Human-pose-estimation VS learnopencv

Compare Human-pose-estimation vs learnopencv and see what are their differences.

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Human-pose-estimation learnopencv
1 6
4 20,363
- -
0.0 8.6
almost 2 years ago 11 days ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only -
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.

Human-pose-estimation

Posts with mentions or reviews of Human-pose-estimation. We have used some of these posts to build our list of alternatives and similar projects.

learnopencv

Posts with mentions or reviews of learnopencv. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Human-pose-estimation and learnopencv you can also consider the following projects:

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.

YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.

qc-tutorial - Komprehenzivni uvod u svijet kvantnog računarstva na srpskom jeziku

xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results

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

fastMONAI - Simplifying deep learning for medical imaging