Acoustic mosquito detection code with Bayesian Neural Networks

Last update: Nov 28, 2022

Overview

HumBugDB

Acoustic mosquito detection with Bayesian Neural Networks.

Extract audio or features from our large-scale dataset on Zenodo.
This repository outlines two key example use cases for the data:
- Task 1: Mosquito Event Detection (MED)
- Task 2: Mosquito Species Classification (MSC)

General use instructions

This code is complementary to the paper: "HumBugDB: a large-scale acoustic mosquito dataset" and the dataset on Zenodo.

See documentation in the paper supplement for:

Section A: Licensing
Section B: Code use, feature and model engineering
Section C: Description and visualisations of metadata in data/metadata/*.csv

Additional documentation for:

Code, feature, hyperparameter configuration

Installation instructions

You may choose to use the Colab environment which is natively compatible with all of our code. Alternatively, see the instructions for manually configuring an environment to run the Jupyter notebooks.

Google Colab

Installation and use with Google Colab here.

Jupyter notebook

Installation instructions and requirements for PyTorch: InstallationLogPyTorch.txt.
Keras min. requirements: condarequirementsKeras.txt and piprequirementsKeras.txt. Compatible with Tensorflow 1.X and 2.X.

After installation of requirements:

git clone https://github.com/HumBug-Mosquito/HumBugDB.git

Extract audio from four-part-archive to Zenodo to /data/audio/.

Contact

Developed by Ivan Kiskin of MLRG University of Oxford. Contact [email protected] for enquiries or suggestions. Follow our Twitter on @OxHumBug and visit our HumBug website for updates on the overall HumBug project.

Bayesian Neural Networks in PyTorch

We present the new scheme to compute Monte Carlo estimator in Bayesian VI settings with almost no memory cost in GPU, regardles of the number of sampl

7 May 3, 2022

Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

1 Jan 1, 2022

Complex-Valued Neural Networks (CVNN)Complex-Valued Neural Networks (CVNN)

Complex-Valued Neural Networks (CVNN) Done by @NEGU93 - J. Agustin Barrachina Using this library, the only difference with a Tensorflow code is that y

1 Nov 12, 2021

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

2.2k Jan 3, 2023

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

The Neural Process Family This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CN

892 Dec 28, 2022

Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks This repository contains the code that accompanies our CVPR 20

161 Dec 20, 2022

Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

Dangers of Bayesian Model Averaging under Covariate Shift This repository contains the code to reproduce the experiments in the paper Dangers of Bayes

25 Sep 21, 2022

Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)

ReLU-GP Residual (RGPR) This repository contains code for reproducing the following NeurIPS 2021 paper: @inproceedings{kristiadi2021infinite, title=

4 Dec 26, 2021

Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"

dblmahmc Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo" Requirements: https://github.com

1 Dec 17, 2021

Releases(2.0)

2.0(Sep 1, 2021)
HumBugDB models

This release distributes the binaries for the Bayesian neural network models, to preserve the small size of the repository.

We include models trained for two tasks. The model objects and tasks are described at:

MED: Mosquito Event detection

MSC: Mosquito Species classification

The models correspond to all of the results reported in the paper HumBugDB: A Large-scale Acoustic Mosquito Dataset.
Source code(tar.gz)
Source code(zip)
MED_trained_models.zip(608.00 MB)
MSC_trained_models_1.zip(1280.73 MB)
MSC_trained_models_2.zip(1736.36 MB)
v1.0(Jun 9, 2021)
This release distributes the binaries for the Bayesian neural network models, to preserve the small size of the repository. We include five trained models, to be placed in /outputs/models/keras/ or /outputs/models/pytorch/:

PyTorch BNN-ResNet-50 (paper version): neurips_2021_humbugdb_resnet50_bnn.pth

BNN-ResNet-18 (paper version): neurips_2021_humbugdb_resnet18_bnn.pth

Keras BNN-4conv (paper version): neurips_2021_humbugdb_keras_bnn.hdf5

Keras BNN-4conv (best version): neurips_2021_humbugdb_keras_bnn_best.hdf5

Keras BNN-4conv (for appendix Test B): neurips_2021_humbugdb_supplement_TestB_keras_bnn.hdf5

Source code(tar.gz)
Source code(zip)
neurips_2021_humbugdb_keras_bnn.hdf5(6.00 MB)
neurips_2021_humbugdb_keras_bnn_best.hdf5(5.98 MB)
neurips_2021_humbugdb_resnet18_bnn.pth(42.71 MB)
neurips_2021_humbugdb_resnet50_bnn.pth(89.99 MB)
neurips_2021_humbugdb_supplement_TestB_keras_bnn.hdf5(5.98 MB)

Owner

GitHub Repository

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers Results results on COCO val Backbone Method Lr Schd PQ Config Download

155 Dec 20, 2022

This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.

MOTR: End-to-End Multiple-Object Tracking with TRansformer This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object

348 Jan 07, 2023

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

337 Dec 15, 2022

Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning*, Donghuan Lu*, Dong Wei†, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Y

36 Dec 07, 2022

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dea

1.2k Jan 04, 2023

Mining-the-Social-Web-3rd-Edition - The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

Mining the Social Web, 3rd Edition The official code repository for Mining the Social Web, 3rd Edition (O'Reilly, 2019). The book is available from Am

838 Jan 01, 2023

Codebase for "Revisiting spatio-temporal layouts for compositional action recognition" (Oral at BMVC 2021).

Revisiting spatio-temporal layouts for compositional action recognition Codebase for "Revisiting spatio-temporal layouts for compositional action reco

20 Dec 15, 2022

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pyradiomics v3.0.1 Build Status Linux macOS Windows Radiomics feature extraction in Python This is an open-source python package for the extraction of

842 Dec 28, 2022

Running Google MoveNet Multipose Tracking models on OpenVINO.

MoveNet MultiPose Tracking on OpenVINO

60 Nov 17, 2022

implementation for paper "ShelfNet for fast semantic segmentation"

ShelfNet-lightweight for paper (ShelfNet for fast semantic segmentation) This repo contains implementation of ShelfNet-lightweight models for real-tim

252 Sep 16, 2022

Robust & Reliable Route Recommendation on Road Networks

NeuroMLR: Robust & Reliable Route Recommendation on Road Networks This repository is the official implementation of NeuroMLR: Robust & Reliable Route

4 Dec 20, 2022

A modular application for performing anomaly detection in networks

Deep-Learning-Models-for-Network-Annomaly-Detection The modular app consists for mainly three annomaly detection algorithms. The system supports model

1 Dec 09, 2021

MODNet: Trimap-Free Portrait Matting in Real Time

MODNet is a model for real-time portrait matting with only RGB image input.

2.8k Dec 30, 2022

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

MI-AOD Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection (The PDF is not available tem

269 Dec 21, 2022

House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects

House-GAN++ Code and instructions for our paper: House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent

122 Dec 28, 2022