MOT, TF model customization and distributed training

Python project, TensorFlow.

First, this article will describe how to convert a simple object detector to Multi-Object Tracking (MOT) capable of keeping identities to follow subjects along a sequence. Second, it will show how to customize and retrain a model from TensorFlow Object Detection API. Contrary to the previous article, we will parse the VOC2012 dataset with modern methods instead of implementing our own parser from scratch. We will also distribute the training on multiple GPUs.

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