git.sesse.net Git - movit/blob - test_util.cpp

   1 #include <assert.h>
   2 #include <math.h>
   3 #include <stdio.h>
   4 #include <algorithm>
   5
   6 #include "flat_input.h"
   7 #include "glew.h"
   8 #include "gtest/gtest.h"
   9 #include "gtest/gtest-message.h"
  10 #include "init.h"
  11 #include "resource_pool.h"
  12 #include "test_util.h"
  13 #include "util.h"
  14
  15 using namespace std;
  16
  17 namespace movit {
  18
  19 class Input;
  20
  21 namespace {
  22
  23 // Not thread-safe, but this isn't a big problem for testing.
  24 ResourcePool *get_static_pool()
  25 {
  26         static ResourcePool *resource_pool = NULL;
  27         if (!resource_pool) {
  28                 resource_pool = new ResourcePool();
  29         }
  30         return resource_pool;
  31 }
  32
  33 // Flip upside-down to compensate for different origin.
  34 template<class T>
  35 void vertical_flip(T *data, unsigned width, unsigned height)
  36 {
  37         for (unsigned y = 0; y < height / 2; ++y) {
  38                 unsigned flip_y = height - y - 1;
  39                 for (unsigned x = 0; x < width; ++x) {
  40                         swap(data[y * width + x], data[flip_y * width + x]);
  41                 }
  42         }
  43 }
  44
  45 }  // namespace
  46
  47 EffectChainTester::EffectChainTester(const float *data, unsigned width, unsigned height,
  48                                      MovitPixelFormat pixel_format, Colorspace color_space, GammaCurve gamma_curve,
  49                                      GLenum framebuffer_format)
  50         : chain(width, height, get_static_pool()), width(width), height(height), finalized(false)
  51 {
  52         CHECK(init_movit(".", MOVIT_DEBUG_OFF));
  53
  54         if (data != NULL) {
  55                 add_input(data, pixel_format, color_space, gamma_curve);
  56         }
  57
  58         GLuint type;
  59         if (framebuffer_format == GL_RGBA8) {
  60                 type = GL_UNSIGNED_BYTE;
  61         } else if (framebuffer_format == GL_RGBA16F || framebuffer_format == GL_RGBA32F) {
  62                 type = GL_FLOAT;
  63         } else {
  64                 // Add more here as needed.
  65                 assert(false);
  66         }
  67
  68         glGenTextures(1, &texnum);
  69         check_error();
  70         glBindTexture(GL_TEXTURE_2D, texnum);
  71         check_error();
  72         glTexImage2D(GL_TEXTURE_2D, 0, framebuffer_format, width, height, 0, GL_RGBA, type, NULL);
  73         check_error();
  74
  75         glGenFramebuffers(1, &fbo);
  76         check_error();
  77         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
  78         check_error();
  79         glFramebufferTexture2D(
  80                 GL_FRAMEBUFFER,
  81                 GL_COLOR_ATTACHMENT0,
  82                 GL_TEXTURE_2D,
  83                 texnum,
  84                 0);
  85         check_error();
  86         glBindFramebuffer(GL_FRAMEBUFFER, 0);
  87         check_error();
  88 }
  89
  90 EffectChainTester::~EffectChainTester()
  91 {
  92         glDeleteFramebuffers(1, &fbo);
  93         check_error();
  94         glDeleteTextures(1, &texnum);
  95         check_error();
  96 }
  97
  98 Input *EffectChainTester::add_input(const float *data, MovitPixelFormat pixel_format, Colorspace color_space, GammaCurve gamma_curve, int input_width, int input_height)
  99 {
 100         ImageFormat format;
 101         format.color_space = color_space;
 102         format.gamma_curve = gamma_curve;
 103
 104         if (input_width == -1) {
 105                 input_width = width;
 106         }
 107         if (input_height == -1) {
 108                 input_height = height;
 109         }
 110
 111         FlatInput *input = new FlatInput(format, pixel_format, GL_FLOAT, input_width, input_height);
 112         input->set_pixel_data(data);
 113         chain.add_input(input);
 114         return input;
 115 }
 116
 117 Input *EffectChainTester::add_input(const unsigned char *data, MovitPixelFormat pixel_format, Colorspace color_space, GammaCurve gamma_curve, int input_width, int input_height)
 118 {
 119         ImageFormat format;
 120         format.color_space = color_space;
 121         format.gamma_curve = gamma_curve;
 122
 123         if (input_width == -1) {
 124                 input_width = width;
 125         }
 126         if (input_height == -1) {
 127                 input_height = height;
 128         }
 129
 130         FlatInput *input = new FlatInput(format, pixel_format, GL_UNSIGNED_BYTE, input_width, input_height);
 131         input->set_pixel_data(data);
 132         chain.add_input(input);
 133         return input;
 134 }
 135
 136 void EffectChainTester::run(float *out_data, GLenum format, Colorspace color_space, GammaCurve gamma_curve, OutputAlphaFormat alpha_format)
 137 {
 138         if (!finalized) {
 139                 finalize_chain(color_space, gamma_curve, alpha_format);
 140         }
 141
 142         chain.render_to_fbo(fbo, width, height);
 143
 144         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
 145         glReadPixels(0, 0, width, height, format, GL_FLOAT, out_data);
 146
 147         if (format == GL_RGBA) {
 148                 width *= 4;
 149         }
 150
 151         vertical_flip(out_data, width, height);
 152 }
 153
 154 void EffectChainTester::run(unsigned char *out_data, GLenum format, Colorspace color_space, GammaCurve gamma_curve, OutputAlphaFormat alpha_format)
