From 78284f791e21972eefc31b3f7a23eb91feeb61a7 Mon Sep 17 00:00:00 2001 From: Alexey Date: Thu, 9 Aug 2018 22:53:09 +0300 Subject: [PATCH] Update Readme.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 262a2533..c3b7a84d 100644 --- a/README.md +++ b/README.md @@ -428,7 +428,7 @@ Example of custom object detection: `darknet.exe detector test data/obj.data yol * desirable that your training dataset include images with non-labeled objects that you do not want to detect - negative samples without bounded box (empty `.txt` files) - use as many images of negative samples as there are images with objects - * 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 + * for training with a large number of objects in each image, add the parameter `max=200` or higher value in the last `[yolo]`-layer or `[region]`-layer in your cfg-file (the global maximum number of objects that can be detected by YoloV3 is `0,0615234375*(width*height)` where are width and height are parameters from `[net]` section in cfg-file) * for training for small objects - set `layers = -1, 11` instead of https://github.com/AlexeyAB/darknet/blob/6390a5a2ab61a0bdf6f1a9a6b4a739c16b36e0d7/cfg/yolov3.cfg#L720 and set `stride=4` instead of https://github.com/AlexeyAB/darknet/blob/6390a5a2ab61a0bdf6f1a9a6b4a739c16b36e0d7/cfg/yolov3.cfg#L717