static int
vips_colour_gen( VipsRegion *or,
void *seq, void *a, void *b, gboolean *stop )
{
VipsRegion **ir = (VipsRegion **) seq;
VipsColour *colour = VIPS_COLOUR( b );
VipsColourClass *class = VIPS_COLOUR_GET_CLASS( colour );
VipsRect *r = &or->valid;
int i, y;
VipsPel *p[MAX_INPUT_IMAGES], *q;
if( vips_reorder_prepare_many( or->im, ir, r ) )
return( -1 );
VIPS_GATE_START( "vips_colour_gen: work" );
for( y = 0; y < r->height; y++ ) {
for( i = 0; ir[i]; i++ )
p[i] = VIPS_REGION_ADDR( ir[i], r->left, r->top + y );
p[i] = NULL;
q = VIPS_REGION_ADDR( or, r->left, r->top + y );
class->process_line( colour, q, p, r->width );
}
VIPS_GATE_STOP( "vips_colour_gen: work" );
VIPS_COUNT_PIXELS( or, VIPS_OBJECT_GET_CLASS( colour )->nickname );
return( 0 );
}
static int
thumbnail3( IMAGE *in, IMAGE *out )
{
int shrink;
double residual;
VipsInterpolate *interp;
int result;
shrink = calculate_shrink( in->Xsize, in->Ysize, &residual );
/* For images smaller than the thumbnail, we upscale with nearest
* neighbor. Otherwise we makes thumbnails that look fuzzy and awful.
*/
if( !(interp = VIPS_INTERPOLATE( vips_object_new_from_string(
g_type_class_ref( VIPS_TYPE_INTERPOLATE ),
residual > 1.0 ? "nearest" : interpolator ) )) )
return( -1 );
if( verbose ) {
printf( "integer shrink by %d\n", shrink );
printf( "residual scale by %g\n", residual );
printf( "%s interpolation\n",
VIPS_OBJECT_GET_CLASS( interp )->nickname );
}
result = shrink_factor( in, out, shrink, residual, interp );
g_object_unref( interp );
return( result );
}
static int
vips_bandary_build( VipsObject *object )
{
VipsObjectClass *object_class = VIPS_OBJECT_GET_CLASS( object );
VipsBandaryClass *class = VIPS_BANDARY_GET_CLASS( object );
VipsConversion *conversion = VIPS_CONVERSION( object );
VipsBandary *bandary = VIPS_BANDARY( object );
int i;
VipsImage **decode;
VipsImage **format;
VipsImage **size;
if( VIPS_OBJECT_CLASS( vips_bandary_parent_class )->build( object ) )
return( -1 );
if( bandary->n <= 0 ) {
vips_error( object_class->nickname,
"%s", _( "no input images" ) );
return( -1 );
}
if( bandary->n > MAX_INPUT_IMAGES ) {
vips_error( object_class->nickname,
"%s", _( "too many input images" ) );
return( -1 );
}
decode = (VipsImage **) vips_object_local_array( object, bandary->n );
format = (VipsImage **) vips_object_local_array( object, bandary->n );
size = (VipsImage **) vips_object_local_array( object, bandary->n );
for( i = 0; i < bandary->n; i++ )
if( vips_image_decode( bandary->in[i], &decode[i] ) )
return( -1 );
if( vips__formatalike_vec( decode, format, bandary->n ) ||
vips__sizealike_vec( format, size, bandary->n ) )
return( -1 );
bandary->ready = size;
if( vips_image_pipeline_array( conversion->out,
VIPS_DEMAND_STYLE_THINSTRIP, bandary->ready ) )
return( -1 );
conversion->out->Bands = bandary->out_bands;
if( class->format_table )
conversion->out->BandFmt =
class->format_table[bandary->ready[0]->BandFmt];
if( vips_image_generate( conversion->out,
vips_start_many, vips_bandary_gen, vips_stop_many,
bandary->ready, bandary ) )
return( -1 );
return( 0 );
}
int
vips_object_build( VipsObject *object )
{
VipsObjectClass *object_class = VIPS_OBJECT_GET_CLASS( object );
#ifdef DEBUG
printf( "vips_object_build: " );
vips_object_print( object );
#endif /*DEBUG*/
return( object_class->build( object ) );
}
static int
vips_similarity_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsSimilarity *similarity = (VipsSimilarity *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 4 );
if( VIPS_OBJECT_CLASS( vips_similarity_parent_class )->build( object ) )
return( -1 );
/* Use vips_reduce(), if we can.
