From 6d44529cf93211c319813c90e0c1adb34426abe5 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 13 Jun 2018 10:50:02 +0000
Subject: [PATCH] Minor fix
---
README.md | 3 +--
1 files changed, 1 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 27c622d..5f81cd3 100644
--- a/README.md
+++ b/README.md
@@ -100,7 +100,6 @@
* Remeber to put data/9k.tree and data/coco9k.map under the same folder of your app if you use the cpp api to build an app
* To process a list of images `data/train.txt` and save results of detection to `result.txt` use:
`darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights -dont_show -ext_output < data/train.txt > result.txt`
- You can comment this line so that each image does not require pressing the button ESC: https://github.com/AlexeyAB/darknet/blob/6ccb41808caf753feea58ca9df79d6367dedc434/src/detector.c#L509
##### For using network video-camera mjpeg-stream with any Android smartphone:
@@ -428,7 +427,7 @@
* 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
- * General rule - you should keep relative size of objects in the Training and Testing datasets roughly the same:
+ * General rule - your training dataset should include such a set of relative sizes of objects that you want to detect - differing by no more than 2 times:
* `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`
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