From 3fc3fd0f1f1924acb7195fe98fe68648e4056a09 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 28 Mar 2018 23:38:35 +0000
Subject: [PATCH] Fixed training, calculation mAP and anchors for Yolo v3
---
src/data.c | 401 +++++++++++++++++++++++++++++++++++++++++---------------
1 files changed, 293 insertions(+), 108 deletions(-)
diff --git a/src/data.c b/src/data.c
index 9aa08af..88d5720 100644
--- a/src/data.c
+++ b/src/data.c
@@ -7,7 +7,6 @@
#include <stdlib.h>
#include <string.h>
-unsigned int data_seed;
pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER;
list *get_paths(char *filename)
@@ -23,13 +22,14 @@
return lines;
}
+/*
char **get_random_paths_indexes(char **paths, int n, int m, int *indexes)
{
char **random_paths = calloc(n, sizeof(char*));
int i;
pthread_mutex_lock(&mutex);
for(i = 0; i < n; ++i){
- int index = rand_r(&data_seed)%m;
+ int index = random_gen()%m;
indexes[i] = index;
random_paths[i] = paths[index];
if(i == 0) printf("%s\n", paths[index]);
@@ -37,16 +37,19 @@
pthread_mutex_unlock(&mutex);
return random_paths;
}
+*/
char **get_random_paths(char **paths, int n, int m)
{
char **random_paths = calloc(n, sizeof(char*));
int i;
pthread_mutex_lock(&mutex);
- for(i = 0; i < n; ++i){
- int index = rand_r(&data_seed)%m;
+ //printf("n = %d \n", n);
+ for(i = 0; i < n; ++i){
+ int index = random_gen() % m;
random_paths[i] = paths[index];
- if(i == 0) printf("%s\n", paths[index]);
+ //if(i == 0) printf("%s\n", paths[index]);
+ //printf("grp: %s\n", paths[index]);
}
pthread_mutex_unlock(&mutex);
return random_paths;
@@ -57,7 +60,8 @@
char **replace_paths = calloc(n, sizeof(char*));
int i;
for(i = 0; i < n; ++i){
- char *replaced = find_replace(paths[i], find, replace);
+ char replaced[4096];
+ find_replace(paths[i], find, replace, replaced);
replace_paths[i] = copy_string(replaced);
}
return replace_paths;
@@ -100,7 +104,7 @@
return X;
}
-matrix load_image_augment_paths(char **paths, int n, int min, int max, int size, float angle, float exposure, float saturation)
+matrix load_image_augment_paths(char **paths, int n, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
{
int i;
matrix X;
@@ -110,13 +114,10 @@
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
- image crop = random_augment_image(im, angle, min, max, size);
- int flip = rand_r(&data_seed)%2;
+ image crop = random_augment_image(im, angle, aspect, min, max, size);
+ int flip = random_gen()%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);
+ random_distort_image(crop, hue, saturation, exposure);
/*
show_image(im, "orig");
@@ -162,7 +163,7 @@
int i;
for(i = 0; i < n; ++i){
box_label swap = b[i];
- int index = rand_r(&data_seed)%n;
+ int index = random_gen()%n;
b[i] = b[index];
b[index] = swap;
}
@@ -172,6 +173,13 @@
{
int i;
for(i = 0; i < n; ++i){
+ if(boxes[i].x == 0 && boxes[i].y == 0) {
+ boxes[i].x = 999999;
+ boxes[i].y = 999999;
+ boxes[i].w = 999999;
+ boxes[i].h = 999999;
+ continue;
+ }
boxes[i].left = boxes[i].left * sx - dx;
boxes[i].right = boxes[i].right * sx - dx;
boxes[i].top = boxes[i].top * sy - dy;
@@ -200,12 +208,13 @@
void fill_truth_swag(char *path, float *truth, int classes, int flip, float dx, float dy, float sx, float sy)
{
- char *labelpath = find_replace(path, "images", "labels");
- labelpath = find_replace(labelpath, "JPEGImages", "labels");
+ char labelpath[4096];
+ find_replace(path, "images", "labels", labelpath);
+ find_replace(labelpath, "JPEGImages", "labels", labelpath);
+ find_replace(labelpath, ".jpg", ".txt", labelpath);
+ find_replace(labelpath, ".JPG", ".txt", labelpath);
