Python Library for Signal/Image Data Analysis with Transport Methods

Overview

PyTransKit

Python Transport Based Signal Processing Toolkit

Website and documentation: https://pytranskit.readthedocs.io/

Installation

The library could be installed through pip

pip install pytranskit

Alternately, you could clone/download the repository and add the pytranskit directory to your Python path

import sys
sys.path.append('path/to/pytranskit')

from pytranskit.optrans.continuous.cdt import CDT

Low Level Functions

CDT, SCDT

R-CDT

CLOT

  • Continuous Linear Optimal Transport Transform (CLOT) tutorial [notebook] [nbviewer]

Classification Examples

  • CDT Nearest Subspace (CDT-NS) classifier for 1D data [notebook] [nbviewer]
  • SCDT Nearest Subspace (SCDT-NS) classifier for 1D data [8] [notebook] [nbviewer]
  • Radon-CDT Nearest Subspace (RCDT-NS) classifier for 2D data [4] [notebook] [nbviewer]
  • 3D Radon-CDT Nearest Subspace (3D-RCDT-NS) classifier for 3D data [notebook] [nbviewer]

Estimation Examples

Transport-based Morphometry

  • Transport-based Morphometry to detect and visualize cell phenotype differences [7] [notebook] [nbviewer]

References

  1. The cumulative distribution transform and linear pattern classification, Applied and Computational Harmonic Analysis, November 2018
  2. The Radon Cumulative Distribution Transform and Its Application to Image Classification, IEEE Transactions on Image Processing, December 2015
  3. A continuous linear optimal transport approach for pattern analysis in image datasets, Pattern Recognition, March 2016
  4. Radon cumulative distribution transform subspace modeling for image classification, Journal of Mathematical Imaging and Vision, 2021
  5. Parametric Signal Estimation Using the Cumulative Distribution Transform, IEEE Transactions on Signal Processing, May 2020
  6. The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification, ArXiv 2021
  7. Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry, PNAS 2014
  8. Nearest Subspace Search in the Signed Cumulative Distribution Transform Space for 1D Signal Classification, ArXiv 2021

Resources

External website http://imagedatascience.com/transport/

You might also like...
 Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport
Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport

Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport This GitHub page provides code for reproducing the results i

Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted)
Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted)

NLOS-OT Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted) Description In this reposit

Universal Probability Distributions with Optimal Transport and Convex Optimization

Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing

A general and strong 3D object detection codebase that supports more methods, datasets and tools (debugging, recording and analysis).

ALLINONE-Det ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (de

Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools

Deep-rPPG: Camera-based pulse estimation using deep learning tools Deep learning (neural network) based remote photoplethysmography: how to extract pu

The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"

GSDN-F and GSDN-EF This repository provides a reference implementation of GSDN-F and GSDN-EF as described in the paper "Understanding Graph Neural Net

Code release for the ICML 2021 paper "PixelTransformer: Sample Conditioned Signal Generation".

PixelTransformer Code release for the ICML 2021 paper "PixelTransformer: Sample Conditioned Signal Generation". Project Page Installation Please insta

Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectrum sensing.

Deep-Learning-based-Spectrum-Sensing Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectru

A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi

LSTM-Time-Series-Prediction A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi Contest. The Link of the Cont

Comments
  • Problem installing `bluepy` from the repo.

    Problem installing `bluepy` from the repo.

    Problem: for my machine (machine spec mentioned below), installing requirements on this repo, as given in requirements.txt throws the following error.

    error: legacy-install-failure
    
    × Encountered error while trying to install package.
    ╰─> bluepy
    
    note: This is an issue with the package mentioned above, not pip.
    hint: See above for output from the failure.
    

    This error is in context with mention of bluepy in requirements.txt.

    Machine Specs:

    1. miniconda venv for python 3.9.12 running on MacOS Monterey; CPU: Apple M2.
    2. miniconda venv for python 3.10.4 running on Ubuntu Jammy Jellyfish; CPU: AMD Ryzen.

    Interesting Note: I don't find bluepy being directly imported in the code on the master or the CDT-app-gui branch.

    Proposed Solution:

    1. Remove bluepy from requirements.txt

    Note: This is not a problem with installing PyTranskit itself. It installs pretty gracefully through pip.

    opened by Ujjawal-K-Panchal 1
  • Changed filter to filter_name

    Changed filter to filter_name

    In the radoncdt.py file passing the option filter was not working since scikit-image expects the key filter_name.

    Tutorial 2 was failing for this reason.

    opened by giovastabile 0
  • Create a

    Create a "NS" classifier

    Create a "NS" classifier, as an standalone implementation of the nearest subspace classification method. The "RCDT_NS" and "CDT-NS" classifier can be a subclass of this classifier.

    opened by xuwangyin 0
  • Issue when setting forward('rm_edge = True')

    Issue when setting forward('rm_edge = True')

    This possibly just needs an edit to reduce the size of the reference signal array alongside the reduction in size of the signal with removed edges.

