A self-contained CLI wrapper for mihomo (Clash.Meta) proxy. Bundles the binary + geo data + web UI in the wheel. One mhctl install configures everything (shell completion, setcap, polkit, NetworkMa…

[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

Collect paper about ground segmentation in 3D point cloud.

Codes for RoadBEV: road surface reconstruction in Bird's Eye View

Official code for CAVIS: Context-Aware Video Instance Segmentation

Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.

A header-only program of 3d rotary lidar undistortion using 9-axis imu

[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

[CVPR 2024] Deformable Convolution v4

Official repository for CVPR 2021 paper "Differentiable Diffusion for Dense Depth Estimation from Multi-view Images"

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

A Clash Client For OpenWrt

Lightweight Armoury Crate alternative for Asus laptops with nearly the same functionality. Works with ROG Zephyrus, Flow, TUF, Strix, Scar, ProArt, Vivobook, Zenbook, Expertbook, ROG Ally, and many…

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

[ICLR 2024 & T-PAMI] TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning

C++ implementation of the Python Numpy library

Collection of AWESOME vision-language models for vision tasks

The FORM project for symbolic manipulation of very big expressions

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Images to inference with no labeling (use foundation models to train supervised models).

ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

TensorRT deployment for CenterPoint Lidar Detection Model.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.

This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

Modular framework for online informative path planning.