Search Results for "segment"
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Showing 221 open source projects for "segment"
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Jesta I.S. | Enterprise Software For Retail and Supply ChainUnify your people and operations across all departments and channels. Discover end-to-end retail, wholesale, and supply chain management software suites designed to scale.
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Cortex: Boost Developer Coding SkillsCortex is a simple portal that helps developers work smarter by linking all your tools, setting clear rules, and slashing repetitive tasks. It speeds up onboarding, updates old code, and fixes issues fast. Over 100 big companies use it to save time and get better results.
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Segment Anything
Provides code for running inference with the SegmentAnything Model
Segment Anything (SAM) is a foundation model for image segmentation that’s designed to work “out of the box” on a wide variety of images without task-specific fine-tuning. It’s a promptable segmenter: you guide it with points, boxes, or rough masks, and it predicts high-quality object masks consistent with the prompt. The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. ... -
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segment-geospatial
A Python package for segmenting geospatial data with the SAM
The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. ... -
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Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion
Grounded-Segment-Anything is a research-oriented project that combines powerful open-set object detection with pixel-level segmentation and subsequent creative workflows, effectively enabling detection, segmentation, and high-level vision tasks guided by free-form text prompts. The core idea behind the project is to pair Grounding DINO — a zero-shot object detector that can locate objects described by natural language — with Segment Anything Model (SAM), which can produce detailed masks for objects once they are localized. ... -
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AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
The AWS X-Ray daemon listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the AWS X-Ray API. The daemon works in conjunction with the AWS X-Ray SDKs and must be running so that data sent by the SDKs can reach the X-Ray service. The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. You can send the segment/subsegment in JSON over UDP port 2000 to the X-Ray daemon, prepended by the daemon header. -
Workable Hiring Software - Hire The Best People, FastWorkable is the preferred software for today's recruiting industry and HR teams, trusted by over 6,000 companies to streamline their hiring processes. Finding the right person for the job has never been easier—users now possess the ability to manage multiple hiring pipelines at once, from posting a job to sourcing candidates. Workable is also seamlessly integrated between desktop and mobile, allowing admins full control and flexibility all in the ATS without needing additional software.
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SAM 3
Code for running inference and finetuning with SAM 3 model
SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. -
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X-AnyLabeling
Effortless data labeling with AI support from Segment Anything
X-AnyLabeling is an open-source data annotation platform designed to streamline the process of labeling datasets for computer vision and multimodal AI applications. The software integrates an AI-powered labeling engine that allows users to generate annotations automatically with the assistance of modern vision models such as Segment Anything and various object detection frameworks. It supports labeling tasks across images and videos and enables developers to prepare training datasets for tasks such as object detection, segmentation, classification, tracking, and pose estimation. The tool is built with an interactive graphical interface that simplifies annotation workflows and allows users to draw and edit labels directly on visual data. ... -
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P2P Media Loader
An open-source engine for P2P streaming of live and on demand video
p2p-media-loader is a JavaScript library that enables peer-to-peer delivery of video content using WebRTC, reducing server load and improving scalability for streaming platforms. It works seamlessly with HLS and DASH formats by extending existing players like hls.js and dash.js, allowing viewers to share video segments with one another. The library is optimized for browser environments and is ideal for developers looking to build decentralized or bandwidth-efficient media applications. -
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ggrepel
epel overlapping text labels away from each other in your ggplot2
...When placing text labels on a plot (e.g. labeling points), the labels can often overlap; ggrepel ensures labels don’t overlap (or overlap less) by repelling labels / pushing them away, adding connecting lines or nudges, etc. It improves the readability of plots, especially when many labels are present. Support for point and segment geoms (so labels can be connected by lines when moved). Supports both plotting of labels inside or outside plot area, with trimming/clipping etc. -
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Persepolis Download Manager
Persepolis Download Manager is a GUI for aria2
Persepolis is a download manager & a GUI for Aria2. It's written in Python. Persepolis is a sample of free and open source software. It's developed for GNU/Linux distributions, BSDs, MacOS, and Microsoft Windows. -
Self-hosted n8n: No-code AI workflowsA free-to-use workflow automation tool, n8n lets you connect all your apps and data in one customizable, no-code platform. Design workflows and process data from a simple, unified dashboard.
