121 Repositories
Python saliency-maps Libraries
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Explainable CNNs 📦 Flexible visualization package for generating layer-wise explanations for CNNs. It is a common notion that a Deep Learning model i
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
Generative Modeling with Optimal Transport Maps The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
(CVPR 2022) TokenCut Pytorch implementation of Tokencut: Self-supervised Transformers for Unsupervised Object Discovery using Normalized Cut Yangtao W
ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
ICON: Implicit Clothed humans Obtained from Normals Yuliang Xiu · Jinlong Yang · Dimitrios Tzionas · Michael J. Black CVPR 2022 News 🚩 [2022/04/26] H
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. CVPR 2022
PGNet Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. CVPR 2022, CVPR 2022 (arXiv 2204.05041) Abstract Recent salient objec
Faune proche - Retrieval of Faune-France data near a google maps location
faune_proche Récupération des données de Faune-France près d'un lieu google maps
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.
py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne
Simple implementation of Self Organizing Maps (SOMs) with rectangular and hexagonal grid topologies
py-self-organizing-map Simple implementation of Self Organizing Maps (SOMs) with rectangular and hexagonal grid topologies. A SOM is a simple unsuperv
🌍 Create 3d-printable STLs from satellite elevation data 🌏
mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch
Spectral decomposition for characterizing long-range interaction profiles in Hi-C maps
Inspectral Spectral decomposition for characterizing long-range interaction prof
DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper) Authors: Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang PDF:
Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib
POV-Ray-color-maps Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib. The include file Color_M
Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
DPFM Code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral) Installation This implementation runs on python = 3.7, use pip to install depend
Python project to generate Kerala's distrcit level panchayath map.
Kerala-Panchayath-Maps Python project to generate Kerala's distrcit level panchayath map. As of now, geojson files of Kollam and Kozhikode are added t
Convert Beat Saber maps to Tesla light shows!
Tesla x Beat Saber - Light Show Converter Convert Beat Saber maps to Tesla light shows! This project requires FFMPEG and all packages from requirement
Texting service to receive current air quality conditions and maps, powered by AirNow, Twilio, and AWS
The Air Quality Bot is generally available by texting a zip code (and optionally the word "map") to (415) 212-4229. The bot will respond with the late
Approaches to modeling terrain and maps in python
topography 🌎 Contains different approaches to modeling terrain and topographic-style maps in python Features Inverse Distance Weighting (IDW) A given
Specificity-preserving RGB-D Saliency Detection
Specificity-preserving RGB-D Saliency Detection Authors: Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, and Ling Shao. 1. Preface This reposi
constructing maps of intellectual influence from publication data
Influencemap Project @ ANU Influence in the academic communities has been an area of interest for researchers. This can be seen in the popularity of a
Streamlit Component for rendering Folium maps
streamlit-folium This Streamlit Component is a work-in-progress to determine what functionality is desirable for a Folium and Streamlit integration. C
Code, pre-trained models and saliency results for the paper "Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images".
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB This repository is the official implementation of the paper. Our results comming soon in
An app that mirrors your phone to your compute and maps controller input to the screen
What is 'Dragalia Control'? An app that mirrors your phone to your compute and maps controller input to the screen. Inputs are mapped specifically for
Sigma coding youtube - This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re
Saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Saliency Methods 🔴 Now framework-agnostic! (Example core notebook) 🔴 🔗 For further explanation of the methods and more examples of the resulting ma
This program can calculate the Aerial Distance between two cities.
Aerial_Distance_Calculator This program can calculate the Aerial Distance between two cities. This repository include both Jupyter notebook and Python
Learning Saliency Propagation for Semi-supervised Instance Segmentation
Learning Saliency Propagation for Semi-supervised Instance Segmentation PyTorch Implementation This repository contains: the PyTorch implementation of
Visualize data of Vietnam's regions with interactive maps.
