still trying to get reducevl3 to vectorise
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@ -65,8 +65,12 @@ typedef struct _VipsResampleClass {
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GType vips_resample_get_type( void );
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int vips_reducehl3_get_points( VipsKernel kernel );
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void vips_reducehl3_make_mask( VipsKernel kernel, double x, double *c );
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/* The max size of the vector we use.
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*/
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#define MAX_POINTS (6)
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int vips_reduce_get_points( VipsKernel kernel );
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void vips_reduce_make_mask( VipsKernel kernel, double x, double *c );
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#ifdef __cplusplus
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}
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@ -64,10 +64,6 @@
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* 1D resampling kernels.
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*/
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/* The max size of the vector we use.
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*/
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#define MAX_POINTS (6)
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typedef struct _VipsReducehl3 {
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VipsResample parent_instance;
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@ -101,7 +97,7 @@ G_DEFINE_TYPE( VipsReducehl3, vips_reducehl3, VIPS_TYPE_RESAMPLE );
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/* Get n points.
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*/
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int
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vips_reducehl3_get_points( VipsKernel kernel )
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vips_reduce_get_points( VipsKernel kernel )
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{
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switch( kernel ) {
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case VIPS_KERNEL_NEAREST:
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@ -128,7 +124,7 @@ vips_reducehl3_get_points( VipsKernel kernel )
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/* Calculate a mask.
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*/
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void
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vips_reducehl3_make_mask( VipsKernel kernel, double x, double *c )
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vips_reduce_make_mask( VipsKernel kernel, double x, double *c )
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{
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switch( kernel ) {
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case VIPS_KERNEL_NEAREST:
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@ -136,8 +132,8 @@ vips_reducehl3_make_mask( VipsKernel kernel, double x, double *c )
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break;
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case VIPS_KERNEL_LINEAR:
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c[0] = x;
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c[1] = 1.0 - x;
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c[0] = 1.0 - x;
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c[1] = x;
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break;
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case VIPS_KERNEL_CUBIC:
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@ -192,22 +188,6 @@ reducehl3_unsigned_uint8_4tab( VipsPel *out, const VipsPel *in,
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}
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}
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/* Our inner loop. Operate on elements of size T, gather results in an
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* intermediate of type IT.
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*/
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template <typename T, typename IT>
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static IT
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reducehl3_sum( const T * restrict in, int bands, const IT * restrict c, int n )
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{
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IT sum;
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sum = 0;
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for( int i = 0; i < n; i++ )
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sum += c[i] * in[i * bands];
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return( sum );
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}
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template <typename T, int max_value>
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static void inline
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reducehl3_unsigned_int_tab( VipsReducehl3 *reducehl3,
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@ -216,11 +196,12 @@ reducehl3_unsigned_int_tab( VipsReducehl3 *reducehl3,
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducehl3->n_points;
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for( int z = 0; z < bands; z++ ) {
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int sum;
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sum = reducehl3_sum<T, int>(in, bands, cx, reducehl3->n_points);
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sum = reduce_sum<T, int>( in, bands, cx, n );
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sum = unsigned_fixed_round( sum );
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sum = VIPS_CLIP( 0, sum, max_value );
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@ -238,11 +219,12 @@ reducehl3_signed_int_tab( VipsReducehl3 *reducehl3,
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducehl3->n_points;
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for( int z = 0; z < bands; z++ ) {
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int sum;
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sum = reducehl3_sum<T, int>(in, bands, cx, reducehl3->n_points);
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sum = reduce_sum<T, int>( in, bands, cx, n );
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sum = signed_fixed_round( sum );
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sum = VIPS_CLIP( min_value, sum, max_value );
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@ -262,10 +244,10 @@ reducehl3_float_tab( VipsReducehl3 *reducehl3,
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducehl3->n_points;
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for( int z = 0; z < bands; z++ ) {
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out[z] = reducehl3_sum<T, double>
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(in, bands, cx, reducehl3->n_points);
