Automatic Image Background Subtraction

Related tags

Deep Learningbackground-subtraction
Overview

Automatic Image Background Subtraction

GitHub License Python Version

This repo contains set of scripts for automatic one-shot image background subtraction task using the following strategies:

  1. the appropriate background subtraction services (mostly human based):
  1. U-Net human segmentation net + CascadePSP refinement net:
  2. BackgroundMattingV2 net.

Installation

git clone https://github.com/osmr/bgsub.git
cd bgsub
pip install -r requirements.txt

Usage

  1. Launch a script for background subtraction via benzin.io/remove.bg service:
python subtract_bg_service.py --service=<service> --token=<your token> --input=<directory with images> --output=<output directory with binary masks>

Here:

  • service is benzinio for benzin.io service or removebg for remove.bg,
  • token is a service API token value, which you will receive after registering on the selected service,
  • input is a directory with processing JPEG images (can contain subdirectories),
  • output is a directory with resulted PNG binary masks (it is assumed that all original images had unique names).

Optional parameters:

  • middle is a directory with intermediate images with original masks obtained from the service (PNG with alpha mask),
  • ppdir is a flag for adding extra parrent+parrent directory to the output one (should use as --ppdir).
  • threshold is a threshold for mask binarization (default value is 127),
  • url is an optional custom URL for service,
  • jpg is a flag for forced recompression an input image as JPG (should use as --jpg),
  • not-resize is a flag for suppressing forcible scale the mask to the input image (should use as --not-resize).
  1. Launch a script for background subtraction via human segmentation network:
python subtract_bg_human.py --input=<directory with images> --output=<output directory with binary masks>

Here:

  • input is a directory with processing JPEG images (can contain subdirectories),
  • output is a directory with resulted PNG binary masks (it is assumed that all original images had unique names).

Optional parameters:

  • ppdir is a flag for adding extra parrent+parrent directory to the output one (should use as --ppdir).
  • use-cuda is a flag for using CUDA for network inference (should use as --use-cuda).
  1. Launch a script for background subtraction via matting network:
python subtract_bg_matting.py --input=<directory with images> --bg=<background image path> --output=<output directory with binary masks>

Here:

  • input is a directory with processing JPEG images (can contain subdirectories),
  • bg is a background image file path,
  • output is a directory with resulted PNG binary masks (it is assumed that all original images had unique names).

Optional parameters:

  • threshold is a threshold for mask binarization (default value is 127),
  • ppdir is a flag for adding extra parrent+parrent directory to the output one (should use as --ppdir).
  • use-cuda is a flag for using CUDA for network inference (should use as --use-cuda).

Remark

The script does not recalculate the masks if the target images already exist.

You might also like...
Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and feature-level quality metrics such as FID, IS. It can be used for evaluating image denoising, colorization, inpainting, deraining, dehazing etc. where we have access to ground truth.

Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. The repo is built based on full reference image q

Sayed Nadim 10 Jan 1, 2023
This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models are Pix2Pix, Pix2PixHD, CycleGAN and PointWise.

RGB2NIR_Experimental This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models

null 5 Jan 4, 2023
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

H2O H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Fl

H2O.ai 6.1k Jan 5, 2023
⚾🤖⚾ Automatic baseball pitching overlay in realtime
⚾🤖⚾ Automatic baseball pitching overlay in realtime

⚾ Automatically overlaying pitch motion and trajectory with machine learning! This project takes your baseball pitching clips and automatically genera

Tony Chou 240 Dec 5, 2022
DNA-RECON { Automatic Web Reconnaissance Tool }
DNA-RECON { Automatic Web Reconnaissance Tool }

ABOUT TOOL : DNA-RECON is an automatic web reconnaissance tool written in python. This tool made for reconnaissance and information gathering with an

NIKUNJ BHATT 25 Aug 11, 2021
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT CheXbert is an accurate, automated dee

Stanford Machine Learning Group 51 Dec 8, 2022
PyTorch Lightning implementation of Automatic Speech Recognition

lasr Lightening Automatic Speech Recognition An MIT License ASR research library, built on PyTorch-Lightning, for developing end-to-end ASR models. In

