255 Open source projects that are alternatives of or similar to Simple Hrnet

This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

🌌 OpenVTuber-虚拟アイドル共享计划 An application of real-time face and gaze analyzation via deep nerual networks.

Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

Everything you need in order to get YOLOv3 up and running in the cloud. Learn to train your custom YOLOv3 object detector in the cloud for free!

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

The reimplementation of YOLO-V3 in TensorFlow.(comming soon)

annotation and specification for yolov3

Object Detection using Yolo V3 and OpenCV

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

yolov3 with mobilenetv2 and efficientnet

You can import this module directly

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

automated social distancing monitoring system

This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.

ODAM - Object detection and Monitoring

A PyTorch implementation of the YOLO v3 object detection algorithm

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Car Crash Accident Project

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

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

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

convert keras (tensorflow backend) yolov3 h5 model file to darknet yolov3 weights

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

An accident avoidance program that raises alert when nearby vehicles are moving at a relative speed faster than a threshold value, additionally it logs some data onto NEM-Mijin blockchain network

Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

ExPose - EXpressive POse and Shape rEgression

An AI Tool to Help Customers Monitor Social Distancing in the Workplace.

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Deploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices

PaddlePaddle实现的目标检测模型PP-YOLO

Implementation of YoloV3 and Caffe in OpenCvSharp

Yet Another Implimentation of Pytroch 0.4.1 and YoloV3 on python3

Using DenseNet for human pose estimation based on TensorFlow.

电力人工智能数据竞赛——液压吊车目标检测赛道

Yolov3 on tensorflow2.0 and tensorrt7.0

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Real-time face detection model using YOLOv3 with Keras

Bilevel Online Adaptation for Human Mesh Reconstruction

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Implement YOLOv3 with TensorFlow

Go bindings for Darknet (YOLO v4 / v3)

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

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

Framework to build your own reverse image search engine

https://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a

CCFDF rebar detection

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019

TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018

A client to connect to cortex-provisioned infrastructure on AWS to do license plate identification in real time.