21 Repositories
Python regions Libraries
Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)
OpenDet Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR2022) Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-So
This repository is used to simplify the process of cloning the SSM documents across the AWS regions.
SSM Cloner Introduction This module is created in order to simplify the process of copying the SSM documents from one region to another regions. As an
Downloads state flags from wikipedia for states/regions from all countries
world-state-flags Downloads state flags from wikipedia for states/regions from all countries This data is NOT curated Uses https://github.com/dr5hn/co
This repo is for segmentation of T2 hyp regions in gliomas.
T2-Hyp-Segmentor This repo is for segmentation of T2 hyp regions in gliomas. By downloading the model from here you can use it to segment your T2w ima
Discovering local read-level DNA methylation patterns and DNA methylation heterogeneity in intermediately methylated regions
Discovering local read-level DNA methylation patterns and DNA methylation heterogeneity in intermediately methylated regions
Regions sanitàries (RS), Sectors Sanitàris (SS) i Àrees Bàsiques de Salut (ABS) de Catalunya
Regions sanitàries (RS), Sectors Sanitaris (SS), Àrees de Gestió Assistencial (AGA) i Àrees Bàsiques de Salut (ABS) de Catalunya Fitxers GeoJSON de le
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
The Pytorch implementation for "Video-Text Pre-training with Learned Regions"
Region_Learner The Pytorch implementation for "Video-Text Pre-training with Learned Regions" (arxiv) We are still cleaning up the code further and pre
The Pytorch implementation for "Video-Text Pre-training with Learned Regions"
Region_Learner The Pytorch implementation for "Video-Text Pre-training with Learned Regions" (arxiv) We are still cleaning up the code further and pre
Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks
Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks This is the official code for DyReg model inroduced in Discovering Dyna
Extract countries, regions and cities from a URL or text
This project is no longer being maintained and has been archived. Please check the Forks list for newer versions. Forks We are aware of two 3rd party
Multifunctional Analysis of Regions through Input-Output
MARIO Multifunctional Analysis of Regions through Input-Output. (Documents) What is it MARIO is a python package for handling input-output tables and
Honours project, on creating a depth estimation map from two stereo images of featureless regions
image-processing This module generates depth maps for shape-blocked-out images Install If working with anaconda, then from the root directory: conda e
Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance Justin Lim, Christina X Ji, Michael Oberst, Saul Blecker, Leor
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders Getting Started Install requirements with Anaconda: conda env c
Crop regions in napari manually
napari-crop Crop regions in napari manually Usage Create a new shapes layer to annotate the region you would like to crop: Use the rectangle tool to a
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
Missing Pixel Filler This is the official code repository for the Missing Pixel Filler by SpaceML. missing-pixel-filler is a python package that, give
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition This repository contains code for the CVPR2021 paper "Patch-NetV
Platform for building statistical models of cities and regions
UrbanSim UrbanSim is a platform for building statistical models of cities and regions. These models help forecast long-range patterns in real estate d
~1000 book pages + OpenCV + python = page regions identified as paragraphs, lines, images, captions, etc.
cosc428-structor I had an open-ended Computer Vision assignment to complete, and an out-of-copyright book that I wanted to turn into an ebook. Convent