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Openpose Alternatives
Similar projects and alternatives to openpose
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mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
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AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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BlazePose-tensorflow
A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
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lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
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MocapNET
We present MocapNET, 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
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Sonar
Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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VIBE
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
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jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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StyleGAN-Human
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
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HR-VITON
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
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UniPose
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single sta
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robotics-level-4
This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
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ONLYOFFICE
ONLYOFFICE Docs — document collaboration in your environment. Powerful document editing and collaboration in your app or environment. Ultimate security, API and 30+ ready connectors, SaaS or on-premises
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better openpose alternative or higher similarity.
openpose reviews and mentions
Posts with mentions or reviews of openpose.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-11.
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Do we have Locally Run AI mocap yet?
OpenPose looks like what you're looking for, it seems to have plugins for Unity. I can't say I've used it though.
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Accelerate Machine Learning Local Development and Test Workflows with Nvidia Docker
FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu18.04 # https://hub.docker.com/r/nvidia/cuda ENV DEBIAN_FRONTEND=noninteractive # install the dependencies for building OpenPose RUN apt-get update && # The rest is ignored for brevity. RUN pip3 install --no-cache-dir # The rest is ignored for brevity. # install cmake, clone OpenPose and download models RUN wget https://cmake.org/files/v3.20/cmake-3.20.2-linux-x86_64.tar.gz && \ # The rest is ignored for brevity. WORKDIR /openpose/build RUN alias python=python3 && cmake -DBUILD_PYTHON=OFF -DWITH_GTK=OFF -DUSE_CUDNN=ON .. # Build OpenPose. Cudnn 8 causes memory issues this is why we are using base with CUDA 10 and Cudnn 7 # Fix for CUDA 10.0 and Cudnn 7 based on the post below. # https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/1753#issuecomment-792431838 RUN sed -ie 's/set(AMPERE "80 86")/#&/g' ../cmake/Cuda.cmake && \ sed -ie 's/set(AMPERE "80 86")/#&/g' ../3rdparty/caffe/cmake/Cuda.cmake && \ make -j`nproc` && \ make install WORKDIR /openpose
- nub needs some directions
- How to get rotation (yaw/pitch/roll) from face detection keypoints?
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Help finding an appropriate model for human pose estimation
Openpose: This is supposedly realtime (I assume on a gpu, 24fps?) and they provide training code
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We built a free, open-source markerless motion capture system during the pandemic. This animation was created with 4x $20US webcams and a gaming PC, details in the comments [OC]
The pose tracking OP’s using relies on openpose - if you look at the GIFs in their readme, they appear to track individual fingers with fairly high resolution, so I’d imagine it would be fairly straightforward to map that to fret positions.
while I congratulate you for putting together a pipeline, I think it has to be said that the basis of this - the very powerful openpose - has a license that is not completely FOSS. It might be open source but is definitely not free as free beer. So if you consider using this for a fancy project (i.e. marketing an app), you have to get in touch with university of california first https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE
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Introducing the FreeMoCap system - We built a free, open-source markerless motion capture system during the pandemic. This animation was created with four $20US webcams and a gaming PC, details in the comments [OC]
Markerless motion capture technology (i.e. AI systems to track joint positions automatically from raw video) have come a long way
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Can someone please guide me regarding these different face detection models?
Caffe is a DL framework just like TensorFlow, PyTorch etc. OpenPose is a real-time person detection library, implemented in Caffe and c++. You can find the original paper here and the implementation here.
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[D] Are there any end-to-end full body pose estimation systems that can be fine tuned?
This is a good pose detection repo: https://github.com/CMU-Perceptual-Computing-Lab/openpose.
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A note from our sponsor - CodiumAI
codium.ai | 27 May 2023
Stats
Basic openpose repo stats
33
27,122
4.7
about 1 month ago
CMU-Perceptual-Computing-Lab/openpose is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of openpose is C++.
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