From a723e1c62a27aeb39aaf7fcdeb3beb4e89fba32d Mon Sep 17 00:00:00 2001
From: Alexey <AlexeyAB@users.noreply.github.com>
Date: Wed, 15 Aug 2018 20:52:09 +0000
Subject: [PATCH] Merge pull request #766 from HotChick91/AlexeyAB-mask

---
 src/data.c |  303 +++++++++++++++++++++++++++++---------------------
 1 files changed, 175 insertions(+), 128 deletions(-)

diff --git a/src/data.c b/src/data.c
index 1bb333a..2a0a7e9 100644
--- a/src/data.c
+++ b/src/data.c
@@ -44,12 +44,15 @@
     char **random_paths = calloc(n, sizeof(char*));
     int i;
     pthread_mutex_lock(&mutex);
-	//printf("n = %d \n", n);
-    for(i = 0; i < n; ++i){		
-        int index = random_gen() % m;
-        random_paths[i] = paths[index];
-        //if(i == 0) printf("%s\n", paths[index]);
-		//printf("grp: %s\n", paths[index]);
+    //printf("n = %d \n", n);
+    for(i = 0; i < n; ++i){
+        do {
+            int index = random_gen() % m;
+            random_paths[i] = paths[index];
+            //if(i == 0) printf("%s\n", paths[index]);
+            //printf("grp: %s\n", paths[index]);
+            if (strlen(random_paths[i]) <= 4) printf(" Very small path to the image: %s \n", random_paths[i]);
+        } while (strlen(random_paths[i]) == 0);
     }
     pthread_mutex_unlock(&mutex);
     return random_paths;
@@ -104,7 +107,7 @@
     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;
@@ -115,8 +118,9 @@
     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);
 
         /*
@@ -136,7 +140,18 @@
 {
     box_label *boxes = calloc(1, sizeof(box_label));
     FILE *file = fopen(filename, "r");
-    if(!file) file_error(filename);
+    if (!file) {
+        printf("Can't open label file. (This can be normal only if you use MSCOCO) \n");
+        //file_error(filename);
+        FILE* fw = fopen("bad.list", "a");
+        fwrite(filename, sizeof(char), strlen(filename), fw);
+        char *new_line = "\n";
+        fwrite(new_line, sizeof(char), strlen(new_line), fw);
+        fclose(fw);
+
+        *n = 0;
+        return boxes;
+    }
     float x, y, h, w;
     int id;
     int count = 0;
@@ -209,11 +224,7 @@
 void fill_truth_swag(char *path, float *truth, int classes, int flip, float dx, float dy, float sx, float sy)
 {
     char labelpath[4096];
-    find_replace(path, "images", "labels", labelpath);
-    find_replace(labelpath, "JPEGImages", "labels", labelpath);
-    find_replace(labelpath, ".jpg", ".txt", labelpath);
-    find_replace(labelpath, ".JPG", ".txt", labelpath);
-    find_replace(labelpath, ".JPEG", ".txt", labelpath);
+    replace_image_to_label(path, labelpath);
 
     int count = 0;
     box_label *boxes = read_boxes(labelpath, &count);
@@ -247,13 +258,8 @@
 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[4096];
-    find_replace(path, "images", "labels", labelpath);
-    find_replace(labelpath, "JPEGImages", "labels", labelpath);
+    replace_image_to_label(path, labelpath);
 
-    find_replace(labelpath, ".jpg", ".txt", labelpath);
-    find_replace(labelpath, ".png", ".txt", labelpath);
-    find_replace(labelpath, ".JPG", ".txt", labelpath);
-    find_replace(labelpath, ".JPEG", ".txt", labelpath);
     int count = 0;
     box_label *boxes = read_boxes(labelpath, &count);
     randomize_boxes(boxes, count);
@@ -292,45 +298,78 @@
     free(boxes);
 }
 
-void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy, 
-	int small_object, int net_w, int net_h)
+void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy,
+    int small_object, int net_w, int net_h)
 {
     char labelpath[4096];
-    find_replace(path, "images", "labels", labelpath);
-    find_replace(labelpath, "JPEGImages", "labels", labelpath);
+    replace_image_to_label(path, labelpath);
 
