Human Activity Recognition Python Packages

actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

paddledet

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

pyadlml

Sklearn flavored library containing numerous Activity of Daily Livings datasets, preprocessing methods, visualizations and models.

acti-motus

Python-powered activity detection algorithms that build upon Acti4, processing data from multiple accelerometers with a required thigh sensor.

wsdp

A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac

ppdet-notebook

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

py-sues

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.