218 Open source projects that are alternatives of or similar to sense-iOS

Source code for my blog post series "On-device training with Core ML"

An example of how to integrate the Gesture Recognition Toolkit into an iPhone app

Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.

Build your iOS 11+ apps with the ready-to-use Core ML models below

CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.

Simulate the real environment, perform edge computing, edge caching experiments

Recognize gestures using a simple webcam.

zenoh client library written in C and targeting micro-controllers.

PyTorch Project Specification.

Predict handwritten digits with CoreML

A computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures.

DuEdge百度边缘网络计算样例代码

A framework for trace-driven simulation of serverless Function-as-a-Service platforms

HED real-time iOS edge detector.

You can set up drag, pinch events in any browser.

Hand gestures as an input device

Microsoft Cloud Workshop Asia for Intelligent Cloud / Intelligent Edge

GIMLeT – Gestural Interaction Machine Learning Toolkit

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

Lightweight data stream processing engine for IoT edge

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

Linux multi-touch gesture recognizer

Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

The official PyTorch implementation of "Context Matters: Self-Attention for sign Language Recognition"

The Mapbox Gestures for Android library makes it easy to detect and handle user gestures on an Android device.

Low level MacOS management in JavaScript via BetterTouchTool

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

An iOS app that can detect a dog and determine its breed from an image or video feed.

AdvantEDGE, Mobile Edge Emulation Platform

microblx: real-time, embedded, reflective function blocks.

YOLOv3 for iOS implemented using CoreML.

A sensor fusion approach to the recognition of microgestures.

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

The example of running Depth Prediction using Core ML

🌅 iOS11 demo application for visual sentiment prediction.

Create ML playgrounds for building machine learning models. For developers and data scientists.

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

Managed Machine Learning Systems and Internet of Things Live Lesson

CarLens - Recognize and Collect Cars

Detect various irregularities of a product as it moves along a conveyor belt.

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

A Big Awesome List CoreML Models.

Gesture Recognition For Human-Robot Interaction with modelling, training, analysing and recognising gestures based on computer vision and machine learning techniques. This work was done at Distributed Artificial Intelligence Lab (DAI Labor), Berlin.

The challenge projects for Inferencing machine learning models on iOS

The core runtime engine for Ambianic Edge devices.

BSP and examples to integrate the SparkFun TensorFlow board with the AmbiqSuite

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).

Control lights in the physical world from the augmented world using hand gestures. Using Magic Leap Hand Poses (Gestures) and PubNub.

Developed a pipeline to remotely control appliances using minimal face gestures and neck movements.

TriangleGAN, ACM MM 2019.

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing

A flexible configuration manager for Wireguard networks

Intel Realsense Toolkit for Hand tracking and Gestural Recognition on Unity3D

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

Element detection with Vision Framework and CoreML

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.