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dnn(test): update error tolerance for RCNN/RFCN tests
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@ -458,7 +458,7 @@ TEST(Test_Caffe, FasterRCNN_and_RFCN)
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if (out.at<float>(j, 2) > 0.8)
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detections.push_back(out.row(j).colRange(1, 7));
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}
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normAssert(detections, refs[i], ("model name: " + models[i]).c_str(), 2e-4, 6e-4);
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normAssert(detections, refs[i], ("model name: " + models[i]).c_str(), 1e-3, 1e-3);
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}
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}
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