OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

Related tags

Deep Learningopencvpillowsemantic-segmentationgrabcutpysimplegui
Overview

[Japanese/English]

GrabCut-Annotation-Tool

GrabCut-Annotation-Tool.mp4

OpenCVのGrabCut()を利用したアノテーションツールです。
セマンティックセグメンテーション向けのデータセット作成にご使用いただけます。
※GrabCutのアルゴリズムの都合上、境界がはっきりしているデータのアノテーションに向いています。

Requirement

  • opencv-python 4.5.2.54 or later
  • Pillow 7.2.0 or later
  • PySimpleGUI 4.32.1 or later

Directory

│  app.py
│  config.json
│  
├─core
│  │  gui.py
│  └─util.py
│          
├─input
│      
└─output
    ├─image
    └─annotation

app.py, core/gui.py, core/util.py

ソースコードです。

input

アノテーション対象の画像ファイルを格納するディレクトリです。

output

アノテーション結果を保存するディレクトリです。

  • image：リサイズした画像が格納されます
  • annotation：アノテーション結果が格納されます
    ※パレットモードのPNG形式で保存

Usage

次のコマンドで起動してください。

python app.py

起動時には以下オプションが指定可能です。

  • --input
    入力画像格納パス
    デフォルト：input
  • --output_image
    アノテーション結果(画像)の格納パス
    デフォルト：output/image
  • --output_annotation
    アノテーション結果(セグメンテーション画像)の格納パス
    デフォルト：output/annotation
  • --config
    ロードするコンフィグファイル
    デフォルト：config.json

Using GrabCut-Annotation-Tool

ファイル選択

ファイル一覧をクリックすることでアノテーション対象を切り替えることが出来ます。
ショートカットキー　↑、p：上のファイルへ　↓、n：下のファイルへ

初期ROI指定

「Select ROI」と表示されている時にマウス右ドラッグで初期ROIを指定できます。


ドラッグ終了後、GrabCut処理が行われます。


領域が選択されます。


後景指定

マウス右ドラッグで後景の指定が出来ます。




前景指定

「Manually label background」のチェックを外すことで前景指定に切り替えることが出来ます
ショートカットキー　Ctrl


マウス右ドラッグで前景の指定が出来ます。




クラスID切り替え

Class IDのチェックボックスを押すことでクラスIDを切り替えることが出来ます。
一桁のIDはショートカットキーでの切り替えも可能です。
ショートカットキー　0-9


クラスID切り替え後はROI指定を行う必要があります。




自動保存

リサイズ画像とアノテーション画像はGrabCut処理毎に自動保存されます。


自動保存をしたくない場合は「Auto save」のチェックを外してください。
自動保存以外で保存したい場合は、キーボード「s」を押してください。


その他設定


  • Mask alpha：画像のマスク重畳表示の濃淡具合
  • Iteration：GrabCutアルゴリズムのイテレーション回数
  • Draw thickness：前景/後景指定時の線の太さ
  • Output width：出力画像の横幅
  • Output height：出力画像の縦幅

ToDo

  • メモリリーク対策
  • ROI選択時に左上→右下ドラッグ以外も可能にする
  • クラスIDをショートカットキーで選択した際にROI選択表示にする

Author

高橋かずひと(https://twitter.com/KzhtTkhs)

License

GrabCut-Annotation-Tool is under Apache-2.0 License.

サンプル画像はフリー素材ぱくたそ様の写真を利用しています。

You might also like...
IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL.
IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL.

IJON SPACE EXPLORER IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL. Using only a small (usually one line) annotati

Chair for Sys­tems Se­cu­ri­ty 146 Dec 16, 2022
Mae segmentation - Reproduction of semantic segmentation using masked autoencoder (mae)

ADE20k Semantic segmentation with MAE Getting started Install the mmsegmentation

null 97 Dec 17, 2022
Object detection using yolo-tiny model and opencv used as backend
Object detection using yolo-tiny model and opencv used as backend

Object detection Algorithm used : Yolo algorithm Backend : opencv Library required: opencv = 4.5.4-dev' Quick Overview about structure 1) main.py Load

null 2 Jul 6, 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

Learning Pixel-level Semantic Affinity with Image-level Supervision This code is deprecated. Please see https://github.com/jiwoon-ahn/irn instead. Int

Jiwoon Ahn 337 Dec 15, 2022
A embed able annotation tool for end to end cross document co-reference
A embed able annotation tool for end to end cross document co-reference

CoRefi CoRefi is an emebedable web component and stand alone suite for exaughstive Within Document and Cross Document Coreference Anntoation. For a de

PythicCoder 39 Dec 12, 2022
A graphical Semi-automatic annotation tool based on labelImg and Yolov5
A graphical Semi-automatic annotation tool based on labelImg and Yolov5

💕YOLOV5 semi-automatic annotation tool (Based on labelImg)

EricFang 247 Jan 5, 2023
Open source annotation tool for machine learning practitioners.
Open source annotation tool for machine learning practitioners.

doccano doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequ

null 7.1k Jan 1, 2023
ObjectDrawer-ToolBox: a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system
ObjectDrawer-ToolBox: a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system

ObjectDrawer-ToolBox is a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system, Object Drawer.

null 77 Jan 5, 2023
performing moving objects segmentation using image processing techniques with opencv and numpy
performing moving objects segmentation using image processing techniques with opencv and numpy

Moving Objects Segmentation On this project I tried to perform moving objects segmentation using background subtraction technique. the introduced meth

Mohamed Magdy 15 Dec 12, 2022
Comments
  • Memory leak in PySimpleGUI Graph.