    File "\RCDT_Basic_Tests.py", line 115, in <module>
        Irev = rcdt.inverse(Ihat, temp, nlims)
    
      File "\pytranskit\optrans\continuous\radoncdt.py", line 123, in inverse
        return self.apply_inverse_map(transport_map, sig0, x1_range)
    
      File "\pytranskit\optrans\continuous\radoncdt.py", line 235, in apply_inverse_map
        sig1_recon = match_shape2d(sig0, sig1_recon)
    
      File "\pytranskit\optrans\utils\data_utils.py", line 81, in match_shape2d
        raise ValueError("A is bigger than B: "
    
    ValueError: A is bigger than B: (250, 250) vs (248, 248)
    
    opened by TobiasLong 0
Releases(0.1)
[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks, ICLR 2021 (Spotlight) Demo | Paper [NEW!] Time to play with our interac

Shengyu Zhao 373 Jan 02, 2023
The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".

IGMTF The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting". Requirements The framework

Wentao Xu 24 Dec 05, 2022
Official Implementation of "Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras"

Multi Camera Pig Tracking Official Implementation of Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras CVPR2021 CV4Animals Workshop P

44 Jan 06, 2023
Inferring Lexicographically-Ordered Rewards from Preferences

Inferring Lexicographically-Ordered Rewards from Preferences Code author: Alihan Hüyük ([e

Alihan Hüyük 1 Feb 13, 2022
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Status: Archive (code is provided as-is, no updates expected) InfoGAN Code for reproducing key results in the paper InfoGAN: Interpretable Representat

OpenAI 1k Dec 19, 2022
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID,

Intermediate Domain Module (IDM) This repository is the official implementation for IDM: An Intermediate Domain Module for Domain Adaptive Person Re-I

Yongxing Dai 87 Nov 22, 2022
Cl datasets - PyTorch image dataloaders and utility functions to load datasets for supervised continual learning

Continual learning datasets Introduction This repository contains PyTorch image

berjaoui 5 Aug 28, 2022
Official repository of the paper Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

SMDD-Synthetic-Face-Morphing-Attack-Detection-Development-dataset Official repository of the paper Privacy-friendly Synthetic Data for the Development

10 Dec 12, 2022
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)

FaceVerse FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset Lizhen Wang, Zhiyuan Chen, Tao Yu, Chenguang

Lizhen Wang 219 Dec 28, 2022
Deep Watershed Transform for Instance Segmentation

Deep Watershed Transform Performs instance level segmentation detailed in the following paper: Min Bai and Raquel Urtasun, Deep Watershed Transformati

193 Nov 20, 2022
PyTorch-lightning implementation of the ESFW module proposed in our paper Edge-Selective Feature Weaving for Point Cloud Matching

Edge-Selective Feature Weaving for Point Cloud Matching This repository contains a PyTorch-lightning implementation of the ESFW module proposed in our

5 Feb 14, 2022
An educational tool to introduce AI planning concepts using mobile manipulator robots.

JEDAI Explains Decision-Making AI Virtual Machine Image The recommended way of using JEDAI is to use pre-configured Virtual Machine image that is avai

Autonomous Agents and Intelligent Robots 13 Nov 15, 2022
Generating Radiology Reports via Memory-driven Transformer

R2Gen This is the implementation of Generating Radiology Reports via Memory-driven Transformer at EMNLP-2020. Citations If you use or extend our work,

CUHK-SZ NLP Group 101 Dec 13, 2022
This repository includes code of my study about Asynchronous in Frequency domain of GAN images.

Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images Binh M. Le & Simon S. Woo, "Exploring the Asynchronous of the Frequ

4 Aug 06, 2022
NeoPlay is the project dedicated to ESport events.

NeoPlay is the project dedicated to ESport events. On this platform users can participate in tournaments with prize pools as well as create their own tournaments.

3 Dec 18, 2021
Graduation Project

Gesture-Detection-and-Depth-Estimation This is my graduation project. (1) In this project, I use the YOLOv3 object detection model to detect gesture i

ChaosAT 1 Nov 23, 2021
Exploring Simple Siamese Representation Learning

G-SimSiam A PyTorch implementation which refers to repo for the paper Exploring Simple Siamese Representation Learning by Xinlei Chen & Kaiming He Add

zhuyun 1 Dec 19, 2021
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

An Image Captioning codebase This is a codebase for image captioning research. It supports: Self critical training from Self-critical Sequence Trainin

Ruotian(RT) Luo 906 Jan 03, 2023
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your

Hao Tang 424 Dec 02, 2022
Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset

SW-CV-ModelZoo Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset Framework: TF/Keras 2.7 Training SQLite D

20 Dec 27, 2022