deep-learningdatasetdeeplearningdatasetscomputational-photographycvprcolor-correctionimage-enhancementmulti-scalelow-light-imageexposure-correctionlow-light-enhanceoverexposure-correctionunderexposure-correctioncoarse-to-finecvpr2021 UpdatedDec 24, 2023 MATLAB
📐 Get the pixel scale of an image, or scale it up or down without quality loss. Useful for pixel art! imagecanvaspixel-artpixelsimage-processingimage-resizeimagedata UpdatedMay 13, 2024 TypeScript Resize image on S3 by AWS Lambda
https://res.cloudinary.com/demo/image/upload/c_scale,w_400/bike.jpgUsing the @cloudinary/url-gen package, you transform an image by performing one or more transformation actions on the CloudinaryImage object (see the syntax overview). Remember to import the actions that you are using:Tip ...
MultiScaleImage MultiView 静音麦克风 MutuallyExclusiveCheckBox NaiveBayes NamedSet 命名空间 NamespaceInternal NamespacePrivate NamespaceProtected NamespacePublic NamespaceSealed NamespaceShortcut NamespaceSnippet NavigateElement NavigateExternalInlineNoHalo NavigateMenu NavigationApplication NavigationPane Navig...
Applications that use Amazon Rekognition Image commonly need to display the images that are detected by Amazon Rekognition Image operations and the boxes around detected faces. To display an image correctly in your application, you need to know the image
MoveToFolder MoveUp MSDN MSMQConnection MTLFile MTM MultiFileConnection MultiFlatFileConnection MultipleOutputExcluded MultiplyMember MultiplyMemberFormula MultiScaleImage MultiView MuteMicrophone MutuallyExclusiveCheckBox 貝氏機率 NamedSet 命名空間 NamespaceInternal NamespacePrivate NamespaceProtected NamespacePublic...
We opted for a 2D parallel-beam CT setup to facilitate large-scale experiments with many example images, whereas the underlying operators in the algorithms have straightforward generalizations to other geometries. We focus on two reconstruction tasks with high relevance and impact—the first task is ...
Then, CLBs apply convolution kernels with different strides to capture multi-scale context for performance improvement. More recently, some attempts that adopt early-fusion frameworks were developed based on the UNet++. Peng et al. [27] proposed an improved UNet++ with multiple side-outputs fusion...
where both computation and storage are scalable resources which can be purchased from remote server farms. Software like ImageJ which hopes to remain effective for serious scientific inquiry into the coming decades must be architected so that its algorithms scale well to increasingly large data process...
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.