adaptiveme / packer_boxes
macos-virtualbox, Packer Build for Vagrant Boxes (vmware, virtualbox) - Windows Server, Linux, MacOS
From organization adaptiveme
macos-virtualbox, Packer Build for Vagrant Boxes (vmware, virtualbox) - Windows Server, Linux, MacOS
From organization adaptiveme
macos-virtualbox, Local kubernetes setup on macOS with minikube on VirtualBox and local Docker registry
From user ajaychinthapalli
macos-virtualbox, Vagrantfile for Big Sur MacOs running on VirtualBox
From user devunderslash
macos-virtualbox, Recognize and manipulate faces from Python or from the command line with the world's simplest face recognIition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. This also provides a simple face_recognition command line tool that lets you do face recognition on a folder of images from the command line! import face_recognition image = face_recognition.load_image_file("your_file.jpg") face_locations = face_recognition.face_locations(image) Installation Requirements Python 3.3+ or Python 2.7 macOS or Linux (Windows not officially supported, but might work) Installation Options: Installing on Mac or Linux First, make sure you have dlib already installed with Python bindings: How to install dlib from source on macOS or Ubuntu Then, install this module from pypi using pip3 (or pip2 for Python 2): pip3 install face_recognition Alternatively, you can try this library with Docker, see this section. If you are having trouble with installation, you can also try out a pre-configured VM. Installing on an Nvidia Jetson Nano board Jetson Nano installation instructions Please follow the instructions in the article carefully. There is current a bug in the CUDA libraries on the Jetson Nano that will cause this library to fail silently if you don't follow the instructions in the article to comment out a line in dlib and recompile it. Installing on Raspberry Pi 2+ Raspberry Pi 2+ installation instructions Installing on FreeBSD pkg install graphics/py-face_recognition Installing on Windows While Windows isn't officially supported, helpful users have posted instructions on how to install this library: @masoudr's Windows 10 installation guide (dlib + face_recognition) Installing a pre-configured Virtual Machine image Download the pre-configured VM image (for VMware Player or VirtualBox). Usage Command-Line Interface When you install face_recognition, you get two simple command-line programs: face_recognition - Recognize faces in a photograph or folder full for photographs. face_detection - Find faces in a photograph or folder full for photographs. face_recognition command line tool The face_recognition command lets you recognize faces in a photograph or folder full for photographs. First, you need to provide a folder with one picture of each person you already know. There should be one image file for each person with the files named according to who is in the picture:
From user gujralsanyam22
macos-virtualbox, Project install Virtualbox and Vagrant for MacOs, Windows.
From user hdnguyen3101
macos-virtualbox, Setup a hadoop cluster on macOS using VirtualBox.
From user itudoben
macos-virtualbox, How to install and setup macOS inside of a VirtualBox VM running on Linux.
From user jeffsauer
macos-virtualbox, Helper !!! AWS-CLI/SDK, AVS-SDK, dbus, docker, GitHub/GitLab, GStreamer, jq, linux, macOS, markdown, MQTT, Matter, ONVIF, Raspberry Pi, Asterisk(SIP), svn/git, VirtualBox, Yocto, etc.
From user lankahsu520
macos-virtualbox, Install a k8s cluster on macos using vagrant and virtualbox
From user mnagle1
macos-virtualbox, Contains the configuration of Virtualbox for Kali, Windows, Ubuntu-64 and macOs-Sierra
From user mrangta
macos-virtualbox, Create a local laboratory using Virtualbox, Vagrant and Ansible on MacOS
From user runemalops
macos-virtualbox, Scripts for setting up a Hadoop single node cluster/sandbox using VirtualBox on a macOS
From user sidmishraw
macos-virtualbox, FreeBSD keymap used when using macOS British keyboard to access my server on Bytemark cloud server console or VirtualBox.
From user snowflake
macos-virtualbox, Learn how to run macOS Monterey in a VirtualBox
From user techowns
macos-virtualbox, Tutorial on how to run macOS Big Sur (Beta) in VirtualBox on AMD Ryzen CPU devices (Windows).
From user timothyrlamora734
macos-virtualbox, Build and run a MacOS High Sierra virtual machine with VirtualBox
From user urs-bruelhart
macos-virtualbox, Script to update VirtualBox 7.* version on macOS (CLI)
From user valorisa
macos-virtualbox, For test purpose only, I created a batch to create Mac OS Sierra on VirtualBox on Windows 10
From user wusewolf
macos-virtualbox, use vagrant to setup docker in virtualbox on macOS
From user wxlee
macos-virtualbox, Scripts to setup Vagrant + Virtualbox for Windows 10 VM on macOS
From user xakraz
macos-virtualbox, Uninstall VirtualBox on macOS (Please don't use this)
From user zachary7829
macos-virtualbox, HOWTO run Tiger (MacOS X 10.4) on VirtualBox
From user zettem2017
macos-virtualbox, HOWTO run Tiger (MacOS X 10.4) on VirtualBox
From user zhaiy2ngchao
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.