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PSPNet with PyTorch

Unofficial implementation of "Pyramid Scene Parsing Network" (https://arxiv.org/abs/1612.01105). This repository is just for caffe to pytorch model conversion and evaluation.

Requirements

Preparation

Instead of building the author's caffe implementation, you can convert off-the-shelf caffemodels to pytorch models via the caffe.proto.

1. Compile the caffe.proto for Python API

This step can be skipped. FYI.<br> Download the author's caffe.proto into the libs, not the one in the original caffe.

# For protoc command
pip install protobuf
# This generates ./caffe_pb2.py
protoc --python_out=. caffe.proto

2. Model conversion

  1. Find the caffemodels on the author's page (e.g. pspnet50_ADE20K.caffemodel) and store them to the data/models/ directory.
  2. Convert the caffemodels to .pth file.
python convert.py -c <PATH TO YAML>

Demo

python demo.py -c <PATH TO YAML> -i <PATH TO IMAGE>

demo

Evaluation

PASCAL VOC2012 only. Please set the dataset path in config/voc12.yaml.

python eval.py -c config/voc12.yaml

88.1% mIoU (SS) and 88.6% mIoU (MS) on validation set.<br> NOTE: 3 points lower than caffe implementation. WIP

References