PreVIousNet

CNN models used in PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices.

Files

• Scripts.

  • create_prototxt.py: Python file for generating model definitions in Caffe format. Parameters include input dimensions (batch, channels, height, width) and network architecture (01, 02).

    Use example: create_prototxt.py --name PreVIousNet01 -v 01 -s 1 64 28 28

• Models. Generated network definitions in Caffe format. Input size (H,W,C) can be further adjusted by using the generator script with corresponding arguments.
  • PreVIousNet01.prototxt. If only a change in input resolution (HxW) is desired, just edit corresponding lines 5-6 input_dim: H/W. For adjusting number of input channels (C), use the model generator script.
  • PreVIousNet02.prototxt: For adjusting number of input channels (C), use the model generator script.
• Docs.
  • Visualization figure of the network.

Citation

D. Velasco-Montero, et. al., "PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices," IEEE Internet of Things Journal, 2020. DOI 10.1109/JIOT.2020.2981684