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add variation of predict that also returns the confidence

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This commit is contained in:
Tyler Kahn 2013-10-16 14:08:10 -04:00
parent cfcf6fa0ba
commit 0a3295cf32
3 changed files with 49 additions and 0 deletions
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25
ext/opencv/facerecognizer.cpp
View file

@ -106,6 +106,30 @@ rb_predict(VALUE self, VALUE src)
return INT2NUM(label);
}
/*
* call-seq:
* predict_with_confidence(src)
*
* Predicts a label and associated confidence (e.g. distance) for a given input image.
*/
VALUE
rb_predict_with_confidence(VALUE self, VALUE src)
{
cv::Mat mat = cv::Mat(CVMAT_WITH_CHECK(src));
cv::FaceRecognizer *self_ptr = FACERECOGNIZER(self);
int label;
double confidence;
try {
self_ptr->predict(mat, label, confidence);
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return rb_ary_new3(2, INT2NUM(label), DBL2NUM(confidence));
}
/*
* call-seq:
* save(filename)
@ -164,6 +188,7 @@ define_ruby_class()
rb_klass = rb_define_class_under(opencv, "FaceRecognizer", cAlgorithm::rb_class());
rb_define_method(rb_klass, "train", RUBY_METHOD_FUNC(rb_train), 2);
rb_define_method(rb_klass, "predict", RUBY_METHOD_FUNC(rb_predict), 1);
rb_define_method(rb_klass, "predict_with_confidence", RUBY_METHOD_FUNC(rb_predict_with_confidence), 1);
rb_define_method(rb_klass, "save", RUBY_METHOD_FUNC(rb_save), 1);
rb_define_method(rb_klass, "load", RUBY_METHOD_FUNC(rb_load), 1);
}

13
test/test_eigenfaces.rb
View file

@ -55,6 +55,19 @@ class TestEigenFaces < OpenCVTestCase
}
end
def test_predict_with_confidence
img = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
label = 1
@eigenfaces.train([img], [label])
lbl, conf = @eigenfaces.predict_with_confidence(img)
assert_equal(label, lbl)
assert_equal(0.0, conf)
assert_raise(TypeError) {
@eigenfaces.predict_with_confidence(DUMMY_OBJ)
}
end
def test_save
img = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
label = 1

11
test/test_fisherfaces.rb
View file

@ -52,6 +52,17 @@ class TestFisherFaces < OpenCVTestCase
}
end
def test_predict_with_confidence
label = 1
lbl, conf = @fisherfaces_trained.predict_with_confidence(@images[0])
assert_equal(1, lbl)
assert_equal(0.0, conf)
assert_raise(TypeError) {
@fisherfaces_trained.predict_with_confidence(DUMMY_OBJ)
}
end
def test_save
filename = "fisherfaces_save-#{DateTime.now.strftime('%Y%m%d%H%M%S')}.xml"
begin