# AutoDeeplab

**Repository Path**: magic_public_transportation/AutoDeeplab

## Basic Information

- **Project Name**: AutoDeeplab
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-11
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AutoDeeplab

This is an implementation of [Auto-DeepLab](https://arxiv.org/abs/1901.02985) using Pytorch.

## Environment

The implementation needs the following dependencies:  

- Python = 3.7 

- Pytorch = 0.4 

- TensorboardX

Other basic dependencies like matplotlib, tqdm ... are also needed.

## Installation

First, clone the repository

    git clone https://github.com/MenghaoGuo/AutoDeeplab.git
    
Then

    cd AutoDeeplab

## Train

The dataloader module is built on this [repo](https://github.com/jfzhang95/pytorch-deeplab-xception)

If you want to train this model on different datasets, you need to edit --dataset parameter and then:

    bash train_voc.sh


## Reference
[1] : [Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation](https://arxiv.org/abs/1901.02985)


[2] : [pytorch-deeplab-xception](https://github.com/jfzhang95/pytorch-deeplab-xception)