- Python2.7
- Pytorch0.2.0_3 (see: pytorch installation instuctions)
- torchvision
This repo is built for scene change detection. We report the performance on three datasets.
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PCD2015 dataset
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paper: Change detection from a street image pair using cnn features and superpixel segmentation
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dataset: http:https://www.vision.is.tohoku.ac.jp/us/research/4d_city_modeling/pano_cd_dataset/
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VL_CMU_CD dataset
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paper: Street-view change detection with deconvolutional networks
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CD2014 dataset
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paper: changedetection.net: A new change detection benchmark dataset
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dataset: http:https://changedetection.net/
We have uploaded the modified CD2014 dataset to [baiduyun][googledrive], if you find cd2014 dataset is useful for your research, please cite the paper:
@inproceedings{Goyette2012changedetection,
title={changedetection.net: A New Change Detection Benchmark Dataset},
author={Goyette, Nil and Jodoin, Pierre Marc and Porikli, Fatih and Konrad, Janusz and Ishwar, Prakash},
booktitle={Computer Vision and Pattern Recognition Workshops},
pages={1-8},
year={2012},
}
File Structure is as follows:
$T0_image_path/*.jpg
$T1_image_path/*.jpg
$ground_truth_path/*.jpg
Backbone model, which is deeplabv2 [baiduyun] [googledriver]in our work, is available, you should download it and put it to /pretrain
Pretrained models for PCD2015 and VL_CMU_CD also have been available.
- PCD2015: [baiduyun] [googledrive]
- VL_CMU_CD: [baiduyun] [googledrive]
cd $SCD_ROOT
python train.py