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

   1 #include "test_util.h"
   2 #include "flat_input.h"
   3 #include "gtest/gtest.h"
   4
   5 #include <stdio.h>
   6 #include <math.h>
   7
   8 #include <algorithm>
   9
  10 EffectChainTester::EffectChainTester(const float *data, unsigned width, unsigned height, MovitPixelFormat pixel_format, ColorSpace color_space, GammaCurve gamma_curve)
  11         : chain(width, height), width(width), height(height)
  12 {
  13         add_input(data, pixel_format, color_space, gamma_curve);
  14
  15         glGenTextures(1, &texnum);
  16         check_error();
  17         glBindTexture(GL_TEXTURE_2D, texnum);
  18         check_error();
  19         glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA16F_ARB, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
  20         check_error();
  21
  22         glGenFramebuffers(1, &fbo);
  23         check_error();
  24         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
  25         check_error();
  26         glFramebufferTexture2D(
  27                 GL_FRAMEBUFFER,
  28                 GL_COLOR_ATTACHMENT0,
  29                 GL_TEXTURE_2D,
  30                 texnum,
  31                 0);
  32         check_error();
  33         glBindFramebuffer(GL_FRAMEBUFFER, 0);
  34         check_error();
  35 }
  36
  37 EffectChainTester::~EffectChainTester()
  38 {
  39         glDeleteFramebuffers(1, &fbo);
  40         check_error();
  41         glDeleteTextures(1, &texnum);
  42         check_error();
  43 }
  44
  45 Input *EffectChainTester::add_input(const float *data, MovitPixelFormat pixel_format, ColorSpace color_space, GammaCurve gamma_curve)
  46 {
  47         ImageFormat format;
  48         format.color_space = color_space;
  49         format.gamma_curve = gamma_curve;
  50
  51         FlatInput *input = new FlatInput(format, pixel_format, GL_FLOAT, width, height);
  52         input->set_pixel_data(data);
  53         chain.add_input(input);
  54         return input;
  55 }
  56
  57 void EffectChainTester::run(float *out_data, GLenum format, ColorSpace color_space, GammaCurve gamma_curve)
  58 {
  59         ImageFormat image_format;
  60         image_format.color_space = color_space;
  61         image_format.gamma_curve = gamma_curve;
  62         chain.add_output(image_format);
  63         chain.finalize();
  64
  65         chain.render_to_fbo(fbo, width, height);
  66
  67         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
  68         glReadPixels(0, 0, width, height, format, GL_FLOAT, out_data);
  69
  70         // Flip upside-down to compensate for different origin.
  71         for (unsigned y = 0; y < height / 2; ++y) {
  72                 unsigned flip_y = height - y - 1;
  73                 for (unsigned x = 0; x < width; ++x) {
  74                         std::swap(out_data[y * width + x], out_data[flip_y * width + x]);
  75                 }
  76         }
  77 }
  78
  79 void expect_equal(const float *ref, const float *result, unsigned width, unsigned height, float largest_difference_limit, float rms_limit)
  80 {
  81         float largest_difference = -1.0f;
  82         float squared_difference = 0.0f;
  83         int largest_diff_x = -1, largest_diff_y = -1;
  84
  85         for (unsigned y = 0; y < height; ++y) {
  86                 for (unsigned x = 0; x < width; ++x) {
  87                         float diff = ref[y * width + x] - result[y * width + x];
  88                         if (fabs(diff) > largest_difference) {
  89                                 largest_difference = fabs(diff);
  90                                 largest_diff_x = x;
  91                                 largest_diff_y = y;
  92                         }
  93                         squared_difference += diff * diff;
  94                 }
  95         }
  96
  97         EXPECT_LT(largest_difference, largest_difference_limit)
  98                 << "Largest difference is in x=" << largest_diff_x << ", y=" << largest_diff_y << ":\n"
  99                 << "Reference: " << ref[largest_diff_y * width + largest_diff_x] << "\n"
 100                 << "Result:    " << result[largest_diff_y * width + largest_diff_x];
 101
 102         float rms = sqrt(squared_difference) / (width * height);
 103         EXPECT_LT(rms, rms_limit);
 104
 105         if (largest_difference >= largest_difference_limit || rms >= rms_limit) {
 106                 fprintf(stderr, "Dumping matrices for easier debugging, since at least one test failed.\n");
 107
 108                 fprintf(stderr, "Reference:\n");
 109                 for (unsigned y = 0; y < height; ++y) {
 110                         for (unsigned x = 0; x < width; ++x) {
 111                                 fprintf(stderr, "%7.4f ", ref[y * width + x]);
 112                         }
 113                         fprintf(stderr, "\n");
 114                 }
 115
 116                 fprintf(stderr, "\nResult:\n");
 117                 for (unsigned y = 0; y < height; ++y) {
 118                         for (unsigned x = 0; x < width; ++x) {
 119                                 fprintf(stderr, "%7.4f ", result[y * width + x]);
 120                         }
 121                         fprintf(stderr, "\n");
 122                 }
 123         }
 124 }