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All Projects → choiw-public → Crack-segmentation

choiw-public / Crack-segmentation

Licence: other
This repo contains customized deep learning models for segmenting cracks.

Programming Languages

python
139335 projects - #7 most used programming language

Labels

tensorflowsegmentationcrack-detectioncrack-segmentation

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Crack Segmentation

A deep learning model for segmenting cracks. This repository will have more models in future.

Demo

Libraries

Key techniques

  • Half-precision (FP16)
  • Feature pyramid
  • Global context block
  • Bottleneck layer
  • Shortcut connection (concatenation and addition)

Model summary

  • Dataset: built from scratch for this side project
  • Architecture: depth-42 (38 downscale and 4 upscale), no pretrained model used
  • Number of parameters: 2 million
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