From 2a9f7e44ce1b73d3d56ef83f83e94f074ecac3f9 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 06 Apr 2018 17:34:38 +0000
Subject: [PATCH] Added automatic AVX support - speedup +20% on CPU x86_64 Intel Skylake
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README.md | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 346a4ef..55c36a5 100644
--- a/README.md
+++ b/README.md
@@ -407,9 +407,9 @@
`darknet.exe detector calc_anchors data/obj.data -num_of_clusters 9 -width 416 -heigh 416`
then set the same 9 `anchors` in each of 3 `[yolo]`-layers in your cfg-file
- * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides
+ * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides, on different backgrounds
- * desirable that your training dataset include images with objects (without labels) that you do not want to detect - negative samples
+ * desirable that your training dataset include images with non-labeled objects that you do not want to detect - negative samples without bounded box
* for training with a large number of objects in each image, add the parameter `max=200` or higher value in the last layer [region] in your cfg-file
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