[GitHub] [incubator-mxnet] NRauschmayr commented on issue #15280: Fixed C++ inference tutorial

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NRauschmayr commented on issue #15280: Fixed C++ inference tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15280#issuecomment-504678915
 
 
   I think we have to update the unit-test: it is using an outdated and not maintained model https://github.com/apache/incubator-mxnet/blob/a9458caec285d3c28d16588fef6aef5e219c7472/cpp-package/example/inference/unit_test_inception_inference.sh 
   The test should rather use a model from the official model zoo. According to https://mxnet.incubator.apache.org/api/python/gluon/model_zoo.html pre-processing has to be done the following way 
   ```
   image = image/255
   normalized = mx.image.color_normalize(image,
                                         mean=mx.nd.array([0.485, 0.456, 0.406]),
                                         std=mx.nd.array([0.229, 0.224, 0.225]))
   ```

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