6796 Open source projects that are alternatives of or similar to Keras_realtime_multi Person_pose_estimation

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Pytorch version of Realtime Multi-Person Pose Estimation project

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

pytorch realtime multi person keypoint estimation

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Realtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.

Light-weight Single Person Pose Estimator

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This is a computer vision algorithm that takes a single RGB image as the input and estimates 3D human poses as the output.

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pytorch implementation of openpose including Hand and Body Pose Estimation.

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VPoser: Variational Human Pose Prior

Posture recognition based on common camera

Activity Recognition from 2D pose using an LSTM RNN

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KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

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Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

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A real time Multimodal Emotion Recognition web app for text, sound and video inputs

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

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Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

Auto-ReID and Other Person Re-Identification Projects

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Data preparation and loader for AMASS

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Deep networks for Earth Observation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Semantically consistent regularizer for zero-shot learning

[ICCV '21] In this repository you find the code to our paper "Keypoint Communities".

implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim

Evaluation of the CNN design choices performance on ImageNet-2012.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Training repository for OpenPose

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

OpenPose's Unity Plugin for Unity users

Real-time pose estimation accelerated with NVIDIA TensorRT

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems

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Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

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