pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials. (by lucasb-eyer)
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation (by CMU-Perceptual-Computing-Lab)
| pydensecrf | openpose | |
|---|---|---|
| 5 | 36 | |
| 1,921 | 30,025 | |
| - | 1.3% | |
| 3.1 | 5.1 | |
| 3 months ago | about 1 month ago | |
| C++ | C++ | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pydensecrf
Posts with mentions or reviews of pydensecrf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-06.
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[Help] Looking for a CRF python/pytorch library
- PyDenseCRF : It does not have learnable parameters.
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Why is pip install a .whl file if I am on Ubuntu?
Thanks to your observation I was able to find this solution which resolved the issue.
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Help with installing Python library
The documentation for pydensecrf says it requires a recent version of Cython. Do you have a recent version of Cython installed, and is it set up enough that you can do, for instance, from Cython.Build import cythonize?
openpose
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 2023-11-25.
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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?
When comparing pydensecrf and openpose you can also consider the following projects:
DarkHelp - C++ wrapper library for Darknet
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
cysimdjson - Very fast Python JSON parsing library
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.
crfasrnn_pytorch - CRF-RNN PyTorch version http://crfasrnn.torr.vision
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
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.
python-crfsuite - A python binding for crfsuite
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
pydensecrf vs DarkHelp
openpose vs mediapipe
pydensecrf vs cysimdjson
openpose vs AlphaPose
pydensecrf vs mediapipe
openpose vs detectron2
pydensecrf vs crfasrnn_pytorch
openpose vs mmpose
pydensecrf vs Dlib
openpose vs lightweight-human-pose-estimation.pytorch
pydensecrf vs python-crfsuite
openpose vs BlazePose-tensorflow