- Search Results for «raster image processor»
- Showing 173 open source projects for «raster image processor»
- Raster Vision
- Super-PDF-Editor-Lite
- Super-PDF-Editor
- Rawgraphs app
- folium
- node-canvas
- Benthos
- Jittor
- SageMaker TensorFlow Serving Container
- BerryNet
- Open Source Linux Raster Graphics Software
- Tux Paint
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- LightHouseSoftware/rip
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Search Results for «raster image processor»
Showing 173 open source projects for «raster image processor»
The Future of Fraud Prevention Fraud.net provides fraud detection services for financial services, retail and payments organizations.
Fraud.net delivers the world’s most advanced infrastructure for fraud management – powered by a sophisticated collective intelligence network, world class artificial intelligence, and a modern, cloud-based platform that helps you.
Your single integration to industry leading, secure blockchain infrastructure for web3. Scale with ease through our end-to-end suite of blockchain technology, from dedicated nodes and APIs to easily-accessible staking and liquid staking, MPC tech, and more.
Raster Vision
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 models.
Super-PDF-Editor-Lite
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.
Super-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. Easy pdf imposition, booklet, n ups pages, and more. OCR.
Rawgraphs app
Inspired by and built on top of open-source projects. RAWGraphs is open to the community for contributions. Almost 30 visual models to visualize quantities, hierarchies, and time series and find insights in your data. Even though RAWGraphs is a web app, the data you insert will be processed only by your web browser. Save your project, or export it as a vector or raster image. Edit it within your favorite software. RAWGraphs is an open source data visualization framework built with the goal.
The premier cloud-based TMS software that makes logistics simple with one login for all inbound and outbound transportation management across parcel, LTL, FTL, ocean, and intl air. Seamless integration into your current tech stack (ERP/ WMS/CRM) and highly configurable to your existing workflows. With connections to 300+ carriers, brokers, & marketplaces, getting the best rates and optimizing shipping processes is easy. Trusted by Toshiba, NewEgg, Forever 21, e-commerce, and top automakers.
folium
folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via folium. folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map. The library has a number of built.
node-canvas
If you don’t have a supported OS or processor architecture, or you use —build-from-source, the module will be compiled on your system. This requires several dependencies, including Cairo and Pango. Note that libgif/giflib, librsvg and libjpeg are optional and only required if you need GIF, SVG and JPEG support, respectively. Cairo v1.10.0 or later is required. This project is an implementation of the Web Canvas API and implements that API as closely as possible. For API documentation, please.
Benthos
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes.
Jittor
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.
SageMaker TensorFlow Serving Container
. are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. «cpu», «gpu», «ei») has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand.
Flexible Search and Discovery Hosted APIs Algolia enables developers to build next generation apps with APIs that deliver relevant content in milliseconds.
Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive.
BerryNet
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.
Open Source Linux Raster Graphics Software
Browse free open source Raster Graphics software and projects for Linux below. Use the toggles on the left to filter open source Raster Graphics software by OS, license, language, programming language, and project status.
The Future of Fraud Prevention Fraud.net provides fraud detection services for financial services, retail and payments organizations.
Fraud.net delivers the world’s most advanced infrastructure for fraud management – powered by a sophisticated collective intelligence network, world class artificial intelligence, and a modern, cloud-based platform that helps you.
The premier cloud-based TMS software that makes logistics simple with one login for all inbound and outbound transportation management across parcel, LTL, FTL, ocean, and intl air. Seamless integration into your current tech stack (ERP/ WMS/CRM) and highly configurable to your existing workflows. With connections to 300+ carriers, brokers, & marketplaces, getting the best rates and optimizing shipping processes is easy. Trusted by Toshiba, NewEgg, Forever 21, e-commerce, and top automakers.
Tux Paint
Tux Paint is a free, award-winning drawing program originally created for children ages 3 to 12, but enjoyed by all! It combines an easy-to-use interface, fun sound effects, and an encouraging cartoon mascot who guides children as they use the program. You’re presented with a blank canvas and a variety of drawing tools to help them be creative. Along with paintbrush, shapes and text, Tux Paint includes a «stamp» feature to add pre-drawn or photographic imagery to pictures, and a set of «magic tools» that provide filter effects (like blur, tint and waves) and interesting drawing tools (like train tracks, bubbles and grass). Tux Paint includes a collection of «starter» images, both coloring-book style and photo-realistic, and a large collections of stamps are available as a separate download. Additional content can be added by parents & teachers, or downloaded from 3rd parties. Tux Paint is available for Windows, macOS, Android, Linux, & Haiku operating systems, among others.
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Raster and Image Processor
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LightHouseSoftware/rip
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README.md
RIP is a library for complex image processing.
- I/O
- JPEG(based on dlib, only loading)
- TGA(based on dlib, only loading)
- BMP(based on dlib, only loading)
- PNG(based on dlib, loading/saving)
- simple and convenient intermediate format (PPM P6)
- PPM(loading/saving)
- PAM(loading/saving)
- grayscale
- negative
- operations with bit set
- colorization
- rough of pixels
- order filters(4 filters)
- linear filters(11 filters)
- convolution
- operations with histogram
- surface (generalized image type)
- surfaces addition, subtraction, multiplication and other arithmetic operations
- logical operation with surfaces
- gamma correction and inverting of image
- color
- color arithmetic
- generation RGBColor from others color formats
- useful math functions
- ranges
- templates
- channels for working with pixels on channel level
- IFS systems
- L-systems
- drawing math funcs
- drawing primitives
- turtle
- another interest graphical procedures
The most funcs has their analogs for working with ranges.
- add more operations for histograms
- add more drawing funcs
- add more formats into IO package
- add ‘vision’ package for digital vision
- clean code
- optimize code
- write documantation
If you have advices, please, create Issue. You can help us!
ImPureD Team, LightHouse Software
Documentaion available only for package "concepts" on site http://lighthousesoftware.github.io/rip
RIP needs dlib library for loading jpeg/png/bmp/tga files. WARNING: image can be saved ONLY in ppm/pam/png formats.
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Raster and Image Processor