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Merge pull request #26394 from alexlyulkov:al/new-engine-tf-parser
Modified tensorflow parser for the new dnn engine #26394 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
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@@ -69,10 +69,10 @@ public class DnnListRegressionTest extends OpenCVTestCase {
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Mat inputBlob = Dnn.blobFromImage(image, 1.0, new Size(224, 224), new Scalar(0), true, true);
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assertNotNull("Converting image to blob failed!", inputBlob);
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net.setInput(inputBlob, "input");
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net.setInput(inputBlob, "");
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}
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public void testSetInputsNames() {
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/*public void testSetInputsNames() {
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List<String> inputs = new ArrayList();
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inputs.add("input");
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try {
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@@ -80,12 +80,12 @@ public class DnnListRegressionTest extends OpenCVTestCase {
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} catch(Exception e) {
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fail("Net setInputsNames failed: " + e.getMessage());
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}
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}
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}*/
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public void testForward() {
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List<Mat> outs = new ArrayList();
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List<String> outNames = new ArrayList();
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outNames.add("softmax2");
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//outNames.add("");
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try {
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net.forward(outs,outNames);
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} catch(Exception e) {
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