SoHyeonos248

awesome-public-datasets

A topic-centric list of HQ open datasets.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

vision_transformer

AlphaPose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

mmaction

An open-source toolbox for action understanding based on PyTorch

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

pytorch-video-recognition

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

MocapNET

We present MocapNET, 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

vit-explain

Explainability for Vision Transformers

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

Human-Falling-Detect-Tracks

AlphaPose + ST-GCN + SORT.

openpose_train

Training repository for OpenPose

MotioNet

A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

keytotext

Keywords to Sentences

ST-TR

Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition

3DHumanPose

SpaceJam

SpaceJam: a Dataset for Basketball Action Recognition

PAN-PyTorch

[Codes of paper]: PAN: Towards Fast Action Recognition via Learning Persistence of Appearance

ViTPose_pytorch

An unofficial implementation of ViTPose [Y. Xu et al., 2022]

MGSampler

[ICCV 2021] MGSampler: An Explainable Sampling Strategy for Video Action Recognition

harskel

Human action recognition from skeletal data

Skeleton-based-Human-Action-Recognition

This is partial implementations of PR 2017 and CVPR 2018

MLP-Mixer-Pytorch

Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)

AvocadoEdition

Avocado Edition : Original Character Community Solution by GUNUBOARD Custom

CCTV_anomaly_detection

AI_School / CCTV 이상행동 감지 서비스 만들기 / (200910 ~ 200923)

SMART-frame-selection-

关于SMART帧选择方法的复现