First time here? Check out the FAQ!
Hi there! Please sign in
help
faq
tags
users
badges
This forum is disabled, please visit
https://forum.opencv.org
ALL
UNANSWERED
Ask Your Question
angela's profile - overview
overview
network
karma
followed questions
activity
16
karma
follow
Registered User
member since
2015-06-23 13:34:28 -0600
last seen
2015-07-18 02:43:02 -0600
todays unused votes
60
votes left
6
Questions
126
views
no
answers
1
vote
2015-07-16 10:29:30 -0600
angela
opencv_traincascade preprocessing
equalizeHist
opencv_traincascade
57
views
no
answers
no
votes
2015-07-17 12:11:12 -0600
angela
opencv_traincascade: what resizing is done by opencv? [deleted]
opencv_traincascade
resize
413
views
no
answers
no
votes
2015-06-25 04:20:29 -0600
angela
Detections too small with OpenCV Cascade classifier
opencv
python
1k
views
1
answer
no
votes
2015-07-16 06:42:06 -0600
thdrksdfthmn
opencv_traincascade detection phase: obtain confidence of each detection window
opencv_traincascade
detectMultiScale
341
views
no
answers
no
votes
2015-07-10 05:50:01 -0600
angela
Normalizing images for opencv_traincascade
opencv_traincascade
normalize
111
views
no
answers
no
votes
2015-07-16 06:00:19 -0600
angela
opencv_traincascade: obtaining number of features per stage
opencv_traincascade
features
0
Answers
6
Votes
6
0
15
Tags
opencv_trainca...
× 11
detectMultiScale
× 5
normalize
× 3
python
× 2
opencv
× 2
traincascade
× 1
features
× 1
resize
× 1
confidence
× 1
Face-Detection
× 1
#facedetection
× 1
#Haar
× 1
equalizeHist
× 1
haartraning
× 1
mergevec
× 1
4
Badges
●
Scholar
×
1
opencv_traincascade detection phase: obtain confidence of each detection window
●
Student
×
1
opencv_traincascade preprocessing
●
Enthusiast
×
1
●
Editor
×
1
Detections too small with OpenCV Cascade classifier
Copyright
OpenCV foundation
, 2012-2018. Content on this site is licensed under a
Creative Commons Attribution Share Alike 3.0
license.
Powered by Askbot version 0.10.2
Please note: OpenCV answers requires javascript to work properly, please enable javascript in your browser,
here is how