+ find_replace(labelpath, ".JPEG", ".txt", labelpath);
- labelpath = find_replace(labelpath, ".jpg", ".txt");
- labelpath = find_replace(labelpath, ".JPG", ".txt");
- labelpath = find_replace(labelpath, ".JPEG", ".txt");
int count = 0;
box_label *boxes = read_boxes(labelpath, &count);
randomize_boxes(boxes, count);
@@ -237,12 +246,14 @@
void fill_truth_region(char *path, float *truth, int classes, int num_boxes, int flip, float dx, float dy, float sx, float sy)
{
- char *labelpath = find_replace(path, "images", "labels");
- labelpath = find_replace(labelpath, "JPEGImages", "labels");
+ char labelpath[4096];
+ find_replace(path, "images", "labels", labelpath);
+ find_replace(labelpath, "JPEGImages", "labels", labelpath);
- labelpath = find_replace(labelpath, ".jpg", ".txt");
- labelpath = find_replace(labelpath, ".JPG", ".txt");
- labelpath = find_replace(labelpath, ".JPEG", ".txt");
+ find_replace(labelpath, ".jpg", ".txt", labelpath);
+ find_replace(labelpath, ".png", ".txt", labelpath);
+ find_replace(labelpath, ".JPG", ".txt", labelpath);
+ find_replace(labelpath, ".JPEG", ".txt", labelpath);
int count = 0;
box_label *boxes = read_boxes(labelpath, &count);
randomize_boxes(boxes, count);
@@ -258,7 +269,7 @@
h = boxes[i].h;
id = boxes[i].id;
- if (w < .01 || h < .01) continue;
+ if (w < .001 || h < .001) continue;
int col = (int)(x*num_boxes);
int row = (int)(y*num_boxes);
@@ -281,22 +292,31 @@
free(boxes);
}
-void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy)
+void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy, int small_object)
{
- char *labelpath = find_replace(path, "images", "labels");
- labelpath = find_replace(labelpath, "JPEGImages", "labels");
+ char labelpath[4096];
+ find_replace(path, "images", "labels", labelpath);
+ find_replace(labelpath, "JPEGImages", "labels", labelpath);
- labelpath = find_replace(labelpath, ".jpg", ".txt");
- labelpath = find_replace(labelpath, ".JPG", ".txt");
- labelpath = find_replace(labelpath, ".JPEG", ".txt");
+ find_replace(labelpath, "raw", "labels", labelpath);
+ find_replace(labelpath, ".jpg", ".txt", labelpath);
+ find_replace(labelpath, ".png", ".txt", labelpath);
+ find_replace(labelpath, ".JPG", ".txt", labelpath);
+ find_replace(labelpath, ".JPEG", ".txt", labelpath);
int count = 0;
+ int i;
box_label *boxes = read_boxes(labelpath, &count);
+ if (small_object == 1) {
+ for (i = 0; i < count; ++i) {
+ if (boxes[i].w < 0.01) boxes[i].w = 0.01;
+ if (boxes[i].h < 0.01) boxes[i].h = 0.01;
+ }
+ }
randomize_boxes(boxes, count);
correct_boxes(boxes, count, dx, dy, sx, sy, flip);
if(count > num_boxes) count = num_boxes;
float x,y,w,h;
int id;
- int i;
for (i = 0; i < count; ++i) {
x = boxes[i].x;
@@ -305,7 +325,8 @@
h = boxes[i].h;
id = boxes[i].id;
- if (w < .01 || h < .01) continue;
+ // not detect small objects
+ if ((w < 0.001 || h < 0.001)) continue;
truth[i*5+0] = x;
truth[i*5+1] = y;
@@ -384,12 +405,47 @@
if(count != 1) printf("Too many or too few labels: %d, %s\n", count, path);
}
-matrix load_labels_paths(char **paths, int n, char **labels, int k)
+void fill_hierarchy(float *truth, int k, tree *hierarchy)
+{
+ int j;
+ for(j = 0; j < k; ++j){
+ if(truth[j]){
+ int parent = hierarchy->parent[j];
+ while(parent >= 0){
+ truth[parent] = 1;
+ parent = hierarchy->parent[parent];
+ }
+ }
+ }
+ int i;
+ int count = 0;
+ for(j = 0; j < hierarchy->groups; ++j){
+ //printf("%d\n", count);
+ int mask = 1;
+ for(i = 0; i < hierarchy->group_size[j]; ++i){
+ if(truth[count + i]){
+ mask = 0;
+ break;
+ }
+ }
+ if (mask) {
+ for(i = 0; i < hierarchy->group_size[j]; ++i){
