Search Results for "image segmentation delphi source code"
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Showing 9 open source projects for "image segmentation delphi source code"
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
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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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Image32
A 2D graphics library written in Delphi Pascal
Image32 is a comprehensive 2D graphics library written in Delphi Pascal. It provides an extensive range of image manipulation and drawing functions. NOTE: THIS LIBRARY IS NOW HOSTED ON GITHUB AND FURTHER DEVELOPMENT CONTINUES THERE. THE SOURCE CODE HERE IS FUNCTIONAL BUT NO LONGER UP TO DATE. -
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Blaiz Tools
Tools for working with Gossamer codebase and app source code
Tools for packing files, converting images, manipulating text, checking code and working with the Gossamer codebase and app source code. -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes... -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it... -
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WFM Reader
WFM file reader and exporter
====== DISCLAIMER ====== Since 2018 WFM reader is out of date. Thanks for using it for several years :) Please use official WFM-file format description (pdf) located at: http://download.tek.com/manual/001137803web_0.pdf ====== DISCLAIMER ====== ====== OBSOLETED DESCRIPTION ====== WFM reader and exporter is the simple application to read WFM file that produced by Tektronix/Rigol oscilloscopes. In the version 2.0: - Recovered the tabbed interface - Added Zooming/Scrolling -... -
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ARPI is a spanish acronym for Analysis, Acknowledgement and Image Procesing. Allowing a person with poor programming knowledge to create algorithms, configure theirs parameters(images, matrixes, etc) and run them, using a computer or network computers.
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