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This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

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Salient-Object-Detection

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

Pretrained Model

https://drive.google.com/drive/folders/0B6l9O8aWij8fUGtVNldUTXA4eHc?resourcekey=0-h1RonqWwyH-Z0jgRLVC4mQ&usp=sharing

Usage

1. Download pretrained model and put them under folder "salience_model" ,(need to create folder yourself)
2. run code

If you want to test whole folder images, run this:

python inference.py --rgb_folder=[your folder]

sample:

python inference.py --rgb_folder=./test

If you want to test only one image,run this:

python inference.py --rgb=[your image]

sample:

python inference.py --rgb=animal1.jpg

Sample

Sample

more detail please read source code.

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This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

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