From c83865bb61ffa3dbdfdceddfc7b46d93859d89d3 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Mon, 02 Apr 2018 11:13:10 +0000
Subject: [PATCH] Fixed partial.cmd for new tiny weights

---
 README.md |    6 ++++--
 1 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 26d0994..e6b576a 100644
--- a/README.md
+++ b/README.md
@@ -17,9 +17,10 @@
 
 
 
-|  ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) | &nbsp; ![map_fps](https://hsto.org/webt/pw/zd/0j/pwzd0jb9g7znt_dbsyw9qzbnvti.jpeg) https://pjreddie.com/media/files/papers/YOLOv3.pdf |
+|  ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) | &nbsp; ![map_fps](https://hsto.org/webt/pw/zd/0j/pwzd0jb9g7znt_dbsyw9qzbnvti.jpeg) mAP (AP50) https://pjreddie.com/media/files/papers/YOLOv3.pdf |
 |---|---|
 
+* Yolo v3 source chart for the RetinaNet on MS COCO got from Table 1 (e): https://arxiv.org/pdf/1708.02002.pdf
 * Yolo v2 on Pascal VOC 2007: https://hsto.org/files/a24/21e/068/a2421e0689fb43f08584de9d44c2215f.jpg
 * Yolo v2 on Pascal VOC 2012 (comp4): https://hsto.org/files/3a6/fdf/b53/3a6fdfb533f34cee9b52bdd9bb0b19d9.jpg
 
@@ -239,7 +240,7 @@
       * https://github.com/AlexeyAB/darknet/blob/0039fd26786ab5f71d5af725fc18b3f521e7acfd/cfg/yolov3.cfg#L689
       * https://github.com/AlexeyAB/darknet/blob/0039fd26786ab5f71d5af725fc18b3f521e7acfd/cfg/yolov3.cfg#L776
 
-  So if `classes=1` then should be `filters=18`. If `classes=2` then write `filters=31`.
+  So if `classes=1` then should be `filters=18`. If `classes=2` then write `filters=21`.
   
   **(Do not write in the cfg-file: filters=(classes + 5)x3)**
   
@@ -368,6 +369,7 @@
 
 * **mAP** (mean average precision) - mean value of `average precisions` for each class, where `average precision` is average value of 11 points on PR-curve for each possible threshold (each probability of detection) for the same class (Precision-Recall in terms of PascalVOC, where Precision=TP/(TP+FP) and Recall=TP/(TP+FN) ), page-11: http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf
 
+**mAP** is default metric of precision in the PascalVOC competition, **this is the same as AP50** metric in the MS COCO competition.
 In terms of Wiki, indicators Precision and Recall have a slightly different meaning than in the PascalVOC competition, but **IoU always has the same meaning**.
 
 ![precision_recall_iou](https://hsto.org/files/ca8/866/d76/ca8866d76fb840228940dbf442a7f06a.jpg)

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