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weston/tests/color-shaper-matrix-test.c

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/*
* Copyright 2021 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice (including the
* next paragraph) shall be included in all copies or substantial
* portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
* BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
* ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "config.h"
#include <math.h>
#include <string.h>
#include <linux/limits.h>
#include <lcms2.h>
#include "weston-test-client-helper.h"
#include "weston-test-fixture-compositor.h"
#include "color_util.h"
#include "lcms_util.h"
struct lcms_pipeline {
/**
* Color space name
*/
const char *color_space;
/**
* Chromaticities for output profile
*/
cmsCIExyYTRIPLE prim_output;
/**
* tone curve enum
*/
enum transfer_fn pre_fn;
/**
* Transform matrix from sRGB to target chromaticities in prim_output
*/
struct lcmsMAT3 mat;
/**
* matrix from prim_output to XYZ, for example matrix conversion
* sRGB->XYZ, adobeRGB->XYZ, bt2020->XYZ
*/
struct lcmsMAT3 mat2XYZ;
/**
* tone curve enum
*/
enum transfer_fn post_fn;
};
static const int WINDOW_WIDTH = 256;
static const int WINDOW_HEIGHT = 24;
static cmsCIExyY wp_d65 = { 0.31271, 0.32902, 1.0 };
enum profile_type {
PTYPE_MATRIX_SHAPER,
PTYPE_CLUT,
};
/*
* Using currently destination gamut bigger than source.
* Using https://www.colour-science.org/ we can extract conversion matrix:
* import colour
* colour.matrix_RGB_to_RGB(colour.RGB_COLOURSPACES['sRGB'], colour.RGB_COLOURSPACES['Adobe RGB (1998)'], None)
* colour.matrix_RGB_to_RGB(colour.RGB_COLOURSPACES['sRGB'], colour.RGB_COLOURSPACES['ITU-R BT.2020'], None)
*/
const struct lcms_pipeline pipeline_sRGB = {
.color_space = "sRGB",
.prim_output = {
.Red = { 0.640, 0.330, 1.0 },
.Green = { 0.300, 0.600, 1.0 },
.Blue = { 0.150, 0.060, 1.0 }
},
.pre_fn = TRANSFER_FN_SRGB_EOTF,
.mat = LCMSMAT3(1.0, 0.0, 0.0,
0.0, 1.0, 0.0,
0.0, 0.0, 1.0),
.mat2XYZ = LCMSMAT3(0.436037, 0.385124, 0.143039,
0.222482, 0.716913, 0.060605,
0.013922, 0.097078, 0.713899),
.post_fn = TRANSFER_FN_SRGB_EOTF_INVERSE
};
const struct lcms_pipeline pipeline_adobeRGB = {
.color_space = "adobeRGB",
.prim_output = {
.Red = { 0.640, 0.330, 1.0 },
.Green = { 0.210, 0.710, 1.0 },
.Blue = { 0.150, 0.060, 1.0 }
},
.pre_fn = TRANSFER_FN_SRGB_EOTF,
.mat = LCMSMAT3( 0.715127, 0.284868, 0.000005,
0.000001, 0.999995, 0.000004,
-0.000003, 0.041155, 0.958848),
.mat2XYZ = LCMSMAT3(0.609740, 0.205279, 0.149181,
0.311111, 0.625681, 0.063208,
0.019469, 0.060879, 0.744552),
.post_fn = TRANSFER_FN_ADOBE_RGB_EOTF_INVERSE
};
const struct lcms_pipeline pipeline_BT2020 = {
.color_space = "bt2020",
.prim_output = {
.Red = { 0.708, 0.292, 1.0 },
.Green = { 0.170, 0.797, 1.0 },
.Blue = { 0.131, 0.046, 1.0 }
},
.pre_fn = TRANSFER_FN_SRGB_EOTF,
.mat = LCMSMAT3(0.627402, 0.329292, 0.043306,
0.069095, 0.919544, 0.011360,
0.016394, 0.088028, 0.895578),
/* this is equivalent to BT.1886 with zero black level */
.post_fn = TRANSFER_FN_POWER2_4_EOTF_INVERSE,
};
struct setup_args {
struct fixture_metadata meta;
int ref_image_index;
const struct lcms_pipeline *pipeline;
/**
* 2/255 or 3/255 maximum possible error, where 255 is 8 bit max value
*
* Tolerance depends more on the 1D LUT used for the
* inv EOTF than the tested 3D LUT size:
* 9x9x9, 17x17x17, 33x33x33, 127x127x127
*
* TODO: when we add power-law in the curve enumeration
* in GL-renderer, then we should fix the tolerance
* as the error should reduce a lot.
