Load and transform images using a toolbox :toolbox: of custom import directives! - GitHub - JonasKruckenberg/imagetools: Load and transform images using a toolbox of custom import directives!
A CLI tool and Go library for generating a Software Bill of Materials (SBOM) from container images and filesystems. Exceptional for vulnerability detection when used with a scanner like Grype.Join our community meetings!Calendar: https://calendar.google.com/calendar/u/0/r?cid=Y182OTM4dGt0Mj...
Lastly, Deep Lake offers an API to easily connect datasets to ML frameworks and other common ML tools and enables instant dataset visualization through Activeloop's visualization tool. Deep Lake vs MosaicML MDS format Data Storage Format: Deep Lake operates on a columnar storage format, whereas...
Use iPic to upload images on macOS. Contribute to toolinbox/iPicUploader development by creating an account on GitHub.
//github.com/uw-biomedical-ml/RETFound_MAE. Please note that the reported results are obtained from PyTorch models. Images were processed with automated retinal image analysis tool AutoMorph v.1.0 (https://github.com/rmaphoh/AutoMorph). Image data were extracted from Dicom files with Pydicom ...
Manual annotation of each anatomy (thorax, abdomen, wings, and legs) using VGG Image Annotator (VIA) tool. Full size image Loss functions For our problem, recall that there are three specific sub-problems: labeling the anchors as thorax, abdomen, wings or leg; masking the corresponding pixels...
Do-whatever-you-want free HD photos. Gifted by the world's most generous community of photographers.
) * Uses libLZMA and LZ4 (because it's everywhere nowadays) * Uses lzfse from Apple's GitHub * * * * This tool is part of the free downloads for the book "Android Internals: A Confectioner's Cookbook" * But (as of v1.0) is also quite useful or MacOS T2 firmwares and (as of ...
To train the network, set thedoTrainingvariable in the following code totrue. Train the model by using thetrainnet(Deep Learning Toolbox)function. Specify the loss as the custom loss function,lossFcn. By default, thetrainnetfunction uses a GPU if one is available. Training on a GPU require...
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability. - vi