From aebe937710ced03d03f73ab23f410f29685655c1 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 11 Aug 2016 18:54:24 +0000
Subject: [PATCH] what do you even write here?
---
src/data.c | 30 +++++++++++++++++++-----------
1 files changed, 19 insertions(+), 11 deletions(-)
diff --git a/src/data.c b/src/data.c
index 231fb93..9aa08af 100644
--- a/src/data.c
+++ b/src/data.c
@@ -100,7 +100,7 @@
return X;
}
-matrix load_image_cropped_paths(char **paths, int n, int min, int max, int size)
+matrix load_image_augment_paths(char **paths, int n, int min, int max, int size, float angle, float exposure, float saturation)
{
int i;
matrix X;
@@ -110,9 +110,14 @@
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
- image crop = random_resize_crop_image(im, min, max, size);
+ image crop = random_augment_image(im, angle, min, max, size);
int flip = rand_r(&data_seed)%2;
if (flip) flip_image(crop);
+ float exp = rand_uniform(1./exposure, exposure);
+ float sat = rand_uniform(1./saturation, saturation);
+ exposure_image(crop, exp);
+ exposure_image(crop, sat);
+
/*
show_image(im, "orig");
show_image(crop, "crop");
@@ -668,14 +673,17 @@
//printf("Loading data: %d\n", rand_r(&data_seed));
load_args a = *(struct load_args*)ptr;
+ if(a.exposure == 0) a.exposure = 1;
+ if(a.saturation == 0) a.saturation = 1;
+
if (a.type == OLD_CLASSIFICATION_DATA){
*a.d = load_data(a.paths, a.n, a.m, a.labels, a.classes, a.w, a.h);
} else if (a.type == CLASSIFICATION_DATA){
- *a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.min, a.max, a.size);
+ *a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.min, a.max, a.size, a.angle, a.exposure, a.saturation);
} else if (a.type == SUPER_DATA){
*a.d = load_data_super(a.paths, a.n, a.m, a.w, a.h, a.scale);
} else if (a.type == STUDY_DATA){
- *a.d = load_data_study(a.paths, a.n, a.m, a.labels, a.classes, a.min, a.max, a.size);
+ *a.d = load_data_study(a.paths, a.n, a.m, a.labels, a.classes, a.min, a.max, a.size, a.angle, a.exposure, a.saturation);
} else if (a.type == WRITING_DATA){
*a.d = load_data_writing(a.paths, a.n, a.m, a.w, a.h, a.out_w, a.out_h);
} else if (a.type == REGION_DATA){
@@ -690,7 +698,7 @@
*(a.im) = load_image_color(a.path, 0, 0);
*(a.resized) = resize_image(*(a.im), a.w, a.h);
} else if (a.type == TAG_DATA){
- *a.d = load_data_tag(a.paths, a.n, a.m, a.classes, a.min, a.max, a.size);
+ *a.d = load_data_tag(a.paths, a.n, a.m, a.classes, a.min, a.max, a.size, a.angle, a.exposure, a.saturation);
//*a.d = load_data(a.paths, a.n, a.m, a.labels, a.classes, a.w, a.h);
}
free(ptr);
@@ -732,13 +740,13 @@
return d;
}
-data load_data_study(char **paths, int n, int m, char **labels, int k, int min, int max, int size)
+data load_data_study(char **paths, int n, int m, char **labels, int k, int min, int max, int size, float angle, float exposure, float saturation)
{
data d = {0};
d.indexes = calloc(n, sizeof(int));
if(m) paths = get_random_paths_indexes(paths, n, m, d.indexes);
d.shallow = 0;
- d.X = load_image_cropped_paths(paths, n, min, max, size);
+ d.X = load_image_augment_paths(paths, n, min, max, size, angle, exposure, saturation);
d.y = load_labels_paths(paths, n, labels, k);
if(m) free(paths);
return d;
@@ -774,25 +782,25 @@
return d;
}
-data load_data_augment(char **paths, int n, int m, char **labels, int k, int min, int max, int size)
+data load_data_augment(char **paths, int n, int m, char **labels, int k, int min, int max, int size, float angle, float exposure, float saturation)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
- d.X = load_image_cropped_paths(paths, n, min, max, size);
+ d.X = load_image_augment_paths(paths, n, min, max, size, angle, exposure, saturation);
d.y = load_labels_paths(paths, n, labels, k);
if(m) free(paths);
return d;
}
-data load_data_tag(char **paths, int n, int m, int k, int min, int max, int size)
+data load_data_tag(char **paths, int n, int m, int k, int min, int max, int size, float angle, float exposure, float saturation)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.w = size;
d.h = size;
d.shallow = 0;
- d.X = load_image_cropped_paths(paths, n, min, max, size);
+ d.X = load_image_augment_paths(paths, n, min, max, size, angle, exposure, saturation);
d.y = load_tags_paths(paths, n, k);
if(m) free(paths);
return d;
--
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