-
Notifications
You must be signed in to change notification settings - Fork 1.7k
/
swtcreate.c
162 lines (160 loc) · 5.24 KB
/
swtcreate.c
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
#include "ccv.h"
#include <sys/time.h>
#include <ctype.h>
double ccv_swt_evaluate(int n, ccv_dense_matrix_t** images, ccv_array_t** truth, double a, ccv_swt_param_t params)
{
int i, j, k;
double total_f = 0, total_precision = 0, total_recall = 0;
for (i = 0; i < n; i++)
{
ccv_array_t* words = ccv_swt_detect_words(images[i], params);
double f = 0, precision = 0, recall = 0;
for (j = 0; j < words->rnum; j++)
{
ccv_rect_t* estimate = (ccv_rect_t*)ccv_array_get(words, j);
int match = 0;
for (k = 0; k < truth[i]->rnum; k++)
{
ccv_rect_t* target = (ccv_rect_t*)ccv_array_get(truth[i], k);
match = ccv_max(match, ccv_max(ccv_min(target->x + target->width, estimate->x + estimate->width) - ccv_max(target->x, estimate->x), 0) * ccv_max(ccv_min(target->y + target->height, estimate->y + estimate->height) - ccv_max(target->y, estimate->y), 0));
}
precision += (double)match / (double)(estimate->width * estimate->height);
}
if (words->rnum > 0)
precision /= words->rnum;
for (j = 0; j < truth[i]->rnum; j++)
{
ccv_rect_t* target = (ccv_rect_t*)ccv_array_get(truth[i], j);
int match = 0;
for (k = 0; k < words->rnum; k++)
{
ccv_rect_t* estimate = (ccv_rect_t*)ccv_array_get(words, k);
match = ccv_max(match, ccv_max(ccv_min(target->x + target->width, estimate->x + estimate->width) - ccv_max(target->x, estimate->x), 0) * ccv_max(ccv_min(target->y + target->height, estimate->y + estimate->height) - ccv_max(target->y, estimate->y), 0));
}
recall += (double)match / (double)(target->width * target->height);
}
ccv_array_free(words);
if (truth[i]->rnum > 0)
recall /= truth[i]->rnum;
if (precision > 0 && recall > 0)
f = 1 / (a / precision + (1 - a) / recall);
total_f += f;
total_precision += precision;
total_recall += recall;
}
total_f /= n;
total_precision /= n;
total_recall /= n;
return total_f;
}
int main(int argc, char** argv)
{
FILE* r = fopen(argv[1], "rt");
if (argc == 3)
chdir(argv[2]);
int images;
fscanf(r, "%d", &images);
int i;
ccv_enable_default_cache();
ccv_dense_matrix_t** aof = (ccv_dense_matrix_t**)ccmalloc(sizeof(ccv_dense_matrix_t*) * images);
ccv_array_t** aow = (ccv_array_t**)ccmalloc(sizeof(ccv_array_t**) * images);
for (i = 0; i < images; i++)
{
char file[1000];
fscanf(r, "%s", file);
aof[i] = 0;
ccv_read(file, aof + i, CCV_IO_GRAY | CCV_IO_ANY_FILE);
int locations;
fscanf(r, "%d", &locations);
int j;
aow[i] = ccv_array_new(locations, sizeof(ccv_rect_t));
for (j = 0; j < locations; j++)
{
double x, y, width, height;
fscanf(r, "%lf %lf %lf %lf", &x, &y, &width, &height);
ccv_rect_t rect = { .x = (int)x, .y = (int)y, .width = (int)width, .height = (int)height };
ccv_array_push(aow[i], &rect);
}
}
ccv_swt_param_t params = { .size = 5, .low_thresh = 93, .high_thresh = 279, .max_height = 300, .min_height = 10, .aspect_ratio = 10, .variance_ratio = 0.5, .thickness_ratio = 2, .height_ratio = 2, .intensity_thresh = 29, .distance_ratio = 3, .intersect_ratio = 2, .letter_thresh = 3, .elongate_ratio = 1.3, .breakdown = 1, .breakdown_ratio = 3 };
double best_f = 0;
ccv_swt_param_t best_params = params;
/*
for (i = 50; i < 200; i++)
{
params.low_thresh = i;
params.high_thresh = i * 3;
double f = ccv_swt_evaluate(images, aof, aow, 0.5, params);
if (f > best_f)
{
best_params = params;
best_f = f;
printf("best f = %lf at low_thresh = %d\n", best_f, i);
}
}
params = best_params;
for (i = params.low_thresh * 2; i < params.low_thresh * 4; i++)
{
params.high_thresh = i;
double f = ccv_swt_evaluate(images, aof, aow, 0.5, params);
if (f > best_f)
{
best_params = params;
best_f = f;
printf("best f = %lf at high_thresh = %d\n", best_f, i);
}
}
params = best_params;
for (i = 5; i < 30; i++)
{
params.intensity_thresh = i;
double f = ccv_swt_evaluate(images, aof, aow, 0.5, params);
if (f > best_f)
{
best_params = params;
best_f = f;
printf("best f = %lf at intensity_thresh = %d\n", best_f, i);
}
}
params = best_params;
for (i = 1; i <= 30; i++)
{
params.variance_ratio = i / 10.0;
double f = ccv_swt_evaluate(images, aof, aow, 0.5, params);
if (f > best_f)
{
best_params = params;
best_f = f;
printf("best f = %lf at variance_ratio = %lf\n", best_f, params.variance_ratio);
}
}
params = best_params;
for (i = 1; i <= 100; i++)
{
params.elongate_ratio = i / 10.0;
double f = ccv_swt_evaluate(images, aof, aow, 0.5, params);
if (f > best_f)
{
best_params = params;
best_f = f;
printf("best f = %lf at elongate_ratio = %lf\n", best_f, params.elongate_ratio);
}
}
*/
for (i = 1; i <= 200; i++)
{
params.breakdown_ratio = i / 10.0;
double f = ccv_swt_evaluate(images, aof, aow, 0.5, params);
if (f > best_f)
{
best_params = params;
best_f = f;
printf("best f = %lf at breakdown_ratio = %lf\n", best_f, params.breakdown_ratio);
}
}
printf("best parameters for swt is:\n\tlow_thresh = %lf\n\thigh_thresh = %lf\n\tintensity_thresh = %d\n\tvariance_ratio = %lf\n\telongate_ratio = %lf\n\tbreakdown_ratio = %lf\n", best_params.low_thresh, best_params.high_thresh, best_params.intensity_thresh, best_params.variance_ratio, best_params.elongate_ratio, best_params.breakdown_ratio);
ccfree(aof);
ccfree(aow);
ccv_disable_cache();
return 0;
}