*/
if( similarity->interpolate &&
strcmp( VIPS_OBJECT_GET_CLASS( similarity->interpolate )->
nickname, "bicubic" ) == 0 &&
similarity->angle == 0.0 &&
similarity->idx == 0.0 &&
similarity->idy == 0.0 &&
similarity->odx == 0.0 &&
similarity->ody == 0.0 ) {
if( vips_reduce( resample->in, &t[0],
1.0 / similarity->scale,
1.0 / similarity->scale, NULL ) )
return( -1 );
}
else {
double a = similarity->scale *
cos( VIPS_RAD( similarity->angle ) );
double b = similarity->scale *
-sin( VIPS_RAD( similarity->angle ) );
double c = -b;
double d = a;
if( vips_affine( resample->in, &t[0], a, b, c, d,
"interpolate", similarity->interpolate,
"odx", similarity->odx,
"ody", similarity->ody,
"idx", similarity->idx,
"idy", similarity->idy,
NULL ) )
return( -1 );
}
if( vips_image_write( t[0], resample->out ) )
return( -1 );
return( 0 );
}
// just g_object_set_property(), except we allow set enum from string
static void
set_property( VipsObject *object, const char *name, const GValue *value )
{
VipsObjectClass *object_class = VIPS_OBJECT_GET_CLASS( object );
GType type = G_VALUE_TYPE( value );
GParamSpec *pspec;
VipsArgumentClass *argument_class;
VipsArgumentInstance *argument_instance;
if( vips_object_get_argument( object, name,
&pspec, &argument_class, &argument_instance ) ) {
g_warning( "%s", vips_error_buffer() );
vips_error_clear();
return;
}
if( G_IS_PARAM_SPEC_ENUM( pspec ) &&
type == G_TYPE_STRING ) {
GType pspec_type = G_PARAM_SPEC_VALUE_TYPE( pspec );
int enum_value;
GValue value2 = { 0 };
if( (enum_value = vips_enum_from_nick( object_class->nickname,
pspec_type, g_value_get_string( value ) )) < 0 ) {
g_warning( "%s", vips_error_buffer() );
vips_error_clear();
return;
}
g_value_init( &value2, pspec_type );
g_value_set_enum( &value2, enum_value );
g_object_set_property( G_OBJECT( object ), name, &value2 );
g_value_unset( &value2 );
}
else
g_object_set_property( G_OBJECT( object ), name, value );
}
static VipsImage *
thumbnail_shrink( VipsObject *process, VipsImage *in,
VipsInterpolate *interp, VipsImage *sharpen )
{
VipsImage **t = (VipsImage **) vips_object_local_array( process, 10 );
VipsInterpretation interpretation = linear_processing ?
VIPS_INTERPRETATION_XYZ : VIPS_INTERPRETATION_sRGB;
int shrink;
double residual;
int tile_width;
int tile_height;
int nlines;
/* RAD needs special unpacking.
*/
if( in->Coding == VIPS_CODING_RAD ) {
vips_info( "vipsthumbnail", "unpacking Rad to float" );
/* rad is scrgb.
*/
if( vips_rad2float( in, &t[0], NULL ) )
return( NULL );
in = t[0];
}
/* In linear mode, we import right at the start.
*
* This is only going to work for images in device space. If you have
* an image in PCS which also has an attached profile, strange things
* will happen.
*/
if( linear_processing &&
in->Coding == VIPS_CODING_NONE &&
(in->BandFmt == VIPS_FORMAT_UCHAR ||
in->BandFmt == VIPS_FORMAT_USHORT) &&
(vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ||
import_profile) ) {
if( vips_image_get_typeof( in, VIPS_META_ICC_NAME ) )
vips_info( "vipsthumbnail",
"importing with embedded profile" );
else
vips_info( "vipsthumbnail",
"importing with profile %s", import_profile );
if( vips_icc_import( in, &t[1],
"input_profile", import_profile,
"embedded", TRUE,
"pcs", VIPS_PCS_XYZ,
NULL ) )
return( NULL );
in = t[1];
}
/* To the processing colourspace. This will unpack LABQ as well.
*/
vips_info( "vipsthumbnail", "converting to processing space %s",
vips_enum_nick( VIPS_TYPE_INTERPRETATION, interpretation ) );
if( vips_colourspace( in, &t[2], interpretation, NULL ) )
return( NULL );
in = t[2];
shrink = calculate_shrink( in, &residual );
vips_info( "vipsthumbnail", "integer shrink by %d", shrink );
if( vips_shrink( in, &t[3], shrink, shrink, NULL ) )
return( NULL );
in = t[3];
/* We want to make sure we read the image sequentially.
* However, the convolution we may be doing later will force us
* into SMALLTILE or maybe FATSTRIP mode and that will break
* sequentiality.
*
* So ... read into a cache where tiles are scanlines, and make sure
* we keep enough scanlines to be able to serve a line of tiles.
