0.2

Changes since last release

• Corrected FPN architecture as per paper.
• Set default image size to minimum of 800px.
• Change NMS to perform per-class NMS.
• Small correction for bbox transform.
• Add OID data generator.
• Change default NMS threshold to 0.5.
• Add MobileNet backbone.
• Add tensorboard callback.
• Add tool for debugging datasets.
• Improve speed of data augmentation methods.
• Add ability to resume training.
• Add evaluation tool for custom datasets (only computes mAP at the moment).
• Add skip_mismatch to weights loading, allows transfer learning from pretrained COCO model.

Credits to:
@awilliamson
@hgaiser
@de-vri-es
@mxvs
@wassname
@mkocabas
@lvaleriu