223 Open source projects that are alternatives of or similar to All4Depth

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

face keypoints deteciton based on stackedhourglass

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

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)

Implement of Openpose use Tensorflow

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

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).

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

3D hand pose estimation via dense regression

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

Activity Recognition from 2D pose using an LSTM RNN

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.

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

Perception toolkit for sim2real training and validation

[ICLR2022] official implementation of UniFormer

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

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

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

Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"

Data preparation and loader for AMASS

Res2Net for Pose Estimation using Simple Baselines as the baseline

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

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

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

Epipolar Transformers (CVPR 2020)

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

a toolkit for pose estimation using deep learning

Datasets for multi-class and multi-pose face segmentation

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

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

tf-openpose Based iOS Project

Real-time hand pose estimation and gesture classification using TensorRT

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

3d Human Pose Estimation from 2d Keypoints

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

MobilePose deployment for Raspberry Pi

⚾🤖⚾ Automatic baseball pitching overlay in realtime

live, low-latency markerless multi-camera 3D animal tracking system

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

A modular framework built to simplify Computer Vision inference workloads.

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

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

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 !

Cascade Pyramid Netwrok

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

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

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

🔥 OpenPose api wrapper in PyTorch.

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

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

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

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

A collection of awesome resources in Human Pose estimation.

Seamless Augmented Reality module for QML using UchiyaMarkers

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

VPoser: Variational Human Pose Prior

Code for "SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation" BMVC 2019

kPAM: Generalizable Robotic Manipulation

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding