| | |
| | | #include "data.h" |
| | | #include "utils.h" |
| | | #include "image.h" |
| | | #include "cuda.h" |
| | | |
| | | #include <stdio.h> |
| | | #include <stdlib.h> |
| | |
| | | |
| | | unsigned int data_seed; |
| | | |
| | | struct load_args{ |
| | | char **paths; |
| | | int n; |
| | | int m; |
| | | char **labels; |
| | | int k; |
| | | int h; |
| | | int w; |
| | | int nh; |
| | | int nw; |
| | | int num_boxes; |
| | | int classes; |
| | | int background; |
| | | data *d; |
| | | }; |
| | | |
| | | list *get_paths(char *filename) |
| | | { |
| | | char *path; |
| | |
| | | X.cols = 0; |
| | | |
| | | for(i = 0; i < n; ++i){ |
| | | image im = load_image(paths[i], w, h); |
| | | 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; |
| | | } |
| | | |
| | | typedef struct{ |
| | | int id; |
| | | float x,y,w,h; |
| | | float left, right, top, bottom; |
| | | } box_label; |
| | | |
| | | box_label *read_boxes(char *filename, int *n) |
| | | { |
| | | box_label *boxes = calloc(1, sizeof(box_label)); |
| | |
| | | } |
| | | } |
| | | |
| | | 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_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, ".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, "detection_images", "labels"); |
| | | char *labelpath = find_replace(path, "JPEGImages", "labels"); |
| | | labelpath = find_replace(labelpath, ".jpg", ".txt"); |
| | | labelpath = find_replace(labelpath, ".JPEG", ".txt"); |
| | | int count = 0; |
| | |
| | | w = (right - left); |
| | | h = (bot - top); |
| | | |
| | | if (x <= 0 || x >= 1 || y <= 0 || y >= 1) continue; |
| | | if (x <= 0 || x >= 1 || y <= 0 || y >= 1) continue; |
| | | |
| | | int i = (int)(x*num_boxes); |
| | | int j = (int)(y*num_boxes); |
| | | int col = (int)(x*num_boxes); |
| | | int row = (int)(y*num_boxes); |
| | | |
| | | x = x*num_boxes - i; |
| | | y = y*num_boxes - j; |
| | | 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; |
| | | */ |
| | | 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 = sqrt(w); |
| | | //h = sqrt(h); |
| | | w = pow(w, 1./2.); |
| | | h = pow(h, 1./2.); |
| | | } |
| | | |
| | | int index = (i+j*num_boxes)*(4+classes+background); |
| | | 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; |
| | |
| | | free(boxes); |
| | | } |
| | | |
| | | void fill_truth_localization(char *path, float *truth, int classes, int flip, float dx, float dy, float sx, float sy) |
| | | { |
| | | char *labelpath = find_replace(path, "objects", "object_labels"); |
| | | labelpath = find_replace(labelpath, ".jpg", ".txt"); |
| | | labelpath = find_replace(labelpath, ".JPEG", ".txt"); |
| | | int count; |
| | | box_label *boxes = read_boxes(labelpath, &count); |
| | | box_label box = boxes[0]; |
| | | free(boxes); |
| | | float x,y,w,h; |
| | | float left, top, right, bot; |
| | | int id; |
| | | int i; |
| | | for(i = 0; i < count; ++i){ |
| | | left = box.left * sx - dx; |
| | | right = box.right * sx - dx; |
| | | top = box.top * sy - dy; |
| | | bot = box.bottom* sy - dy; |
| | | id = box.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; |
| | | |
| | | w = constrain(0, 1, w); |
| | | h = constrain(0, 1, h); |
| | | if (w == 0 || h == 0) continue; |
| | | |
| | | int index = id*4; |
| | | truth[index++] = x; |
| | | truth[index++] = y; |
| | | truth[index++] = w; |
| | | truth[index++] = h; |
| | | } |
| | | } |
| | | |
| | | |
| | | #define NUMCHARS 37 |
| | | |
| | | void print_letters(float *pred, int n) |
| | |
| | | ++count; |
| | | } |
| | | } |
| | | if(count != 1) printf("%d, %s\n", count, path); |
| | | 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) |
| | |
| | | } |
| | | } |
| | | |
| | | data load_data_localization(int n, char **paths, int m, int classes, int w, int h) |
| | | data load_data_region(int n, char **paths, int m, int w, int h, int size, int classes, float jitter) |
| | | { |
| | | char **random_paths = get_random_paths(paths, n, m); |
| | | int i; |
| | |
