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Fix spelling typos

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backport commit 659ffaddb4
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Brian Wignall
2019-12-26 06:45:03 -05:00
committed by Alexander Alekhin
parent 5e2bcc9149
commit f9c514b391
70 changed files with 89 additions and 89 deletions
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doc/tutorials/objdetect/cascade_classifier/cascade_classifier.markdown
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@@ -10,7 +10,7 @@ In this tutorial,
- We will see the basics of face detection and eye detection using the Haar Feature-based Cascade Classifiers
- We will use the @ref cv::CascadeClassifier class to detect objects in a video stream. Particularly, we
will use the functions:
- @ref cv::CascadeClassifier::load to load a .xml classifier file. It can be either a Haar or a LBP classifer
- @ref cv::CascadeClassifier::load to load a .xml classifier file. It can be either a Haar or a LBP classifier
- @ref cv::CascadeClassifier::detectMultiScale to perform the detection.
Theory
doc/tutorials/objdetect/traincascade.markdown
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@@ -168,7 +168,7 @@ Command line arguments of opencv_traincascade application grouped by purposes:
- `-w <sampleWidth>` : Width of training samples (in pixels). Must have exactly the same value as used during training samples creation (opencv_createsamples utility).
- `-h <sampleHeight>` : Height of training samples (in pixels). Must have exactly the same value as used during training samples creation (opencv_createsamples utility).
- Boosted classifer parameters:
- Boosted classifier parameters:
- `-bt <{DAB, RAB, LB, GAB(default)}>` : Type of boosted classifiers: DAB - Discrete AdaBoost, RAB - Real AdaBoost, LB - LogitBoost, GAB - Gentle AdaBoost.
- `-minHitRate <min_hit_rate>` : Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated as (min_hit_rate ^ number_of_stages), @cite Viola04 §4.1.
- `-maxFalseAlarmRate <max_false_alarm_rate>` : Maximal desired false alarm rate for each stage of the classifier. Overall false alarm rate may be estimated as (max_false_alarm_rate ^ number_of_stages), @cite Viola04 §4.1.