The toolkit to generate auto labeled datasets

Related tags

Deep Learningdatasetobject-detectioninstance-segmentationautolabel
Overview

Ozeu

Ozeu is the toolkit to autolabal dataset for instance segmentation. You can generate datasets labaled with segmentation mask and bounding box from the recorded video files.

Installation

Requirements

  • ffmpeg
  • torch
  • mmcv-full

Example installation command for cuda11.1.

pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

pip install mmcv-full==1.3.5 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html

pip install git+https://github.com/open-mmlab/[email protected]

git clone [email protected]:xiong-jie-y/ozeu.git
cd ozeu
pip install -e .

Usage

1. Record Video

I recommend record video with the camera where you want to run detector. For webcam, you can use command like this.

ffmpeg -f v4l2 -framerate 60 -video_size 1280x720 -i /dev/video0 output_file.mkv

I recommend to place the object to record in a desk or somewhere on simple texture. That will reduce error rate. You can hold the object by your hand, because the dataset generator can recognize and remove hand like this.

2. Create dataset definition file.

You can write dataset definition file in yaml. Please define class names and ids at categories, and please associate class id and video paths in the datasets. The class ids will be the label of the files. video_path is relative to the dataset definition file. Video files that are supported by ffmpeg can be used.

categories:
  - id: 1
    name: alchol sheet
  - id: 2
    name: ipad
datasets:
  - category_id: 2
    video_path: IMG_4194_2.MOV
  - category_id: 2
    video_path: IMG_4195_2.MOV

3. Generate labaled coco dataset.

You can generate labaled coco dataset by giving the dataset definition file above. If you didn't hold object by hand while recording video, you can remove --remove-hand option.

python scripts/create_coco_dataset_from_videos.py  --dataset-definition-file ${DATASET_DEFINITION_FILE} --model-name u2net --output-path ${OUTPUT_DATASET_FOLDER} --resize-factor 2 --fps 15 --remove-hand

4. Generate background augmented datasets.

Please place background images at backgrounds_for_augmentation. The background augmentation script will use these files to replace background of datasets. Here we use VOC images as background images

wget https://pjreddie.com/media/files/VOCtrainval_11-May-2012.tar
--2021-06-02 22:13:22--  https://pjreddie.com/media/files/VOCtrainval_11-May-2012.tar
tar xf VOCtrainval_11-May-2012.tar
mkdir backgrounds_for_augmentation
mv VOCdevkit/VOC2012/JPEGImages/* backgrounds_for_augmentation/

After preparing background images, please generate background augmented dataset by running

python scripts/generate_background_augmented_dataset.py --input-dataset-path ${DATASET_FOLDER} --destination-root ${AUGMENTED_DATASET_FOLDER} --augmentation-mode different_background

5. Merge

You can merge background augmented dataset and dataset.

python scripts/merge_coco_datasets.py --input-dirs ${AUGMENTED_DATASET_FOLDER} --input-dirs ${DATASET_FOLDER} --destination-root ${MERGED_DATASET}

6. (Optional) Import dataset into cvat.

There is the annotation tool CVAT that can accept coco format dataset. So you can import dataset into your project and fix dataset.

7. TRAIN!

TRAIN!!!

Acknowledgement

  • I wish to thank my wife, Remilia Scarlet.
  • This toolkit uses U^2 net for salient object detection. Thank you for nice model!
You might also like...
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes

Microsoft 17k Feb 11, 2021
Official PyTorch implementation of
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets This is the official PyTorch implementation for the paper Rapid Neural A

null 48 Dec 26, 2022
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

About This repository provides data and code for the paper: Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development (subm

Appen Repos 86 Dec 7, 2022
Asterisk is a framework to generate high-quality training datasets at scale
Asterisk is a framework to generate high-quality training datasets at scale

Asterisk is a framework to generate high-quality training datasets at scale

Mona Nashaat 44 Apr 25, 2022
Experimenting with computer vision techniques to generate annotated image datasets from gameplay recordings automatically.

Experimenting with computer vision techniques to generate annotated image datasets from gameplay recordings automatically. The collected data will then be used to train a deep neural network that can detect enemy player models in real time, during gameplay. Finally, a virtual input device will adjust the player's crosshair based on live detections for greater accuracy.

Martin Valchev 3 Apr 24, 2022
根据midi文件演奏“风物之诗琴”的脚本
根据midi文件演奏“风物之诗琴”的脚本 "Windsong Lyre" auto play

Genshin-lyre-auto-play 简体中文 | English 简介 根据midi文件演奏“风物之诗琴”的脚本。由Python驱动,在此承诺， ⚠️ 项目内绝不含任何能够引起安全问题的代码。 前排提示：所有键盘在动但是原神没反应的都是因为没有管理员权限，双击run.bat或者以管理员模式

御坂17032号 386 Jan 1, 2023
Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020

Likelihood-Regret Official implementation of Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020. T

Xavier 33 Oct 12, 2022
Add-on for importing and auto setup of character creator 3 character exports.

