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microsoft / Trill

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Progressive versions of hopping and tumbling windows

cybertyche
cybertyche commented Dec 13, 2018

Implement progressive versions of hopping and tumbling windows:

  • Both window macro methods should get added versions that take an additional parameter
  • The parameter should represent the time interval that should be used to produce intermediate results of aggregations
  • The parameter should be a clean divisor of the tumble size for tumbling windows and the hop size for hopping windows
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good first issue help wanted

CAMMA-public / ConvLSTM-Surgical-Tool-Tracker

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This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.

tracking localization deep-learning analysis detection lstm convolutional-neural-network weakly-supervised-learning temporal-data video-analysis convlstm surgical-tools temporal-convolutional-network endoscopic-images surgical-video surgical-instrument
  • Updated Sep 1, 2020
  • Python

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