Mindbooom / M2FCN

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Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

This is an official implementation for ICCV2017 paper Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection based on caffe.

Demo

  1. You need compile the caffe.
make
make pycaffe
  1. Changing the path to your datasets in ./examples/final_results/train_val.prototxt
  2. To trian the model,run
cd ./examples/final_results
python solve.py
  1. To test the model,run
python result.py

About

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Language:C++ 81.3%Language:Python 9.1%Language:Cuda 4.6%Language:CMake 3.0%Language:MATLAB 1.0%Language:Makefile 0.7%Language:Shell 0.4%