research.m1stereo.tv/gitweb/ - melted/blob - src/modules/motion_est/filter_autotrack_rectangle.c

   1 /*
   2  *      filter_autotrack_rectangle.c
   3  *
   4  *      /brief
   5  *      /author Zachary Drew, Copyright 2005
   6  *
   7  *
   8  * This program is free software; you can redistribute it and/or modify
   9  * it under the terms of the GNU General Public License as published by
  10  * the Free Software Foundation; either version 2 of the License, or
  11  * (at your option) any later version.
  12  *
  13  * This program is distributed in the hope that it will be useful,
  14  * but WITHOUT ANY WARRANTY; without even the implied warranty of
  15  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  16  * GNU General Public License for more details.
  17  *
  18  * You should have received a copy of the GNU General Public License
  19  * along with this program; if not, write to the Free Software Foundation,
  20  * Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
  21  */
  22
  23 #include "filter_motion_est.h"
  24 #include "arrow_code.h"
  25
  26 #include <framework/mlt.h>
  27
  28 #include <stdio.h>
  29 #include <stdlib.h>
  30 #include <math.h>
  31 #include <string.h>
  32
  33 #define MIN(a,b) ((a) > (b) ? (b) : (a))
  34
  35 #define ROUNDED_DIV(a,b) (((a)>0 ? (a) + ((b)>>1) : (a) - ((b)>>1))/(b))
  36 #define ABS(a) ((a) >= 0 ? (a) : (-(a)))
  37
  38 void caculate_motion( struct motion_vector_s *vectors,
  39                       mlt_geometry_item boundry,
  40                       int macroblock_width,
  41                       int macroblock_height,
  42                       int mv_buffer_width,
  43                       int method,
  44                       int width,
  45                       int height )
  46 {
  47
  48
  49         // translate pixel units (from bounds) to macroblock units
  50         // make sure whole macroblock stay within bounds
  51         int left_mb = ( boundry->x + macroblock_width - 1 ) / macroblock_width;
  52         int top_mb = ( boundry->y + macroblock_height - 1 ) / macroblock_height;
  53         int right_mb = ( boundry->x + boundry->w ) / macroblock_width - 1;
  54         int bottom_mb = ( boundry->y + boundry->h ) / macroblock_height - 1;
  55
  56         int i, j, n = 0;
  57
  58         int average_x = 0, average_y = 0;
  59
  60         #define CURRENT         ( vectors + j*mv_buffer_width + i )
  61
  62         for( i = left_mb; i <= right_mb; i++ ){
  63                 for( j = top_mb; j <= bottom_mb; j++ )
  64                 {
  65                         n++;
  66                         average_x += CURRENT->dx;
  67                         average_y += CURRENT->dy;
  68                 }
  69         }
  70
  71         if ( n == 0 ) return;
  72
  73         average_x /= n;
  74         average_y /= n;
  75
  76         n = 0;
  77         int average2_x = 0, average2_y = 0;
  78         for( i = left_mb; i <= right_mb; i++ ){
  79                 for( j = top_mb; j <= bottom_mb; j++ ){
  80
  81                         if( ABS(CURRENT->dx - average_x) < 3 &&
  82                             ABS(CURRENT->dy - average_y) < 3 )
  83                         {
  84                                 n++;
  85                                 average2_x += CURRENT->dx;
  86                                 average2_y += CURRENT->dy;
  87                         }
  88                 }
  89         }
  90
  91         if ( n == 0 ) return;
  92
  93         boundry->x -= (double)average2_x / (double)n;
  94         boundry->y -= (double)average2_y / (double)n;
  95
  96         if ( boundry->x < 0 )
  97                 boundry->x = 0;
  98
  99         if ( boundry->y < 0 )
 100                 boundry->y = 0;
 101
 102         if ( boundry->x + boundry->w > width )
 103                 boundry->x = width - boundry->w;
 104
 105         if ( boundry->y + boundry->h > height )
 106                 boundry->y = height - boundry->h;
 107 }
 108
 109 // Image stack(able) method
 110 static int filter_get_image( mlt_frame frame, uint8_t **image, mlt_image_format *format, int *width, int *height, int writable )
 111 {
 112
 113         // Get the filter object
 114         mlt_filter filter = mlt_frame_pop_service( frame );
 115
 116         // Get the filter's property object
 117         mlt_properties filter_properties = MLT_FILTER_PROPERTIES(filter);
 118
 119         // Get the frame properties
 120         mlt_properties frame_properties = MLT_FRAME_PROPERTIES(frame);
 121
 122         // Get the frame position
 123         mlt_position position = mlt_frame_get_position( frame );
 124
 125         // Get the new image
 126         int error = mlt_frame_get_image( frame, image, format, width, height, 1 );
 127
 128         if( error != 0 )
 129                 mlt_properties_debug( frame_properties, "error after mlt_frame_get_image() in autotrack_rectangle", stderr );
 130
 131         // Get the geometry object
 132         mlt_geometry geometry = mlt_properties_get_data(filter_properties, "filter_geometry", NULL);
 133
 134         // Get the current geometry item
 135         struct mlt_geometry_item_s boundry;
 136         mlt_geometry_fetch(geometry, &boundry, position);
 137
 138         // Get the motion vectors
 139         struct motion_vector_s *vectors = mlt_properties_get_data( frame_properties, "motion_est.vectors", NULL );
 140
 141         // How did the rectangle move?