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out[z] = reduce_sum<T, double>( in, bands, cx, n );
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in += 1;
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}
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}
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@ -281,12 +263,12 @@ reducehl3_unsigned_int32_tab( VipsReducehl3 *reducehl3,
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducehl3->n_points;
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for( int z = 0; z < bands; z++ ) {
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double sum;
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sum = reducehl3_sum<T, double>
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(in, bands, cx, reducehl3->n_points);
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sum = reduce_sum<T, double>( in, bands, cx, n );
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out[z] = VIPS_CLIP( 0, sum, max_value );
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in += 1;
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@ -301,12 +283,12 @@ reducehl3_signed_int32_tab( VipsReducehl3 *reducehl3,
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducehl3->n_points;
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for( int z = 0; z < bands; z++ ) {
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double sum;
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sum = reducehl3_sum<T, double>
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(in, bands, cx, reducehl3->n_points);
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sum = reduce_sum<T, double>( in, bands, cx, n );
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sum = VIPS_CLIP( min_value, sum, max_value );
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out[z] = sum;
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@ -324,14 +306,14 @@ reducehl3_notab( VipsReducehl3 *reducehl3,
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducehl3->n_points;
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double cx[MAX_POINTS];
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vips_reducehl3_make_mask( reducehl3->kernel, x, cx );
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vips_reduce_make_mask( reducehl3->kernel, x, cx );
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for( int z = 0; z < bands; z++ ) {
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out[z] = reducehl3_sum<T, double>
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(in, bands, cx, reducehl3->n_points);
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out[z] = reduce_sum<T, double>( in, bands, cx, n );
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in += 1;
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}
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@ -488,9 +470,9 @@ vips_reducehl3_build( VipsObject *object )
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/* Build the tables of pre-computed coefficients.
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*/
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reducehl3->n_points = vips_reducehl3_get_points( reducehl3->kernel );
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reducehl3->n_points = vips_reduce_get_points( reducehl3->kernel );
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for( int x = 0; x < VIPS_TRANSFORM_SCALE + 1; x++ ) {
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vips_reducehl3_make_mask( reducehl3->kernel,
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vips_reduce_make_mask( reducehl3->kernel,
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(float) x / VIPS_TRANSFORM_SCALE,
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reducehl3->matrixf[x] );
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@ -575,7 +557,7 @@ vips_reducehl3_class_init( VipsReducehl3Class *reducehl3_class )
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VIPS_ARG_ENUM( reducehl3_class, "kernel", 3,
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_( "Kernel" ),
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_( "Resamling kernel" ),
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_( "Resampling kernel" ),
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VIPS_ARGUMENT_OPTIONAL_INPUT,
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G_STRUCT_OFFSET( VipsReducehl3, kernel ),
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VIPS_TYPE_KERNEL, VIPS_KERNEL_CUBIC );
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@ -2,6 +2,8 @@
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*
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* 29/1/16
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* - from shrinkv.c
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* 10/3/16
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* - add other kernels
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*/
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/*
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@ -51,25 +53,34 @@
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#include "presample.h"
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#include "templates.h"
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/* The max size of the vector we use.
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*/
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#define MAX_POINTS (6)
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typedef struct _VipsReducevl3 {
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VipsResample parent_instance;
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double yshrink; /* Shrink factor */
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/* The thing we use to make the kernel.
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*/
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VipsKernel kernel;
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/* Number of points in kernel.
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*/
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int n_points;
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/* Precalculated interpolation matrices. int (used for pel
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* sizes up to short), and double (for all others). We go to
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* scale + 1 so we can round-to-nearest safely.
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*/
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int matrixi[VIPS_TRANSFORM_SCALE + 1][MAX_POINTS];
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double matrixf[VIPS_TRANSFORM_SCALE + 1][MAX_POINTS];
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} VipsReducevl3;
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typedef VipsResampleClass VipsReducevl3Class;
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/* Precalculated interpolation matrices. int (used for pel
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* sizes up to short), and double (for all others). We go to
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* scale + 1 so we can round-to-nearest safely.