*/
int tolerance;
/**
* 3DLUT dimension size
*/
int dim_size;
enum profile_type type;
/** Two-norm error limit for cLUT DToB->BToD roundtrip */
float clut_roundtrip_tolerance;
};
static const struct setup_args my_setup_args[] = {
/* name, ref img, pipeline, tolerance, dim, profile type, clut tolerance */
{ { "sRGB->sRGB" }, 0, &pipeline_sRGB, 0, 0, PTYPE_MATRIX_SHAPER },
{ { "sRGB->adobeRGB" }, 1, &pipeline_adobeRGB, 1, 0, PTYPE_MATRIX_SHAPER },
{ { "sRGB->BT2020" }, 2, &pipeline_BT2020, 5, 0, PTYPE_MATRIX_SHAPER },
{ { "sRGB->sRGB" }, 0, &pipeline_sRGB, 0, 17, PTYPE_CLUT, 0.0005 },
{ { "sRGB->adobeRGB" }, 1, &pipeline_adobeRGB, 1, 17, PTYPE_CLUT, 0.0065 },
};
struct image_header {
int width;
int height;
int stride;
int depth;
pixman_format_code_t pix_format;
uint32_t *data;
};
static void
get_image_prop(struct buffer *buf, struct image_header *header)
{
header->width = pixman_image_get_width(buf->image);
header->height = pixman_image_get_height(buf->image);
header->stride = pixman_image_get_stride(buf->image);
header->depth = pixman_image_get_depth(buf->image);
header->pix_format = pixman_image_get_format (buf->image);
header->data = pixman_image_get_data(buf->image);
}
static void
gen_ramp_rgb(const struct image_header *header, int bitwidth, int width_bar)
{
static const int hue[][COLOR_CHAN_NUM] = {
{ 1, 1, 1 }, /* White */
{ 1, 1, 0 }, /* Yellow */
{ 0, 1, 1 }, /* Cyan */
{ 0, 1, 0 }, /* Green */
{ 1, 0, 1 }, /* Magenta */
{ 1, 0, 0 }, /* Red */
{ 0, 0, 1 }, /* Blue */
};
const int num_hues = ARRAY_LENGTH(hue);
float val_max;
int x, y;
int hue_index;
int chan;
float value;
unsigned char r, g, b;
uint32_t *pixel;
float n_steps = width_bar - 1;
val_max = (1 << bitwidth) - 1;
for (y = 0; y < header->height; y++) {
hue_index = (y * num_hues) / (header->height - 1);
hue_index = MIN(hue_index, num_hues - 1);
for (x = 0; x < header->width; x++) {
struct color_float rgb = { .rgb = { 0, 0, 0 } };
value = (float)x / (float)(header->width - 1);
if (width_bar > 1)
value = floor(value * n_steps) / n_steps;
for (chan = 0; chan < COLOR_CHAN_NUM; chan++) {
if (hue[hue_index][chan])
rgb.rgb[chan] = value;
}
sRGB_delinearize(&rgb);
r = round(rgb.r * val_max);
g = round(rgb.g * val_max);
b = round(rgb.b * val_max);
pixel = header->data + (y * header->stride / 4) + x;
*pixel = (255U << 24) | (r << 16) | (g << 8) | b;
}
}
}
static void
test_roundtrip(uint8_t r, uint8_t g, uint8_t b, cmsPipeline *pip,
struct rgb_diff_stat *stat)
{
struct color_float in = { .rgb = { r / 255.0, g / 255.0, b / 255.0 } };
struct color_float out = {};
cmsPipelineEvalFloat(in.rgb, out.rgb, pip);
rgb_diff_stat_update(stat, &in, &out);
}
/*
* Roundtrip verification tests that converting device -> PCS -> device
* results in the original color values close enough.
