GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
deep-learning-for-image-processing Watch 1Star10Fork0 macqueen/deep-learning-for-image-processing 代码Issues0Pull Requests0Wiki统计流水线 服务 我知道了,不再自动展开 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)...
The main goal of FAST is to make it easier to do high-performance processing, neural network inference, and visualization of medical images utilizing multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL, and neural network inference libraries such as TensorRT, ...
Cloudmersive Image Processing covers a wide array of common file formats, including PNG, BMP, JPEG, WEBP, PSD and over 100 other file formats. Stateless high-security and high-performance processing ensures fast performance and strong security. You can learn more at the Image Recognition and ...
Cloudmersive Image Processing covers a wide array of common file formats, including PNG, BMP, JPEG, WEBP, PSD and over 100 other file formats. Stateless high-security and high-performance processing ensures fast performance and strong security. You can learn more at the Image Recognition and ...
ImageJ [1] is a powerful, oft-referenced platform for image processing, developed by Wayne Rasband at the National Institutes of Health (NIH). Since its initial release in 1997, ImageJ has proven paramount in many scientific endeavors and projects, particularly those within the life sciences [...
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High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library. - lovell/sharp
Image processing using python and opencv. Contribute to zxt-zzw/ImageProcessingProjects development by creating an account on GitHub.