-    find_replace(labelpath, "raw", "labels", labelpath);
-    find_replace(labelpath, ".jpg", ".txt", labelpath);
-    find_replace(labelpath, ".png", ".txt", labelpath);
-    find_replace(labelpath, ".JPG", ".txt", labelpath);
-    find_replace(labelpath, ".JPEG", ".txt", labelpath);
     int count = 0;
-	int i;
+    int i;
     box_label *boxes = read_boxes(labelpath, &count);
-	if (small_object == 1) {
-		float lowest_w = 1.F / net_w;
-		float lowest_h = 1.F / net_h;
-		printf(" lowest_w = %f, lowest_h = %f \n", lowest_w, lowest_h);
-		for (i = 0; i < count; ++i) {
-			if (boxes[i].w < lowest_w) boxes[i].w = lowest_w;
-			if (boxes[i].h < lowest_h) boxes[i].h = lowest_h;
-		}
-	}
+    float lowest_w = 1.F / net_w;
+    float lowest_h = 1.F / net_h;
+    if (small_object == 1) {
+        for (i = 0; i < count; ++i) {
+            if (boxes[i].w < lowest_w) boxes[i].w = lowest_w;
+            if (boxes[i].h < lowest_h) boxes[i].h = lowest_h;
+        }
+    }
     randomize_boxes(boxes, count);
     correct_boxes(boxes, count, dx, dy, sx, sy, flip);
-    if(count > num_boxes) count = num_boxes;
-    float x,y,w,h;
+    if (count > num_boxes) count = num_boxes;
+    float x, y, w, h;
     int id;
 
     for (i = 0; i < count; ++i) {
-        x =  boxes[i].x;
-        y =  boxes[i].y;
-        w =  boxes[i].w;
-        h =  boxes[i].h;
+        x = boxes[i].x;
+        y = boxes[i].y;
+        w = boxes[i].w;
+        h = boxes[i].h;
         id = boxes[i].id;
 
-		// not detect small objects
-		if ((w < 0.001F || h < 0.001F)) continue;
+        // not detect small objects
+        //if ((w < 0.001F || h < 0.001F)) continue;
+        // if truth (box for object) is smaller than 1x1 pix
+        char buff[256];
+        if (id >= classes) {
+            printf("\n Wrong annotation: class_id = %d. But class_id should be [from 0 to %d] \n", id, classes);
+            sprintf(buff, "echo %s \"Wrong annotation: class_id = %d. But class_id should be [from 0 to %d]\" >> bad_label.list", labelpath, id, classes);
+            system(buff);
+            getchar();
+            continue;
+        }
+        if ((w < lowest_w || h < lowest_h)) {
+            //sprintf(buff, "echo %s \"Very small object: w < lowest_w OR h < lowest_h\" >> bad_label.list", labelpath);
+            //system(buff);
+            continue;
+        }
+        if (x == 999999 || y == 999999) {
+            printf("\n Wrong annotation: x = 0, y = 0 \n");
+            sprintf(buff, "echo %s \"Wrong annotation: x = 0 or y = 0\" >> bad_label.list", labelpath);
+            system(buff);
+            continue;
+        }
+        if (x <= 0 || x > 1 || y <= 0 || y > 1) {
+            printf("\n Wrong annotation: x = %f, y = %f \n", x, y);
+            sprintf(buff, "echo %s \"Wrong annotation: x = %f, y = %f\" >> bad_label.list", labelpath, x, y);
+            system(buff);
+            continue;
+        }
+        if (w > 1) {
+            printf("\n Wrong annotation: w = %f \n", w);
+            sprintf(buff, "echo %s \"Wrong annotation: w = %f\" >> bad_label.list", labelpath, w);
+            system(buff);
+            w = 1;
+        }
+        if (h > 1) {
+            printf("\n Wrong annotation: h = %f \n", h);
+            sprintf(buff, "echo %s \"Wrong annotation: h = %f\" >> bad_label.list", labelpath, h);
+            system(buff);
+            h = 1;
+        }
+        if (x == 0) x += lowest_w;
+        if (y == 0) y += lowest_h;
 
         truth[i*5+0] = x;
         truth[i*5+1] = y;
@@ -482,14 +521,20 @@
     return y;
 }
 
