From fc496d52bf22a0bb257300d3c79be9cd80e722cb Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Thu, 12 Apr 2018 19:32:57 +0000
Subject: [PATCH] Yolo can be used from Python 2.x using /darknet.py on Linux or darknet/x64/darknet.py on Windows
---
src/coco.c | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/src/coco.c b/src/coco.c
index 814b34c..c95e30d 100644
--- a/src/coco.c
+++ b/src/coco.c
@@ -216,7 +216,7 @@
int w = val[t].w;
int h = val[t].h;
get_detection_boxes(l, w, h, thresh, probs, boxes, 0);
- if (nms) do_nms_sort(boxes, probs, side*side*l.n, classes, iou_thresh);
+ if (nms) do_nms_sort_v2(boxes, probs, side*side*l.n, classes, iou_thresh);
print_cocos(fp, image_id, boxes, probs, side*side*l.n, classes, w, h);
free_image(val[t]);
free_image(val_resized[t]);
@@ -351,7 +351,7 @@
network_predict(net, X);
printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
get_detection_boxes(l, 1, 1, thresh, probs, boxes, 0);
- if (nms) do_nms_sort(boxes, probs, l.side*l.side*l.n, l.classes, nms);
+ if (nms) do_nms_sort_v2(boxes, probs, l.side*l.side*l.n, l.classes, nms);
draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, coco_classes, alphabet, 80);
save_image(im, "prediction");
show_image(im, "predictions");
--
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