From db0397cfaaf488364e3d2e1669dfefae2ee6ea73 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 14 Dec 2015 19:57:10 +0000
Subject: [PATCH] shortcut layers, msr networks

---
 src/data.c |  735 ++++++++++++++++++++++++++++++++++++++++++++++++++++---
 1 files changed, 687 insertions(+), 48 deletions(-)

diff --git a/src/data.c b/src/data.c
index 846b950..8d76276 100644
--- a/src/data.c
+++ b/src/data.c
@@ -1,11 +1,14 @@
 #include "data.h"
 #include "utils.h"
 #include "image.h"
+#include "cuda.h"
 
 #include <stdio.h>
 #include <stdlib.h>
 #include <string.h>
 
+unsigned int data_seed;
+
 list *get_paths(char *filename)
 {
     char *path;
@@ -19,45 +22,376 @@
     return lines;
 }
 
+char **get_random_paths(char **paths, int n, int m)
+{
+    char **random_paths = calloc(n, sizeof(char*));
+    int i;
+    for(i = 0; i < n; ++i){
+        int index = rand_r(&data_seed)%m;
+        random_paths[i] = paths[index];
+        if(i == 0) printf("%s\n", paths[index]);
+    }
+    return random_paths;
+}
+
+char **find_replace_paths(char **paths, int n, char *find, char *replace)
+{
+    char **replace_paths = calloc(n, sizeof(char*));
+    int i;
+    for(i = 0; i < n; ++i){
+        char *replaced = find_replace(paths[i], find, replace);
+        replace_paths[i] = copy_string(replaced);
+    }
+    return replace_paths;
+}
+
+matrix load_image_paths_gray(char **paths, int n, int w, int h)
+{
+    int i;
+    matrix X;
+    X.rows = n;
+    X.vals = calloc(X.rows, sizeof(float*));
+    X.cols = 0;
+
+    for(i = 0; i < n; ++i){
+        image im = load_image(paths[i], w, h, 3);
+
+        image gray = grayscale_image(im);
+        free_image(im);
+        im = gray;
+
+        X.vals[i] = im.data;
+        X.cols = im.h*im.w*im.c;
+    }
+    return X;
+}
+
+matrix load_image_paths(char **paths, int n, int w, int h)
+{
+    int i;
+    matrix X;
+    X.rows = n;
+    X.vals = calloc(X.rows, sizeof(float*));
+    X.cols = 0;
+
+    for(i = 0; i < n; ++i){
+        image im = load_image_color(paths[i], w, h);
+        X.vals[i] = im.data;
+        X.cols = im.h*im.w*im.c;
+    }
+    return X;
+}
+
+box_label *read_boxes(char *filename, int *n)
+{
+    box_label *boxes = calloc(1, sizeof(box_label));
+    FILE *file = fopen(filename, "r");
+    if(!file) file_error(filename);
+    float x, y, h, w;
+    int id;
+    int count = 0;
+    while(fscanf(file, "%d %f %f %f %f", &id, &x, &y, &w, &h) == 5){
+        boxes = realloc(boxes, (count+1)*sizeof(box_label));
+        boxes[count].id = id;
+        boxes[count].x = x;
+        boxes[count].y = y;
+        boxes[count].h = h;
+        boxes[count].w = w;
+        boxes[count].left   = x - w/2;
+        boxes[count].right  = x + w/2;
+        boxes[count].top    = y - h/2;
+        boxes[count].bottom = y + h/2;
+        ++count;
+    }
+    fclose(file);
+    *n = count;
+    return boxes;
+}
+
+void randomize_boxes(box_label *b, int n)
+{
+    int i;
+    for(i = 0; i < n; ++i){
+        box_label swap = b[i];
+        int index = rand_r(&data_seed)%n;
+        b[i] = b[index];
+        b[index] = swap;
+    }
+}
+
+void correct_boxes(box_label *boxes, int n, float dx, float dy, float sx, float sy, int flip)
+{
+    int i;
