From b74d979f666501ceddc4120a3220e85e2e002f74 Mon Sep 17 00:00:00 2001
From: Amir Mohammadi <183.amir@gmail.com>
Date: Fri, 23 Dec 2016 12:26:10 +0100
Subject: [PATCH] comment opencv instructions from docs
---
doc/guide.rst | 8 +++++---
1 file changed, 5 insertions(+), 3 deletions(-)
diff --git a/doc/guide.rst b/doc/guide.rst
index 3345df4..f3f7d9e 100644
--- a/doc/guide.rst
+++ b/doc/guide.rst
@@ -64,9 +64,11 @@ The code below shall detect most frontal faces in a provided (gray-scaled) image
>>> import bob.ip.color
>>> lena_gray = bob.ip.color.rgb_to_gray(bob.io.base.load(get_file('lena.jpg')))
>>> try:
- ... from cv2 import CascadeClassifier
- ... cc = CascadeClassifier(get_file('haarcascade_frontalface_alt.xml'))
- ... face_bbxs = cc.detectMultiScale(lena_gray, 1.3, 4, 0, (20, 20))
+ ... # the following lines depend on opencv API, hence commented out.
+ ... # from cv2 import CascadeClassifier
+ ... # cc = CascadeClassifier(get_file('haarcascade_frontalface_alt.xml'))
+ ... # face_bbxs = cc.detectMultiScale(lena_gray, 1.3, 4, 0, (20, 20))
+ ... face_bbxs = [[214, 202, 183, 183]] #e.g., manually
... except ImportError: #if you don't have OpenCV, do it otherwise
... face_bbxs = [[214, 202, 183, 183]] #e.g., manually
>>> print(face_bbxs)
--
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