 142         if( vectors != NULL &&
 143             boundry.key != 1 ) // Paused?
 144         {
 145
 146                 int method = mlt_properties_get_int( filter_properties, "method" );
 147
 148                 // Get the size of macroblocks in pixel units
 149                 int macroblock_height = mlt_properties_get_int( frame_properties, "motion_est.macroblock_height" );
 150                 int macroblock_width = mlt_properties_get_int( frame_properties, "motion_est.macroblock_width" );
 151                 int mv_buffer_width = *width / macroblock_width;
 152
 153                 caculate_motion( vectors, &boundry, macroblock_width, macroblock_height, mv_buffer_width, method, *width, *height );
 154
 155
 156                 // Make the geometry object a real boy
 157                 boundry.key = 1;
 158                 boundry.f[0] = 1;
 159                 boundry.f[1] = 1;
 160                 boundry.f[2] = 1;
 161                 boundry.f[3] = 1;
 162                 boundry.f[4] = 1;
 163                 mlt_geometry_insert(geometry, &boundry);
 164         }
 165
 166         if( mlt_properties_get_int( filter_properties, "debug" ) == 1 )
 167         {
 168                 init_arrows( format, *width, *height );
 169                 draw_rectangle_outline(*image, boundry.x, boundry.y, boundry.w, boundry.h, 100);
 170         }
 171
 172         if( mlt_properties_get_int( filter_properties, "obscure" ) == 1 )
 173         {
 174                 mlt_filter obscure = mlt_properties_get_data( filter_properties, "_obscure", NULL );
 175
 176                 mlt_properties_pass_list( MLT_FILTER_PROPERTIES(obscure), filter_properties, "in, out");
 177
 178                 // Because filter_obscure needs to be rewritten to use mlt_geometry
 179                 char geom[100];
 180                 sprintf( geom, "%d,%d:%dx%d", (int)boundry.x, (int)boundry.y, (int)boundry.w, (int)boundry.h );
 181                 mlt_properties_set( MLT_FILTER_PROPERTIES( obscure ), "start", geom );
 182                 mlt_properties_set( MLT_FILTER_PROPERTIES( obscure ), "end", geom );
 183         }
 184
 185         if( mlt_properties_get_int( filter_properties, "collect" ) == 1 )
 186         {
 187                 printf( "%d,%d,%d,%d\n", (int)boundry.x, (int)boundry.y, (int)boundry.w, (int)boundry.h );
 188                 fflush( stdout );
 189         }
 190
 191         return error;
 192 }
 193
 194 static int attach_boundry_to_frame( mlt_frame frame, uint8_t **image, mlt_image_format *format, int *width, int *height, int writable )
 195 {
 196         // Get the filter object
 197         mlt_filter filter = mlt_frame_pop_service( frame );
 198
 199         // Get the filter's property object
 200         mlt_properties filter_properties = MLT_FILTER_PROPERTIES(filter);
 201
 202         // Get the frame properties
 203         mlt_properties frame_properties = MLT_FRAME_PROPERTIES(frame);
 204
 205         // Get the frame position
 206         mlt_position position = mlt_frame_get_position( frame );
 207
 208         // Get the geometry object
 209         mlt_geometry geometry = mlt_properties_get_data(filter_properties, "filter_geometry", NULL);
 210         if (geometry == NULL) {
 211                 mlt_geometry geom = mlt_geometry_init();
 212                 char *arg = mlt_properties_get(filter_properties, "geometry");
 213
 214                 // Initialize with the supplied geometry
 215                 struct mlt_geometry_item_s item;
 216                 mlt_geometry_parse_item( geom, &item, arg  );
 217
 218                 item.frame = 0;
 219                 item.key = 1;
 220                 item.mix = 100;
 221
 222                 mlt_geometry_insert( geom, &item );
 223                 mlt_properties_set_data( filter_properties, "filter_geometry", geom, 0, (mlt_destructor)mlt_geometry_close, (mlt_serialiser)mlt_geometry_serialise );
 224                 geometry = mlt_properties_get_data(filter_properties, "filter_geometry", NULL);
 225         }
 226
 227         // Get the current geometry item
 228         mlt_geometry_item geometry_item = mlt_pool_alloc( sizeof( struct mlt_geometry_item_s ) );
 229         mlt_geometry_fetch(geometry, geometry_item, position);
 230
 231         mlt_properties_set_data( frame_properties, "bounds", geometry_item, sizeof( struct mlt_geometry_item_s ), mlt_pool_release, NULL );
 232
 233         // Get the new image
 234         int error = mlt_frame_get_image( frame, image, format, width, height, 1 );
 235
 236         if( error != 0 )
 237                 mlt_properties_debug( frame_properties, "error after mlt_frame_get_image() in autotrack_rectangle attach_boundry_to_frame", stderr );
 238
 239         return error;
 240 }
 241
 242 /** Filter processing.
