A PyTorch implementation of PointRend: Image Segmentation as Rendering
[arxiv] [Official Repo] : Detectron2 (unopend now)
This repo for Only Semantic Segmentation on the PascalVOC dataset.
Many details differ from the paper for feasibilty check.
Sampled Points showing from different strategies on A Dog image.
Original Figure
Reference : Pytorch Deeplab Tutorial
First, fix data path in default.yaml
➜ python3 train.py -h
usage: train.py [-h] config save
PyTorch Object Detection Training
positional arguments:
config It must be config/*.yaml
save Save path in out directory
optional arguments:
-h, --help show this help message and exit
e.g.)
python3 train.py config/default.yaml test_codes