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*/
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const int n_points = 6;
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static int vips_reducevl3_matrixi[VIPS_TRANSFORM_SCALE + 1][n_points];
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static double vips_reducevl3_matrixf[VIPS_TRANSFORM_SCALE + 1][n_points];
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/* We need C linkage for this.
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*/
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extern "C" {
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@ -78,29 +89,33 @@ G_DEFINE_TYPE( VipsReducevl3, vips_reducevl3, VIPS_TYPE_RESAMPLE );
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template <typename T, int max_value>
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static void inline
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reducevl3_unsigned_int_tab( VipsPel *pout, const VipsPel *pin,
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reducevl3_unsigned_int_tab( VipsReducevl3 *reducevl3,
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VipsPel *pout, const VipsPel *pin,
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const int ne, const int lskip,
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const int * restrict cy )
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{
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T* restrict out = (T *) pout;
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const T* restrict in = (T *) pin;
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const int n = reducevl3->n_points;
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const int l1 = lskip / sizeof( T );
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const int round_by = VIPS_INTERPOLATE_SCALE >> 1;
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for( int z = 0; z < ne; z++ ) {
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int sum;
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sum = 0;
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for( int i = 0; i < n_points; i++ )
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sum += cy[i] * in[i * l1];
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for( int i = 0; i < n; i++ )
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sum += cy[i] * in[z + i * l1];
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sum = unsigned_fixed_round( sum );
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sum = (sum + round_by) >> VIPS_INTERPOLATE_SHIFT;
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sum = VIPS_CLIP( 0, sum, max_value );
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//sum = reduce_sum<T, int>( in, l1, cy, n );
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//sum = unsigned_fixed_round( sum );
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//sum = VIPS_CLIP( 0, sum, max_value );
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out[z] = sum;
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in += 1;
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//in += 1;
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}
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}
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@ -129,7 +144,7 @@ vips_reducevl3_gen( VipsRegion *out_region, void *seq,
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s.left = r->left;
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s.top = r->top * reducevl3->yshrink;
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s.width = r->width;
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s.height = r->height * reducevl3->yshrink + n_points;
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s.height = r->height * reducevl3->yshrink + reducevl3->n_points;
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if( vips_region_prepare( ir, &s ) )
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return( -1 );
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@ -142,14 +157,15 @@ vips_reducevl3_gen( VipsRegion *out_region, void *seq,
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const int sy = Y * VIPS_TRANSFORM_SCALE * 2;
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const int siy = sy & (VIPS_TRANSFORM_SCALE * 2 - 1);
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const int ty = (siy + 1) >> 1;
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const int *cyi = vips_reducevl3_matrixi[ty];
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const double *cyf = vips_reducevl3_matrixf[ty];
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const int *cyi = reducevl3->matrixi[ty];
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const double *cyf = reducevl3->matrixf[ty];
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const int lskip = VIPS_REGION_LSKIP( ir );
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switch( in->BandFmt ) {
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case VIPS_FORMAT_UCHAR:
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reducevl3_unsigned_int_tab
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<unsigned char, UCHAR_MAX>(
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reducevl3,
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q, p, ne, lskip, cyi );
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break;
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@ -191,6 +207,19 @@ vips_reducevl3_build( VipsObject *object )
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if( reducevl3->yshrink == 1 )
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return( vips_image_write( in, resample->out ) );
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/* Build the tables of pre-computed coefficients.
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*/
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reducevl3->n_points = vips_reduce_get_points( reducevl3->kernel );
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for( int y = 0; y < VIPS_TRANSFORM_SCALE + 1; y++ ) {
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vips_reduce_make_mask( reducevl3->kernel,
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(float) y / VIPS_TRANSFORM_SCALE,
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reducevl3->matrixf[y] );
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for( int i = 0; i < reducevl3->n_points; i++ )
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reducevl3->matrixi[y][i] = reducevl3->matrixf[y][i] *
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VIPS_INTERPOLATE_SCALE;
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}
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/* Unpack for processing.