+ truth[count + i] = SECRET_NUM;
+ }
+ }
+ count += hierarchy->group_size[j];
+ }
+}
+
+matrix load_labels_paths(char **paths, int n, char **labels, int k, tree *hierarchy)
{
matrix y = make_matrix(n, k);
int i;
for(i = 0; i < n && labels; ++i){
fill_truth(paths[i], labels, k, y.vals[i]);
+ if(hierarchy){
+ fill_hierarchy(y.vals[i], k, hierarchy);
+ }
}
return y;
}
@@ -400,11 +456,12 @@
int i;
int count = 0;
for(i = 0; i < n; ++i){
- char *label = find_replace(paths[i], "imgs", "labels");
- label = find_replace(label, "_iconl.jpeg", ".txt");
+ char label[4096];
+ find_replace(paths[i], "imgs", "labels", label);
+ find_replace(label, "_iconl.jpeg", ".txt", label);
FILE *file = fopen(label, "r");
if(!file){
- label = find_replace(label, "labels", "labels2");
+ find_replace(label, "labels", "labels2", label);
file = fopen(label, "r");
if(!file) continue;
}
@@ -431,9 +488,6 @@
void free_data(data d)
{
- if(d.indexes){
- free(d.indexes);
- }
if(!d.shallow){
free_matrix(d.X);
free_matrix(d.y);
@@ -443,7 +497,7 @@
}
}
-data load_data_region(int n, char **paths, int m, int w, int h, int size, int classes, float jitter)
+data load_data_region(int n, char **paths, int m, int w, int h, int size, int classes, float jitter, float hue, float saturation, float exposure)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
@@ -477,7 +531,7 @@
float sx = (float)swidth / ow;
float sy = (float)sheight / oh;
- int flip = rand_r(&data_seed)%2;
+ int flip = random_gen()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/ow)/sx;
@@ -485,6 +539,7 @@
image sized = resize_image(cropped, w, h);
if(flip) flip_image(sized);
+ random_distort_image(sized, hue, saturation, exposure);
d.X.vals[i] = sized.data;
fill_truth_region(random_paths[i], d.y.vals[i], classes, size, flip, dx, dy, 1./sx, 1./sy);
@@ -520,22 +575,24 @@
int id;
float iou;
- char *imlabel1 = find_replace(paths[i*2], "imgs", "labels");
- imlabel1 = find_replace(imlabel1, "jpg", "txt");
+ char imlabel1[4096];
+ char imlabel2[4096];
+ find_replace(paths[i*2], "imgs", "labels", imlabel1);
+ find_replace(imlabel1, "jpg", "txt", imlabel1);
FILE *fp1 = fopen(imlabel1, "r");
while(fscanf(fp1, "%d %f", &id, &iou) == 2){
if (d.y.vals[i][2*id] < iou) d.y.vals[i][2*id] = iou;
}
- char *imlabel2 = find_replace(paths[i*2+1], "imgs", "labels");
- imlabel2 = find_replace(imlabel2, "jpg", "txt");
+ find_replace(paths[i*2+1], "imgs", "labels", imlabel2);
+ find_replace(imlabel2, "jpg", "txt", imlabel2);
FILE *fp2 = fopen(imlabel2, "r");
while(fscanf(fp2, "%d %f", &id, &iou) == 2){
if (d.y.vals[i][2*id + 1] < iou) d.y.vals[i][2*id + 1] = iou;
}
-
+
for (j = 0; j < classes; ++j){
if (d.y.vals[i][2*j] > .5 && d.y.vals[i][2*j+1] < .5){
d.y.vals[i][2*j] = 1;
@@ -560,9 +617,9 @@
data load_data_swag(char **paths, int n, int classes, float jitter)
{
- int index = rand_r(&data_seed)%n;
+ int index = random_gen()%n;
char *random_path = paths[index];
-
+
image orig = load_image_color(random_path, 0, 0);
int h = orig.h;
int w = orig.w;
@@ -593,7 +650,7 @@
float sx = (float)swidth / w;
float sy = (float)sheight / h;
- int flip = rand_r(&data_seed)%2;
+ int flip = random_gen()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/w)/sx;
@@ -611,7 +668,18 @@
return d;
}
-data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, float jitter)
+#ifdef OPENCV
+#include "opencv2/highgui/highgui_c.h"
+#include "opencv2/imgproc/imgproc_c.h"
+#include "opencv2/core/version.hpp"
+#ifndef CV_VERSION_EPOCH
+#include "opencv2/videoio/videoio_c.h"
+#include "opencv2/imgcodecs/imgcodecs_c.h"