Plotting Vietnam Development Map This is my personal project that I use plotly to analyse and visualize data of Vietnam's regions with interactive map
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
Geometry-Aware Learning of Maps for Camera Localization This is the PyTorch implementation of our CVPR 2018 paper "Geometry-Aware Learning of Maps for
Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
World_weather_analysis Overview Using multiple API sources, create an app that allows users to filter through random locations based on their temperat
Ein PY-Skript, mit dem tiled-Editor-Maps bearbeitet werden
tilesetCopyrighter Ein PY-Skript, mit dem tiled-Editor-Maps bearbeitet werden können fügt je Tileset eine custom-Property tilesetCopyright (string) hi
Implemented a Google Maps prototype that provides the shortest route in terms of distance
Implemented a Google Maps prototype that provides the shortest route in terms of distance, the fastest route, the route with the fewest turns, and a scenic route that avoids roads when provided a source and destination. The algorithms used were DFS, BFS, A*, and Iterative Depth First Search.
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation.
Continuous Wasserstein-2 Benchmark This is the official Python implementation of the NeurIPS 2021 paper Do Neural Optimal Transport Solvers Work? A Co
`python-jamf` is a library for connecting to a Jamf Server that maps directly to the Jamf Pro Classic API.
`python-jamf` is a library for connecting to a Jamf Server that maps directly to the Jamf Pro Classic API. It is the basis for the `jctl` tool to automate patch management & packages and many other items.
A package for plotting maps in R with ggplot2
Attention! Google has recently changed its API requirements, and ggmap users are now required to register with Google. From a user’s perspective, ther
[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
Python renderer for OpenStreetMap with custom icons intended to display as many map features as possible
Map Machine project consists of Python OpenStreetMap renderer: SVG map generation, SVG and PNG tile generation, Röntgen icon set: unique CC-BY 4.0 map
Just imagine normal bancho, but you can have multiple profiles and funorange speed up maps ranked
Local osu! server Just imagine normal bancho, but you can have multiple profiles and funorange speed up maps ranked (coming soon)! Windows Setup Insta
Python library to visualize circular plasmid maps
Plasmidviewer Plasmidviewer is a Python library to visualize plasmid maps from GenBank. This library provides only the function to visualize circular
FollowSpot is a comprehensive audition tracking fullstack web application for entertainment industry professionals.
FollowSpot is a comprehensive audition tracking fullstack web application for entertainment industry professionals. This app allows users to store information/media for all of their auditions while also compiling data and displaying statistics to help track progress.
Easy way to add GoogleMaps to Flask applications. maintainer: @getcake
Flask Google Maps Easy to use Google Maps in your Flask application requires Jinja Flask A google api key get here Contribute To contribute with the p
Evaluating saliency methods on artificial data with different background types
Evaluating saliency methods on artificial data with different background types This repository contains the relevant code for the MedNeurips 2021 subm
Code for our work "Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection".
A2S-USOD Code for our work "Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection". Code will be released upon
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
SalFBNet This repository includes Pytorch implementation for the following paper: SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolu
MapReader: A computer vision pipeline for the semantic exploration of maps at scale
MapReader A computer vision pipeline for the semantic exploration of maps at scale MapReader is an end-to-end computer vision (CV) pipeline designed b
Deal with Bing Maps Tiles and Pixels / WGS 84 coordinates conversions, and generate grid Shapefiles
PyBingTiles This is a small toolkit in order to deal with Bing Tiles, used i.e. by Facebook for their Data for Good datasets. Install Clone this repos
MapReader: A computer vision pipeline for the semantic exploration of maps at scale
MapReader A computer vision pipeline for the semantic exploration of maps at scale MapReader is an end-to-end computer vision (CV) pipeline designed b
Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training"
Saliency Guided Training Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training" by Aya Abdelsalam Ismail, Hector Cor
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
DHF1K =========================================================================== Wenguan Wang, J. Shen, M.-M Cheng and A. Borji, Revisiting Video Sal
PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing
Saiency Map-aided GAN for RAW2RGB Mapping The PyTorch implementations and guideline for Saiency Map-aided GAN for RAW2RGB Mapping. 1 Implementations B
Clip Bing Maps backgound as RGB geotif image using center-point from vector data of a shapefile and Bing Maps zoom
Clip Bing Maps backgound as RGB geotif image using center-point from vector data of a shapefile and Bing Maps zoom. Also, rasterize shapefile vectors as corresponding label image.
