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dnn : Added an imagesFromBlob method to the dnn module (#10607)

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* Added the imagesFromBlob method to the dnn module.

* Rewritten imagesFromBlob based on first dkurt comments

* Updated code with getPlane()

* Modify comment of imagesFromBlob() in dnn module

* modified comments, removed useless assertions & added OutputArrayOfArray

* replaced tabs with whitespaces & put vectorOfChannels instantiation outside the loop

* Changed pre-commit.sample to pre-commit in .git/hooks/

* Added a test for imagesFromBlob in test_misc.cpp (dnn)

* Changed nbOfImages, robustified test with cv::randu, modified assertion
This commit is contained in:
Rémi Ratajczak
2018-02-12 12:51:07 +01:00
committed by Vadim Pisarevsky
parent 5a791e6e06
commit b67523550f
3 changed files with 55 additions and 0 deletions
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modules/dnn/test/test_misc.cpp
+21
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@@ -36,4 +36,25 @@ TEST(blobFromImage, allocated)
ASSERT_EQ(blobData, blob.data);
}
TEST(imagesFromBlob, Regression)
{
int nbOfImages = 8;
std::vector<cv::Mat> inputImgs(nbOfImages);
for (int i = 0; i < nbOfImages; i++)
{
inputImgs[i] = cv::Mat::ones(100, 100, CV_32FC3);
cv::randu(inputImgs[i], cv::Scalar::all(0), cv::Scalar::all(1));
}
cv::Mat blob = cv::dnn::blobFromImages(inputImgs, 1., cv::Size(), cv::Scalar(), false, false);
std::vector<cv::Mat> outputImgs;
cv::dnn::imagesFromBlob(blob, outputImgs);
for (int i = 0; i < nbOfImages; i++)
{
ASSERT_EQ(cv::countNonZero(inputImgs[i] != outputImgs[i]), 0);
}
}
}} // namespace