chinmay5
chinmay5
When I do that, I get an error in conversion 
Figured this one out but still ran into the first issue where it expects 3 params but gets only 1. I am not sure what is going wrong
I am not very familiar with the Keras model but it seems strange if the batch-normalizatioon can change the shape because usually we would not expect any change in the...
Aha so @Ma-Dan according to you, this failure is because of version mismatch?
@inosms @Ma-Dan I have no idea how to have this working. Any sort of help shall be highly appreciated
I was able to handle the conversion part by using the code:- `coreml_model = coremltools.converters.keras.convert('./model_data/yolo.h5', input_names='input_1', image_input_names='image', output_names = ['output','output2'],image_scale=1/255.) ` However, when I try running the converted coreml model,...
Did anyone manage to solve it?