virtual_drawing_board VS Human-pose-estimation

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

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virtual_drawing_board Human-pose-estimation
2 1
32 4
- -
0.0 0.0
over 2 years ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License 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.
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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.

virtual_drawing_board

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

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.

What are some alternatives?

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

robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

learnopencv - Learn OpenCV : C++ and Python Examples

EyeDraw - Small computer vision software that allows you to draw with your own eyes

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

open-metric-learning - Library for metric learning pipelines and models.

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

CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

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

tradingview-scraper

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.

notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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.