From 9ba0beb413d8b443376c36c1701a0dbce1e8d566 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Thu, 17 May 2018 14:02:42 +0000
Subject: [PATCH] Fixed resize of network for low resolution network like 128x128

---
 src/image.c |   27 ++++++++++++++++++---------
 1 files changed, 18 insertions(+), 9 deletions(-)

diff --git a/src/image.c b/src/image.c
index 467b95c..317b246 100644
--- a/src/image.c
+++ b/src/image.c
@@ -237,10 +237,12 @@
 {
 	int selected_num = 0;
 	detection_with_class* result_arr = calloc(dets_num, sizeof(detection_with_class));
-	for (int i = 0; i < dets_num; ++i) {
+	int i;
+	for (i = 0; i < dets_num; ++i) {
 		int best_class = -1;
 		float best_class_prob = thresh;
-		for (int j = 0; j < dets[i].classes; ++j) {
+		int j;
+		for (j = 0; j < dets[i].classes; ++j) {
 			if (dets[i].prob[j] > best_class_prob ) {
 				best_class = j;
 				best_class_prob = dets[i].prob[j];
@@ -280,17 +282,19 @@
 
 	// text output
 	qsort(selected_detections, selected_detections_num, sizeof(*selected_detections), compare_by_lefts);
-	for (int i = 0; i < selected_detections_num; ++i) {
+	int i;
+	for (i = 0; i < selected_detections_num; ++i) {
 		const int best_class = selected_detections[i].best_class;
 		printf("%s: %.0f%%", names[best_class],	selected_detections[i].det.prob[best_class] * 100);
 		if (ext_output)
-			printf("\t(left: %.0f\ttop: %.0f\tw: %0.f\th: %0.f)\n",
+			printf("\t(left: %.0f \ttop: %.0f \tw: %0.f \th: %0.f)\n",
 				(selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w,
 				(selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h,
 				selected_detections[i].det.bbox.w*im.w, selected_detections[i].det.bbox.h*im.h);
 		else
 			printf("\n");
-		for (int j = 0; j < classes; ++j) {
+		int j;
+		for (j = 0; j < classes; ++j) {
 			if (selected_detections[i].det.prob[j] > thresh && j != best_class) {
 				printf("%s: %.0f%%\n", names[j], selected_detections[i].det.prob[j] * 100);
 			}
@@ -299,7 +303,7 @@
 
 	// image output
 	qsort(selected_detections, selected_detections_num, sizeof(*selected_detections), compare_by_probs);
-	for (int i = 0; i < selected_detections_num; ++i) {
+	for (i = 0; i < selected_detections_num; ++i) {
 			int width = im.h * .006;
 			if (width < 1)
 				width = 1;
@@ -346,7 +350,8 @@
 			if (alphabet) {
 				char labelstr[4096] = { 0 };
 				strcat(labelstr, names[selected_detections[i].best_class]);
-				for (int j = 0; j < classes; ++j) {
+				int j;
+				for (j = 0; j < classes; ++j) {
 					if (selected_detections[i].det.prob[j] > thresh && j != selected_detections[i].best_class) {
 						strcat(labelstr, ", ");
 						strcat(labelstr, names[j]);
@@ -945,7 +950,7 @@
         sprintf(buff, "echo %s >> bad.list", filename);
         system(buff);
         return make_image(10,10,3);
-        //exit(0);
+        //exit(EXIT_FAILURE);
     }
     image out = ipl_to_image(src);
     cvReleaseImage(&src);
@@ -1686,7 +1691,11 @@
     unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
     if (!data) {
         fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
-        exit(0);
+		char buff[256];
+		sprintf(buff, "echo %s >> bad.list", filename);
+		system(buff);
+		return make_image(10, 10, 3);
+        //exit(EXIT_FAILURE);
     }
     if(channels) c = channels;
     int i,j,k;

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