Earlier this year in March, we showed retinanet-examples, an open source example of how to accelerate the training and deployment of an object detection pipeline for GPUs. We presented the project at NVIDIA��s GPU Technology Conference in San Jose. This post discusses the motivation for this work, a high-level description of the architecture, and a brief look under-the-hood at the optimizations we��
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