Source code to reproduce results from
Efficient semantic segmentation with pyramidal fusion
Marin Oršić, Siniša Šegvić
Pattern Recognition, 2020.
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
Marin Oršić*, Ivan Krešo*, Siniša Šegvić, Petra Bevandić (* denotes equal contribution)
CVPR, 2019.
pip install -r requirements.txt
From https://www.cityscapes-dataset.com/downloads/ download:
Either download and extract to datasets/
or create a symbolic link datasets/Cityscapes
Expected dataset structure for Cityscapes is:
labels/
train/
aachen/
aachen_000000_000019.png
...
...
val/
...
rgb/
train/
aachen/
aachen_000000_000019.png
...
...
val/
...
weights
directory.Set evaluating = True
inside config file (eg. configs/rn18_single_scale.py
) and run:
python eval.py configs/rn18_single_scale.py
python train.py configs/rn18_single_scale.py --store_dir=/path/to/store/experiments