can't read inference model

Hi there,

I’m trying to load the inference model which I created on my own data, but I got the error.

environment keras 2.2.4 tensorflow 1.12.0

I carried out the following

training

keras_retinanet/bin/train.py --weights snapshots/resnet50_coco_best_v2.1.0.h5 --freeze-backbone csv
annotation.csv classes.csv

I got the resnet50_csv_01.h5 model and so on.

Converting a training model to the inference model with 2 patterns.

1 follow the examples/ ResNet50RetinaNet.jpnb

Converting a training model to inference model on jupyter notebook

model_path = os.path.join('..', 'snapshots', 'resnet50_csv_20.h5')
model = models.load_model(model_path, backbone_name='resnet50')
model = models.convert_model(model)

I got this error

AttributeError: module `keras_retinanet.models` has no attribute 'convert_model'

2 Converting a training model to inference model on this code

keras_retinanet/bin/convert_model.py /snapshots/resnet50_csv_01.h5 /snapshots/resnet50_csv_01_inference.h5

then

model_path = os.path.join('..', 'snapshots', 'resnet50_csv_01_inference.h5')
model = models.load_model(model_path, backbone_name='resnet50')

I got this error

/usr/local/lib/python3.5/dist-packages/keras/engine/base_layer.py in __init__(self, **kwargs)
126 for kwarg in kwargs:
127 if kwarg not in allowed_kwargs:
--> 128 raise TypeError('Keyword argument not understood:', kwarg)
129 name = kwargs.get('name')
130 if not name:

TypeError: ('Keyword argument not understood:', 'class_specific_filter')

Could you give me some advice?

[gs55]

I solved this problem!! thank you for your advice.

[theainerd]

@gs55 I am facing the same problem. Any idea how to resolve it?