+#endif
+
+#include "http_stream.h"
+
+data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, float jitter, float hue, float saturation, float exposure, int small_object)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
@@ -624,18 +692,30 @@
d.y = make_matrix(n, 5*boxes);
for(i = 0; i < n; ++i){
- image orig = load_image_color(random_paths[i], 0, 0);
+ const char *filename = random_paths[i];
- int oh = orig.h;
- int ow = orig.w;
+ int flag = 1;
+ IplImage *src;
+ if ((src = cvLoadImage(filename, flag)) == 0)
+ {
+ fprintf(stderr, "Cannot load image \"%s\"\n", filename);
+ char buff[256];
+ sprintf(buff, "echo %s >> bad.list", filename);
+ system(buff);
+ continue;
+ //exit(0);
+ }
+
+ int oh = src->height;
+ int ow = src->width;
int dw = (ow*jitter);
int dh = (oh*jitter);
- int pleft = rand_uniform(-dw, dw);
- int pright = rand_uniform(-dw, dw);
- int ptop = rand_uniform(-dh, dh);
- int pbot = rand_uniform(-dh, dh);
+ int pleft = rand_uniform_strong(-dw, dw);
+ int pright = rand_uniform_strong(-dw, dw);
+ int ptop = rand_uniform_strong(-dh, dh);
+ int pbot = rand_uniform_strong(-dh, dh);
int swidth = ow - pleft - pright;
int sheight = oh - ptop - pbot;
@@ -643,53 +723,103 @@
float sx = (float)swidth / ow;
float sy = (float)sheight / oh;
- int flip = rand_r(&data_seed)%2;
- image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
+ int flip = random_gen()%2;
float dx = ((float)pleft/ow)/sx;
float dy = ((float)ptop /oh)/sy;
- image sized = resize_image(cropped, w, h);
- if(flip) flip_image(sized);
- d.X.vals[i] = sized.data;
+ float dhue = rand_uniform_strong(-hue, hue);
+ float dsat = rand_scale(saturation);
+ float dexp = rand_scale(exposure);
- fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, dx, dy, 1./sx, 1./sy);
+ image ai = image_data_augmentation(src, w, h, pleft, ptop, swidth, sheight, flip, jitter, dhue, dsat, dexp);
+ d.X.vals[i] = ai.data;
+
+ //show_image(ai, "aug");
+ //cvWaitKey(0);
- free_image(orig);
- free_image(cropped);
+ fill_truth_detection(filename, boxes, d.y.vals[i], classes, flip, dx, dy, 1./sx, 1./sy, small_object);
+
+ cvReleaseImage(&src);
}
free(random_paths);
return d;
}
+#else // OPENCV
+data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, float jitter, float hue, float saturation, float exposure, int small_object)
+{
+ char **random_paths = get_random_paths(paths, n, m);
+ int i;
+ data d = { 0 };
+ d.shallow = 0;
+ d.X.rows = n;
+ d.X.vals = calloc(d.X.rows, sizeof(float*));
+ d.X.cols = h*w * 3;
+
+ d.y = make_matrix(n, 5 * boxes);
+ for (i = 0; i < n; ++i) {
+ image orig = load_image_color(random_paths[i], 0, 0);
+
+ int oh = orig.h;
+ int ow = orig.w;
+
+ int dw = (ow*jitter);
+ int dh = (oh*jitter);
+
+ int pleft = rand_uniform_strong(-dw, dw);
+ int pright = rand_uniform_strong(-dw, dw);
+ int ptop = rand_uniform_strong(-dh, dh);
+ int pbot = rand_uniform_strong(-dh, dh);
+
+ int swidth = ow - pleft - pright;
+ int sheight = oh - ptop - pbot;
+
+ float sx = (float)swidth / ow;
+ float sy = (float)sheight / oh;
+
+ int flip = random_gen() % 2;
+ image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
+
+ float dx = ((float)pleft / ow) / sx;
+ float dy = ((float)ptop / oh) / sy;
+
+ image sized = resize_image(cropped, w, h);
+ if (flip) flip_image(sized);
+ random_distort_image(sized, hue, saturation, exposure);
+ d.X.vals[i] = sized.data;
+
+ fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, dx, dy, 1. / sx, 1. / sy, small_object);
+
+ free_image(orig);
+ free_image(cropped);
+ }
+ free(random_paths);
+ return d;
+}
+#endif // OPENCV
