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AntiFlareNet

Flare removal models for LG dacon competition.

Directory

${POSE_ROOT}
|-- data
    |-- train
    |   |-- input
    |   |   |-- inp1.png
    |   |   |-- inp2.png
    |   |   |-- ...
    |   |-- target
    |   |   |-- tar1.png
    |   |   |-- tar2.png
    |   |   |-- ...
    |-- test
    |   |-- input
    |   |   |-- inp1.png
    |   |   |-- inp2.png
    |   |   |-- ...
    |   |-- target  #option
    |   |   |-- tar1.png
    |   |   |-- tar2.png
    |   |   |-- ...

run

Train

This repository use 2 stream models. You have to train each model seperately.

python run/train.py
python run/train_merge.py

Test

python run/test_merge.py

Figure

Input | Prediction | Target | 1.0 scale attention | 0.5 scale attention | 0.25 scale attention | 0.125 scale attention











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Flare reduction models for LG DACON competition.

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