开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Die Hauptfunktionen von aizootech/facemaskdetection sind: Computer Vision Libraries.
Open-Source-Alternativen zu aizootech/facemaskdetection sind unter anderem: albumentations-team/albumentations — Albumentations is a computer vision image augmentation library designed to increase training data diversity for deep… alexeyab/darknet — Darknet is a high-performance C-based inference engine and computer vision library designed for real-time object… alexjc/neural-doodle — Neural Doodle is a collection of neural network tools designed for image upscaling, texture synthesis, and… aliaksandrsiarohin/first-order-model — This project is a generative adversarial network designed for image animation and motion transfer. It functions as a… arm-software/computelibrary — [acl-release-shield]: https://img.shields.io/badge/version-53.1.0-green [acl-release]:… akshayubhat/deepvideoanalytics.
Albumentations is a computer vision image augmentation library designed to increase training data diversity for deep learning models. It provides a toolset for applying geometric and color transformations to images and annotations, including a specialized collection of 3D operations for volumetric data used in medical and scientific imaging. The library functions as an image mask and bounding box transformer, automatically updating masks, bounding boxes, and keypoints when images undergo geometric changes. This ensures that spatial alterations remain synchronized across images and their assoc
Darknet is a high-performance C-based inference engine and computer vision library designed for real-time object identification and localization. It serves as a neural network framework for training and deploying detection models using the YOLO architecture, providing a toolset for deep learning training and deployment. The project differentiates itself through a C and CUDA implementation that enables hardware acceleration for matrix multiplication and inference speed optimization. It provides a shared library interface for embedding detection capabilities into external applications and suppo
Neural Doodle is a collection of neural network tools designed for image upscaling, texture synthesis, and semantic-guided style transfer between visual inputs. It provides a semantic style transfer engine and an example-based image upscaler that increase image resolution by referencing visual details from a target style example. The project includes a neural texture synthesizer for creating seamless bitmap textures and repeating patterns from a single input style image. It also functions as an image generation tool capable of transforming simple sketches and photos into detailed artwork. Th