+    for(i = 0; i < n; ++i){
+        boxes[i].left   = boxes[i].left  * sx - dx;
+        boxes[i].right  = boxes[i].right * sx - dx;
+        boxes[i].top    = boxes[i].top   * sy - dy;
+        boxes[i].bottom = boxes[i].bottom* sy - dy;
+
+        if(flip){
+            float swap = boxes[i].left;
+            boxes[i].left = 1. - boxes[i].right;
+            boxes[i].right = 1. - swap;
+        }
+
+        boxes[i].left =  constrain(0, 1, boxes[i].left);
+        boxes[i].right = constrain(0, 1, boxes[i].right);
+        boxes[i].top =   constrain(0, 1, boxes[i].top);
+        boxes[i].bottom =   constrain(0, 1, boxes[i].bottom);
+
+        boxes[i].x = (boxes[i].left+boxes[i].right)/2;
+        boxes[i].y = (boxes[i].top+boxes[i].bottom)/2;
+        boxes[i].w = (boxes[i].right - boxes[i].left);
+        boxes[i].h = (boxes[i].bottom - boxes[i].top);
+
+        boxes[i].w = constrain(0, 1, boxes[i].w);
+        boxes[i].h = constrain(0, 1, boxes[i].h);
+    }
+}
+
+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");
+
+    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);
+    correct_boxes(boxes, count, dx, dy, sx, sy, flip);
+    float x,y,w,h;
+    int id;
+    int i;
+
+    for (i = 0; i < count && i < 30; ++i) {
+        x =  boxes[i].x;
+        y =  boxes[i].y;
+        w =  boxes[i].w;
+        h =  boxes[i].h;
+        id = boxes[i].id;
+
+        if (w < .0 || h < .0) continue;
+
+        int index = (4+classes) * i;
+
+        truth[index++] = x;
+        truth[index++] = y;
+        truth[index++] = w;
+        truth[index++] = h;
+
+        if (id < classes) truth[index+id] = 1;
+    }
+    free(boxes);
+}
+
+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");
+
+    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);
+    correct_boxes(boxes, count, dx, dy, sx, sy, flip);
+    float x,y,w,h;
+    int id;
+    int i;
+
+    for (i = 0; i < count; ++i) {
+        x =  boxes[i].x;
+        y =  boxes[i].y;
+        w =  boxes[i].w;
+        h =  boxes[i].h;
+        id = boxes[i].id;
+
+        if (w < .01 || h < .01) continue;
+
+        int col = (int)(x*num_boxes);
+        int row = (int)(y*num_boxes);
+
+        x = x*num_boxes - col;
+        y = y*num_boxes - row;
+
+        int index = (col+row*num_boxes)*(5+classes);
+        if (truth[index]) continue;
+        truth[index++] = 1;
+
+        if (id < classes) truth[index+id] = 1;
+        index += classes;
+
+        truth[index++] = x;
+        truth[index++] = y;
+        truth[index++] = w;
+        truth[index++] = h;
+    }
+    free(boxes);
+}
+
+void fill_truth_detection(char *path, float *truth, int classes, int num_boxes, int flip, int background, float dx, float dy, float sx, float sy)
+{
+    char *labelpath = find_replace(path, "JPEGImages", "labels");
+    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);
+    float x,y,w,h;
+    float left, top, right, bot;
+    int id;
+    int i;
+    if(background){
+        for(i = 0; i < num_boxes*num_boxes*(4+classes+background); i += 4+classes+background){
+            truth[i] = 1;
+        }
+    }
+    for(i = 0; i < count; ++i){
+        left  = boxes[i].left  * sx - dx;
+        right = boxes[i].right * sx - dx;
