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give introduction and provide useful links
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README.md

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# tf_vision
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Playground for deep learning with tensorflow in the field of robot vision (let's see where this leads to)
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Derived from tensorflow research model object_detection:
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On 15th June 2017 Google released their (pretrained) Computer Vision models via the TensorFlow Object Detection API.
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These models won the COCO detection challenge (http://cocodataset.org/) 2016. COCO features a large-scale dataset with more than 200k labeled images, 80 object categories and 250k people with keypoints.
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https://github.com/tensorflow/models/tree/master/research/object_detection
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With this repository, I am deriving from the TensorFlow research model object_detection and trying to put all things together, to do fancy things incl. infering on live video data. Applying it to Robotics is one of the major goals.
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Find here some highly recommended links:
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* Google announcement: https://research.googleblog.com/2017/06/supercharge-your-computer-vision-models.html
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* COCO detection challenge (and of course the dataset, results ...): http://cocodataset.org/
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* CVPR 2017 Paper describing the models in detail: https://arxiv.org/abs/1611.10012
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* TensorFlow research model and object_detection API: https://github.com/tensorflow/models/tree/master/research/object_detection
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# GPU Acceleration
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For GPU-accelerated tensorflow under Ubuntu 16.04 x86_64, ensure you do or have done the following:
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