DREAM VS kapao

Compare DREAM vs kapao and see what are their differences.

DREAM

DREAM: Deep Robot-to-Camera Extrinsics for Articulated Manipulators (ICRA 2020) (by NVlabs)

kapao

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses. (by wmcnally)
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DREAM kapao
1 1
139 741
0.7% -
3.5 0.0
7 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later 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.

DREAM

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

kapao

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

What are some alternatives?

When comparing DREAM and kapao you can also consider the following projects:

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.

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

IkomiaApi - Deploy Computer Vision solutions with a few lines of code.