200 Open source projects that are alternatives of or similar to flydra

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Headless DeepLabCut (no GUI support)

A deep learning framework for multi-animal pose tracking.

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

[ICRA 2020] Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

Data preparation and loader for AMASS

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

Activity Recognition from 2D pose using an LSTM RNN

tf-openpose Based iOS Project

A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

Refactored implementation of CenterNet (Objects as Points - Zhou, Xingyi et. al.) shipping with PyTorch Lightning modules

pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

Datasets for multi-class and multi-pose face segmentation

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Motion Planner for Self Driving Cars

RealAnt robot platform for low-cost, real-world reinforcement learning

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

VPoser: Variational Human Pose Prior

SynthDet - An end-to-end object detection pipeline using synthetic data

I checked the performance by running PoseNet on CoreML

Implement of Openpose use Tensorflow

🔥 OpenPose api wrapper in PyTorch.

Perception toolkit for sim2real training and validation

Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact))..

face keypoints deteciton based on stackedhourglass

API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset

Virtual whiteboard with hand pose estimation

a toolkit for pose estimation using deep learning

AlphaPose + ST-GCN + SORT.

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).

Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.

MobilePose deployment for Raspberry Pi

This work is used for pose estimation(yaw, pitch and roll) by Face landmarks(left eye, right eye, nose, left mouth, right mouth and chin)

Social Signal Processing for Android

Official Code: A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking

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

3D hand pose estimation via dense regression

Open-source datasets for anyone interested in working with network anomaly based machine learning, data science and research

A python program to detect and classify hand pose using deep learning techniques

A modular framework built to simplify Computer Vision inference workloads.

💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.

Epipolar Transformers (CVPR 2020)

A collection of awesome resources in Human Pose estimation.

[WACV 2020] "Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation"

Odin: Pose estimation-based tracking and counting of people in videos

[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing

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

Cascade Pyramid Netwrok

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Seamless Augmented Reality module for QML using UchiyaMarkers

Real-time hand pose estimation and gesture classification using TensorRT

Res2Net for Pose Estimation using Simple Baselines as the baseline

A simple baseline for 3d human pose estimation in PyTorch.