Search Results for "dependencies"

whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. ...

...K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. K3s is packaged as a single <70MB binary that reduces the dependencies and steps needed to install, run and auto-update a production Kubernetes cluster. Both ARM64 and ARMv7 are supported with binaries and multiarch images available for both. K3s works great on something as small as a Raspberry Pi to an AWS a1.4xlarge 32GiB server.

A full-featured gcode platform used for interfacing with advanced CNC controllers like GRBL , TinyG, g2core and Smoothieware. Universal Gcode Sender is a self-contained Java application that includes all external dependencies and can be used on most computers running Windows, MacOSX or Linux. With older versions of GRBL UGS is pretty reliable when it comes to jogging, but there are limitations. With GRBL 1.1 this is no longer the case when using the new JOG MODE syntax. This first-class jog mode guarantees the GCODE state will be unaltered and also allows you to stop a jog while it is in progress. ...

...Just follow these steps: #download: $ wget https://sourceforge.net/projects/all-things-ubuntu-library/files/ATU_arm-linux.tar.gz #extract: $ tar -xf ATU_arm-linux.tar.gz #install ATU locally: $ ./ATU_arm-linux --install #you also recommended to install dependencies like this: $ sudo ./ATU_arm-linux --installdeps #if you're using Vivid this will also f

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...