https://github.com/RohanDoshi2018/ZeroshotSemanticSegmentation

Zeroshot learning for semantic segmentation using joint visual-semantic embedding space.
https://github.com/RohanDoshi2018/ZeroshotSemanticSegmentation

Last synced: about 1 month ago
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Zeroshot learning for semantic segmentation using joint visual-semantic embedding space.

• Host: GitHub
• URL: https://github.com/RohanDoshi2018/ZeroshotSemanticSegmentation
• Owner: RohanDoshi2018
• Created: 2018-01-23T03:31:41.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-07-30T18:37:02.000Z (over 6 years ago)
• Last Synced: 2024-08-01T20:36:39.995Z (4 months ago)
• Language: Python
• Homepage:
• Size: 9.6 MB
• Stars: 49
• Watchers: 3
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-computer-vision-papers - 2019NIPS

README

        
# Zero-Shot Semantic Segmentation

> 

- Princeton University Senior Thesis

- Advisor: Professor Olga Russakovsky, Princeton University Department of Computer Science

- Part of the [Princeton VisualAI Lab](http://visualai.princeton.edu/people.html) 

## Project Overview

This is the PyTorch implementation of the seenmask zeroshot network (SZN) described in Rohan Doshi's senior thesis "Zero-shot Semantic Segmentation." Please reference this paper (rohan_doshi_senior_thesis.pdf) to understand the code.

## Installation

** Requirements: **  Conda (with Python 3) and Linux

1. Install Conda 

2. Clone repository

```bash

git clone https://github.com/RohanDoshi2018/ZeroshotSemanticSegmentation.git

cd ZeroshotSemanticSegmentation

```

3. Create new conda environment

```bash

conda create --name thesis_env

```

4. Install Dependencies

```bash

conda install pytorch torchvision -c pytorch

pip install pytz pyyaml scipy fcn jupyter tensorflow tensorboardX

```

5. Activate your conda environment

source activate thesis_env

6. Run code

```

./train.py -c 4 -g 0

```

7. [Optional] Run Tensorboard Server. Use Ngrok tunnel to access server remotely.

```

tensorboard --logdir /opt/visualai/rkdoshi/ZeroshotSemanticSegmentation/tb

```