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...The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. Both SciPy and NumPy run on all popular operating systems, are fast and easy to install, and are powerful yet easy to use. They’re currently depended upon by numerous leading scientists and engineers all over the world. Try them for yourself!

MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. ...

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices.

AppIcon generates *.appiconset contains each resolution image for iOS, MacOS. AppIcon needs path of base image(.png). The size of base image is 1024x1024 pixel preferably.

...The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

Since December 2008, UCL-MSSL developed a platform independent stereo application in collaboration with JPL, NASA as a subtask of EU-FP7 PRoViSG. This work was originally proposed for two months of work, but it was rescheduled to run untill August 2011 after realising its synergetic relationship with other UCL tasks within the ProVisG project. Within this time period, UCL delivered consortium members a stereo application (called StereoWS ver. 1.0), which integrates various practical stereo tools into the JPL’s stereo rendering engine (called JADIS). In addition, a part of software (called StView ver.1.0) was ported to a web-based GIS system (e.g., ProGIS) and ProVIP as a solution for stereo visualisation. ...

SIET, the Simple Image Editing ( Editor ) Tool, is a simple-to-use, handy and free application for such tasks as resizing, cropping, retouching, watermarking, etc... Batch processing is also provided. Because is OS Independent, written in an interpreted language, SIET can run on any platform that has a java virtual machine available. Tested on: Windows 7, Windows XP, Linux Ubuntu, Linux Mint.

Testlab for Image Processing: You can enter formulas like "r = r + b/2; g=g*2; b=b/2" and watch/store the Result. Alternatively cou can run a convolution matrix on the source image. Implemented in Java, fully GUIed, avg. performance.