Convert MXNet models into Apple CoreML format

pip install mxnet-to-coreml

Currently supported

Layers

List of MXNet layers that can be converted into their CoreML equivalent:

1. Activation
2. Batchnorm
3. Concat
4. Convolution
5. Deconvolution
6. Dense
7. Elementwise
8. Flatten
9. Pooling
10. Reshape
11. Softmax
12. Transpose

1. Resnet

mxnet_coreml_converter.py --model-prefix='resnet-50' --epoch=0 --input-shape='{"data":"3,224,224"}' --mode=classifier --pre-processing-arguments='{"image_input_names":"data"}' --class-labels synset.txt --output-file="resnet50.mlmodel"

GitHub