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imagor is a fast, secure image processing server and Go library. imagor uses one of the most efficient image processing library libvips. It is typically 4-8x faster than using the quickest ImageMagick and GraphicsMagick settings. imagor implements libvips streaming that facilitates parallel processing pipelines, achieving high network throughput. imagor features a ton of image processing use cases
Deep neural network to extract intelligent information from invoice documents. TL;DR An easy to use UI to view PDF/JPG/PNG invoices and extract information. Train custom models using the Trainer UI on your own dataset. Add or remove invoice fields as per your convenience. Save the extracted information into your system with the click of a button. ⭐ We appreciate your star, it helps! The InvoiceNet
This is a tool for anonymizing photographs taken at protests. It will remove identifying metadata (Exif data) from photographs, and also allow you to selectively blur parts of the image to cover faces and other identifiable information. Click or drag onto the open button to open a photograph. The program will display the data it is removing. Click okay, and you can then save the scrubbed image by
imagededup is a python package that simplifies the task of finding exact and near duplicates in an image collection. This package provides functionality to make use of hashing algorithms that are particularly good at finding exact duplicates as well as convolutional neural networks which are also adept at finding near duplicates. An evaluation framework is also provided to judge the quality of ded
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