U-Net_Regression

U-Net Regression

This is the implementation of "U-Net" for regression.
Original paper: O. Ronneberger, P. Fischer, and T. Brox. U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015. link

Usage

1. Build

Please build the source file according to the procedure.

$ mkdir build
$ cd build
$ cmake ..
$ make -j4
$ cd ..

2. Dataset Setting

Recommendation

• CMP Facade Database
  This is a dataset of facade images assembled at the Center for Machine Perception, which includes 606 rectified images of facades from various sources, which have been manually annotated.
  Link: official

Setting

Please create a link for the dataset.
The following hierarchical relationships are recommended.

datasets
|--Dataset1
|    |--trainI
|    |    |--image1.png
|    |    |--image2.bmp
|    |    |--image3.jpg
|    |
|    |--trainO
|    |    |--image1.png
|    |    |--image2.bmp
|    |    |--image3.jpg
|    |
|    |--validI
|    |--validO
|    |--testI
|    |--testO
|
|--Dataset2
|--Dataset3

You should substitute the path of training input data for "<training_input_path>", training output data for "<training_output_path>", test input data for "<test_input_path>", test output data for "<test_output_path>", respectively.
The following is an example for "facade".

$ cd datasets
$ mkdir facade
$ cd facade
$ ln -s <training_input_path> ./trainI
$ ln -s <training_output_path> ./trainO
$ ln -s <test_input_path> ./testI
$ ln -s <test_output_path> ./testO
$ cd ../..

3. Training

Setting

Please set the shell for executable file.

$ vi scripts/train.sh

The following is an example of the training phase.
If you want to view specific examples of command line arguments, please view "src/main.cpp" or add "--help" to the argument.

#!/bin/bash

DATA='facade'

./U-Net_Regression \
    --train true \
    --epochs 300 \
    --dataset ${DATA} \
    --size 256 \
    --batch_size 16 \
    --gpu_id 0 \
    --input_nc 3 \
    --output_nc 3

Run

Please execute the following to start the program.

$ sh scripts/train.sh

4. Test

Setting

Please set the shell for executable file.

$ vi scripts/test.sh

The following is an example of the test phase.
If you want to view specific examples of command line arguments, please view "src/main.cpp" or add "--help" to the argument.

#!/bin/bash

DATA='facade'

./U-Net_Regression \
    --test true \
    --dataset ${DATA} \
    --size 256 \
    --gpu_id 0 \
    --input_nc 3 \
    --output_nc 3

There are no particular restrictions on both input and output images.
However, the two file names must correspond without the extension.

Run

Please execute the following to start the program.

$ sh scripts/test.sh

Acknowledgments

This code is inspired by pytorch-CycleGAN-and-pix2pix.