*
* This ensures that the two pipelines are probably built correctly, and we
* do not have problems with unexpected value clamping or with representing
* (inverse) EOTF curves.
*/
static void
roundtrip_verification(cmsPipeline *DToB, cmsPipeline *BToD, float tolerance)
{
const char *const chan_name[COLOR_CHAN_NUM] = { "r", "g", "b" };
unsigned i;
unsigned r, g, b;
struct rgb_diff_stat stat = {};
cmsPipeline *pip;
pip = cmsPipelineDup(DToB);
cmsPipelineCat(pip, BToD);
/*
* Inverse-EOTF is known to have precision problems near zero, so
* sample near zero densely, the rest can be more sparse to run faster.
*/
for (r = 0; r < 256; r += (r < 15) ? 1 : 8) {
for (g = 0; g < 256; g += (g < 15) ? 1 : 8) {
for (b = 0; b < 256; b += (b < 15) ? 1 : 8)
test_roundtrip(r, g, b, pip, &stat);
}
}
cmsPipelineFree(pip);
testlog("DToB->BToD roundtrip error statistics (%u samples):\n",
stat.two_norm.count);
for (i = 0; i < COLOR_CHAN_NUM; i++) {
testlog(" ch %s error:\n", chan_name[i]);
scalar_stat_print_rgb8bit(&stat.rgb[i]);
}
testlog(" Two-norm error:\n");
scalar_stat_print_rgb8bit(&stat.two_norm);
assert(stat.two_norm.max < tolerance);
}
static cmsInt32Number
sampler_matrix(const float src[], float dst[], void *cargo)
{
const struct lcmsMAT3 *mat = cargo;
struct color_float in = { .r = src[0], .g = src[1], .b = src[2] };
struct color_float cf;
unsigned i;
cf = color_float_apply_matrix(mat, in);
for (i = 0; i < COLOR_CHAN_NUM; i++)
dst[i] = cf.rgb[i];
return 1;
}
static cmsStage *
create_cLUT_from_matrix(cmsContext context_id, const struct lcmsMAT3 *mat, int dim_size)
{
cmsStage *cLUT_stage;
cLUT_stage = cmsStageAllocCLutFloat(context_id, dim_size, 3, 3, NULL);
cmsStageSampleCLutFloat(cLUT_stage, sampler_matrix, (void *)mat, 0);
return cLUT_stage;
}
/*
* Originally the cLUT profile test attempted to use the AToB/BToA tags. Those
* come with serious limitations though: at most uint16 representation for
* values in a LUT which means LUT entry precision is limited and range is
* [0.0, 1.0]. This poses difficulties such as:
* - for AToB, the resulting PCS XYZ values may need to be > 1.0
* - for BToA, it is easy to fall outside of device color volume meaning that
* out-of-range values are needed in the 3D LUT
* Working around these could require offsetting and scaling of values
* before and after the 3D LUT, and even that may not always be possible.
*
* DToB/BToD tags do not have most of these problems, because there pipelines
* use float32 representation throughout. We have much more precision, and
* we can mostly use negative and greater than 1.0 values. LUT elements
* still clamp their input to [0.0, 1.0] before applying the LUT. This type of
* pipeline is called multiProcessElement (MPE).
*
* MPE also allows us to represent curves in a few analytical forms. These are
* just enough to represent the EOTF curves we have and their inverses, but
* they do not allow encoding extended EOTF curves or their inverses
* (defined for all real numbers by extrapolation, and mirroring for negative
* inputs). Using MPE curves we avoid the precision problems that arise from
* attempting to represent an inverse-EOTF as a LUT. For the precision issue,
* see: https://gitlab.freedesktop.org/pq/color-and-hdr/-/merge_requests/9
*
* MPE is not a complete remedy, because 3D LUT inputs are still always clamped
* to [0.0, 1.0]. Therefore a 3D LUT cannot represent the inverse of a matrix
* that can produce negative or greater than 1.0 values without further tricks
* (scaling and offsetting) in the pipeline. Rather than implementing that
* complication, we decided to just not test with such matrices. Therefore
* BT.2020 color space is not used in the cLUT test. AdobeRGB is enough.
