zhangwulong Goto Github PK
Name: Valen
Type: User
Name: Valen
Type: User
this is a 2D Vnet model of Keras Version,The architecture of the model is the same as the original 3D Vnet, except that this is a network for 2D image segmentation (the convolution kernel becomes 2D)
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Code for 3D object detection for autonomous driving
Add bisenetv2. My implementation of BiSeNet
pytorch implement of CascadeRCNN,736px(max side),41.2mAP(COCO),21.94fps(RTX 2080TI)
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
End2End Multi-View Feature Matching with Differentiable Pose Optimization
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目,提供一个小型数据集用作验证,使用三元组损失函数(Triplet loss)提升准确率和泛化能力,对FaceNet进行了一种实现。
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
pytorch implement of fasterRCNN,736px(max side),39.4mAP(COCO),30.21fps(RTX 2080TI)
Flops counter for convolutional networks in pytorch framework
Gaze estimatin code. The Pytorch Implementation of "It’s written all over your face: Full-face appearance-based gaze estimation".
Keras implementations of Generative Adversarial Networks.
A Keras implementation of YOLOv3 (Tensorflow backend)
Learn OpenCV : C++ and Python Examples
🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOv5, YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv8. MNN, NCNN, TNN, ONNXRuntime.
使用ONNXRuntime部署LSTR基于Transformer的端到端实时车道线检测,包含C++和Python两个版本的程序
MachineLP CodeFun
The official repository for MedSAM: Segment Anything in Medical Images.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Opencv4.0 with python (English&中文), and will keep the update ! 👊
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.