Search Results for "segment"
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Showing 236 open source projects for "segment"
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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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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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Jasna
Video restoration tool
...The software offers BasicVSR++ restoration and an optional LTX diffusion model for more detailed reconstruction. A graphical interface provides processing queues, presets, previews, and a segment editor for selecting specific regions. Users can also watch restored videos in real time without exporting new files. Jasna supports VR180 content, batch processing, and command-line automation. It runs on Windows and Linux with compatible NVIDIA GPUs and experimental AMD acceleration. Additional sharpening and enhancement models are available through supporter licensing. -
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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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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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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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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. -
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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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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. -
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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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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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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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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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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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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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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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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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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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SAM 3D Objects
Models for object and human mesh reconstruction
SAM 3D Objects is a foundation model that reconstructs full 3D geometry, texture, and spatial layout of objects and scenes from a single image. Given one RGB image and object masks (for example, from the Segment Anything family), it can generate a textured 3D mesh for each object, including pose and approximate scene layout. The model is specifically designed to be robust in real-world images with clutter, occlusions, small objects, and unusual viewpoints, where many earlier 3D-from-image systems struggle. It supports both single-object and multi-object generation, allowing you to reconstruct entire scenes rather than just isolated items. ... -
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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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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and... -
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Mesh R-CNN
code for Mesh R-CNN, ICCV 2019
Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. ... -
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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.