*/
static cmsHPROFILE
build_lcms_clut_profile_output(cmsContext context_id,
const struct setup_args *arg)
{
enum transfer_fn inv_eotf_fn = arg->pipeline->post_fn;
enum transfer_fn eotf_fn = transfer_fn_invert(inv_eotf_fn);
cmsHPROFILE hRGB;
cmsPipeline *DToB0, *BToD0;
cmsStage *stage;
cmsStage *stage_inv_eotf;
cmsStage *stage_eotf;
struct lcmsMAT3 mat2XYZ_inv;
lcmsMAT3_invert(&mat2XYZ_inv, &arg->pipeline->mat2XYZ);
hRGB = cmsCreateProfilePlaceholder(context_id);
cmsSetProfileVersion(hRGB, 4.3);
cmsSetDeviceClass(hRGB, cmsSigDisplayClass);
cmsSetColorSpace(hRGB, cmsSigRgbData);
cmsSetPCS(hRGB, cmsSigXYZData);
SetTextTags(hRGB, L"cLut profile");
stage_eotf = build_MPE_curve_stage(context_id, eotf_fn);
stage_inv_eotf = build_MPE_curve_stage(context_id, inv_eotf_fn);
/*
* Pipeline from PCS (optical) to device (electrical)
*/
BToD0 = cmsPipelineAlloc(context_id, 3, 3);
stage = create_cLUT_from_matrix(context_id, &mat2XYZ_inv, arg->dim_size);
cmsPipelineInsertStage(BToD0, cmsAT_END, stage);
cmsPipelineInsertStage(BToD0, cmsAT_END, cmsStageDup(stage_inv_eotf));
cmsWriteTag(hRGB, cmsSigBToD0Tag, BToD0);
cmsLinkTag(hRGB, cmsSigBToD1Tag, cmsSigBToD0Tag);
cmsLinkTag(hRGB, cmsSigBToD2Tag, cmsSigBToD0Tag);
cmsLinkTag(hRGB, cmsSigBToD3Tag, cmsSigBToD0Tag);
/*
* Pipeline from device (electrical) to PCS (optical)
*/
DToB0 = cmsPipelineAlloc(context_id, 3, 3);
cmsPipelineInsertStage(DToB0, cmsAT_END, cmsStageDup(stage_eotf));
stage = create_cLUT_from_matrix(context_id, &arg->pipeline->mat2XYZ, arg->dim_size);
cmsPipelineInsertStage(DToB0, cmsAT_END, stage);
cmsWriteTag(hRGB, cmsSigDToB0Tag, DToB0);
cmsLinkTag(hRGB, cmsSigDToB1Tag, cmsSigDToB0Tag);
cmsLinkTag(hRGB, cmsSigDToB2Tag, cmsSigDToB0Tag);
cmsLinkTag(hRGB, cmsSigDToB3Tag, cmsSigDToB0Tag);
roundtrip_verification(DToB0, BToD0, arg->clut_roundtrip_tolerance);
cmsPipelineFree(BToD0);
cmsPipelineFree(DToB0);
cmsStageFree(stage_eotf);
cmsStageFree(stage_inv_eotf);
return hRGB;
}
static cmsHPROFILE
build_lcms_matrix_shaper_profile_output(cmsContext context_id,
const struct lcms_pipeline *pipeline)
{
cmsToneCurve *arr_curves[3];
cmsHPROFILE hRGB;
int type_inverse_tone_curve;
double inverse_tone_curve_param[5];
assert(find_tone_curve_type(pipeline->post_fn, &type_inverse_tone_curve,
inverse_tone_curve_param));
/*
* We are creating output profile and therefore we can use the following:
* calling semantics:
* cmsBuildParametricToneCurve(type_inverse_tone_curve, inverse_tone_curve_param)
* The function find_tone_curve_type sets the type of curve positive if it
* is tone curve and negative if it is inverse. When we create an ICC
* profile we should use a tone curve, the inversion is done by LCMS
* when the profile is used for output.