    Memory leak in PySimpleGUI Graph.

    core/gui.py

    You need to clear the canvas before using draw_image(). Otherwise, canvases will continue to be added and memory leaks will occur.

            self._window['-IMAGE ORIGINAL-'].draw_image(
            data=bytes_image,
            location=(0, imaga_height),
        )

    You need to call delete_figure() as follows:

            if self._graph_image_id is not None:
            self._window['-IMAGE ORIGINAL-'].delete_figure(self._graph_image_id)

        self._graph_image_id = self._window['-IMAGE ORIGINAL-'].draw_image(
            data=bytes_image,
            location=(0, imaga_height),
        )
    opened by Kazuhito00 1
  • WOW! What an amazing program!

    WOW! What an amazing program!

    I stumbled onto your project the other day and had to look, multiple times, to see that it is a PySimpleGUI-based program. Very nicely done! Thanks for the great screenshots in your readme. I'm sure visitors are enjoying the show as much as I have.

    opened by PySimpleGUI 1
Releases(v0.1.3)
Owner
KazuhitoTakahashi
KazuhitoTakahashi
GitHub Repository
The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"

MultiModal-Collaborative (MMC) Learning Framework for integrating RGB and Thermal spectral modalities This is the official code for NeurIPS 2021 Machi

NeurAI 12 Nov 02, 2022
Snscrape-jsonl-urls-extractor - Extracts urls from jsonl produced by snscrape

snscrape-jsonl-urls-extractor extracts urls from jsonl produced by snscrape Usag

1 Feb 26, 2022
Minecraft agent to farm resources using reinforcement learning

BarnyardBot CS 175 group project using Malmo download BarnyardBot.py into the python examples directory and run 'python BarnyardBot.py' in the console

0 Jul 26, 2022
Detecting drunk people through thermal images using Deep Learning (CNN)

Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab

Giacomo Ferretti 3 Oct 27, 2022
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training By Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue. This

290 Dec 29, 2022
[CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Visual-Reasoning-eXplanation [CVPR 2021 A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts] Project Page | Vid

Andy_Ge 54 Dec 21, 2022
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

CSDI This is the github repository for the NeurIPS 2021 paper "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

106 Jan 04, 2023
Autonomous Movement from Simultaneous Localization and Mapping

Autonomous Movement from Simultaneous Localization and Mapping About us Built by a group of Clarkson University students with the help from Professor

14 Nov 07, 2022
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019) Introduction Official implementation of Dynamic Multi-scale Filters for Semant

23 Oct 21, 2022
SMPLpix: Neural Avatars from 3D Human Models

subject0_validation_poses.mp4 Left: SMPL-X human mesh registered with SMPLify-X, middle: SMPLpix render, right: ground truth video. SMPLpix: Neural Av

Sergey Prokudin 292 Dec 30, 2022
NeurIPS 2021, self-supervised 6D pose on category level

SE(3)-eSCOPE video | paper | website Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li, Yijia Weng,

Xiaolong 63 Nov 22, 2022
YoloV3 Implemented in Tensorflow 2.0

YoloV3 Implemented in TensorFlow 2.0 This repo provides a clean implementation of YoloV3 in TensorFlow 2.0 using all the best practices. Key Features

Zihao Zhang 2.5k Dec 26, 2022
A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.

mocap4face by Facemoji mocap4face by Facemoji is a free, multiplatform SDK for real-time facial motion capture based on Facial Action Coding System or

Facemoji 591 Dec 27, 2022
This is 2nd term discrete maths project done by UCU students that uses backtracking to solve various problems.

Backtracking Project Sponsors This is a project made by UCU students: Olha Liuba - crossword solver implementation Hanna Yershova - sudoku solver impl

Dasha 4 Oct 17, 2021
Source code for our paper "Do Not Trust Prediction Scores for Membership Inference Attacks"

Do Not Trust Prediction Scores for Membership Inference Attacks Abstract: Membership inference attacks (MIAs) aim to determine whether a specific samp

<a href=[email protected]"> 3 Oct 25, 2022
PyTorch implementation of "Optimization Planning for 3D ConvNets"

Optimization-Planning-for-3D-ConvNets Code for the ICML 2021 paper: Optimization Planning for 3D ConvNets. Authors: Zhaofan Qiu, Ting Yao, Chong-Wah N

Zhaofan Qiu 2 Jan 12, 2022
This repository consists of Blender python scripts and corresponding assets to generate variants of the CANDLE dataset

candle-simulator This repository consists of Blender python scripts and corresponding assets to generate variants of the IITH-CANDLE dataset. The rend

1 Dec 15, 2021
MultiTaskLearning - Multi Task Learning for 3D segmentation

Multi Task Learning for 3D segmentation Perception stack of an Autonomous Drivin

2 Sep 22, 2022
Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code.

Build Low Code Automated Tensorflow explainable models in just 3 lines of code.

Hasan Rafiq 170 Dec 26, 2022
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle

Yunjey Choi 864 Dec 30, 2022