+        top   = boxes[i].top   * sy - dy;
+        bot   = boxes[i].bottom* sy - dy;
+        id = boxes[i].id;
+
+        if(flip){
+            float swap = left;
+            left = 1. - right;
+            right = 1. - swap;
+        }
+
+        left =  constrain(0, 1, left);
+        right = constrain(0, 1, right);
+        top =   constrain(0, 1, top);
+        bot =   constrain(0, 1, bot);
+
+        x = (left+right)/2;
+        y = (top+bot)/2;
+        w = (right - left);
+        h = (bot - top);
+
+        if (x <= 0 || x >= 1 || y <= 0 || y >= 1) continue;
+
+        int col = (int)(x*num_boxes);
+        int row = (int)(y*num_boxes);
+
+        x = x*num_boxes - col;
+        y = y*num_boxes - row;
+
+        /*
+           float maxwidth = distance_from_edge(i, num_boxes);
+           float maxheight = distance_from_edge(j, num_boxes);
+           w = w/maxwidth;
+           h = h/maxheight;
+         */
+
+        w = constrain(0, 1, w);
+        h = constrain(0, 1, h);
+        if (w < .01 || h < .01) continue;
+        if(1){
+            w = pow(w, 1./2.);
+            h = pow(h, 1./2.);
+        }
+
+        int index = (col+row*num_boxes)*(4+classes+background);
+        if(truth[index+classes+background+2]) continue;
+        if(background) truth[index++] = 0;
+        truth[index+id] = 1;
+        index += classes;
+        truth[index++] = x;
+        truth[index++] = y;
+        truth[index++] = w;
+        truth[index++] = h;
+    }
+    free(boxes);
+}
+
+#define NUMCHARS 37
+
+void print_letters(float *pred, int n)
+{
+    int i;
+    for(i = 0; i < n; ++i){
+        int index = max_index(pred+i*NUMCHARS, NUMCHARS);
+        printf("%c", int_to_alphanum(index));
+    }
+    printf("\n");
+}
+
+void fill_truth_captcha(char *path, int n, float *truth)
+{
+    char *begin = strrchr(path, '/');
+    ++begin;
+    int i;
+    for(i = 0; i < strlen(begin) && i < n && begin[i] != '.'; ++i){
+        int index = alphanum_to_int(begin[i]);
+        if(index > 35) printf("Bad %c\n", begin[i]);
+        truth[i*NUMCHARS+index] = 1;
+    }
+    for(;i < n; ++i){
+        truth[i*NUMCHARS + NUMCHARS-1] = 1;
+    }
+}
+
+data load_data_captcha(char **paths, int n, int m, int k, int w, int h)
+{
+    if(m) paths = get_random_paths(paths, n, m);
+    data d;
+    d.shallow = 0;
+    d.X = load_image_paths(paths, n, w, h);
+    d.y = make_matrix(n, k*NUMCHARS);
+    int i;
+    for(i = 0; i < n; ++i){
+        fill_truth_captcha(paths[i], k, d.y.vals[i]);
+    }
+    if(m) free(paths);
+    return d;
+}
+
+data load_data_captcha_encode(char **paths, int n, int m, int w, int h)
+{
+    if(m) paths = get_random_paths(paths, n, m);
+    data d;
+    d.shallow = 0;
+    d.X = load_image_paths(paths, n, w, h);
+    d.X.cols = 17100;
+    d.y = d.X;
+    if(m) free(paths);
+    return d;
+}
+
 void fill_truth(char *path, char **labels, int k, float *truth)
 {
     int i;
     memset(truth, 0, k*sizeof(float));
+    int count = 0;
     for(i = 0; i < k; ++i){
         if(strstr(path, labels[i])){
             truth[i] = 1;
+            ++count;
         }
     }
+    if(count != 1) printf("Too many or too few labels: %d, %s\n", count, path);
 }
 