-char **get_labels(char *filename)
+char **get_labels_custom(char *filename, int *size)
 {
     list *plist = get_paths(filename);
+    if(size) *size = plist->size;
     char **labels = (char **)list_to_array(plist);
     free_list(plist);
     return labels;
 }
 
+char **get_labels(char *filename)
+{
+    return get_labels_custom(filename, NULL);
+}
+
 void free_data(data d)
 {
     if(!d.shallow){
@@ -683,8 +728,9 @@
 
 #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 c, int boxes, int classes, int use_flip, float jitter, float hue, float saturation, float exposure, int small_object)
 {
+    c = c ? c : 3;
     char **random_paths = get_random_paths(paths, n, m);
     int i;
     data d = {0};
@@ -692,26 +738,26 @@
 
     d.X.rows = n;
     d.X.vals = calloc(d.X.rows, sizeof(float*));
-    d.X.cols = h*w*3;
+    d.X.cols = h*w*c;
 
     d.y = make_matrix(n, 5*boxes);
     for(i = 0; i < n; ++i){
-		const char *filename = random_paths[i];
+        const char *filename = random_paths[i];
 
-		int flag = 1;
-		IplImage *src;
-		if ((src = cvLoadImage(filename, flag)) == 0)
-		{
-			fprintf(stderr, "Cannot load image \"%s\"\n", filename);
-			char buff[256];
-			sprintf(buff, "echo %s >> bad.list", filename);
-			system(buff);
-			continue;
-			//exit(0);
-		}
+        int flag = (c >= 3);
+        IplImage *src;
+        if ((src = cvLoadImage(filename, flag)) == 0)
+        {
+            fprintf(stderr, "Cannot load image \"%s\"\n", filename);
+            char buff[256];
+            sprintf(buff, "echo %s >> bad.list", filename);
+            system(buff);
+            continue;
+            //exit(0);
+        }
 
-		int oh = src->height;
-		int ow = src->width;
+        int oh = src->height;
+        int ow = src->width;
 
         int dw = (ow*jitter);
         int dh = (oh*jitter);
@@ -727,85 +773,86 @@
         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;
 
-		float dhue = rand_uniform_strong(-hue, hue);
-		float dsat = rand_scale(saturation);
-		float dexp = rand_scale(exposure);
+        float dhue = rand_uniform_strong(-hue, hue);
+        float dsat = rand_scale(saturation);
+        float dexp = rand_scale(exposure);
 
-		image ai = image_data_augmentation(src, w, h, pleft, ptop, swidth, sheight, flip, jitter, dhue, dsat, dexp);
-		d.X.vals[i] = ai.data;
-		
-		//show_image(ai, "aug");
-		//cvWaitKey(0);
+        image ai = image_data_augmentation(src, w, h, pleft, ptop, swidth, sheight, flip, jitter, dhue, dsat, dexp);
+        d.X.vals[i] = ai.data;
+        
+        //show_image(ai, "aug");
+        //cvWaitKey(0);
 
         fill_truth_detection(filename, boxes, d.y.vals[i], classes, flip, dx, dy, 1./sx, 1./sy, small_object, w, h);
 
-		cvReleaseImage(&src);
+        cvReleaseImage(&src);
     }
     free(random_paths);
     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)
+#else    // OPENCV
+data load_data_detection(int n, char **paths, int m, int w, int h, int c, 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;
-	data d = { 0 };
-	d.shallow = 0;
+    c = c ? c : 3;
+    char **random_paths = get_random_paths(paths, n, m);
+    int i;
+    data d = { 0 };
+    d.shallow = 0;
 
-	d.X.rows = n;
-	d.X.vals = calloc(d.X.rows, sizeof(float*));
-	d.X.cols = h*w * 3;
+    d.X.rows = n;
+    d.X.vals = calloc(d.X.rows, sizeof(float*));
+    d.X.cols = h*w*c;
 
