Failed to load Keras model .h5 about yolo-coreml-mpsnngraph HOT 8 CLOSED

I read and found out something in the closed issues. It seems to be "the full YOLO model contains a type of layer that is currently not supported by Core ML."
I was using yolo-voc.2.0.cfg for training so do you think I would had used yolo-voc.cfg (YOLO V1) instead ?

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This app only supports Tiny YOLO, not the full
one.

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I retrained all of my data using tiny-yolo-voc.cfg so the convert was working but after converting to Keras my model was unable to recognize any object despite it had worked properly in Darknet. Do you have any idea ?

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So then could we get an update to the full one?

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I don't see the point in supporting the full YOLO on mobile as it will be very slow. Better to use something like the new MobileNetV2 with SSDLite.

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I got same error when I convert my model. I use yolov2-tiny-voc to do this step.

Traceback (most recent call last):
File "coreml.py", line 11, in
image_scale=1/255.)
File "/Users/coreml-ios/lib/python2.7/site-packages/coremltools/converters/keras/_keras_converter.py", line 745, in convert
custom_conversion_functions=custom_conversion_functions)
File "/Users/coreml-ios/lib/python2.7/site-packages/coremltools/converters/keras/_keras_converter.py", line 525, in convertToSpec
custom_objects=custom_objects)
File "/Users/coreml-ios/lib/python2.7/site-packages/coremltools/converters/keras/_keras_converter.py", line 161, in _convert
model = _keras.models.load_model(model, custom_objects = custom_objects)
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/models.py", line 142, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/models.py", line 193, in model_from_config
return layer_from_config(config, custom_objects=custom_objects)
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 40, in layer_from_config
custom_objects=custom_objects)
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/engine/topology.py", line 2582, in from_config
process_layer(layer_data)
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/engine/topology.py", line 2560, in process_layer
custom_objects=custom_objects)
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 42, in layer_from_config
return layer_class.from_config(config['config'])
File "/Users/coreml-ios/lib/python2.7/site-packages/keras/engine/topology.py", line 1025, in from_config
return cls(**config)
TypeError: init() got an unexpected keyword argument 'dtype'

I use the same weights in Forge and NNGraph, both success. Just fail in coreML.

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Hi, I just solve this problem.
Use keras==2.0.6 can convert model successfully.

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I use keras==2.0.6, it works. Higher version such as 2.2.0 is not working.
BTW, I use anaconda and run on macOS

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