*/
arr_curves[0] = arr_curves[1] = arr_curves[2] =
cmsBuildParametricToneCurve(context_id,
(-1) * type_inverse_tone_curve,
inverse_tone_curve_param);
assert(arr_curves[0]);
hRGB = cmsCreateRGBProfileTHR(context_id, &wp_d65,
&pipeline->prim_output, arr_curves);
assert(hRGB);
cmsFreeToneCurve(arr_curves[0]);
return hRGB;
}
static cmsHPROFILE
build_lcms_profile_output(cmsContext context_id, const struct setup_args *arg)
{
switch (arg->type) {
case PTYPE_MATRIX_SHAPER:
return build_lcms_matrix_shaper_profile_output(context_id,
arg->pipeline);
case PTYPE_CLUT:
return build_lcms_clut_profile_output(context_id, arg);
}
return NULL;
}
static char *
build_output_icc_profile(const struct setup_args *arg)
{
char *profile_name = NULL;
cmsHPROFILE profile = NULL;
char *wd;
int ret;
bool saved;
wd = realpath(".", NULL);
assert(wd);
if (arg->type == PTYPE_MATRIX_SHAPER)
ret = asprintf(&profile_name, "%s/matrix-shaper-test-%s.icm", wd,
arg->pipeline->color_space);
else
ret = asprintf(&profile_name, "%s/cLUT-test-%s.icm", wd,
arg->pipeline->color_space);
assert(ret > 0);
profile = build_lcms_profile_output(NULL, arg);
assert(profile);
saved = cmsSaveProfileToFile(profile, profile_name);
assert(saved);
cmsCloseProfile(profile);
free(wd);
return profile_name;
}
static void
test_lcms_error_logger(cmsContext context_id,
cmsUInt32Number error_code,
const char *text)
{
testlog("LittleCMS error: %s\n", text);
}
static enum test_result_code
fixture_setup(struct weston_test_harness *harness, const struct setup_args *arg)
{
struct compositor_setup setup;
char *file_name;
cmsSetLogErrorHandler(test_lcms_error_logger);
compositor_setup_defaults(&setup);
setup.renderer = RENDERER_GL;
setup.backend = WESTON_BACKEND_HEADLESS;
setup.width = WINDOW_WIDTH;
setup.height = WINDOW_HEIGHT;
setup.shell = SHELL_TEST_DESKTOP;
file_name = build_output_icc_profile(arg);
if (!file_name)
return RESULT_HARD_ERROR;
weston_ini_setup(&setup,
cfgln("[core]"),
cfgln("color-management=true"),
cfgln("[output]"),
cfgln("name=headless"),
cfgln("icc_profile=%s", file_name));
free(file_name);
return weston_test_harness_execute_as_client(harness, &setup);
}
DECLARE_FIXTURE_SETUP_WITH_ARG(fixture_setup, my_setup_args, meta);
static bool
compare_float(float ref, float dst, int x, const char *chan,
float *max_diff, float max_allow_diff)
{
#if 0
/*
* This file can be loaded in Octave for visualization.
