VIBE
openpose
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VIBE | openpose | |
---|---|---|
5 | 36 | |
2,802 | 29,867 | |
- | 1.6% | |
0.0 | 5.1 | |
about 1 year ago | 15 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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VIBE
- 3D reconstruction models for human body
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Any ghetto Mo'Cap solutions?
there are projects like this and similar, that are able to create motion capture from video: https://github.com/KevinLTT/video2bvh or https://github.com/mkocabas/VIBE
- My experience using VIBE ( free motion extraction tool for animation )
- Free deep learning tool for extracting animation from videos (link in post)
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Markerless Motion Capture - Turning Videos into 3D Animations
Another Edit: Here's another one that supports FBX export out of the box: https://github.com/mkocabas/VIBE
openpose
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AI "Artists" Are Lazy, and the Ultimate Goal of AI Image Generation (hint: its sloth)
Open Pose, a multi-person keypoint detection library for body, face, hands, and foot estimation [10], is used for posing generated characters;
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Analyze defects and errors in the created images
OpenPose
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[D] Which open source models can replicate wonder dynamics's drag'n'drop cg characters?
Perhaps something like OpenPose for pose estimation?
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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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Let's take a break!
You are correct. Open Pose has two keypoints for the eyes and two more for the ears. By saying were the ears are you automatically influence the angle of the head. You can see more about it on this github page. Just scroll a tiny bit and you can see a gif of the nodes overlapped on humans
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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
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full body tracking with WiFi signals by utilizing deep learning architectures
One of the best cam only libraries (no depth sensor) I've seen is openpose, I ran it through a 360 camera and it was able to track body, face, and fingers really well even with spherical distortion from the 360 cam. example 360
- How to do body tracking for (real) camera
- How to get rotation (yaw/pitch/roll) from face detection keypoints?
What are some alternatives?
video2bvh - Extracts human motion in video and save it as bvh mocap file.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
smplx - SMPL-X
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.
SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".