve->defaults[0] = N_MAX;
ve->description = "Nervous";
ve->sub_format = -1;
ve->extra_frame = 0;
ve->has_user = 0;
ve->param_description = vje_build_param_list( ve->num_params, "Buffer length");
return ve;
}
void *nervous_malloc(int w, int h )
{
nervous_t *n = (nervous_t*) vj_calloc(sizeof(nervous_t));
if(!n) {
return NULL;
}
size_t total_len = RUP8(w * h * N_MAX * 4);
n->nervous_buf[0] = (uint8_t*) vj_malloc(sizeof(uint8_t) * total_len);
if(!n->nervous_buf[0]) {
free(n);
return NULL;
}
n->nervous_buf[1] = n->nervous_buf[0] + RUP8(w*h*N_MAX);
n->nervous_buf[2] = n->nervous_buf[1] + RUP8(w*h*N_MAX);
n->nervous_buf[3] = n->nervous_buf[2] + RUP8(w*h*N_MAX);
n->frames_elapsed = 0;
vj_frame_clear1( n->nervous_buf[0], 0, (w*h) * N_MAX );
vj_frame_clear1( n->nervous_buf[1], 128, (w*h) * N_MAX );
vj_frame_clear1( n->nervous_buf[2], 128, (w*h) * N_MAX );
vj_frame_clear1( n->nervous_buf[3], 0, (w*h) * N_MAX );
return (void*) n;
}
void nervous_free(void *ptr)
{
nervous_t *n = (nervous_t*) ptr;
free(n->nervous_buf[0]);
free(n);
}
void nervous_apply( void *ptr, VJFrame *frame, int *args ) {
int length = args[0];
nervous_t *n = (nervous_t*) ptr;
const int len = frame->len;
int uv_len = (frame->ssm == 1 ? len : frame->uv_len);
uint8_t *NY = n->nervous_buf[0] + (len * n->frames_elapsed );
uint8_t *NCb= n->nervous_buf[1] + (uv_len * n->frames_elapsed );
uint8_t *NCr= n->nervous_buf[2] + (uv_len * n->frames_elapsed );
uint8_t *NA = n->nervous_buf[3] + (len * n->frames_elapsed);
uint8_t *dest[4] = { NY, NCb, NCr, NA };
int strides[4] = { len, uv_len,uv_len, len };
// copy original into nervous buf
vj_frame_copy( frame->data, dest, strides );
if(n->frames_elapsed > 0)
{
// take a random frame
unsigned int index = (unsigned int) ((double)n->frames_elapsed * rand() / (RAND_MAX+1.0) );
// setup pointers
uint8_t *sY = n->nervous_buf[0] + (len * index);
uint8_t *sCb = n->nervous_buf[1] + (uv_len * index);
uint8_t *sCr = n->nervous_buf[2] + (uv_len * index);
uint8_t *sA = n->nervous_buf[3] + (len * index);
// copy it to dst
dest[0] = sY;
dest[1] = sCb;
dest[2] = sCr;
dest[3] = sA;
vj_frame_copy( dest, frame->data, strides );
}
n->frames_elapsed ++;
if( n->frames_elapsed == length )
n->frames_elapsed = 0;
}