FCNet

This project is the official pytorch implementation of the paper FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation.

prepare data

1. First download Training|Validation|Testing from the MSEC github repository;
2. Place the dataset in the root directory of the project.

train

The training pipeline will be organized within a few weeks.

test

The trained checkpoint has been uploaded to snapshot.

For fusion evaluation, run:

python fusiontest.py --exposure under
python fusiontest.py --exposure over
python fusiontest.py --exposure all

For single image exposure correction evaluation, run:

python correctiontest.py