RN1015k500

RN1015k500.mlmodel - Apple Core ML model generated from the Apache MXNet model "LocationNet".

Instructions

On macOS, download the 4 files RN1015k500.aa, RN1015k500.ab, RN1015k500.ac and RN1015k500.ad to the same directory and run this command to create the file RN1015k500.mlmodel:

$ cat RN1015k500.aa RN1015k500.ab RN1015k500.ac RN1015k500.ad > RN1015k500.mlmodel

Then to verify the integrity of the file RN1015k500.mlmodel, run the following command and visually confirm that the resulting hash is 6d59a68b9be7a14705aba0bd957f72b0fef29cd2

$ openssl sha1 RN1015k500.mlmodel

Note

RN1015k500.mlmodel was generated using the MXNet to Core ML converter tool with the following command:

$ mxnet_coreml_converter.py --model-prefix='RN101-5k500' --epoch=12 --input-shape='{"data":"3,224,224"}' --mode=classifier --pre-processing-arguments='{"image_input_names":"data"}' --class-labels grids.txt --output-file="RN1015k500.mlmodel"