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Paul Xiong's Projects

auto-annotate icon auto-annotate

Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.

biomagdsb icon biomagdsb

This repository contains the codes to run the nuclei segmentation pipeline of the BIOMAG group inspired by Kaggle's Data Science Bowl 2018 competition

combifile icon combifile

Taking files from a directory and Generate files with directory's name +file's name: dir/file1,file2... to dir_file1,dir_file2

convert2yolo icon convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

covid19 icon covid19

Improve detecting Covid-19 by Deep Learning

cutpaste icon cutpaste

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

data_science_bowl_2018 icon data_science_bowl_2018

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

deepdpm icon deepdpm

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [CVPR 2022]

deepvideoanalytics icon deepvideoanalytics

A highly configurable visual search & analytics platform for images and videos.

estimator icon estimator

train, evaluate and deploy model using tf-estimator

fixmatch icon fixmatch

A simple method to perform semi-supervised learning with limited data.

gmaps icon gmaps

the easiest way to use Google Maps

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