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Detail-Sensitive Panoramic Annular Semantic Segmentation
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eval_swaftnet
README.md
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README.md

DS-PASS

Detail-Sensitive Panoramic Annular Semantic Segmentation

PASS Dataset

GoogleDrive

New! Google Drive Download Link

BaiduYun

For Validation (Most important files):

Unfolded Panoramas for Validation, (400 images)

Annonations, (400 annotation images)

Groundtruth

There are 400 panoramas with annotations. Please use the Annotations data for evaluation.

In total, there are 1050 panoramas. Complete Panoramas:

All Unfolded Panoramas

RAW Panoramas: RAW1, RAW2, RAW3

Panorama Sequences Captured by Instrumented Vehicle

Sequence1 Sequence2 Sequence3

Panorama Sequences Captured by Mobile Robot

Sequences

Code Usage

Download the Model (model_superbest.pth) from Trained-SwaftNet-Model

python3.6 eval_cityscapes_color_1.py --datadir /home/kailun/Downloads/DS-PASS-master/eval_swaftnet/data/ --subset val --loadDir ../eval_swaftnet/ --loadWeights model_superbest.pth --loadModel swaftnet.py

Example segmentation

Publications

If you use our code or dataset, please consider citing our paper:

DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing. K. Yang, X. Hu, H. Chen, K. Xiang, K. Wang, R. Stiefelhagen. arxiv preprint arxiv: 1909.07721, 2019. [PDF]

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