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Showing 10 open source projects for "application"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AWS IoT Device SDK v2 for Python
Next generation AWS IoT Client SDK for Python
Next-generation AWS IoT Client SDK for Python using the AWS Common Runtime. This document provides information about the AWS IoT Device SDK v2 for Python. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-compression, aws-c-http, aws-c-cal, aws-c-auth, s2n ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Python by the awscrt package (PyPI). AWS IoT provides the cloud... -
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential... -
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events... -
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GROWbox Supervisor System (GROWSS)
Automated Plant Environment Growing System using Raspberry Pi
...The environmental values are saved to the local storage every 15 minutes and when an alarm is present. Hi & low values are also saved. The LEDs on the case & the mobile application indicate if there is a high/low temp alarm, hi/low humidity alarm, soil moisture alarm, or smoke alarm. A speaker (buzzer) is activated on the case if there is a smoke alarm. 2 other LEDs indicate if either the exhaust fan is on or if the humidifier is on. -
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Mirrorcast
Open Source Alternative to Chromecast, Mirror Desktop and Play media r
...Google chromes screen mirroring feature works well when used with a receiver such as Chromecast but this is a proprietary solution and audio does not work for desktop mirroring on some operating systems. At the moment, there is only a client for Debian/Ubuntu Operating systems and a server/receiver application for Raspberry pi. Mirrorcast aims to be a low latency screen mirroring solution with high-quality video and audio at 25-30fps, the later is why we will not use something like VNC. Mirrorcast uses up about the same amount of system resources as google chromes cast feature. The delay is less than 1 second on most networks. To achieve this we will use existing FOSS software such as ffmpeg, mpv, and omxplayer. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a... -
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Quadcontrol
Quadcopter Remote Control by RaspberryPi
An application to control remotely a Quadcopter throught a Raspberry Pi. The goal is to be able to command and view what is in front of the quadcopter with a camera. This is allready working using a python Webserver and streaming video from Raspberry Camera. You can play also without camera support from command line with remote access. -
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Raspberry Pi Remote
Remotely manage, access and control your Raspberry Pi
Raspberry Pi Remote allows you to manage, access and control your Raspberry Pi remotely. Simply install the server side application on your Raspberry PI and the Client side one on your computer and you're away. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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RaspyBox
A dropbox client for the raspberry pi
...Functionality: Upload Download Make directories Delete Navigate Shortcut keys (insert for upload, del for delete, navigate or download with enter key or double click) How to use it: Download the python dropbox sdk from here https://www.dropbox.com/developers/reference/sdk extract it and install it by executing sudo setup.py install -f Create a new application in your drobox developer page Give a name to the app and get the app key and secret key. Put them in the raspberryDropy.py Run ./raspberryDropy.py, type login and follow the instructions After you finish press ctrl+D to quit and execute the ./raspberryDropy_gui.py Enjoy.
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