From 64ba66e1c78ef0f84e33b272629733d0194ebad2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Adri=C3=A0=20Arrufat?=
 <1671644+arrufat@users.noreply.github.com>
Date: Mon, 27 Apr 2020 19:02:26 +0900
Subject: [PATCH] fix receptive field comment (#2070)

---
 examples/dnn_mmod_ex.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/dnn_mmod_ex.cpp b/examples/dnn_mmod_ex.cpp
index 9565d514c..c18b18402 100644
--- a/examples/dnn_mmod_ex.cpp
+++ b/examples/dnn_mmod_ex.cpp
@@ -33,7 +33,7 @@ using namespace dlib;
 // convolutionally over an entire image pyramid.  Think of it like a normal
 // sliding window classifier.  This means you need to define a CNN that can look
 // at some part of an image and decide if it is an object of interest.  In this
-// example I've defined a CNN with a receptive field of a little over 50x50
+// example I've defined a CNN with a receptive field of approximately 50x50
 // pixels.  This is reasonable for face detection since you can clearly tell if
 // a 50x50 image contains a face.  Other applications may benefit from CNNs with
 // different architectures.