void *load_thread(void *ptr)
{
-
-#ifdef GPU
- cudaError_t status = cudaSetDevice(gpu_index);
- check_error(status);
-#endif
-
- //printf("Loading data: %d\n", rand_r(&data_seed));
+ //srand(time(0));
+ //printf("Loading data: %d\n", random_gen());
load_args a = *(struct load_args*)ptr;
if(a.exposure == 0) a.exposure = 1;
if(a.saturation == 0) a.saturation = 1;
+ if(a.aspect == 0) a.aspect = 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);
+ *a.d = load_data_old(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.angle, a.exposure, a.saturation);
+ *a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.hierarchy, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure);
} 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.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){
- *a.d = load_data_region(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter);
+ *a.d = load_data_region(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure);
} else if (a.type == DETECTION_DATA){
- *a.d = load_data_detection(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter);
+ *a.d = load_data_detection(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure, a.small_object);
} else if (a.type == SWAG_DATA){
*a.d = load_data_swag(a.paths, a.n, a.classes, a.jitter);
} else if (a.type == COMPARE_DATA){
@@ -697,9 +827,11 @@
} else if (a.type == IMAGE_DATA){
*(a.im) = load_image_color(a.path, 0, 0);
*(a.resized) = resize_image(*(a.im), a.w, a.h);
+ }else if (a.type == LETTERBOX_DATA) {
+ *(a.im) = load_image_color(a.path, 0, 0);
+ *(a.resized) = letterbox_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.angle, a.exposure, a.saturation);
- //*a.d = load_data(a.paths, a.n, a.m, a.labels, a.classes, a.w, a.h);
+ *a.d = load_data_tag(a.paths, a.n, a.m, a.classes, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure);
}
free(ptr);
return 0;
@@ -714,6 +846,45 @@
return thread;
}
+void *load_threads(void *ptr)
+{
+ //srand(time(0));
+ int i;
+ load_args args = *(load_args *)ptr;
+ if (args.threads == 0) args.threads = 1;
+ data *out = args.d;
+ int total = args.n;
+ free(ptr);
+ data *buffers = calloc(args.threads, sizeof(data));
+ pthread_t *threads = calloc(args.threads, sizeof(pthread_t));
+ for(i = 0; i < args.threads; ++i){
+ args.d = buffers + i;
+ args.n = (i+1) * total/args.threads - i * total/args.threads;
+ threads[i] = load_data_in_thread(args);
+ }
+ for(i = 0; i < args.threads; ++i){
+ pthread_join(threads[i], 0);
+ }
+ *out = concat_datas(buffers, args.threads);
+ out->shallow = 0;
+ for(i = 0; i < args.threads; ++i){
+ buffers[i].shallow = 1;
+ free_data(buffers[i]);
+ }
+ free(buffers);
+ free(threads);
+ return 0;
+}
+
+pthread_t load_data(load_args args)
+{
+ pthread_t thread;
+ struct load_args *ptr = calloc(1, sizeof(struct load_args));
+ *ptr = args;
+ if(pthread_create(&thread, 0, load_threads, ptr)) error("Thread creation failed");
+ return thread;
+}
+
data load_data_writing(char **paths, int n, int m, int w, int h, int out_w, int out_h)
{
if(m) paths = get_random_paths(paths, n, m);
@@ -729,28 +900,30 @@
return d;
}
-data load_data(char **paths, int n, int m, char **labels, int k, int w, int h)
+data load_data_old(char **paths, int n, int m, char **labels, int k, int w, int h)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
d.X = load_image_paths(paths, n, w, h);
- d.y = load_labels_paths(paths, n, labels, k);
+ d.y = load_labels_paths(paths, n, labels, k, 0);
if(m) free(paths);
return d;
}
