Search Results for "raster image processor"
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Showing 14 open source projects for "raster image processor"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training... -
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Replicate Flux MCP
MCP for Replicate Flux Model
The Replicate Flux MCP is an advanced Model Context Protocol server that empowers AI assistants to generate high-quality images and vector graphics. It leverages Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. -
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Anything to NotebookLM
Multi-source content processor for NotebookLM
Qiaomu Anything to NotebookLM is a Claude Code skill that turns many types of source material into structured NotebookLM-ready outputs. It is built for users who want to convert articles, web pages, videos, PDFs, office files, podcasts, images, and search results into more usable study or presentation formats. The project uses natural-language commands, so the user can ask for a podcast, slide deck, mind map, report, quiz, flashcards, or infographic without manually building the workflow. It... -
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Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement... -
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Super PDF Editor (a Batch PDF Processor)
Create, Edit, Delete, Organize , Convert, Export, Secure & Sign PDF.
Super PDF Editor - Powerful, superfast, lightweight PDF processor. All-in-one PDF solution, PDF editing with 80+ tools and functions. The easy-to-use software is complete with editing tools for modifying PDF files your way. Most comprehensive, powerful, process-based and lightning-fast batch processor software. OCR PDF. PDF Imposition, Reverse Pages, Resize Page, Scale Page, Booklet, N-up Pages, Merge, Split by page, Extract Page, Rotate Page. Replace Page, Insert Page, Delete Page.... -
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Super-PDF-Editor
World's most comprehensive, powerful, process-based PDF editor
World's most comprehensive, powerful, process-based and lighting fast PDF reader, editor and batch processor. PDF editing with 60+ features rich tools and function like OCR pdf and images and produce output like searchable PDF, Text, Hocr, Box, Unlv. Also, improve image enhancement before OCR operation for better OCR performance. pdf Imposition, etc. Super PDF Editor is best for bulk pdf processing, especially for the printing industry. -
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Super-PDF-Editor-Lite
World's most comprehensive, powerful, process-based PDF editor
World's most comprehensive, powerful, process-based and lighting fast PDF reader, editor and batch processor. Includes features like Create PDF from Images, HTML, Text files. Create a processing log file. Extract Page, Split Page, Rotate Page, Merge Page, Duplicate page, Move Page, Printing, and Compress Page. Improve image enhancement before OCR operation for better OCR performance. pdf Imposition, etc. Super PDF Editor is best for bulk pdf processing, especially for the printing industry. ... -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events... -
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Scilab Image Processing Toolbox
Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS
SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel -
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Animal is AN IMAging Library written in C. Its simple API supports over 80 image formats, and is intended to make massive use of other image processing libraries. Animal aims at image analysis and recognition. It is mainly the C basis of the SIP toolbox.
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IMAGINE
Biological image viewer and processor
Detection, enumeration, and sizing of biological organisms by image analysis. -
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LBP in multiple platforms
LBP implementation in multiple computing platforms (ARM,GPU, DSP...)
...This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014 -
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darknocK detects edges in images. It is using Artificial Neural Networks to enchance the results of standard algorithms.
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This projects aim is to create an easy to use system for computer perception and computer vision tasks. It consists of three parts; a computer perception library (libCP), a processor based framework, and a graphical userinterface.
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