CC3 Blender Tools An add-on for importing and automatically setting up materials for Character Creator 3 character exports. Using Blender in the Chara

null 260 Jan 5, 2023
Offcial repository for the IEEE ICRA 2021 paper Auto-Tuned Sim-to-Real Transfer.

Offcial repository for the IEEE ICRA 2021 paper Auto-Tuned Sim-to-Real Transfer.

null 47 Jun 30, 2022
Releases(0.0.1dev4)
Owner
Xiong Jie
Software Engineer, maybe? https://twitter.com/_xiongjie_
Xiong Jie
GitHub Repository
Ensemble Visual-Inertial Odometry (EnVIO)

Ensemble Visual-Inertial Odometry (EnVIO) Authors : Jae Hyung Jung, Yeongkwon Choe, and Chan Gook Park 1. Overview This is a ROS package of Ensemble V

Jae Hyung Jung 95 Jan 03, 2023
Reading Group @mila-iqia on Computational Optimal Transport for Machine Learning Applications

Computational Optimal Transport for Machine Learning Reading Group Over the last few years, optimal transport (OT) has quickly become a central topic

Ali Harakeh 11 Aug 26, 2022
Efficient face emotion recognition in photos and videos

This repository contains code of face emotion recognition that was developed in the RSF (Russian Science Foundation) project no. 20-71-10010 (Efficien

Andrey Savchenko 239 Jan 04, 2023
Multi-objective gym environments for reinforcement learning.

MO-Gym: Multi-Objective Reinforcement Learning Environments Gym environments for multi-objective reinforcement learning (MORL). The environments follo

Lucas Alegre 74 Jan 03, 2023
A framework for attentive explainable deep learning on tabular data

🧠 kendrite A framework for attentive explainable deep learning on tabular data 💨 Quick start kedro run 🧱 Built upon Technology Description Links ke

Marnix Koops 3 Nov 06, 2021
LSTM-VAE Implementation and Relevant Evaluations

LSTM-VAE Implementation and Relevant Evaluations Before using any file in this repository, please create two directories under the root directory name

Lan Zhang 5 Oct 08, 2022
Irrigation controller for Home Assistant

Irrigation Unlimited This integration is for irrigation systems large and small. It can offer some complex arrangements without large and messy script

Robert Cook 176 Jan 02, 2023
.NET bindings for the Pytorch engine

TorchSharp TorchSharp is a .NET library that provides access to the library that powers PyTorch. It is a work in progress, but already provides a .NET

Matteo Interlandi 17 Aug 30, 2021
Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal"

Patch-wise Adversarial Removal Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

4 Oct 12, 2022
Small utility to demangle Nim symbols in callgrind files

nim_callgrind A small utility to demangle Nim symbols from callgrind files. Usage Run your (Nim) program with something like this: valgrind --tool=cal

kraptor 3 Feb 15, 2022
PyTorch(Geometric) implementation of G^2GNN in "Imbalanced Graph Classification via Graph-of-Graph Neural Networks"

This repository is an official PyTorch(Geometric) implementation of G^2GNN in "Imbalanced Graph Classification via Graph-of-Graph Neural Networks". Th

Yu Wang (Jack) 13 Nov 18, 2022
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment This repository is related to the paper DEEPAGÉ: Answering Questions in Por

0 Dec 10, 2021
Model of an AI powered sign language interpreter.

TEXT AND SPEECH TO SIGN LANGUAGE. A web application which takes in text or live audio speech recording as input, converts and displays the relevant Si

Mark Gatere 4 Mar 30, 2022
Learning View Priors for Single-view 3D Reconstruction (CVPR 2019)

Learning View Priors for Single-view 3D Reconstruction (CVPR 2019) This is code for a paper Learning View Priors for Single-view 3D Reconstruction by

Hiroharu Kato 38 Aug 17, 2022
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021 Accepted

NU-Wave — Official PyTorch Implementation NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee, Seungu Han @ MINDsLab Inc

MINDs Lab 242 Dec 23, 2022
Semantic Image Synthesis with SPADE

Semantic Image Synthesis with SPADE New implementation available at imaginaire repository We have a reimplementation of the SPADE method that is more

NVIDIA Research Projects 7.3k Jan 07, 2023
Tools for manipulating UVs in the Blender viewport.

UV Tool Suite for Blender A set of tools to make editing UVs easier in Blender. These tools can be accessed wither through the Kitfox - UV panel on th

35 Oct 29, 2022
Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting

Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting Note: You can find here the accompanying seq2seq RNN forecas

Guillaume Chevalier 1k Dec 25, 2022
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

TorchMD 104 Jan 03, 2023
git《Tangent Space Backpropogation for 3D Transformation Groups》(CVPR 2021) GitHub:1]

LieTorch: Tangent Space Backpropagation Introduction The LieTorch library generalizes PyTorch to 3D transformation groups. Just as torch.Tensor is a m

Princeton Vision & Learning Lab 482 Jan 06, 2023