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cvhadessun's Projects

fiftyone icon fiftyone

The open-source tool for building high-quality datasets and computer vision models

fitting_human_smpl_model icon fitting_human_smpl_model

Estimating human pose and shape by fitting SMPL model with the dense points position and key points position

flame2smplx icon flame2smplx

A tool to tranform the flame texture space,shape and pose paramerter into SMPL or SMPLX model 's head(or face).

flatbuffers icon flatbuffers

FlatBuffers: Memory Efficient Serialization Library

human3dpose icon human3dpose

project of human3Dpose and contain vnect implementation

i2l-meshnet_release icon i2l-meshnet_release

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

imantics icon imantics

:camera: Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

infinitam icon infinitam

A Framework for the Volumetric Integration of Depth Images

kinectfusionlib icon kinectfusionlib

Implementation of the KinectFusion approach in modern C++14 and CUDA

labot icon labot

a toolkit to labeling dataset for AI training.

learnable-triangulation-pytorch icon learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

leetcode-master icon leetcode-master

LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mediapipe icon mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mocapnet icon mocapnet

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

mvpose icon mvpose

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" (CVPR 2019, T-PAMI 2021)

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