-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_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_study(char **paths, int n, int m, char **labels, int k, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
+ {
+ 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_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure);
+ d.y = load_labels_paths(paths, n, labels, k);
+ if(m) free(paths);
+ return d;
+ }
+ */
data load_data_super(char **paths, int n, int m, int w, int h, int scale)
{
@@ -770,7 +943,7 @@
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
image crop = random_crop_image(im, w*scale, h*scale);
- int flip = rand_r(&data_seed)%2;
+ int flip = random_gen()%2;
if (flip) flip_image(crop);
image resize = resize_image(crop, w, h);
d.X.vals[i] = resize.data;
@@ -782,25 +955,25 @@
return d;
}
-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)
+data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
- d.X = load_image_augment_paths(paths, n, min, max, size, angle, exposure, saturation);
- d.y = load_labels_paths(paths, n, labels, k);
+ d.X = load_image_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure);
+ d.y = load_labels_paths(paths, n, labels, k, hierarchy);
if(m) free(paths);
return d;
}
-data load_data_tag(char **paths, int n, int m, int k, int min, int max, int size, float angle, float exposure, float saturation)
+data load_data_tag(char **paths, int n, int m, int k, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
{
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_augment_paths(paths, n, min, max, size, angle, exposure, saturation);
+ d.X = load_image_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure);
d.y = load_tags_paths(paths, n, k);
if(m) free(paths);
return d;
@@ -835,7 +1008,6 @@
{
int i;
data out = {0};
- out.shallow = 1;
for(i = 0; i < n; ++i){
data new = concat_data(d[i], out);
free_data(out);
@@ -876,8 +1048,8 @@
for(i = 0; i < 10000; ++i){
unsigned char bytes[3073];
fread(bytes, 1, 3073, fp);
- int class = bytes[0];
- y.vals[i][class] = 1;
+ int class_id = bytes[0];
+ y.vals[i][class_id] = 1;
for(j = 0; j < X.cols; ++j){
X.vals[i][j] = (double)bytes[j+1];
}
@@ -893,7 +1065,7 @@
{
int j;
for(j = 0; j < n; ++j){
- int index = rand_r(&data_seed)%d.X.rows;
+ int index = random_gen()%d.X.rows;
memcpy(X+j*d.X.cols, d.X.vals[index], d.X.cols*sizeof(float));
memcpy(y+j*d.y.cols, d.y.vals[index], d.y.cols*sizeof(float));
}
@@ -940,8 +1112,8 @@
for(i = 0; i < 10000; ++i){
unsigned char bytes[3073];
fread(bytes, 1, 3073, fp);
- int class = bytes[0];
- y.vals[i+b*10000][class] = 1;
+ int class_id = bytes[0];
+ y.vals[i+b*10000][class_id] = 1;
for(j = 0; j < X.cols; ++j){
X.vals[i+b*10000][j] = (double)bytes[j+1];
}
@@ -1006,7 +1178,7 @@
{
int i;
for(i = d.X.rows-1; i > 0; --i){
- int index = rand_r(&data_seed)%i;
+ int index = random_gen()%i;
float *swap = d.X.vals[index];
d.X.vals[index] = d.X.vals[i];
d.X.vals[i] = swap;
@@ -1041,6 +1213,19 @@
}
}
+data get_data_part(data d, int part, int total)
+{
+ data p = {0};
+ p.shallow = 1;
+ p.X.rows = d.X.rows * (part + 1) / total - d.X.rows * part / total;
+ p.y.rows = d.y.rows * (part + 1) / total - d.y.rows * part / total;
+ p.X.cols = d.X.cols;
+ p.y.cols = d.y.cols;
+ p.X.vals = d.X.vals + d.X.rows * part / total;
+ p.y.vals = d.y.vals + d.y.rows * part / total;
+ return p;
+}
+
data get_random_data(data d, int num)
{
data r = {0};
@@ -1057,7 +1242,7 @@
int i;
for(i = 0; i < num; ++i){
- int index = rand()%d.X.rows;
+ int index = random_gen()%d.X.rows;
r.X.vals[i] = d.X.vals[index];
r.y.vals[i] = d.y.vals[index];
}
--
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