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,
  11                                      MovitPixelFormat pixel_format, Colorspace color_space, GammaCurve gamma_curve)
  12         : chain(width, height), width(width), height(height)
  13 {
  14         if (data != NULL) {
  15                 add_input(data, pixel_format, color_space, gamma_curve);
  16         }
  17
  18         glGenTextures(1, &texnum);
  19         check_error();
  20         glBindTexture(GL_TEXTURE_2D, texnum);
  21         check_error();
  22         glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA16F_ARB, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
  23         check_error();
  24
  25         glGenFramebuffers(1, &fbo);
  26         check_error();
  27         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
  28         check_error();
  29         glFramebufferTexture2D(
  30                 GL_FRAMEBUFFER,
  31                 GL_COLOR_ATTACHMENT0,
  32                 GL_TEXTURE_2D,
  33                 texnum,
  34                 0);
  35         check_error();
  36         glBindFramebuffer(GL_FRAMEBUFFER, 0);
  37         check_error();
  38 }
  39
  40 EffectChainTester::~EffectChainTester()
  41 {
  42         glDeleteFramebuffers(1, &fbo);
  43         check_error();
  44         glDeleteTextures(1, &texnum);
  45         check_error();
  46 }
  47
  48 Input *EffectChainTester::add_input(const float *data, MovitPixelFormat pixel_format, Colorspace color_space, GammaCurve gamma_curve)
  49 {
  50         ImageFormat format;
  51         format.color_space = color_space;
  52         format.gamma_curve = gamma_curve;
  53
  54         FlatInput *input = new FlatInput(format, pixel_format, GL_FLOAT, width, height);
  55         input->set_pixel_data(data);
  56         chain.add_input(input);
  57         return input;
  58 }
  59
  60 Input *EffectChainTester::add_input(const unsigned char *data, MovitPixelFormat pixel_format, Colorspace color_space, GammaCurve gamma_curve)
  61 {
  62         ImageFormat format;
  63         format.color_space = color_space;
  64         format.gamma_curve = gamma_curve;
  65
  66         FlatInput *input = new FlatInput(format, pixel_format, GL_UNSIGNED_BYTE, width, height);
  67         input->set_pixel_data(data);
  68         chain.add_input(input);
  69         return input;
  70 }
  71
  72 void EffectChainTester::run(float *out_data, GLenum format, Colorspace color_space, GammaCurve gamma_curve)
  73 {
  74         ImageFormat image_format;
  75         image_format.color_space = color_space;
  76         image_format.gamma_curve = gamma_curve;
  77         chain.add_output(image_format);
  78         chain.finalize();
  79
  80         chain.render_to_fbo(fbo, width, height);
  81
  82         glBindFramebuffer(GL_FRAMEBUFFER, fbo);
  83         glReadPixels(0, 0, width, height, format, GL_FLOAT, out_data);
  84
  85         if (format == GL_RGBA) {
  86                 width *= 4;
  87         }
  88
  89         // Flip upside-down to compensate for different origin.
  90         for (unsigned y = 0; y < height / 2; ++y) {
  91                 unsigned flip_y = height - y - 1;
  92                 for (unsigned x = 0; x < width; ++x) {
  93                         std::swap(out_data[y * width + x], out_data[flip_y * width + x]);
  94                 }
  95         }
  96 }
  97
  98 void expect_equal(const float *ref, const float *result, unsigned width, unsigned height, float largest_difference_limit, float rms_limit)
  99 {
 100         float largest_difference = -1.0f;
 101         float squared_difference = 0.0f;
 102         int largest_diff_x = -1, largest_diff_y = -1;
 103
 104         for (unsigned y = 0; y < height; ++y) {
 105                 for (unsigned x = 0; x < width; ++x) {
 106                         float diff = ref[y * width + x] - result[y * width + x];
 107                         if (fabs(diff) > largest_difference) {
 108                                 largest_difference = fabs(diff);
 109                                 largest_diff_x = x;
 110                                 largest_diff_y = y;
 111                         }
 112                         squared_difference += diff * diff;
 113                 }
 114         }
 115
 116         EXPECT_LT(largest_difference, largest_difference_limit)
 117                 << "Largest difference is in x=" << largest_diff_x << ", y=" << largest_diff_y << ":\n"
 118                 << "Reference: " << ref[largest_diff_y * width + largest_diff_x] << "\n"
 119                 << "Result:    " << result[largest_diff_y * width + largest_diff_x];
 120
 121         float rms = sqrt(squared_difference) / (width * height);
 122         EXPECT_LT(rms, rms_limit);
 123
 124         if (largest_difference >= largest_difference_limit || rms >= rms_limit) {
 125                 fprintf(stderr, "Dumping matrices for easier debugging, since at least one test failed.\n");
 126
 127                 fprintf(stderr, "Reference:\n");
 128                 for (unsigned y = 0; y < height; ++y) {
 129                         for (unsigned x = 0; x < width; ++x) {
 130                                 fprintf(stderr, "%7.4f ", ref[y * width + x]);
 131                         }
 132                         fprintf(stderr, "\n");
 133                 }
 134
 135                 fprintf(stderr, "\nResult:\n");
 136                 for (unsigned y = 0; y < height; ++y) {
 137                         for (unsigned x = 0; x < width; ++x) {
 138                                 fprintf(stderr, "%7.4f ", result[y * width + x]);
 139                         }
 140                         fprintf(stderr, "\n");
 141                 }
 142         }
 143 }