| | |
| | | return X; |
| | | } |
| | | |
| | | 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) |
| | | matrix load_image_augment_paths(char **paths, int n, int use_flip, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure) |
| | | { |
| | | int i; |
| | | matrix X; |
| | |
| | | for(i = 0; i < n; ++i){ |
| | | image im = load_image_color(paths[i], 0, 0); |
| | | image crop = random_augment_image(im, angle, aspect, min, max, size); |
| | | int flip = random_gen()%2; |
| | | if (flip) flip_image(crop); |
| | | int flip = use_flip ? random_gen() % 2 : 0; |
| | | if (flip) |
| | | flip_image(crop); |
| | | random_distort_image(crop, hue, saturation, exposure); |
| | | |
| | | /* |
| | |
| | | |
| | | #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) |
| | | data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, int use_flip, float jitter, float hue, float saturation, float exposure, int small_object) |
| | | { |
| | | char **random_paths = get_random_paths(paths, n, m); |
| | | int i; |
| | |
| | | float sx = (float)swidth / ow; |
| | | float sy = (float)sheight / oh; |
| | | |
| | | int flip = random_gen()%2; |
| | | int flip = use_flip ? random_gen()%2 : 0; |
| | | |
| | | float dx = ((float)pleft/ow)/sx; |
| | | float dy = ((float)ptop /oh)/sy; |
| | |
| | | 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) |
| | | data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, int use_flip, float jitter, float hue, float saturation, float exposure, int small_object) |
| | | { |
| | | char **random_paths = get_random_paths(paths, n, m); |
| | | int i; |
| | |
| | | float sx = (float)swidth / ow; |
| | | float sy = (float)sheight / oh; |
| | | |
| | | int flip = random_gen() % 2; |
| | | int flip = use_flip ? random_gen() % 2 : 0; |
| | | image cropped = crop_image(orig, pleft, ptop, swidth, sheight); |
| | | |
| | | float dx = ((float)pleft / ow) / sx; |
| | |
| | | if (a.type == OLD_CLASSIFICATION_DATA){ |
| | | *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.hierarchy, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure); |
| | | *a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.hierarchy, a.flip, 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 == WRITING_DATA){ |
| | |
| | | } 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.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.hue, a.saturation, a.exposure, a.small_object); |
| | | *a.d = load_data_detection(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.flip, 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){ |
| | |
| | | *(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.aspect, a.hue, a.saturation, a.exposure); |
| | | *a.d = load_data_tag(a.paths, a.n, a.m, a.classes, a.flip, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure); |
| | | } |
| | | free(ptr); |
| | | return 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.X = load_image_augment_paths(paths, n, flip, min, max, size, angle, aspect, hue, saturation, exposure); |
| | | d.y = load_labels_paths(paths, n, labels, k); |
| | | if(m) free(paths); |
| | | return d; |
| | |
| | | return d; |
| | | } |
| | | |
| | | 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) |
| | | data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, 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, aspect, hue, saturation, exposure); |
| | | d.X = load_image_augment_paths(paths, n, use_flip, 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 aspect, float hue, float saturation, float exposure) |
| | | data load_data_tag(char **paths, int n, int m, int k, int use_flip, 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, aspect, hue, saturation, exposure); |
| | | d.X = load_image_augment_paths(paths, n, use_flip, min, max, size, angle, aspect, hue, saturation, exposure); |
| | | d.y = load_tags_paths(paths, n, k); |
| | | if(m) free(paths); |
| | | return d; |