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PostHog Browser JS Library
Send usage data from your web app or site to PostHog
PostHog JS is the JavaScript SDK for integrating PostHog's product analytics into web applications. It allows developers to track user interactions, analyze behavior, and improve app performance based on user data. -
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps
...This repository proposes an implementation to predict word timestamps and provide a more accurate estimation of speech segments when transcribing with Whisper models. Besides, a confidence score is assigned to each word and each segment. -
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N_m3u8DL-RE
Cross-Platform, modern and powerful stream downloader
N_m3u8DL-RE is a modern cross-platform command-line downloader designed to capture and save streaming media delivered through protocols such as HLS, DASH, and MSS. The tool enables users to download both video-on-demand and live streams, then automatically process and merge media segments into playable files. Built with performance and flexibility in mind, it supports multiple operating systems including Windows, Linux, and macOS. The project includes extensive command-line options for... -
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rudderstack
Privacy and Security focused Segment-alternative, in Golang
Quickly deploy flexible, powerful customer data pipelines, then send the data to your entire stack—without the engineering headache. Our complete toolset makes it easy to level-up your customer data stack. Spare your data engineers the headache. Our 180+ integrations, along with custom webhook sources and destinations, save data teams hundred of hours. Say goodbye to different versions of the truth. Our SDKs track anonymous and known users at the source and reconcile users in your warehouse... -
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WS2812FX
WS2812 FX library for Arduino and ESP8266
...You can search for WS2812FX in the Arduino IDE Library Manager or install the latest (or development) version manually. More complex effects can be created by dividing your string of LEDs into segments (up to ten) and programming each segment independently. Use the segment() function to program each segment's mode, color, speed, and direction (normal or reverse). Note, some effects make use of more than one color (up to three) and are programmed by specifying an array of colors. Random color introduced alternating from start and end of strip. Alternating white/red/black pixels running. ... -
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Sonic Agent
Agent of Sonic cloud real machine platform
Agent of Sonic Cloud Real Machine Platform. Sonic is a platform that integrates remote control debugging and automated testing of mobile devices, and strives to create a better use experience for global developers and test engineers. -
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AWS X-Ray SDK for Python
AWS X-Ray SDK for the Python programming language
...Oftentimes, it may be useful to be able to disable X-Ray for specific use cases, whether to stop X-Ray from sending traces at any moment or to test code functionality that originally depended on X-Ray instrumented packages to begin segments prior to the code call. For example, if your application relied on an XRayMiddleware to instrument incoming web requests, and you have a method that begins subsegments based on the segment generated. -
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AWS X-Ray SDK for Go
AWS X-Ray SDK for the Go programming language
...Install the SDK using the following command (The SDK's non-testing dependencies will be installed): Use go get to retrieve the SDK to add it to your GOPATH workspace. X-Ray Go SDK will by default generate no-op trace and segment id for unsampled requests and secure random trace and entity id for sampled requests. If customer wants to enable generating secure random trace and entity id for all the (sampled/unsampled) requests (this is applicable for trace id injection into logs use case) then they achieve that by setting AWS_XRAY_NOOP_ID environment variable as False. -
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Sa2VA
Official Repo For "Sa2VA: Marrying SAM2 with LLaVA
...It merges the segmentation power of a state-of-the-art video segmentation model (based on SAM‑2) with the vision-language reasoning capabilities of a strong LLM backbone (derived from models like InternVL2.5 / Qwen-VL series), yielding a system that can answer questions about visual content, perform referring segmentation, and maintain temporal consistency across frames in video. With minimal instruction tuning (often one-shot), Sa2VA can handle tasks such as “segment the main subject,” “what are the objects in this scene?”, or “track this object through the video,” outputting pixel-perfect masks or spoken/textual answers as appropriate. -
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Baritone
Google maps for block game
A Minecraft pathfinder bot. Baritone is the pathfinding system used in Impact since 4.4. How to immediately get started: Type #goto 1000 500 in chat to go to x=1000 z=500. Type #mine diamond_ore to mine diamond ore. Type #stop to stop. For more, read the usage page and/or watch this tutorial playlist. For other versions of Minecraft or more complicated situations or for development, see Installation & setup. Also consider just installing Impact, which comes with Baritone and is easier to... -
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Mixpanel iPhone
Official iOS (Objective-C) Tracking Library for Mixpanel Analytics
Mixpanel-iPhone is an official SDK for integrating Mixpanel analytics into iOS apps. It enables developers to track user interactions, segment user behavior, and perform advanced analytics to improve user engagement. -
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BudouX
Standalone, small, language-neutral
Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning-powered line break organizer tool. It is standalone. It works with no dependency on third-party word segmenters such as Google cloud natural language API. It is small. It takes only around 15 KB including its machine learning model. It's reasonable to use it even on the client-side. It is language-neutral. You can train a model for any language by feeding a dataset to BudouX’s training... -
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ColorSchemes.jl
colorschemes, colormaps, gradients, and palettes
...Refer to Peter Kovesi's PerceptualColourMaps package, or to Fabio Crameri's Scientific Colour Maps for more information. If you want to make more advanced ColorSchemes, use linear-segment dictionaries or indexed lists, and use functions to generate color values, see the make_colorscheme() function in the ColorSchemeTools.jl package. -
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SponsorBlock
Skip YouTube video sponsors (browser extension)
...The extension also features an upvote/downvote system with a weighted random-based distribution algorithm. Once one person submits this information, everyone else with this extension will skip right over the sponsored segment. SponsorBlock is a crowdsourced browser extension that let's anyone submit the start and end time's of sponsored segments of YouTube videos. -
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KACTL
KTH algorithm competition template library
...Instead of reinventing algorithms on the fly during contests like ACM-ICPC or Codeforces rounds, competitors can import exactly the component they need — whether a segment tree with lazy propagation, a minimum cost flow solver, or a fast Fourier transform — and focus their energy on problem logic and strategy. -
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
Easy DataSet is a comprehensive open-source tool designed to make creating high-quality datasets for large language model fine-tuning, retrieval-augmented generation (RAG), and evaluation as easy and automated as possible by providing intuitive interfaces and powerful parsing, segmentation, and labeling tools. It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure content into rich datasets tailored for downstream LLM training needs. The system includes automated question-generation capabilities, hierarchical label trees, and answer generation pipelines that use LLM APIs to produce coherent paired data with customizable templates. Beyond dataset creation, Easy-dataset also provides a built-in evaluation system with model testing and blind-test features, helping teams validate model performance using curated test sets.
