mirror of https://github.com/AlexeyAB/darknet.git
Fixed mosaic=1 cutmix=1 memory leak for Training Classifier
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parent
35a3870979
commit
b8605bda1e
11
src/data.c
11
src/data.c
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@ -1507,7 +1507,7 @@ data load_data_super(char **paths, int n, int m, int w, int h, int scale)
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return d;
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}
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data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int mixup, int use_blur, int show_imgs, float label_smooth_eps)
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data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int use_mixup, int use_blur, int show_imgs, float label_smooth_eps)
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{
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char **paths_stored = paths;
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if(m) paths = get_random_paths(paths, n, m);
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@ -1516,7 +1516,7 @@ data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *h
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d.X = load_image_augment_paths(paths, n, use_flip, min, max, w, h, angle, aspect, hue, saturation, exposure);
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d.y = load_labels_paths(paths, n, labels, k, hierarchy, label_smooth_eps);
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if (mixup && rand_int(0, 1)) {
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if (use_mixup && rand_int(0, 1)) {
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char **paths_mix = get_random_paths(paths_stored, n, m);
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data d2 = { 0 };
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d2.shallow = 0;
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@ -1528,7 +1528,7 @@ data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *h
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d3.shallow = 0;
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data d4 = { 0 };
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d4.shallow = 0;
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if (mixup >= 3) {
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if (use_mixup >= 3) {
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char **paths_mix3 = get_random_paths(paths_stored, n, m);
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d3.X = load_image_augment_paths(paths_mix3, n, use_flip, min, max, w, h, angle, aspect, hue, saturation, exposure);
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d3.y = load_labels_paths(paths_mix3, n, labels, k, hierarchy, label_smooth_eps);
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@ -1545,7 +1545,8 @@ data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *h
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int i, j;
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for (i = 0; i < d2.X.rows; ++i) {
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if (mixup == 4) mixup = rand_int(2, 3); // alternate CutMix and Mosaic
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int mixup = use_mixup;
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if (use_mixup == 4) mixup = rand_int(2, 3); // alternate CutMix and Mosaic
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// MixUp -----------------------------------
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if (mixup == 1) {
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@ -1637,7 +1638,7 @@ data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *h
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free_data(d2);
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if (mixup == 3) {
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if (use_mixup >= 3) {
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free_data(d3);
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free_data(d4);
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}
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@ -91,7 +91,7 @@ data load_data_detection(int n, char **paths, int m, int w, int h, int c, int bo
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data load_data_tag(char **paths, int n, int m, int k, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure);
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matrix load_image_augment_paths(char **paths, int n, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure);
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data load_data_super(char **paths, int n, int m, int w, int h, int scale);
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data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int mixup, int use_blur, int show_imgs, float label_smooth_eps);
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data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int use_mixup, int use_blur, int show_imgs, float label_smooth_eps);
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data load_go(char *filename);
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box_label *read_boxes(char *filename, int *n);
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