Soohwan Kim 40 Sep 19, 2022
automatic color-grading
automatic color-grading

color-matcher Description color-matcher enables color transfer across images which comes in handy for automatic color-grading of photographs, painting

hahnec 168 Jan 5, 2023
Scale-aware Automatic Augmentation for Object Detection (CVPR 2021)
Scale-aware Automatic Augmentation for Object Detection (CVPR 2021)

SA-AutoAug Scale-aware Automatic Augmentation for Object Detection Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia [Paper] [Bi

DV Lab 182 Dec 29, 2022
Owner
Oleg Sémery
Mathematician
Oleg Sémery
GitHub Repository
Mahadi-Now - This Is Pakistani Just Now Login Tools

PAKISTANI JUST NOW LOGIN TOOLS Install apt update apt upgrade apt install python

MAHADI HASAN AFRIDI 19 Apr 06, 2022
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

FGVC8 Exploring Vision Transformers for Fine-grained Classification paper presented at the CVPR 2021, The Eight Workshop on Fine-Grained Visual Catego

Marcos V. Conde 19 Dec 06, 2022
A program that can analyze videos according to the weights you select

MaskMonitor A program that can analyze videos according to the weights you select 下載 訓練完的 weight檔案 執行 MaskDetection.py 內部可更改 輸入來源(鏡頭, 影片, 圖片) 以及輸出條件(人

Patrick_star 1 Nov 07, 2021
Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling

Imbalanced Continual Learning with Partioning Reservoir Sampling This repository contains the official PyTorch implementation and the dataset for our

Chris Dongjoo Kim 40 Sep 18, 2022
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning

Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"

Mathieu Godbout 1 Nov 19, 2021
This is the source code for the experiments related to the paper Unsupervised Audio Source Separation Using Differentiable Parametric Source Models

Unsupervised Audio Source Separation Using Differentiable Parametric Source Models This is the source code for the experiments related to the paper Un

30 Oct 19, 2022
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Jittor: a Just-in-time(JIT) deep learning framework Quickstart | Install | Tutorial | Chinese Jittor is a high-performance deep learning framework bas

2.7k Jan 03, 2023
Parametric Contrastive Learning (ICCV2021)

Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or

DV Lab 156 Dec 21, 2022
TJU Deep Learning & Neural Network

Deep_Learning & Neural_Network_Lab 实验环境 Python 3.9 Anaconda3(官网下载或清华镜像都行) PyTorch 1.10.1(安装代码如下) conda install pytorch torchvision torchaudio cudatool

St3ve Lee 1 Jan 19, 2022
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm Overview Kalman Filter requires the true p

zshicode 57 Dec 27, 2022
Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

0 Jan 23, 2022
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection

Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection Main requirements torch = 1.0 torchvision = 0.2.0 Python 3 Environm

15 Apr 04, 2022
The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends

Who's there? The spiritual successor to knockknock for PyTorch Lightning, to get a notification when your training is complete or when it crashes duri

twsl 70 Oct 06, 2022
This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020

README This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et a

Raghav 42 Dec 15, 2022
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Milano (This is a research project, not an official NVIDIA product.) Documentation https://nvidia.github.io/Milano Milano (Machine learning autotuner

NVIDIA Corporation 147 Dec 17, 2022
Paper list of log-based anomaly detection

Paper list of log-based anomaly detection

Weibin Meng 411 Dec 05, 2022
MvtecAD unsupervised Anomaly Detection

MvtecAD unsupervised Anomaly Detection This respository is the unofficial implementations of DFR: Deep Feature Reconstruction for Unsupervised Anomaly

0 Feb 25, 2022
Manipulation OpenAI Gym environments to simulate robots at the STARS lab

Manipulator Learning This repository contains a set of manipulation environments that are compatible with OpenAI Gym and simulated in pybullet. In par

STARS Laboratory 5 Dec 08, 2022
This is a official repository of SimViT.

SimViT This is a official repository of SimViT. We will open our models and codes about object detection and semantic segmentation soon. Our code refe

ligang 57 Dec 15, 2022
PyTorchMemTracer - Depict GPU memory footprint during DNN training of PyTorch

A Memory Tracer For PyTorch OOM is a nightmare for PyTorch users. However, most

Jiarui Fang 9 Nov 14, 2022