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Kornia is a differentiable computer vision library and cross-framework tensor vision toolset. It implements vision operations as differentiable tensors to enable integration into deep learning pipelines and supports the transpilation of operations across PyTorch, TensorFlow, JAX, and NumPy. The project provides specialized toolsets for geometric vision and stereo depth, including algorithms for 3D scene reconstruction, camera calibration, and pose estimation. It further distinguishes itself as a differentiable image augmentation framework, applying random geometric and color transformations w
SAHI is a sliced inference framework and computer vision pipeline designed to detect small objects in high-resolution images. It provides a system for dividing large images into overlapping patches to prevent the detail loss that typically occurs during standard model downscaling, alongside an image tiling utility and a COCO dataset toolkit. The project distinguishes itself by offering a model-agnostic prediction wrapper that standardizes different machine learning frameworks into a unified interface. This allows it to implement sliced inference and object detection across various model backe
imagededup is a Python library used for finding exact and near-duplicate images. It provides utilities for generating image fingerprints, computing neural embeddings, and evaluating the precision of deduplication processes. The tool utilizes perceptual hashing to identify visually similar files regardless of size or format and employs deep learning models to encode images into vectors for high-accuracy similarity searches. It includes a system for measuring the precision and recall of these processes by comparing results against known ground truth datasets. The library covers broader capabil
This project is a Python wrapper for the OpenCV computer vision library, providing a bridge that exposes high-performance C++ functions to the Python programming language. It serves as a collection of tools for real-time image processing, object detection, and machine learning on visual data. The project provides precompiled binary distributions, allowing for the integration of vision capabilities into Python applications without requiring a local C++ compiler. It offers multi-variant package distributions, including headless versions designed for server or cloud environments where a graphica
ImageHash
The main features of johannesbuchner/imagehash are: Computer Vision, Deep Learning and Computer Vision, Image Processing and Manipulation.
Projects with overlapping indexed features include: obss/sahi — SAHI is a sliced inference framework and computer vision pipeline designed to detect small objects in high-resolution… opencv/opencv-python — This project is a Python wrapper for the OpenCV computer vision library, providing a bridge that exposes… idealo/imagededup — imagededup is a Python library used for finding exact and near-duplicate images. It provides utilities for generating… kornia/kornia — Kornia is a differentiable computer vision library and cross-framework tensor vision toolset. It implements vision… activeloopai/hub — Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and… cgohlke/tifffile — .. This file is generated by setup.py.