*
* S = load('compare_float_dump.txt');
*
* rvec = S(S(:,1)==114, 2:3);
* gvec = S(S(:,1)==103, 2:3);
* bvec = S(S(:,1)==98, 2:3);
*
* figure
* subplot(3, 1, 1);
* plot(rvec(:,1), rvec(:,2) .* 255, 'r');
* subplot(3, 1, 2);
* plot(gvec(:,1), gvec(:,2) .* 255, 'g');
* subplot(3, 1, 3);
* plot(bvec(:,1), bvec(:,2) .* 255, 'b');
*/
static FILE *fp = NULL;
if (!fp)
fp = fopen("compare_float_dump.txt", "w");
fprintf(fp, "%d %d %f\n", chan[0], x, dst - ref);
fflush(fp);
#endif
float diff = fabsf(ref - dst);
if (diff > *max_diff)
*max_diff = diff;
if (diff <= max_allow_diff)
return true;
testlog("x=%d %s: ref %f != dst %f, delta %f\n",
x, chan, ref, dst, dst - ref);
return false;
}
static bool
process_pipeline_comparison(const struct image_header *src,
const struct image_header *shot,
const struct setup_args * arg)
{
const char *const chan_name[COLOR_CHAN_NUM] = { "r", "g", "b" };
const float max_pixel_value = 255.0;
struct color_float max_diff_pipeline = { .rgb = { 0.0f, 0.0f, 0.0f } };
float max_allow_diff = arg->tolerance / max_pixel_value;
float max_err = 0.0f;
bool ok = true;
uint32_t *row_ptr, *row_ptr_shot;
int y, x;
int chan;
struct color_float pix_src;
struct color_float pix_src_pipeline;
struct color_float pix_shot;
for (y = 0; y < src->height; y++) {
row_ptr = (uint32_t*)((uint8_t*)src->data + (src->stride * y));
row_ptr_shot = (uint32_t*)((uint8_t*)shot->data + (shot->stride * y));
for (x = 0; x < src->width; x++) {
pix_src = a8r8g8b8_to_float(row_ptr[x]);
pix_shot = a8r8g8b8_to_float(row_ptr_shot[x]);
/* do pipeline processing */
process_pixel_using_pipeline(arg->pipeline->pre_fn,
&arg->pipeline->mat,
arg->pipeline->post_fn,
&pix_src, &pix_src_pipeline);
/* check if pipeline matches to shader variant */
for (chan = 0; chan < COLOR_CHAN_NUM; chan++) {
ok &= compare_float(pix_src_pipeline.rgb[chan],
pix_shot.rgb[chan],
x, chan_name[chan],
&max_diff_pipeline.rgb[chan],
max_allow_diff);
}
}
}
for (chan = 0; chan < COLOR_CHAN_NUM; chan++)
max_err = MAX(max_err, max_diff_pipeline.rgb[chan]);
testlog("%s %s %s tol_req %d, tol_cal %f, max diff: r=%f, g=%f, b=%f %s\n",
__func__, ok == true? "SUCCESS":"FAILURE",
arg->meta.name, arg->tolerance,
max_err * max_pixel_value,
max_diff_pipeline.r, max_diff_pipeline.g, max_diff_pipeline.b,
arg->type == PTYPE_MATRIX_SHAPER ? "matrix-shaper" : "cLUT");
return ok;
}
static bool
check_process_pattern_ex(struct buffer *src, struct buffer *shot,
const struct setup_args * arg)
{
struct image_header header_src;
struct image_header header_shot;
bool ok;
get_image_prop(src, &header_src);
get_image_prop(shot, &header_shot);
/* no point to compare different images */
assert(header_src.width == header_shot.width);
assert(header_src.height == header_shot.height);
ok = process_pipeline_comparison(&header_src, &header_shot, arg);
return ok;
}
/*
* Test that matrix-shaper profile does CM correctly, it is used color ramp pattern
*/
TEST(shaper_matrix_and_cLUT)
{
int seq_no = get_test_fixture_index();
const struct setup_args *arg = &my_setup_args[seq_no];
const int width = WINDOW_WIDTH;
const int height = WINDOW_HEIGHT;
const int bitwidth = 8;
const int width_bar = 32;
struct client *client;
struct buffer *buf;
struct buffer *shot;
struct wl_surface *surface;
struct image_header image;
bool match;
client = create_client_and_test_surface(0, 0, width, height);
assert(client);
surface = client->surface->wl_surface;
buf = create_shm_buffer_a8r8g8b8(client, width, height);
get_image_prop(buf, &image);
gen_ramp_rgb(&image, bitwidth, width_bar);
wl_surface_attach(surface, buf->proxy, 0, 0);
wl_surface_damage(surface, 0, 0, width, height);
wl_surface_commit(surface);
shot = capture_screenshot_of_output(client);
assert(shot);
match = verify_image(shot, "shaper_matrix", arg->ref_image_index,
NULL, seq_no);
assert(check_process_pattern_ex(buf, shot, arg));
assert(match);
buffer_destroy(shot);
buffer_destroy(buf);
client_destroy(client);
}