KITTI-360 Annotation Tool is a framework that developed based on python(cherrypy + jinja2 + sqlite3) as the server end and javascript + WebGL as the front end.

Overview

KITTI-360 Annotation Tool

KITTI-360 Annotation Tool is a framework that developed based on python(cherrypy + jinja2 + sqlite3) as the server end and javascript + WebGL as the front end. It is the annotation tool used to annotate the KITTI-360(TBD: paper link) dataset.

Dependences

sudo apt install python-pip
pip install jinja2
pip install cherrypy
sudo apt install sqlite3 libsqlite3-dev

Quick Demo

  • Download the data for the demo with the following command:
./download_demo_data.sh
  • Start the web server with the following command:
./run_demo.sh

Demo in Details

1. Setup the data

Prepare data and put it in public/data/, or you can create a symbolic link from where the data is to public/data/

2. Configure user-task assignment

The user and task data is kept in db_import/. Example files have been included in db_import/*.tmp.

  • users.txt

    Each line is one user information in the following order:

    Email Name UserId Password IsAdmin
    
  • taskLists.txt

    Each line is one user-task information in the following order:

    TaskId UserId Editable
    

    where Editable is a number indicating:

    Editable = 0: readonly (User can only view the annotation)

    Editable = 1: normal (User can view, annotate, and submit results)

    Editable = 2: playground (User can view, annotate, but not submit results)

Note: space is not allowed in each item. So use '_' or other characters to connect words

3. Setup database

Once the user/task file is setup based on the above rules, to set up database, run

python create_db.py

4. Setup the host and port address

Setup the host and port address in server.conf, here is an example:

[global]
server.socket_host = "127.0.0.1" # host to be modified
server.socket_port = 8080        # port to be modified (e.g. 2000)

5. Start the server

python labelApp.py

6. Load the web page

Type http://host:port in the browser to load the web page. For example in the demo the web app is started locally in http://127.0.0.1:8080.

7. Play with the labeling interface

Please find details of annotation instruction here.

8. Get annotation results

Annotation results are saved in xml file under public/results/. We provide util functions to parse the xml file in https://github.com/autonomousvision/kitti360Scripts/blob/master/kitti360scripts/helpers/annotation.py#L353.

Folder Structure

.(ROOT)
|
+-- assets
|   |
|   +-- css
|   |
|   +-- javascripts: javascript source code
|
+-- db: generated database (by running create_db.py)
|
+-- db_import
|    |
|    +-- user-task configuration files
|
+-- public
|    |
|    +-- backup: backup XML annotation files, which are automatically saved during annotation
|    |
|    +-- data: annotation data
|    |
|    +-- resource: resource files such as icon
|    |
|    +-- results: resultant XML annotation files
|    |
|    +-- mapping.txt: label mergining file
|    |
|    +-- colorList.txt: label color mapping file
|
+-- views: HTML pages

Common Problems and Solutions

Q1: "socket.error: (98, 'Address already in use')"

A1: Kill the existing processor and re-restart the server. To kill the existing processor:

  1. Run ps aux | grep python in command-line.

  2. Find the PID with user name = annot, and run sudo kill -9 PID.

Citing KITTI-360 Annotation Tool

If you find this code helpful in your research, please use the following BibTeX entry.

@article{Liao2021ARXIV, 
   title   = {{KITTI}-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D}, 
   author  = {Yiyi Liao and Jun Xie and Andreas Geiger}, 
   journal = {arXiv.org},
   volume  = {2109.13410},
   year    = {2021}, 
}

License


Copyright 2018 Autonomous Vision Group

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Have you ever wondered how cool it would be to have your own A.I

Have you ever wondered how cool it would be to have your own A.I. assistant Imagine how easier it would be to send emails without typing a single word, doing Wikipedia searches without opening web br

Harsh Gupta 1 Nov 09, 2021
PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning

PiCO: Contrastive Label Disambiguation for Partial Label Learning This is a PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambig

王皓波 147 Jan 07, 2023
Code for weakly supervised segmentation of a single class

SingleClassRL Implementation of weak single object segmentation from paper "Regularized Loss for Weakly Supervised Single Class Semantic Segmentation"

16 Nov 14, 2022
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network

Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb

Mustapha Unubi Momoh 2 Sep 13, 2022
The Agriculture Domain of ERPNext comes with features to record crops and land

Agriculture The Agriculture Domain of ERPNext comes with features to record crops and land, track plant, soil, water, weather analytics, and even trac

Frappe 21 Jan 02, 2023
Denoising images with Fourier Ring Correlation loss

Denoising images with Fourier Ring Correlation loss The python code accompanies the working manuscript Image quality measurements and denoising using

2 Mar 12, 2022
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion

Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion Preface This directory provides an implementation of the algori

Jean-Samuel Leboeuf 0 Nov 03, 2021
FastyAPI is a Stack boilerplate optimised for heavy loads.

FastyAPI A FastAPI based Stack boilerplate for heavy loads. Explore the docs » View Demo · Report Bug · Request Feature Table of Contents About The Pr

Ali Chaayb 47 Dec 27, 2022
Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

Learning the Best Pooling Strategy for Visual Semantic Embedding Official PyTorch implementation of the paper Learning the Best Pooling Strategy for V

Jiacheng Chen 106 Jan 06, 2023
​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch

Microsoft 983 Dec 23, 2022
Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021)

Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021) Zeyu Wang, Sherry Qiu, Nicole Feng, Holly Rushmeier, Leonard McMill

Zach Zeyu Wang 23 Dec 09, 2022
Official Repo for ICCV2021 Paper: Learning to Regress Bodies from Images using Differentiable Semantic Rendering

[ICCV2021] Learning to Regress Bodies from Images using Differentiable Semantic Rendering Getting Started DSR has been implemented and tested on Ubunt

Sai Kumar Dwivedi 83 Nov 27, 2022
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues

RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues FGBG (foreground-background) pytorch package for defining and training model

Klaas Kelchtermans 1 Jun 02, 2022
A collection of easy-to-use, ready-to-use, interesting deep neural network models

Interesting and reproducible research works should be conserved. This repository wraps a collection of deep neural network models into a simple and un

Aria Ghora Prabono 16 Jun 16, 2022
KwaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)

KuaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%) KuaiRec is a real-world dataset collected from the recommendation log

Chongming GAO (高崇铭) 70 Dec 28, 2022
Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

DeepOrder Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing". Project

6 Nov 07, 2022
[WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"

DRAGON: From Generalized zero-shot learning to long-tail with class descriptors Paper Project Website Video Overview DRAGON learns to correct the bias

Dvir Samuel 25 Dec 06, 2022
Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"

HKD Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks" cifia-100 result The implementation of compared methods are ba

Wang Yucheng 30 Dec 18, 2022
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting

Official code of APHYNITY Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting (ICLR 2021, Oral) Yuan Yin*, Vincent Le Guen*

Yuan Yin 24 Oct 24, 2022
Measuring and Improving Consistency in Pretrained Language Models

ParaRel 🤘 This repository contains the code and data for the paper: Measuring and Improving Consistency in Pretrained Language Models as well as the

Yanai Elazar 26 Dec 02, 2022