Face detect api
This package contains types used in the [Face SDK](https://www.npmjs.com/package/@haechi-labs/face-sdk).
Draw the face and labels for Pingpenguin
Get slapped across the face.
MediaPipe Vision Tasks
Detect if web fonts are available
returns the face-with-head-bandage emoji
returns the face-with-rolling-eyes emoji
Bioseal upload is a library that contains both a webcam for desktop navigation and the access to the camera plus the upload tool for the phone. it takes the face picture, send it to the API, returns a score for the quality and if the face is detected.
JavaScript API for face detection and face recognition in the browser with tensorflow.js
A React.js component for displaying the face of a Nest thermostat.
returns the face-with-thermometer emoji
A minimalistic JavaScript implementation of the Jinja templating engine, specifically designed for parsing and rendering ML chat templates.
A CSS @font-face src property value parser
Package to get the face landmarks using dlib c++
Hubot plugin to add a moustache to the face of an uploaded photo (Slack only)
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
Pretrained face detection model
Pretrained face detection model in TensorFlow.js
Normalize unicode-range descriptors, and can convert to wildcard ranges.
Clean the face detection from react-native-camera
Incremental parser
Emoji keyword library.
Pretrained face landmarks detection model
This gem attempts to discern whether an image contains any faces. Depends on OpenCV.
Detect faces and uses RMagick to blur faces.
Easy face-cropping
A simple javascript rage faces lib that marks up text with rage face pics
Ruby client for Hugging Face API
Microsoft Oxford Face API
Simple face detection
Versionize exists to provide simple version management and reporting.
An Active Model validator that uses the face.com API to ensures an image contains a face
Themes for Rad Face (rad_face)
Ruby wraper of SkyBiometry Face Detection and Recognition API
Paperclip processor that is aware of the faces detected on the image so that they don't get cropped or aren't shown too small while generating the thumbnails
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