-	d.y = make_matrix(n, 5 * boxes);
-	for (i = 0; i < n; ++i) {
-		image orig = load_image_color(random_paths[i], 0, 0);
+    d.y = make_matrix(n, 5 * boxes);
+    for (i = 0; i < n; ++i) {
+        image orig = load_image(random_paths[i], 0, 0, c);
 
-		int oh = orig.h;
-		int ow = orig.w;
+        int oh = orig.h;
+        int ow = orig.w;
 
-		int dw = (ow*jitter);
-		int dh = (oh*jitter);
+        int dw = (ow*jitter);
+        int dh = (oh*jitter);
 
-		int pleft = rand_uniform_strong(-dw, dw);
-		int pright = rand_uniform_strong(-dw, dw);
-		int ptop = rand_uniform_strong(-dh, dh);
-		int pbot = rand_uniform_strong(-dh, dh);
+        int pleft = rand_uniform_strong(-dw, dw);
+        int pright = rand_uniform_strong(-dw, dw);
+        int ptop = rand_uniform_strong(-dh, dh);
+        int pbot = rand_uniform_strong(-dh, dh);
 
-		int swidth = ow - pleft - pright;
-		int sheight = oh - ptop - pbot;
+        int swidth = ow - pleft - pright;
+        int sheight = oh - ptop - pbot;
 
-		float sx = (float)swidth / ow;
-		float sy = (float)sheight / oh;
+        float sx = (float)swidth / ow;
+        float sy = (float)sheight / oh;
 
-		int flip = random_gen() % 2;
-		image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
+        int flip = use_flip ? random_gen() % 2 : 0;
+        image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
 
-		float dx = ((float)pleft / ow) / sx;
-		float dy = ((float)ptop / oh) / sy;
+        float dx = ((float)pleft / ow) / sx;
+        float dy = ((float)ptop / oh) / sy;
 
-		image sized = resize_image(cropped, w, h);
-		if (flip) flip_image(sized);
-		random_distort_image(sized, hue, saturation, exposure);
-		d.X.vals[i] = sized.data;
+        image sized = resize_image(cropped, w, h);
+        if (flip) flip_image(sized);
+        random_distort_image(sized, hue, saturation, exposure);
+        d.X.vals[i] = sized.data;
 
-		fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, dx, dy, 1. / sx, 1. / sy, small_object, w, h);
+        fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, dx, dy, 1. / sx, 1. / sy, small_object, w, h);
 
-		free_image(orig);
-		free_image(cropped);
-	}
-	free(random_paths);
-	return d;
+        free_image(orig);
+        free_image(cropped);
+    }
+    free(random_paths);
+    return d;
 }
-#endif	// OPENCV
+#endif    // OPENCV
 
 void *load_thread(void *ptr)
 {
-	//srand(time(0));
+    //srand(time(0));
     //printf("Loading data: %d\n", random_gen());
     load_args a = *(struct load_args*)ptr;
     if(a.exposure == 0) a.exposure = 1;
@@ -815,7 +862,7 @@
     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){
@@ -823,19 +870,19 @@
     } 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.c, 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.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.im) = load_image(a.path, 0, 0, a.c);
         *(a.resized) = resize_image(*(a.im), a.w, a.h);
-	}else if (a.type == LETTERBOX_DATA) {
-		*(a.im) = load_image_color(a.path, 0, 0);
-		*(a.resized) = letterbox_image(*(a.im), a.w, a.h);
+    }else if (a.type == LETTERBOX_DATA) {
+        *(a.im) = load_image(a.path, 0, 0, a.c);
+        *(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;
@@ -852,7 +899,7 @@
 
 void *load_threads(void *ptr)
 {
-	//srand(time(0));
+    //srand(time(0));
     int i;
     load_args args = *(load_args *)ptr;
     if (args.threads == 0) args.threads = 1;
@@ -922,7 +969,7 @@
    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;
@@ -959,25 +1006,25 @@
     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;

--
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