 243 */
 244
 245 static mlt_frame filter_process( mlt_filter this, mlt_frame frame )
 246 {
 247
 248         /* modify the frame with the current geometry */
 249         mlt_frame_push_service( frame, this);
 250         mlt_frame_push_get_image( frame, attach_boundry_to_frame );
 251
 252
 253
 254         /* apply the motion estimation filter */
 255         mlt_filter motion_est = mlt_properties_get_data( MLT_FILTER_PROPERTIES(this), "_motion_est", NULL );
 256         mlt_filter_process( motion_est, frame);
 257
 258
 259
 260         /* calculate the new geometry based on the motion */
 261         mlt_frame_push_service( frame, this);
 262         mlt_frame_push_get_image( frame, filter_get_image );
 263
 264
 265         /* visualize the motion vectors */
 266         if( mlt_properties_get_int( MLT_FILTER_PROPERTIES(this), "debug" ) == 1 )
 267         {
 268                 mlt_filter vismv = mlt_properties_get_data( MLT_FILTER_PROPERTIES(this), "_vismv", NULL );
 269                 if( vismv == NULL )
 270                 {
 271                         mlt_profile profile = mlt_service_profile( MLT_FILTER_SERVICE( this ) );
 272                         vismv = mlt_factory_filter( profile, "vismv", NULL );
 273                         mlt_properties_set_data( MLT_FILTER_PROPERTIES(this), "_vismv", vismv, 0, (mlt_destructor)mlt_filter_close, NULL );
 274                 }
 275
 276                 mlt_filter_process( vismv, frame );
 277         }
 278
 279         if( mlt_properties_get_int( MLT_FILTER_PROPERTIES(this), "obscure" ) == 1 )
 280         {
 281                 mlt_filter obscure = mlt_properties_get_data( MLT_FILTER_PROPERTIES(this), "_obscure", NULL );
 282                 if( obscure == NULL )
 283                 {
 284                         mlt_profile profile = mlt_service_profile( MLT_FILTER_SERVICE( this ) );
 285                         obscure = mlt_factory_filter( profile, "obscure", NULL );
 286                         mlt_properties_set_data( MLT_FILTER_PROPERTIES(this), "_obscure", obscure, 0, (mlt_destructor)mlt_filter_close, NULL );
 287                 }
 288
 289                 mlt_filter_process( obscure, frame );
 290         }
 291
 292         return frame;
 293 }
 294
 295 /** Constructor for the filter.
 296 */
 297
 298
 299 mlt_filter filter_autotrack_rectangle_init( mlt_profile profile, mlt_service_type type, const char *id, char *arg )
 300 {
 301         mlt_filter this = mlt_filter_new( );
 302         if ( this != NULL )
 303         {
 304                 this->process = filter_process;
 305
 306                 // Initialize with the supplied geometry if ther is one
 307                 if( arg != NULL )
 308                         mlt_properties_set( MLT_FILTER_PROPERTIES( this ), "geometry", arg );
 309                 else
 310                         mlt_properties_set( MLT_FILTER_PROPERTIES( this ), "geometry", "100,100:100x100" );
 311
 312                 // create an instance of the motion_est and obscure filter
 313                 mlt_filter motion_est = mlt_factory_filter( profile, "motion_est", NULL );
 314                 if( motion_est != NULL )
 315                         mlt_properties_set_data( MLT_FILTER_PROPERTIES(this), "_motion_est", motion_est, 0, (mlt_destructor)mlt_filter_close, NULL );
 316                 else {
 317                         mlt_filter_close( this );
 318                         return NULL;
 319                 }
 320
 321
 322         }
 323
 324         return this;
 325 }
 326
 327 /** This source code will self destruct in 5...4...3...
 328 */