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Adversarial Networks Junting Pan Cristian Canton Ferrer Kevin McGuinness Noel O'Connor Jordi Torres Elisa Sayr
Google Maps crawler using Selenium
Google Maps Crawler using Selenium Built as part of the Antifragile Dev Project Selenium crawler that browses Google Maps as a regular user and stores
MiniSom is a minimalistic implementation of the Self Organizing Maps
MiniSom Self Organizing Maps MiniSom is a minimalistic and Numpy based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial N
Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion
CSF Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion Tips: For testing: CUDA_VISIBLE_DEVICES=0 python main.py For trai
Implementation of the pix2pix model on satellite images
This repo shows how to implement and use the pix2pix GAN model for image to image translation. The model is demonstrated on satellite images, and the
Task-related Saliency Network For Few-shot learning
Task-related Saliency Network For Few-shot learning This is an official implementation in Tensorflow of TRSN. Abstract An essential cue of human wisdo
A tool for automatically generating 3D printable STLs from freely available lidar scan data.
mini-map-maker A tool for automatically generating 3D printable STLs from freely available lidar scan data. Screenshots Tutorial To use this script, g
Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.
Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.
Self Driving Car Prototype
Package Delivery Rover 🚀 This project is a prototype of Self Driving Car. It's based on embedded systems, to meet the current requirement of delivery
PyTorch implementation of SmoothGrad: removing noise by adding noise.
SmoothGrad implementation in PyTorch PyTorch implementation of SmoothGrad: removing noise by adding noise. Vanilla Gradients SmoothGrad Guided backpro
iot-dashboard: Fully integrated architecture platform with a dashboard for Logistics Monitoring, Internet of Things.
Fully integrated architecture platform with a dashboard for Logistics Monitoring, Internet of Things. Written in Python. Flask applicati
A collection of lecture notes, drawings, flash cards, mind maps, scripts
Neuroanatomy A collection of lecture notes, drawings, flash cards, mind maps, scripts and other helpful resources for the course "Functional Organizat
PyGMT - A Python interface for the Generic Mapping Tools
PyGMT A Python interface for the Generic Mapping Tools Documentation (development version) | Contact | Try Online Why PyGMT? A beautiful map is worth
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
TorchCAM: class activation explorer Simple way to leverage the class-specific activation of convolutional layers in PyTorch. Quick Tour Setting your C
Convert mind maps to markdown for import into Roam.
Mind Map to Markdown for Roam import Got a Mind Map with contents you'd like to import into Roam? Soon, this Python application might do what just you
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
VectorNet Re-implementation This is the unofficial pytorch implementation of CVPR2020 paper "VectorNet: Encoding HD Maps and Agent Dynamics from Vecto
Pytorch implementation of convolutional neural network visualization techniques
Convolutional Neural Network Visualizations This repository contains a number of convolutional neural network visualization techniques implemented in
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Comprehensive collection of Pixel Attribution methods for Computer Vision.
CropImage is a simple toolkit for image cropping, detecting and cropping main body from pictures.
CropImage is a simple toolkit for image cropping, detecting and cropping main body from pictures. Support face and saliency detection.
Location field and widget for Django. It supports Google Maps, OpenStreetMap and Mapbox
django-location-field Let users pick locations using a map widget and store its latitude and longitude. Stable version: django-location-field==2.1.0 D
Displaying objects on maps in the Django views and administration site.
DjangoAdminGeomap library The free, open-source DjangoAdminGeomap library is designed to display objects on the map in the Django views and admin site
Location field and widget for Django. It supports Google Maps, OpenStreetMap and Mapbox
django-location-field Let users pick locations using a map widget and store its latitude and longitude. Stable version: django-location-field==2.1.0 D
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below
Collection of NLP model explanations and accompanying analysis tools
Thermostat is a large collection of NLP model explanations and accompanying analysis tools. Combines explainability methods from the captum library wi
This is a Django app that uses numerous Google APIs such as reCAPTURE, maps and waypoints
Django project that uses Googles APIs to auto populate fields, display maps and routes for multiple waypoints
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Tested on many Common CNN Networks and Vision Transformers. ⭐ Includes smoo
prettymaps - A minimal Python library to draw customized maps from OpenStreetMap data.