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*/
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if( vips_image_decode( in, &t[0] ) )
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@ -200,8 +229,8 @@ vips_reducevl3_build( VipsObject *object )
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/* Add new pixels around the input so we can interpolate at the edges.
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*/
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if( vips_embed( in, &t[1],
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0, n_points / 2,
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in->Xsize, in->Ysize + n_points - 1,
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0, reducevl3->n_points / 2,
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in->Xsize, in->Ysize + reducevl3->n_points - 1,
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"extend", VIPS_EXTEND_COPY,
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NULL ) )
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return( -1 );
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@ -217,7 +246,7 @@ vips_reducevl3_build( VipsObject *object )
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* example, vipsthumbnail knows the true reduce factor (including the
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* fractional part), we just see the integer part here.
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*/
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resample->out->Ysize = (in->Ysize - n_points + 1) / reducevl3->yshrink;
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resample->out->Ysize = (in->Ysize - reducevl3->n_points + 1) / reducevl3->yshrink;
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if( resample->out->Ysize <= 0 ) {
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vips_error( object_class->nickname,
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"%s", _( "image has shrunk to nothing" ) );
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@ -264,24 +293,20 @@ vips_reducevl3_class_init( VipsReducevl3Class *reducevl3_class )
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G_STRUCT_OFFSET( VipsReducevl3, yshrink ),
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1, 1000000, 1 );
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/* Build the tables of pre-computed coefficients.
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*/
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for( int y = 0; y < VIPS_TRANSFORM_SCALE + 1; y++ ) {
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calculate_coefficients_lanczos( 3,
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(float) y / VIPS_TRANSFORM_SCALE,
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vips_reducevl3_matrixf[y] );
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VIPS_ARG_ENUM( reducevl3_class, "kernel", 3,
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_( "Kernel" ),
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_( "Resampling kernel" ),
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VIPS_ARGUMENT_OPTIONAL_INPUT,
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G_STRUCT_OFFSET( VipsReducevl3, kernel ),
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VIPS_TYPE_KERNEL, VIPS_KERNEL_CUBIC );
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for( int i = 0; i < n_points; i++ )
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vips_reducevl3_matrixi[y][i] =
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vips_reducevl3_matrixf[y][i] *
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VIPS_INTERPOLATE_SCALE;
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}
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}
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static void
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vips_reducevl3_init( VipsReducevl3 *reducevl3 )
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{
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reducevl3->kernel = VIPS_KERNEL_CUBIC;
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}
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/**
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@ -291,8 +316,12 @@ vips_reducevl3_init( VipsReducevl3 *reducevl3 )
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* @yshrink: horizontal reduce
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* @...: %NULL-terminated list of optional named arguments
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*
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* Optional arguments:
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*
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* @kernel: #VipsKernel to use to interpolate (default: cubic)
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*
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* Reduce @in vertically by a float factor. The pixels in @out are
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* interpolated with a 1D cubic mask. This operation will not work well for
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* interpolated with a 1D mask. This operation will not work well for
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* a reduction of more than a factor of two.
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*
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* This is a very low-level operation: see vips_resize() for a more
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@ -339,3 +339,19 @@ calculate_coefficients_lanczos( int a, const double x, double *c )
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c[i] = l;
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}
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}
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/* Our inner loop for resampling with a convolution. Operate on elements of
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* size T, gather results in an intermediate of type IT.
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*/
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template <typename T, typename IT>
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static IT
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reduce_sum( const T * restrict in, int stride, const IT * restrict c, int n )
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{
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IT sum;
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sum = 0;
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for( int i = 0; i < n; i++ )
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sum += c[i] * in[i * stride];
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return( sum );
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}
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