From 56bff1dc8cbafd718b5733f22bdb63ab4767703b Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 19 Jun 2018 22:06:39 +0000
Subject: [PATCH] Fixed darknet.py when OpenCV is used (added BGR to RGB conversion)

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 README.md |    2 ++
 1 files changed, 2 insertions(+), 0 deletions(-)

diff --git a/README.md b/README.md
index db0f945..b40d531 100644
--- a/README.md
+++ b/README.md
@@ -320,6 +320,8 @@
  
  **Note:** If during training you see `nan` values for `avg` (loss) field - then training goes wrong, but if `nan` is in some other lines - then training goes well.
  
+ **Note:** If you changed width= or height= in your cfg-file, then new width and height must be divisible by 32.
+ 
 ### How to train tiny-yolo (to detect your custom objects):
 
 Do all the same steps as for the full yolo model as described above. With the exception of:

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