A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
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Updated
Feb 23, 2021 - JavaScript
A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
GammaCV is a WebGL accelerated Computer Vision library for browser
Interactive Image similarity and Visual Search and Retrieval application
Interactive Visualization Interface for Multidimensional Datasets
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting
OHIF Plugin for The Visualization Toolkit (VTK)
A React component for grabbing the color palette from an image(一个提取图片主要颜色的React组件)
This sample project integrates OpenAI's GPT-4 Vision, with advanced image recognition capabilities, and DALL·E 3, the state-of-the-art image generation model, with the Chat completions API. This powerful combination allows for simultaneous image creation and analysis.
Generate the object-position value to capture an image's focal point given a custom aspect-ratio.
Provides image optimisation information within the browser
Binary classification to filter and block unsolicited NSFW content from annoying coworkers... --- ...
Un proyecto sobre metadatos del guild de ciberseguridad
A demo of Google's latest vision based AI model, gemini-pro-vision.
Analyze images of MTG cards
Image Recognition as a Service is a scalable #AWS-powered web app that exposes a deep learning model via REST API, using EC2 auto-scaling and load balancing to handle image input and return predictions efficiently.
A node command line tool which can be used to find duplicate images in a directory even if the images differ in resolution, contrast, brightness or color.
The official Node integration for Optidash API
hls video processor
🍦 JavaScript implementation of a color percentage generator from an Image source.
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