libvmaf-sys 0.4.4

Library bindings for Netflix's VMAF
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177

/**
 *
 *  Copyright 2016-2020 Netflix, Inc.
 *
 *     Licensed under the BSD+Patent License (the "License");
 *     you may not use this file except in compliance with the License.
 *     You may obtain a copy of the License at
 *
 *         https://opensource.org/licenses/BSDplusPatent
 *
 *     Unless required by applicable law or agreed to in writing, software
 *     distributed under the License is distributed on an "AS IS" BASIS,
 *     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *     See the License for the specific language governing permissions and
 *     limitations under the License.
 *
 */

#include <stdint.h>

#include "test.h"
#include "predict.h"
#include "predict.c"

#include <libvmaf/model.h>
#include <math.h>

static char *test_predict_score_at_index()
{
    int err;

    VmafFeatureCollector *feature_collector;
    err = vmaf_feature_collector_init(&feature_collector);
    mu_assert("problem during vmaf_feature_collector_init", !err);

    VmafModel *model;
    VmafModelConfig cfg = {
        .name = "vmaf",
        .flags = VMAF_MODEL_FLAGS_DEFAULT,
    };
    err = vmaf_model_load(&model, &cfg, "vmaf_v0.6.1");
    mu_assert("problem during vmaf_model_load", !err);

    for (unsigned i = 0; i < model->n_features; i++) {
        err = vmaf_feature_collector_append(feature_collector,
                                            model->feature[i].name, 60., 0);
        mu_assert("problem during vmaf_feature_collector_append", !err);
    }

    double vmaf_score = 0.;
    err = vmaf_predict_score_at_index(model, feature_collector, 0, &vmaf_score,
                                      true, 0);
    mu_assert("problem during vmaf_predict_score_at_index", !err);

    vmaf_model_destroy(model);
    vmaf_feature_collector_destroy(feature_collector);
    return NULL;
}

static char *test_find_linear_function_parameters()
{
    int err;

    double a, b;

    VmafPoint p1 = { .x = 1, .y = 1 }, p2 = { .x = 0, .y = 0 };
    err = find_linear_function_parameters(p1, p2, &a, &b);
    mu_assert("first_point coordinates need to be smaller or equal to second_point coordinates", err);

    VmafPoint p3 = { .x = 0, .y = 1 }, p4 = { .x = 0, .y = 0 };
    err = find_linear_function_parameters(p3, p4, &a, &b);
    mu_assert("first_point coordinates need to be smaller or equal to second_point coordinates", err);

    VmafPoint p5 = { .x = 1, .y = 0 }, p6 = { .x = 0, .y = 0 };
    err = find_linear_function_parameters(p5, p6, &a, &b);
    mu_assert("first_point coordinates need to be smaller or equal to second_point coordinates", err);

    VmafPoint p7 = { .x = 50, .y = 30 }, p8 = { .x = 50, .y = 100 };
    err = find_linear_function_parameters(p7, p8, &a, &b);
    mu_assert("first_point and second_point cannot lie on a horizontal or vertical line", err);

    VmafPoint p9 = { .x = 50, .y = 30 }, p10 = { .x = 100, .y = 30 };
    err = find_linear_function_parameters(p9, p10, &a, &b);
    mu_assert("first_point and second_point cannot lie on a horizontal or vertical line", err);

    VmafPoint p11 = { .x = 50, .y = 20 }, p12 = { .x = 110, .y = 110 };
    err = find_linear_function_parameters(p11, p12, &a, &b);
    mu_assert("error code should be 0", !err);
    mu_assert("returned a does not match", a == 1.5);
    mu_assert("returned b does not match", b == -55.0);

    VmafPoint p13 = { .x = 50, .y = 30 }, p14 = { .x = 110, .y = 110 };
    err = find_linear_function_parameters(p13, p14, &a, &b);
    mu_assert("error code should be 0", !err);
    mu_assert("returned a does not match", fabs(a - 1.333333333333333) < 1e-8);
    mu_assert("returned b does not match", fabs(b - (-36.666666666666664)) < 1e-8);

    VmafPoint p15 = { .x = 50, .y = 30 }, p16 = { .x = 50, .y = 30 };
    err = find_linear_function_parameters(p15, p16, &a, &b);
    mu_assert("error code should be 0", !err);
    mu_assert("returned a does not match", a == 1.0);
    mu_assert("returned b does not match", b == 0.0);