 155 {
 156         if (!finalized) {
 157                 finalize_chain(color_space, gamma_curve, alpha_format);
 158         }
 159
 160         chain.render_to_fbo(fbo, width, height);
 161
 162         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
 163         glReadPixels(0, 0, width, height, format, GL_UNSIGNED_BYTE, out_data);
 164
 165         if (format == GL_RGBA) {
 166                 width *= 4;
 167         }
 168
 169         vertical_flip(out_data, width, height);
 170 }
 171
 172 void EffectChainTester::finalize_chain(Colorspace color_space, GammaCurve gamma_curve, OutputAlphaFormat alpha_format)
 173 {
 174         assert(!finalized);
 175         ImageFormat image_format;
 176         image_format.color_space = color_space;
 177         image_format.gamma_curve = gamma_curve;
 178         chain.add_output(image_format, alpha_format);
 179         chain.finalize();
 180         finalized = true;
 181 }
 182
 183 void expect_equal(const float *ref, const float *result, unsigned width, unsigned height, float largest_difference_limit, float rms_limit)
 184 {
 185         float largest_difference = -1.0f;
 186         float squared_difference = 0.0f;
 187         int largest_diff_x = -1, largest_diff_y = -1;
 188
 189         for (unsigned y = 0; y < height; ++y) {
 190                 for (unsigned x = 0; x < width; ++x) {
 191                         float diff = ref[y * width + x] - result[y * width + x];
 192                         if (fabs(diff) > largest_difference) {
 193                                 largest_difference = fabs(diff);
 194                                 largest_diff_x = x;
 195                                 largest_diff_y = y;
 196                         }
 197                         squared_difference += diff * diff;
 198                 }
 199         }
 200
 201         EXPECT_LT(largest_difference, largest_difference_limit)
 202                 << "Largest difference is in x=" << largest_diff_x << ", y=" << largest_diff_y << ":\n"
 203                 << "Reference: " << ref[largest_diff_y * width + largest_diff_x] << "\n"
 204                 << "Result:    " << result[largest_diff_y * width + largest_diff_x];
 205
 206         float rms = sqrt(squared_difference) / (width * height);
 207         EXPECT_LT(rms, rms_limit);
 208
 209         if (largest_difference >= largest_difference_limit || rms >= rms_limit) {
 210                 fprintf(stderr, "Dumping matrices for easier debugging, since at least one test failed.\n");
 211
 212                 fprintf(stderr, "Reference:\n");
 213                 for (unsigned y = 0; y < height; ++y) {
 214                         for (unsigned x = 0; x < width; ++x) {
 215                                 fprintf(stderr, "%7.4f ", ref[y * width + x]);
 216                         }
 217                         fprintf(stderr, "\n");
 218                 }
 219
 220                 fprintf(stderr, "\nResult:\n");
 221                 for (unsigned y = 0; y < height; ++y) {
 222                         for (unsigned x = 0; x < width; ++x) {
 223                                 fprintf(stderr, "%7.4f ", result[y * width + x]);
 224                         }
 225                         fprintf(stderr, "\n");
 226                 }
 227         }
 228 }
 229
 230 void expect_equal(const unsigned char *ref, const unsigned char *result, unsigned width, unsigned height, unsigned largest_difference_limit, float rms_limit)
 231 {
 232         assert(width > 0);
 233         assert(height > 0);
 234
 235         float *ref_float = new float[width * height];
 236         float *result_float = new float[width * height];
 237
 238         for (unsigned y = 0; y < height; ++y) {
 239                 for (unsigned x = 0; x < width; ++x) {
 240                         ref_float[y * width + x] = ref[y * width + x];
 241                         result_float[y * width + x] = result[y * width + x];
 242                 }
 243         }
 244
 245         expect_equal(ref_float, result_float, width, height, largest_difference_limit, rms_limit);
 246
 247         delete[] ref_float;
 248         delete[] result_float;
 249 }
 250
 251 void test_accuracy(const float *expected, const float *result, unsigned num_values, double absolute_error_limit, double relative_error_limit, double local_relative_error_limit, double rms_limit)
 252 {
 253         double squared_difference = 0.0;
 254         for (unsigned i = 0; i < num_values; ++i) {
 255                 double absolute_error = fabs(expected[i] - result[i]);
 256                 squared_difference += absolute_error * absolute_error;
 257                 EXPECT_LT(absolute_error, absolute_error_limit);
 258
 259                 if (expected[i] > 0.0) {
 260                         double relative_error = fabs(absolute_error / expected[i]);
 261
 262                         EXPECT_LT(relative_error, relative_error_limit);
 263                 }
 264                 if (i < num_values - 1) {
 265                         double delta = expected[i + 1] - expected[i];
 266                         double local_relative_error = fabs(absolute_error / delta);
 267                         EXPECT_LT(local_relative_error, local_relative_error_limit);
 268                 }
 269         }
 270         double rms = sqrt(squared_difference) / num_values;
 271         EXPECT_LT(rms, rms_limit);
 272 }
 273
 274 }  // namespace movit