391 Open source projects that are alternatives of or similar to Swiftopenpose

I checked the performance by running PoseNet on CoreML

A fast stacked hourglass network for human pose estimation on OpenVino

HyperPose: A Collection of Real-time Human Pose Estimation

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

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

OpenPose Example App

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

Real-time Mobile Car Pose Estimation with CoreML

Face Landmark Detector based on Mobilenet V1

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 !

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

A Show And Tell implementation for iOS 11.0 based on CoreML

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)

A collection of awesome resources in Human Pose estimation.

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).

A caffe implementation of mobilenet's depthwise convolution layer.

Data preparation and loader for AMASS

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Discover, download, compile & launch different image processing & style transfer CoreML models on iOS.

Visualizer for neural network, deep learning, and machine learning models

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

3D hand pose estimation via dense regression

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

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

An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text

Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml

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

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

Creating a software for automatic monitoring in online proctoring

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

Accelerate mobileNet-ssd with tensorRT

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

face keypoints deteciton based on stackedhourglass

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

A collection of experiences utilizing machine learning models from Fritz AI

Hand-gesture recognition on iOS app using CoreML

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

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

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

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

AlphaPose + ST-GCN + SORT.

MobileNetV3-SSD for object detection and implementation in PyTorch

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

🤖 The Cocoa Artificial Intelligence Lab

Play MK.js with TensorFlow.js

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

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Source code for the book Core ML Survival Guide

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Object localization in images using simple CNNs and Keras

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

C++ Implementation of SMPL: A Skinned Multi-Person Linear Model

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.

Activity Recognition from 2D pose using an LSTM RNN

(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"