0.5.0

Changes since last release

• Evaluation uses progressbar
• Correct initialization of weights for classification submodel
• Fix issue with evaluating when there are gaps in classes
• Add configuration (currently only for anchor settings)
• Refactor how annotation are generated in the generators
• Use CPU to convert model
• Update to keras 2.2.4
• Add NCHW support

Credits to
@adreo00
@borakrc
@yecharlie
@ddowling
@enricoliscio
@hgaiser
@baek-jinoo
@de-vri-es
@penguinmenac3
Morten Back Nielsen
@relh
@vcarpani