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AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
⭐ Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 ⭐
v2ray linux GUI客户端，支持订阅、vemss、ss等协议，自动更新订阅、检查版本更新
The LiDAR segmenters library, for segmentation-based detection.
An implementation of AVP-SLAM and some new contributions
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsens…
A Robust LiDAR-Inertial Odometry for Livox LiDAR
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
Deep Learning tools and applications for NVIDIA AGX platforms.
Poisson Surface Reconstruction for LiDAR Odometry and Mapping