Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF)
Keras inference time optimizer
Set of models for classification of 3D volumes.
EfficientNet models in 3D variant for keras and TF.keras
Set of Keras models for segmentation of 3D volumes .
Library for 3D augmentations
Keras implementation of layer which performs augmentations of images using GPU.
Function to calculate mAP for set of detected boxes and annotated boxes.