Starred repositories
mall学习教程,架构、业务、技术要点全方位解析。mall项目(60k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot、MyBatis、Elasticsearch、RabbitMQ、Redis、MongoDB、MySQL等技术,采用Docker容器化部署。
face detection face recognition包含人脸检测(retinaface,yolov5face,yolov7face,yolov8face),人脸检测跟踪(ByteTracker),人脸角度计算(Face_Angle)人脸矫正(Face_Aligner),人脸识别(Arcface),口罩检测(MaskRecognitiion),年龄性别检测(Gender_age),静…
静默活体检测(Silent-Face-Anti-Spoofing)
A curated list of resources for Image and Video Deblurring
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
Deep Multi-scale CNN for Dynamic Scene Deblurring
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Human head pose estimation using Keras over TensorFlow.
Cross-platform, customizable ML solutions for live and streaming media.
Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
code for paper "Physical-World Optical Adversarial Attacks on 3D Face Recognition"
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Pre-training Toolbox and Benchmark
Android face detect and segmentation,facemesh by ncnn
Implementation of ShuffleNetV2 for pytorch
ShuffleNet-V2 for both PyTorch and Caffe.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"
RepVGG: Making VGG-style ConvNets Great Again