-data load_data_image_paths(char **paths, int n, char **labels, int k, int h, int w)
+matrix load_labels_paths(char **paths, int n, char **labels, int k)
 {
+    matrix y = make_matrix(n, k);
     int i;
-    data d;
-    d.shallow = 0;
-    d.X.rows = n;
-    d.X.vals = calloc(d.X.rows, sizeof(float*));
-    d.X.cols = 0;
-    d.y = make_matrix(n, k);
-
-    for(i = 0; i < n; ++i){
-        image im = load_image(paths[i], h, w);
-        d.X.vals[i] = im.data;
-        d.X.cols = im.h*im.w*im.c;
-        fill_truth(paths[i], labels, k, d.y.vals[i]);
+    for(i = 0; i < n && labels; ++i){
+        fill_truth(paths[i], labels, k, y.vals[i]);
     }
-    return d;
+    return y;
 }
 
-data load_data_image_pathfile(char *filename, char **labels, int k, int h, int w)
+char **get_labels(char *filename)
 {
     list *plist = get_paths(filename);
-    char **paths = (char **)list_to_array(plist);
-    data d = load_data_image_paths(paths, plist->size, labels, k, h, w);
-    free_list_contents(plist);
+    char **labels = (char **)list_to_array(plist);
     free_list(plist);
-    free(paths);
-    return d;
+    return labels;
 }
 
 void free_data(data d)
@@ -71,38 +405,322 @@
     }
 }
 
-data load_data_image_pathfile_part(char *filename, int part, int total, char **labels, int k, int h, int w)
+data load_data_region(int n, char **paths, int m, int w, int h, int size, int classes, float jitter)
 {
-    list *plist = get_paths(filename);
-    char **paths = (char **)list_to_array(plist);
-    int start = part*plist->size/total;
-    int end = (part+1)*plist->size/total;
-    data d = load_data_image_paths(paths+start, end-start, labels, k, h, w);
-    free_list_contents(plist);
-    free_list(plist);
-    free(paths);
+    char **random_paths = get_random_paths(paths, n, m);
+    int i;
+    data d;
+    d.shallow = 0;
+
+    d.X.rows = n;
+    d.X.vals = calloc(d.X.rows, sizeof(float*));
+    d.X.cols = h*w*3;
+
+    int k = size*size*(5+classes);
+    d.y = make_matrix(n, k);
+    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() * 2*dw - dw);
+        int pright = (rand_uniform() * 2*dw - dw);
+        int ptop   = (rand_uniform() * 2*dh - dh);
+        int pbot   = (rand_uniform() * 2*dh - dh);
+
+        int swidth =  ow - pleft - pright;
+        int sheight = oh - ptop - pbot;
+
+        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);
+
+        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;
+
+        fill_truth_region(random_paths[i], d.y.vals[i], classes, size, flip, dx, dy, 1./sx, 1./sy);
+
+        free_image(orig);
+        free_image(cropped);
+    }
+    free(random_paths);
     return d;
 }
 