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
google-maps-at-88-mph The folks maintaining Google Maps regularly update the satellite imagery it serves its users, but outdated versions of the image
Neural network visualization toolkit for tf.keras
Neural network visualization toolkit for tf.keras
How to Become More Salient? Surfacing Representation Biases of the Saliency Prediction Model
How to Become More Salient? Surfacing Representation Biases of the Saliency Prediction Model
An application that maps an image of a LaTeX math equation to LaTeX code.
Convert images of LaTex math equations into LaTex code.
SmoothGrad implementation in PyTorch
SmoothGrad implementation in PyTorch PyTorch implementation of SmoothGrad: removing noise by adding noise. Vanilla Gradients SmoothGrad Guided backpro
source code of “Visual Saliency Transformer” (ICCV2021)
Visual Saliency Transformer (VST) source code for our ICCV 2021 paper “Visual Saliency Transformer” by Nian Liu, Ni Zhang, Kaiyuan Wan, Junwei Han, an
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral)
DSA^2 F: Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral) This repo is the official imp
A large dataset of 100k Google Satellite and matching Map images, resembling pix2pix's Google Maps dataset.
Larger Google Sat2Map dataset This dataset extends the aerial ⟷ Maps dataset used in pix2pix (Isola et al., CVPR17). The provide script download_sat2m
🗾 Streamlit Component for rendering kepler.gl maps
streamlit-keplergl 🗾 Streamlit Component for rendering kepler.gl maps in a streamlit app. 🎈 Live Demo 🎈 Installation pip install streamlit-keplergl
OrienMask: Real-time Instance Segmentation with Discriminative Orientation Maps
OrienMask This repository implements the framework OrienMask for real-time instance segmentation. It achieves 34.8 mask AP on COCO test-dev at the spe
Riemannian Convex Potential Maps
Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e.g., in physics and geology. The budding approaches in this space are limited by representational and computational tradeoffs. We propose and study a class of flows that uses convex potentials from Riemannian optimal transport. These are universal and can model distributions on any compact Riemannian manifold without requiring domain knowledge of the manifold to be integrated into the architecture. We demonstrate that these flows can model standard distributions on spheres, and tori, on synthetic and geological data.
Scientific color maps and standardization tools
Scicomap is a package that provides scientific color maps and tools to standardize your favourite color maps if you don't like the built-in ones. Scicomap currently provides sequential, bi-sequential, diverging, circular, qualitative and miscellaneous color maps. You can easily draw examples, compare the rendering, see how colorblind people will perceive the color maps. I will illustrate the scicomap capabilities below.
Automatically prepare your Minecraft maps for release
map-prepare Automatically prepare Mineraft map for release. Current state: kinda works Make sure you have backups for your world before running this p
A tool for the creation of rooms used in maps in the game Wastelands
Wastelands Room Data editor A tool for the creation of rooms used in maps in the game Wastelands Creates .wrd files, that get loaded by the map genera
Neural Surface Maps
Neural Surface Maps Official implementation of Neural Surface Maps - Luca Morreale, Noam Aigerman, Vladimir Kim, Niloy J. Mitra [Paper] [Project Page]
Deep functional residue identification
DeepFRI Deep functional residue identification Citing @article {Gligorijevic2019, author = {Gligorijevic, Vladimir and Renfrew, P. Douglas and Koscio
[ECCV 2020] Gradient-Induced Co-Saliency Detection
Gradient-Induced Co-Saliency Detection Zhao Zhang*, Wenda Jin*, Jun Xu, Ming-Ming Cheng ⭐ Project Home » The official repo of the ECCV 2020 paper Grad
Deep Compression for Dense Point Cloud Maps.
DEPOCO This repository implements the algorithms described in our paper Deep Compression for Dense Point Cloud Maps. How to get started (using Docker)
Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks
This is the code associated with the paper Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks, published at CVPR 2020.
(IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
RDPNet IEEE TIP 2021: Regularized Densely-connected Pyramid Network for Salient Instance Segmentation PyTorch training and testing code are available.
Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
Fast and Flexible Temporal Point Processes with Triangular Maps This repository includes a reference implementation of the algorithms described in "Fa
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps
Range Image-based 3D LiDAR Localization This repo contains the code for our ICRA2021 paper: Range Image-based LiDAR Localization for Autonomous Vehicl
Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`
Human Attention for Text Classification Re-implementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Foc