From e066cad1ec730cea0fa76348e34c15ff637c6975 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 15 Jun 2018 14:25:58 +0000
Subject: [PATCH] Added warning if width or height isn't divisible by 32 for default Yolo-networks

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

diff --git a/README.md b/README.md
index 5f81cd3..db0f945 100644
--- a/README.md
+++ b/README.md
@@ -432,7 +432,7 @@
     * `train_network_width * train_obj_width / train_image_width ~= detection_network_width * detection_obj_width / detection_image_width`
     * `train_network_height * train_obj_height / train_image_height ~= detection_network_height * detection_obj_height / detection_image_height`
   
-  * to speedup training (with decreasing detection accuracy) do Fine-Tuning instead of Transfer-Learning, set param `stopbackward=1` in one of the penultimate convolutional layers before the 1-st `[yolo]`-layer, for example here: https://github.com/AlexeyAB/darknet/blob/0039fd26786ab5f71d5af725fc18b3f521e7acfd/cfg/yolov3.cfg#L598
+  * to speedup training (with decreasing detection accuracy) do Fine-Tuning instead of Transfer-Learning, set param `stopbackward=1` here: https://github.com/AlexeyAB/darknet/blob/6d44529cf93211c319813c90e0c1adb34426abe5/cfg/yolov3.cfg#L548
 
 2. After training - for detection:
 

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