    VmafPoint p17 = { .x = 10, .y = 10 }, p18 = { .x = 50, .y = 110 };
    err = find_linear_function_parameters(p17, p18, &a, &b);
    mu_assert("error code should be 0", !err);
    mu_assert("returned a does not match", a == 2.5);
    mu_assert("returned b does not match", b == -15.0);

    return NULL;
}

static char *test_piecewise_linear_mapping()
{
    int err;

    double y, y0, y1, y0_true, y1_true;

    VmafPoint knots1[] = {{ .x = 0, .y = 1 }, { .x = 1, .y = 2 }, { .x = 1, .y = 3 }};
    err = piecewise_linear_mapping(0, knots1, 3, &y);
    mu_assert("The x-coordinate of each point need to be greater that the x-coordinate of the previous point, the y-coordinate needs to be greater or equal", err);

    VmafPoint knots2[] = {{ .x = 0, .y = 2 }, { .x = 1, .y = 1 }};
    err = piecewise_linear_mapping(0, knots2, 2, &y);
    mu_assert("The x-coordinate of each point need to be greater that the x-coordinate of the previous point, the y-coordinate needs to be greater or equal", err);

    VmafPoint knots2160p[] = {{ .x = 0.0, .y = -55.0  }, { .x = 95.0, .y = 87.5  }, { .x = 105.0, .y = 105.0 }, { .x = 110.0, .y = 110.0 }};
    VmafPoint knots1080p[] = {{ .x = 0.0, .y = -36.66 }, { .x = 90.0, .y = 83.04 }, { .x = 95.0,  .y = 95.0  }, { .x = 100.0, .y = 100.0 }};

    for (double x0 = 0.0; x0 < 95.0; x0 += 0.1) {
        y0_true = 1.5 * x0 - 55.0;
        piecewise_linear_mapping(x0, knots2160p, 4, &y0);
        mu_assert("returned y0 does not match y0_true", fabs(y0 - y0_true) < 1e-8);
    }
    for (double x1 = 0.0; x1 < 90.0; x1 += 0.1) {
        y1_true = 1.33 * x1 - 36.66;
        piecewise_linear_mapping(x1, knots1080p, 4, &y1);
        mu_assert("returned y1 does not match y1_true", fabs(y1 - y1_true) < 1e-8);
    }

    for (double x0 = 95.0; x0 < 105.0; x0 += 0.1) {
        y0_true = 1.75 * x0 - 78.75;
        piecewise_linear_mapping(x0, knots2160p, 4, &y0);
        mu_assert("returned y0 does not match y0_true", fabs(y0 - y0_true) < 1e-8);
    }
    for (double x1 = 90.0; x1 < 95.0; x1 += 0.1) {
        y1_true = 2.392 * x1 - 132.24;
        piecewise_linear_mapping(x1, knots1080p, 4, &y1);
        mu_assert("returned y1 does not match y1_true", fabs(y1 - y1_true) < 1e-8);
    }

    for (double x0 = 105.0; x0 < 110.0; x0 += 0.1) {
        piecewise_linear_mapping(x0, knots2160p, 4, &y0);
        mu_assert("returned y0 does not match y0_true", fabs(y0 - x0) < 1e-8);
    }
    for (double x1 = 95.0; x1 < 100.0; x1 += 0.1) {
        piecewise_linear_mapping(x1, knots1080p, 4, &y1);
        mu_assert("returned y1 does not match x1", fabs(y1 - x1) < 1e-8);
    }

    VmafPoint knots_single[] = {{ .x = 10.0, .y = 10.0  }, { .x = 50.0, .y = 60.0  }};
    for (double x0 = 0.0; x0 < 110.0; x0 += 0.1) {
        piecewise_linear_mapping(x0, knots_single, 2, &y0);
        y0_true = 1.25 * x0 - 2.5;
        mu_assert("returned y0 does not match y0_true", fabs(y0 - y0_true) < 1e-8);
    }

    return NULL;
}

char *run_tests()
{
    mu_run_test(test_predict_score_at_index);
    mu_run_test(test_find_linear_function_parameters);
    mu_run_test(test_piecewise_linear_mapping);
    return NULL;
}