phv2312

AA

Deforming 2d images using ARAP

graph_matching_idsc

Inner Distance Shape Context (IDSC) & Spectral Matching for Line-art Colorization.

anime_colorization

animkp

Anime Key-point Estimation

rtmdet_ship_detection

Ship detection using rtmdet

kotaemon

An open-source RAG-based tool for chatting with your documents.

anime_facial_segmentation

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

ci_test

close_boundary

Closing boundary

Colorization

Automatic line art colorization using various types of hint or without hint

GOT-OCR2.0

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

HRNet-Human-Pose-Estimation

This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

HRNet-Semantic-Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

ICON

ICON: Implicit Clothed humans Obtained from Normals

inventory-tracker

labelKeypoint

Keypoints label tools

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learn_github

MNIST_RNET

multi-k8s

Photo_Wake-Up

Photo Wake-Up: 3D Character Animation from a Single Photo

PIFu

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

scale_space

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

SFNet

An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.

streamlit_object_detection

Demo for inference object detection with streamlit

Transformer-OCR

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors