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Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when making the step from research to production.
poker cards detector using Detectron2
Jupyter, Standalone Software Infrastructure, sample images, etc. to train a detectron2 mask-r-cnn model and use it to remove complex backgrounds from videos and images. Note: the final model is exported to torchscript (ts) format so it can be used generically outside of the detectron2 infrastructure, for instance in my standalone infrastructure
Deep Learning in Caffe2 and Detectron2
:robot: :duck: An example to create a custom dataset for Detectron2 library.