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CPP Implementation of "LightGlue: Local Feature Matching at Light Speed"
This repository contains the source code of BEBLID: Boosted Efficient Binary Local Image Descriptor
The C++ Implementation of XFeat (Accelerated Features).
Real-time SLAM with deep features (XFeat + ORB-SLAM3)
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
Neural radiance fields(NeRF) c++ LibTorch implementation
yolov11 的tensorRT C++ 部署,后处理使用cuda实现比较耗时的操作。
A unified and extensible pipeline for deep learning model inference with C++. Now support yolov8, yolov9, clip, and nanosam. More models will be updated soon.
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
SPEED SAM C++ TENSORRT: A high-performance C++ implementation using TensorRT and CUDA
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
纯c++的全平台llm加速库,支持python调用,chatglm-6B级模型单卡可达10000+token / s,支持glm, llama, moss基座,手机端流畅运行
Boss直聘助手-优化UI去除广告,批量投递简历,高级筛选,GPT自动打招呼,多账号管理...
Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
🚀🚀 Revisiting Binary Local Image Description for Resource Limited Devices
视觉SLAM十四讲ch13中VO的详细注释版本,基本覆盖所有理解难点,尤其对入门学者十分友好!!
这是关于Nokov度量科技动作捕捉设备在获取机器人、无人机等姿态真值的设置说明,动作捕捉设备用于室内SLAM的真值获取可能是目前最佳方式,其精度可达亚毫米级别
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
Real-time detection of diverse dynamic objects in complex environments.