Showing 181-200 of 2,275 projects
A Jupyter Notebook-based AI image generation tool for developers building with AI tools and technologies.
A highly-starred open-source SLAM (Simultaneous Localization and Mapping) library for monocular, stereo, and RGB-D cameras.
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
A MATLAB library for deep photo style transfer, enabling developers to apply artistic styles to photos.
An open-source computer vision library with thousands of pre-built algorithms and features.
A deep learning library for generating and manipulating images, including semantic style transfer.
A comprehensive repository for computer vision best practices, code samples, and documentation.
PyTorch3D is a library of reusable components for deep learning with 3D data, developed by Facebook AI Research.
Official implementation of the paper 'Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection'.
High-resolution 3D human digitization from a single image using a deep learning model.
LaMa is a PyTorch-based library for high-resolution image inpainting using Fourier convolutions.
An AI-powered tool for removing hard-coded subtitles and text-like watermarks from videos or pictures, with no need for third-party APIs.
U^2-Net is a deep learning-based salient object detection library for Python that can be used for image processing and background removal.
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
An open-source project that uses deep learning and OCR to translate text in manga/images
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
An implementation of the YOLOv9 object detection model, a state-of-the-art computer vision AI.
A tiny vision language model for developers building AI-powered applications.
A fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Easy-to-use image segmentation library with pre-trained models for tasks like semantic, panoptic, and 3D segmentation.
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