Fail to convert Caffe model to Core ML model - caffe

Question

When I try to convert a model from Caffe to Core ML model with coremltools, I get the following:
================= Starting Conversion from Caffe to CoreML ======================
Layer 0: Type: 'Data', Name: 'data'. Output(s): 'data', 'label'.
WARNING: Skipping Data Layer 'data' of type 'Data'. It is recommended to use Input layer for deployment.
Layer 1: Type: 'Split', Name: 'label_data_1_split'. Input(s): 'label'. Output(s): 'label_data_1_split_0', 'label_data_1_split_1'.
Layer 2: Type: 'Convolution', Name: 'conv1'. Input(s): 'data'. Output(s): 'conv1'.
Layer 3: Type: 'Slice', Name: 'slice1'. Input(s): 'conv1'. Output(s): 'slice1_1', 'slice1_2'.
Layer 4: Type: 'Eltwise', Name: 'etlwise1'. Input(s): 'slice1_1', 'slice1_2'. Output(s): 'eltwise1'.
Traceback (most recent call last):
File "test.py", line 2, in <module>
coreml_model = coremltools.converters.caffe.convert('_iter_3560000.caffemodel')
File "/Users/zfh/Desktop/face_verification_experiment/model/python27/lib/python2.7/site-packages/coremltools/converters/caffe/_caffe_converter.py", line 142, in convert
predicted_feature_name)
File "/Users/zfh/Desktop/face_verification_experiment/model/python27/lib/python2.7/site-packages/coremltools/converters/caffe/_caffe_converter.py", line 187, in _export
predicted_feature_name
RuntimeError: Unsupported option 'Max' for the parameter 'operation' in layer 'etlwise1' of type 'Elementwise' during caffe conversion.
This is the code I am using:
import coremltools
coreml_model = coremltools.converters.caffe.convert(('_iter_3560000.caffemodel', 'LCNN_deploy.prototxt'))
coreml_model.save('_iter_3560000.mlmodel')
Any ideas what the problem is? Thank you very much!

Answer 1

As the error message says, the problem is that the Max operation in an Eltwise layer is not supported by the coremltools. Core ML only supports a limited number of layers.
However... it seems like maybe you're trying to convert the .prototxt that was used for training (even though the filename is LCNN_deploy.prototxt). Are you sure this is the correct deploy.prototxt?

Answer 2

Recently, I extract the convert tools of caffe2mlmodel from the coremltools, its the c++ implemention.
First of all，you need to know this tool supported caffe layer, defined in caffe.proto(include in caffeconverter directory)
And, then, open the caffe.proto, you can locate at the message LayerParameter, like below:,. You can find the supported caffe layer.
caffe.proto in caffeconverter of coremltools
Finally, if you want the custom caffe layer, just add adapt the caffe.proto , and learn the Core ML mode protobuf specification(https://apple.github.io/coremltools/coremlspecification/#)