| | |
| | | #include <stdlib.h> |
| | | #include <string.h> |
| | | |
| | | unsigned int data_seed; |
| | | |
| | | struct load_args{ |
| | | char **paths; |
| | | int n; |
| | |
| | | char **random_paths = calloc(n, sizeof(char*)); |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | | int index = rand()%m; |
| | | int index = rand_r(&data_seed)%m; |
| | | random_paths[i] = paths[index]; |
| | | if(i == 0) printf("%s\n", paths[index]); |
| | | } |
| | | return random_paths; |
| | | } |
| | | |
| | | matrix load_image_paths(char **paths, int n, int h, int w) |
| | | matrix load_image_paths(char **paths, int n, int w, int h) |
| | | { |
| | | int i; |
| | | matrix X; |
| | |
| | | X.cols = 0; |
| | | |
| | | for(i = 0; i < n; ++i){ |
| | | image im = load_image_color(paths[i], h, w); |
| | | image im = load_image_color(paths[i], w, h); |
| | | X.vals[i] = im.data; |
| | | X.cols = im.h*im.w*im.c; |
| | | } |
| | |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | | box swap = b[i]; |
| | | int index = rand()%n; |
| | | int index = rand_r(&data_seed)%n; |
| | | b[i] = b[index]; |
| | | b[index] = swap; |
| | | } |
| | |
| | | |
| | | 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, "VOC2012/JPEGImages", "labels"); |
| | | char *labelpath = find_replace(path, "detection_images", "labels"); |
| | | labelpath = find_replace(labelpath, ".jpg", ".txt"); |
| | | labelpath = find_replace(labelpath, ".JPEG", ".txt"); |
| | | int count = 0; |
| | | box *boxes = read_boxes(labelpath, &count); |
| | | randomize_boxes(boxes, count); |
| | |
| | | } |
| | | } |
| | | |
| | | data load_data_captcha(char **paths, int n, int m, int k, int h, int w) |
| | | 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, h, w); |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.y = make_matrix(n, k*NUMCHARS); |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | |
| | | return d; |
| | | } |
| | | |
| | | data load_data_captcha_encode(char **paths, int n, int m, int h, int w) |
| | | 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, h, w); |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.X.cols = 17100; |
| | | d.y = d.X; |
| | | if(m) free(paths); |
| | |
| | | return y; |
| | | } |
| | | |
| | | data load_data_image_pathfile(char *filename, char **labels, int k, int h, int w) |
| | | { |
| | | list *plist = get_paths(filename); |
| | | char **paths = (char **)list_to_array(plist); |
| | | int n = plist->size; |
| | | data d; |
| | | d.shallow = 0; |
| | | d.X = load_image_paths(paths, n, h, w); |
| | | d.y = load_labels_paths(paths, n, labels, k); |
| | | free_list_contents(plist); |
| | | free_list(plist); |
| | | free(paths); |
| | | return d; |
| | | } |
| | | |
| | | char **get_labels(char *filename) |
| | | { |
| | | list *plist = get_paths(filename); |
| | |
| | | } |
| | | } |
| | | |
| | | data load_data_detection_jitter_random(int n, char **paths, int m, int classes, int h, int w, int num_boxes, int background) |
| | | data load_data_detection_jitter_random(int n, char **paths, int m, int classes, int w, int h, int num_boxes, int background) |
| | | { |
| | | //float minscale = 0.85; |
| | | //float maxscale = 1.15; |
| | | char **random_paths = get_random_paths(paths, n, m); |
| | | int i; |
| | | data d; |
| | |
| | | d.y = make_matrix(n, k); |
| | | for(i = 0; i < n; ++i){ |
| | | image orig = load_image_color(random_paths[i], 0, 0); |
| | | float exposure = rand_uniform()+1; |
| | | if(rand_uniform() > .5) exposure = 1/exposure; |
| | | |
