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Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and images. It functions as a dataset version control system and a machine learning data streaming engine to support large-scale model training. The system utilizes a serverless PostgreSQL vector store to index high-dimensional embeddings for semantic search. It provides a visual interface for inspecting multimodal datasets and viewing annotations such as bounding boxes and masks. The platform handles cloud-agnostic storage synchronization and implements lazy, compressed data strea
A tiny Python library for writing multi-channel TIFF stacks.
Remove stripes from images with a combined wavelet/FFT approach
)](https://github.com/andrewekhalel/sewar/actions/workflows/workflow.yaml)
The main features of andrewekhalel/sewar are: Deep Learning and Computer Vision, Image Processing and Manipulation.
Projects with overlapping indexed features include: idealo/imagededup — imagededup is a Python library used for finding exact and near-duplicate images. It provides utilities for generating… bodenmillergroup/xtiff — A tiny Python library for writing multi-channel TIFF stacks. cgohlke/tifffile — .. This file is generated by setup.py. activeloopai/hub — Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and… dhi-gras/rmstripes — Remove stripes from images with a combined wavelet/FFT approach. johannesbuchner/imagehash — ImageHash.
