# Salient-Object-Detection

**Repository Path**: joezhumin/Salient-Object-Detection

## Basic Information

- **Project Name**: Salient-Object-Detection
- **Description**: This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-06-21
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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

<h3>Pretrained Model</h3>
https://drive.google.com/open?id=0B6l9O8aWij8fUGtVNldUTXA4eHc

<h3>Usage</h3>
1. Download pretrained model and put them under folder "salience_model" ,(need to create folder yourself)<br />
2. run code<br />

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
```

<h3>Sample</h3>

![Sample](samples/1.png)

more detail please read source code.