| | | float saturation = rand_uniform()+1; |
| | | if(rand_uniform() > .5) saturation = 1/saturation; |
| | | |
| | | int oh = orig.h; |
| | | int ow = orig.w; |
| | | int pleft = (rand_uniform() * 64. - 32.); |
| | | int pright = (rand_uniform() * 64. - 32.); |
| | | int ptop = (rand_uniform() * 64. - 32.); |
| | | int pbot = (rand_uniform() * 64. - 32.); |
| | | |
| | | 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()%2; |
| | | image cropped = crop_image(orig, ptop, pleft, sheight, swidth); |
| | | 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; |
| | | |
| | | free_image(orig); |
| | | image sized = resize_image(cropped, h, w); |
| | | image sized = resize_image(cropped, w, h); |
| | | free_image(cropped); |
| | | if(flip) flip_image(sized); |
| | | d.X.vals[i] = sized.data; |
| | |
| | | |
| | | void *load_detection_thread(void *ptr) |
| | | { |
| | | printf("Loading data: %d\n", rand()); |
| | | printf("Loading data: %d\n", rand_r(&data_seed)); |
| | | struct load_args a = *(struct load_args*)ptr; |
| | | *a.d = load_data_detection_jitter_random(a.n, a.paths, a.m, a.classes, a.h, a.w, a.num_boxes, a.background); |
| | | translate_data_rows(*a.d, -128); |
| | | scale_data_rows(*a.d, 1./128); |
| | | *a.d = load_data_detection_jitter_random(a.n, a.paths, a.m, a.classes, a.w, a.h, a.num_boxes, a.background); |
| | | free(ptr); |
| | | return 0; |
| | | } |
| | | |
| | | pthread_t load_data_detection_thread(int n, char **paths, int m, int classes, int h, int w, int nh, int nw, int background, data *d) |
| | | pthread_t load_data_detection_thread(int n, char **paths, int m, int classes, int w, int h, int nh, int nw, int background, data *d) |
| | | { |
| | | pthread_t thread; |
| | | struct load_args *args = calloc(1, sizeof(struct load_args)); |
| | |
| | | return thread; |
| | | } |
| | | |
| | | data load_data(char **paths, int n, int m, char **labels, int k, int h, int w) |
| | | 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, h, w); |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.y = load_labels_paths(paths, n, labels, k); |
| | | if(m) free(paths); |
| | | return d; |
| | |
| | | void *load_in_thread(void *ptr) |
| | | { |
| | | struct load_args a = *(struct load_args*)ptr; |
| | | *a.d = load_data(a.paths, a.n, a.m, a.labels, a.k, a.h, a.w); |
| | | translate_data_rows(*a.d, -128); |
| | | scale_data_rows(*a.d, 1./128); |
| | | *a.d = load_data(a.paths, a.n, a.m, a.labels, a.k, a.w, a.h); |
| | | free(ptr); |
| | | return 0; |
| | | } |
| | | |
| | | pthread_t load_data_thread(char **paths, int n, int m, char **labels, int k, int h, int w, data *d) |
| | | pthread_t load_data_thread(char **paths, int n, int m, char **labels, int k, int w, int h, data *d) |
| | | { |
| | | pthread_t thread; |
| | | struct load_args *args = calloc(1, sizeof(struct load_args)); |
| | |
| | | X.vals[i][j] = (double)bytes[j+1]; |
| | | } |
| | | } |
| | | translate_data_rows(d, -144); |
| | | translate_data_rows(d, -128); |
| | | scale_data_rows(d, 1./128); |
| | | //normalize_data_rows(d); |
| | | fclose(fp); |
| | |
| | | { |
| | | int j; |
| | | for(j = 0; j < n; ++j){ |
| | | int index = rand()%d.X.rows; |
| | | 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)); |
| | | } |
| | |
| | | fclose(fp); |
| | | } |
| | | //normalize_data_rows(d); |
| | | translate_data_rows(d, -144); |
| | | translate_data_rows(d, -128); |
| | | scale_data_rows(d, 1./128); |
| | | return d; |
| | | } |
| | |
| | | { |
| | | 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; |