| | |
| | | return lines; |
| | | } |
| | | |
| | | char **get_random_paths_indexes(char **paths, int n, int m, int *indexes) |
| | | { |
| | | char **random_paths = calloc(n, sizeof(char*)); |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | | int index = rand_r(&data_seed)%m; |
| | | indexes[i] = index; |
| | | random_paths[i] = paths[index]; |
| | | if(i == 0) printf("%s\n", paths[index]); |
| | | } |
| | | return random_paths; |
| | | } |
| | | |
| | | char **get_random_paths(char **paths, int n, int m) |
| | | { |
| | | char **random_paths = calloc(n, sizeof(char*)); |
| | |
| | | image crop = random_crop_image(im, min, max, size); |
| | | int flip = rand_r(&data_seed)%2; |
| | | if (flip) flip_image(crop); |
| | | /* |
| | | show_image(im, "orig"); |
| | | show_image(crop, "crop"); |
| | | cvWaitKey(0); |
| | | */ |
| | | free_image(im); |
| | | X.vals[i] = crop.data; |
| | | X.cols = crop.h*crop.w*crop.c; |
| | |
| | | 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; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.y = make_matrix(n, k*NUMCHARS); |
| | |
| | | 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; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.X.cols = 17100; |
| | |
| | | |
| | | void free_data(data d) |
| | | { |
| | | if(d.indexes){ |
| | | free(d.indexes); |
| | | } |
| | | if(!d.shallow){ |
| | | free_matrix(d.X); |
| | | free_matrix(d.y); |
| | |
| | | { |
| | | char **random_paths = get_random_paths(paths, n, m); |
| | | int i; |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | |
| | | d.X.rows = n; |
| | |
| | | { |
| | | if(m) paths = get_random_paths(paths, 2*n, m); |
| | | int i,j; |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | |
| | | d.X.rows = n; |
| | |
| | | int h = orig.h; |
| | | int w = orig.w; |
| | | |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | d.w = w; |
| | | d.h = h; |
| | |
| | | { |
| | | char **random_paths = get_random_paths(paths, n, m); |
| | | int i; |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | |
| | | d.X.rows = n; |
| | |
| | | *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); |
| | | } 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); |
| | | } 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){ |
| | |
| | | { |
| | | if(m) paths = get_random_paths(paths, n, m); |
| | | char **replace_paths = find_replace_paths(paths, n, ".png", "-label.png"); |
| | | data d; |
| | | data d = {0}; |
| | | 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); |
| | |
| | | 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; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.y = load_labels_paths(paths, n, labels, k); |
| | |
| | | return d; |
| | | } |
| | | |
| | | data load_data_study(char **paths, int n, int m, char **labels, int k, int min, int max, int size) |
| | | { |
| | | 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.y = load_labels_paths(paths, n, labels, k); |
| | | if(m) free(paths); |
| | | return d; |
| | | } |
| | | |
| | | data load_data_augment(char **paths, int n, int m, char **labels, int k, int min, int max, int size) |
| | | { |
| | | if(m) paths = get_random_paths(paths, n, m); |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | d.X = load_image_cropped_paths(paths, n, min, max, size); |
| | | d.y = load_labels_paths(paths, n, labels, k); |
| | |
| | | |
| | | data concat_data(data d1, data d2) |
| | | { |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 1; |
| | | d.X = concat_matrix(d1.X, d2.X); |
| | | d.y = concat_matrix(d1.y, d2.y); |
| | |
| | | |
| | | data load_categorical_data_csv(char *filename, int target, int k) |
| | | { |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | matrix X = csv_to_matrix(filename); |
| | | float *truth_1d = pop_column(&X, target); |
| | |
| | | |
| | | data load_cifar10_data(char *filename) |
| | | { |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | long i,j; |
| | | matrix X = make_matrix(10000, 3072); |
| | |
| | | } |
| | | } |
| | | |
| | | void smooth_data(data d) |
| | | { |
| | | int i, j; |
| | | float scale = 1. / d.y.cols; |
| | | float eps = .1; |
| | | for(i = 0; i < d.y.rows; ++i){ |
| | | for(j = 0; j < d.y.cols; ++j){ |
| | | d.y.vals[i][j] = eps * scale + (1-eps) * d.y.vals[i][j]; |
| | | } |
| | | } |
| | | } |
| | | |
| | | data load_all_cifar10() |
| | | { |
| | | data d; |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | int i,j,b; |
| | | matrix X = make_matrix(50000, 3072); |
| | |
| | | //normalize_data_rows(d); |
| | | //translate_data_rows(d, -128); |
| | | scale_data_rows(d, 1./255); |
| | | smooth_data(d); |
| | | return d; |
| | | } |
| | | |
| | | data load_go(char *filename) |
| | | { |
| | | FILE *fp = fopen(filename, "rb"); |
| | | matrix X = make_matrix(3363059, 361); |
| | | matrix y = make_matrix(3363059, 361); |
| | | int row, col; |
| | | |
| | | if(!fp) file_error(filename); |
| | | char *label; |
| | | int count = 0; |
| | | while((label = fgetl(fp))){ |
| | | int i; |
| | | if(count == X.rows){ |
| | | X = resize_matrix(X, count*2); |
| | | y = resize_matrix(y, count*2); |
| | | } |
| | | sscanf(label, "%d %d", &row, &col); |
| | | char *board = fgetl(fp); |
| | | |
| | | int index = row*19 + col; |
| | | y.vals[count][index] = 1; |
| | | |
| | | for(i = 0; i < 19*19; ++i){ |
| | | float val = 0; |
| | | if(board[i] == '1') val = 1; |
| | | else if(board[i] == '2') val = -1; |
| | | X.vals[count][i] = val; |
| | | } |
| | | ++count; |
| | | free(label); |
| | | free(board); |
| | | } |
| | | X = resize_matrix(X, count); |
| | | y = resize_matrix(y, count); |
| | | |
| | | data d = {0}; |
| | | d.shallow = 0; |
| | | d.X = X; |
| | | d.y = y; |
| | | |
| | | |
| | | fclose(fp); |
| | | |
| | | return d; |
| | | } |
| | | |
| | | |
| | | void randomize_data(data d) |
| | | { |
| | | int i; |
| | |
| | | } |
| | | } |
| | | |
| | | data get_random_data(data d, int num) |
| | | { |
| | | data r = {0}; |
| | | r.shallow = 1; |
| | | |
| | | r.X.rows = num; |
| | | r.y.rows = num; |
| | | |
| | | r.X.cols = d.X.cols; |
| | | r.y.cols = d.y.cols; |
| | | |
| | | r.X.vals = calloc(num, sizeof(float *)); |
| | | r.y.vals = calloc(num, sizeof(float *)); |
| | | |
| | | int i; |
| | | for(i = 0; i < num; ++i){ |
| | | int index = rand()%d.X.rows; |
| | | r.X.vals[i] = d.X.vals[index]; |
| | | r.y.vals[i] = d.y.vals[index]; |
| | | } |
| | | return r; |
| | | } |
| | | |
| | | data *split_data(data d, int part, int total) |
| | | { |
| | | data *split = calloc(2, sizeof(data)); |