*
* We use a threaded tilecache to avoid a deadlock: suppose thread1,
* evaluating the top block of the output, is delayed, and thread2,
* evaluating the second block, gets here first (this can happen on
* a heavily-loaded system).
*
* With an unthreaded tilecache (as we had before), thread2 will get
* the cache lock and start evaling the second block of the shrink.
* When it reaches the png reader it will stall until the first block
* has been used ... but it never will, since thread1 will block on
* this cache lock.
*/
vips_get_tile_size( in,
&tile_width, &tile_height, &nlines );
if( vips_tilecache( in, &t[4],
"tile_width", in->Xsize,
"tile_height", 10,
"max_tiles", (nlines * 2) / 10,
"access", VIPS_ACCESS_SEQUENTIAL,
"threaded", TRUE,
NULL ) ||
vips_affine( t[4], &t[5], residual, 0, 0, residual,
"interpolate", interp,
NULL ) )
return( NULL );
in = t[5];
vips_info( "vipsthumbnail", "residual scale by %g", residual );
vips_info( "vipsthumbnail", "%s interpolation",
VIPS_OBJECT_GET_CLASS( interp )->nickname );
/* Colour management.
*
* In linear mode, just export. In device space mode, do a combined
* import/export to transform to the target space.
*/
if( linear_processing ) {
if( export_profile ||
vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ) {
vips_info( "vipsthumbnail",
"exporting to device space with a profile" );
if( vips_icc_export( in, &t[7],
"output_profile", export_profile,
NULL ) )
return( NULL );
in = t[7];
}
else {
vips_info( "vipsthumbnail", "converting to sRGB" );
if( vips_colourspace( in, &t[6],
VIPS_INTERPRETATION_sRGB, NULL ) )
return( NULL );
in = t[6];
}
}
else if( export_profile &&
(vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ||
import_profile) ) {
if( vips_image_get_typeof( in, VIPS_META_ICC_NAME ) )
vips_info( "vipsthumbnail",
"importing with embedded profile" );
else
vips_info( "vipsthumbnail",
"importing with profile %s", import_profile );
vips_info( "vipsthumbnail",
"exporting with profile %s", export_profile );
if( vips_icc_transform( in, &t[6], export_profile,
"input_profile", import_profile,
"embedded", TRUE,
NULL ) )
return( NULL );
in = t[6];
}
/* If we are upsampling, don't sharpen, since nearest looks dumb
* sharpened.
*/
if( shrink >= 1 &&
residual <= 1.0 &&
sharpen ) {
vips_info( "vipsthumbnail", "sharpening thumbnail" );
if( vips_conv( in, &t[8], sharpen, NULL ) )
return( NULL );
in = t[8];
}
if( delete_profile &&
vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ) {
vips_info( "vipsthumbnail",
"deleting profile from output image" );
if( !vips_image_remove( in, VIPS_META_ICC_NAME ) )
return( NULL );
}
return( in );
}
static int
vips_similarity_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsSimilarity *similarity = (VipsSimilarity *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 4 );
gboolean handled;
if( VIPS_OBJECT_CLASS( vips_similarity_parent_class )->build( object ) )
return( -1 );
handled = FALSE;
/* Use vips_reduce(), if we can.
*/
if( similarity->interpolate &&
similarity->angle == 0.0 &&
similarity->idx == 0.0 &&
similarity->idy == 0.0 &&
similarity->odx == 0.0 &&
similarity->ody == 0.0 ) {
const char *nickname = VIPS_OBJECT_GET_CLASS(
similarity->interpolate )->nickname;
int i;
for( i = 0; i < VIPS_NUMBER( vips_similarity_kernel ); i++ ) {
VipsInterpolateKernel *ik = &vips_similarity_kernel[i];
if( strcmp( nickname, ik->nickname ) == 0 ) {
if( vips_reduce( resample->in, &t[0],
1.0 / similarity->scale,
1.0 / similarity->scale,
"kernel", ik->kernel,
NULL ) )
return( -1 );
handled = TRUE;
break;
}
}
}
if( !handled ) {
double a = similarity->scale *
cos( VIPS_RAD( similarity->angle ) );
double b = similarity->scale *
-sin( VIPS_RAD( similarity->angle ) );
double c = -b;
double d = a;
if( vips_affine( resample->in, &t[0], a, b, c, d,
"interpolate", similarity->interpolate,
"odx", similarity->odx,
"ody", similarity->ody,
"idx", similarity->idx,
"idy", similarity->idy,
NULL ) )
return( -1 );
}
if( vips_image_write( t[0], resample->out ) )
return( -1 );
return( 0 );
}
