Search Results for "accurate"
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Showing 8 open source projects for "accurate"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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1
Porcupine
On-device wake word detection powered by deep learning
Build always-listening yet private voice applications. Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is using deep neural networks trained in real-world environments. Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. -
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NebiOS Alternative Mirror (Official)
An Ubuntu Linux-based OS that aims to end user.
...⚠️ Note on Virtual Machines: NebiOS X is optimized and designed for real hardware performance and native GPU acceleration. Virtualization platforms (VMware, VirtualBox, GNOME Boxes, etc.) may show degraded graphics or system performance. For accurate testing, please install NebiOS X on physical hardware. === System Requirements and informations about before installation can be found at https://nebios.org/download (select your version for it) -
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LaMa
LaMa - A Localization and Mapping library
...The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. It can be used to provide accurate localization for robots equipped with a laser and a not-so-good odometry. Nevertheless, good odometry is always recommended. -
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
...The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.). -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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5
Face Recognition
World's simplest facial recognition api for Python & the command line
...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 folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries. -
6
Perl OBD-II Logger
A Perl program for logging OBD-II PID data
The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. (Output to an SQLite3 database file is also available). ... -
7
PiSNES
SNES emulator for Raspberry Pi
...This is an old version of SNES9X but was chosen as it runs mostly at full speed on the Raspberry Pi unlike the more recent versions of SNES9X. Game support is therefore not as good as the newer SNES9X versions and graphics & sound is not as accurate. Games that will not work, for example, are Yoshi's Island, Street Fighter Alpha 2, Star Fox. This port supports keyboard and USB joystick input and are configurable. It uses GLES2/dispmanx for graphics so can run equally well in the Console or under X-Windows. The audio uses the ALSA API and SDL is used for input. Source code has moved to github https://github.com/squidrpi/pisnes -
8
jablock
Junk Ad Blocker
...The viewer may easily switch to it using a remote control. This project uses a Raspberry Pi processor to present an alternate scene (audio and video) for the viewer to switch to during commercial breaks. It presents an accurate clock face (xclock) so the viewer may determine when to switch back to the TV program. It also produces a continuously running sound track. Commercial breaks are surprisingly repeatable in length. In-program breaks usually last 2.5 minutes; programs usually begin precisely on the hour or half hour. With some practice most commercials may be avoided. ...
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