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Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
This is the implementation of the paper "SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection" (ICCV 2023)
基于人脸识别的课堂考勤系统v2.0
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Simplicity in Speed, Purity in Design. Redefine Your Hexo Journey.
🌊 一款 Material Design 风格的 Hexo 主题 / An elegant Material-Design theme for Hexo
A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！
Learning and Building Convolutional Neural Networks using PyTorch
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。
[ICCV 2023] PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
Official implementation of PointBeV: A Sparse Approach to BeV Predictions
ncnn is a high-performance neural network inference framework optimized for the mobile platform
✨My dotfiles on macOS or Linux for Neovim, Zsh, Kitty, Ranger, etc
The goal is to find the best algorithm for content-based image retrieval.
Content-Based Image Retrieval (CBIR) using Faiss (Facebook) and many different feature extraction methods ( VGG16, ResNet50, Local Binary Pattern, RGBHistogram)
An image retrieval engine . 图像检索系统。
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
[CVPR'21] Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation
Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]
利用RetinaNet实现交通标志检测
DeepStream YOLO with DeepSORT Tracker , NvDCF and IoU Trackers. As well as YOLO + ByteTrack implementation
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models