| | | d.X.vals = calloc(d.X.rows, sizeof(float*)); |
| | | d.X.cols = h*w*3; |
| | | |
| | | int k = (4*classes); |
| | | 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 = 32; |
| | | int dh = 32; |
| | | int dw = (ow*jitter); |
| | | int dh = (oh*jitter); |
| | | |
| | | int pleft = (rand_uniform() * dw); |
| | | int pright = (rand_uniform() * dw); |
| | | int ptop = (rand_uniform() * dh); |
| | | int pbot = (rand_uniform() * dh); |
| | | 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; |
| | |
| | | |
| | | 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, w, h); |
| | | free_image(cropped); |
| | | if(flip) flip_image(sized); |
| | | d.X.vals[i] = sized.data; |
| | | |
| | | fill_truth_localization(random_paths[i], d.y.vals[i], classes, flip, dx, dy, 1./sx, 1./sy); |
| | | 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_detection_jitter_random(int n, char **paths, int m, int classes, int w, int h, int num_boxes, int background) |
| | | data load_data_compare(int n, char **paths, int m, int classes, int w, int h) |
| | | { |
| | | 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){ |
| | | 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); |
| | | } |
| | | if(m) free(paths); |
| | | 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; |
| | |
| | | |
| | | 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, w, h); |
| | | free_image(cropped); |
| | | 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_localization_thread(void *ptr) |
| | | 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)); |
| | | struct load_args a = *(struct load_args*)ptr; |
| | | *a.d = load_data_localization(a.n, a.paths, a.m, a.classes, a.w, a.h); |
| | | 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 == 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_localization_thread(int n, char **paths, int m, int classes, int w, int h, data *d) |
| | | pthread_t load_data_in_thread(load_args args) |
| | | { |
| | | pthread_t thread; |
| | | struct load_args *args = calloc(1, sizeof(struct load_args)); |
| | | args->n = n; |
| | | args->paths = paths; |
| | | args->m = m; |
| | | args->w = w; |
| | | args->h = h; |
| | | args->classes = classes; |
| | | args->d = d; |
| | | if(pthread_create(&thread, 0, load_localization_thread, args)) { |
| | | 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; |
| | | } |
| | | |
| | | void *load_detection_thread(void *ptr) |
| | | { |
| | | 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.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 w, int h, int nh, int nw, int background, data *d) |
| | | { |
| | | pthread_t thread; |
| | | struct load_args *args = calloc(1, sizeof(struct load_args)); |
| | | args->n = n; |
| | | args->paths = paths; |
| | | args->m = m; |
| | | args->h = h; |
| | | args->w = w; |
| | | args->nh = nh; |
| | | args->nw = nw; |
| | | args->num_boxes = nw; |
| | | args->classes = classes; |
| | | args->background = background; |
| | | args->d = d; |
| | | if(pthread_create(&thread, 0, load_detection_thread, args)) { |
| | | error("Thread creation failed"); |
| | | } |
| | | return thread; |
| | | } |
| | | |
| | | data load_data_writing(char **paths, int n, int m, int w, int h) |
| | | 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, w/8, h/8); |
| | | 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]); |
| | |
| | | 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.w, a.h); |
| | | free(ptr); |
| | | return 0; |
| | | } |
| | | |
| | | 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)); |
| | | args->n = n; |
| | | args->paths = paths; |
| | | args->m = m; |
| | | args->labels = labels; |
| | | args->k = k; |
| | | args->h = h; |
| | | args->w = w; |
| | | args->d = d; |
| | | if(pthread_create(&thread, 0, load_in_thread, args)) { |
| | | error("Thread creation failed"); |
| | | } |
| | | return thread; |
| | | } |
| | | |
| | | matrix concat_matrix(matrix m1, matrix m2) |
| | | { |
| | | int i, count = 0; |