-data load_data_image_pathfile_random(char *filename, int n, char **labels, int k, int h, int w)
+data load_data_compare(int n, char **paths, int m, int classes, int w, int h)
 {
-    int i;
-    list *plist = get_paths(filename);
-    char **paths = (char **)list_to_array(plist);
-    char **random_paths = calloc(n, sizeof(char*));
+    if(m) paths = get_random_paths(paths, 2*n, m);
+    int i,j;
+    data d;
+    d.shallow = 0;
+
+    d.X.rows = n;
+    d.X.vals = calloc(d.X.rows, sizeof(float*));
+    d.X.cols = h*w*6;
+
+    int k = 2*(classes);
+    d.y = make_matrix(n, k);
     for(i = 0; i < n; ++i){
-        int index = rand()%plist->size;
-        random_paths[i] = paths[index];
-        if(i == 0) printf("%s\n", paths[index]);
+        image im1 = load_image_color(paths[i*2],   w, h);
+        image im2 = load_image_color(paths[i*2+1], w, h);
+
+        d.X.vals[i] = calloc(d.X.cols, sizeof(float));
+        memcpy(d.X.vals[i],         im1.data, h*w*3*sizeof(float));
+        memcpy(d.X.vals[i] + h*w*3, im2.data, h*w*3*sizeof(float));
+
+        int id;
+        float iou;
+
+        char *imlabel1 = find_replace(paths[i*2],   "imgs", "labels");
+        imlabel1 = find_replace(imlabel1, "jpg", "txt");
+        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");
+        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;
+                d.y.vals[i][2*j+1] = 0;
+            } else if (d.y.vals[i][2*j] < .5 &&  d.y.vals[i][2*j+1] > .5){
+                d.y.vals[i][2*j] = 0;
+                d.y.vals[i][2*j+1] = 1;
+            } else {
+                d.y.vals[i][2*j]   = SECRET_NUM;
+                d.y.vals[i][2*j+1] = SECRET_NUM;
+            }
+        }
+        fclose(fp1);
+        fclose(fp2);
+
+        free_image(im1);
+        free_image(im2);
     }
-    data d = load_data_image_paths(random_paths, n, labels, k, h, w);
-    free_list_contents(plist);
-    free_list(plist);
-    free(paths);
+    if(m) free(paths);
+    return d;
+}
+
+data load_data_swag(char **paths, int n, int classes, float jitter)
+{
+    int index = rand_r(&data_seed)%n;
+    char *random_path = paths[index];
+    
+    image orig = load_image_color(random_path, 0, 0);
+    int h = orig.h;
+    int w = orig.w;
+
+    data d;
+    d.shallow = 0;
+    d.w = w;
+    d.h = h;
+
+    d.X.rows = 1;
+    d.X.vals = calloc(d.X.rows, sizeof(float*));
+    d.X.cols = h*w*3;
+
+    int k = (4+classes)*30;
+    d.y = make_matrix(1, k);
+
+    int dw = w*jitter;
+    int dh = h*jitter;
+
+    int pleft  = (rand_uniform() * 2*dw - dw);
+    int pright = (rand_uniform() * 2*dw - dw);
+    int ptop   = (rand_uniform() * 2*dh - dh);
+    int pbot   = (rand_uniform() * 2*dh - dh);
+
+    int swidth =  w - pleft - pright;
+    int sheight = h - ptop - pbot;
+
+    float sx = (float)swidth  / w;
+    float sy = (float)sheight / h;
+
+    int flip = rand_r(&data_seed)%2;
+    image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
+
+    float dx = ((float)pleft/w)/sx;
+    float dy = ((float)ptop /h)/sy;
+
+    image sized = resize_image(cropped, w, h);
+    if(flip) flip_image(sized);
+    d.X.vals[0] = sized.data;
+
+    fill_truth_swag(random_path, d.y.vals[0], classes, flip, dx, dy, 1./sx, 1./sy);
+
+    free_image(orig);
+    free_image(cropped);
+
+    return d;
+}
+
+data load_data_detection(int n, char **paths, int m, int classes, int w, int h, int num_boxes, int background)
+{
+    char **random_paths = get_random_paths(paths, n, m);
+    int i;
+    data d;
+    d.shallow = 0;
+
+    d.X.rows = n;
+    d.X.vals = calloc(d.X.rows, sizeof(float*));
+    d.X.cols = h*w*3;
+
+    int k = num_boxes*num_boxes*(4+classes+background);
+    d.y = make_matrix(n, k);
+    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/10;
+        int dh = oh/10;
+
+        int pleft  = (rand_uniform() * 2*dw - dw);
+        int pright = (rand_uniform() * 2*dw - dw);
+        int ptop   = (rand_uniform() * 2*dh - dh);
+        int pbot   = (rand_uniform() * 2*dh - dh);
+
+        int swidth =  ow - pleft - pright;
+        int sheight = oh - ptop - pbot;
+
+        float sx = (float)swidth  / ow;
+        float sy = (float)sheight / oh;
+
+        /*
+           float angle = rand_uniform()*.1 - .05;
+           image rot = rotate_image(orig, angle);
+           free_image(orig);
+           orig = rot;
+         */
+
+        int flip = rand_r(&data_seed)%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);
+        d.X.vals[i] = sized.data;
+
+        fill_truth_detection(random_paths[i], d.y.vals[i], classes, num_boxes, flip, background, dx, dy, 1./sx, 1./sy);
+
+        free_image(orig);
+        free_image(cropped);
+    }
     free(random_paths);
     return d;
 }
 
