This tutorial shows how to import the MobileNet v2 model, one of the original MXNet* models, into the DL Workbench. Download the model from this GitHub repository by saving the
Go to the Import Model page as described in Import Models. Select MxNet in the drop-down list, choose the files you downloaded. The name of the model is automatically filled in based on the name of the file you choose first.
Once you click Import, the tool analyzes your model and opens the Convert Model to IR form with conversion settings fields. Some of the fields are prepopulated as a result of the analysis.
Choose the RGB color space order as described in the documentation of the model.
The model was trained with the MXNet version lower than 1.0.0 and without MXNet GluonCV API, so do not check the Legacy MxNet Model and Enable SSD gluoncv boxes.
Check the boxes Use Means and Use Scales. Fill in the values as described in the documentation:
[123.68, 116.78, 103.94] and
[0.017, 0.017, 0.017] respectively.
Once you have the fields of the Convert Model to IR window filled as shown below, click Convert and proceed to select a dataset.