+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));
+    load_args a = *(struct load_args*)ptr;
+    if (a.type == CLASSIFICATION_DATA){
+        *a.d = load_data(a.paths, a.n, a.m, a.labels, a.classes, a.w, a.h);
+    } else if (a.type == DETECTION_DATA){
+        *a.d = load_data_detection(a.n, a.paths, a.m, a.classes, a.w, a.h, a.num_boxes, a.background);
+    } 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);
+    } 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){
+        *a.d = load_data_compare(a.n, a.paths, a.m, a.classes, a.w, a.h);
+    } 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);
+    }
+    free(ptr);
+    return 0;
+}
+
+pthread_t load_data_in_thread(load_args args)
+{
+    pthread_t thread;
+    struct load_args *ptr = calloc(1, sizeof(struct load_args));
+    *ptr = args;
+    if(pthread_create(&thread, 0, load_thread, 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);
+    char **replace_paths = find_replace_paths(paths, n, ".png", "-label.png");
+    data d;
+    d.shallow = 0;
+    d.X = load_image_paths(paths, n, w, h);
+    d.y = load_image_paths_gray(replace_paths, n, out_w, out_h);
+    if(m) free(paths);
+    int i;
+    for(i = 0; i < n; ++i) free(replace_paths[i]);
+    free(replace_paths);
+    return d;
+}
+
+data load_data(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;
+    d.shallow = 0;
+    d.X = load_image_paths(paths, n, w, h);
+    d.y = load_labels_paths(paths, n, labels, k);
+    if(m) free(paths);
+    return d;
+}
+
+matrix concat_matrix(matrix m1, matrix m2)
+{
+    int i, count = 0;
+    matrix m;
+    m.cols = m1.cols;
+    m.rows = m1.rows+m2.rows;
+    m.vals = calloc(m1.rows + m2.rows, sizeof(float*));
+    for(i = 0; i < m1.rows; ++i){
+        m.vals[count++] = m1.vals[i];
+    }
+    for(i = 0; i < m2.rows; ++i){
+        m.vals[count++] = m2.vals[i];
+    }
+    return m;
+}
+
+data concat_data(data d1, data d2)
+{
+    data d;
+    d.shallow = 1;
+    d.X = concat_matrix(d1.X, d2.X);
+    d.y = concat_matrix(d1.y, d2.y);
+    return d;
+}
+
 data load_categorical_data_csv(char *filename, int target, int k)
 {
     data d;
@@ -141,13 +759,34 @@
             X.vals[i][j] = (double)bytes[j+1];
         }
     }
-	translate_data_rows(d, -144);
-	scale_data_rows(d, 1./128);
-	//normalize_data_rows(d);
+    translate_data_rows(d, -128);
+    scale_data_rows(d, 1./128);
+    //normalize_data_rows(d);
     fclose(fp);
     return d;
 }
 
+void get_random_batch(data d, int n, float *X, float *y)
+{
+    int j;
+    for(j = 0; j < n; ++j){
+        int index = rand_r(&data_seed)%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));
+    }
+}
+
+void get_next_batch(data d, int n, int offset, float *X, float *y)
+{
+    int j;
+    for(j = 0; j < n; ++j){
+        int index = offset + j;
+        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));
+    }
+}
+
+
 data load_all_cifar10()
 {
     data d;
@@ -158,7 +797,7 @@
     d.X = X;
     d.y = y;
 
-    
+
     for(b = 0; b < 5; ++b){
         char buff[256];
         sprintf(buff, "data/cifar10/data_batch_%d.bin", b+1);
@@ -176,8 +815,8 @@
         fclose(fp);
     }
     //normalize_data_rows(d);
-	translate_data_rows(d, -144);
-	scale_data_rows(d, 1./128);
+    translate_data_rows(d, -128);
+    scale_data_rows(d, 1./128);
     return d;
 }
 
@@ -185,7 +824,7 @@
 {
     int i;
     for(i = d.X.rows-1; i > 0; --i){
-        int index = rand()%i;
+        int index = rand_r(&data_seed)%i;
         float *swap = d.X.vals[index];
         d.X.vals[index] = d.X.vals[i];
         d.X.vals[i] = swap;

--
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