ueke616's Stars
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
ZhangGe6/onnx-modifier
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
MAhaitao999/CUDA_Programming
《CUDA编程基础与实践》一书的代码
catchorg/Catch2
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
pybind/pybind11
Seamless operability between C++11 and Python
PINTO0309/PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
iwatake2222/self-driving-ish_computer_vision_system
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
walzimmer/active-anno-3d
ADLab-AutoDrive/BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
ChongjianGE/MetaBEV
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
The-OpenROAD-Project/OpenLane
OpenLane is an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen and custom methodology scripts for design exploration and optimization.
OpenDriveLab/OpenLane-V2
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
yuliangguo/Pytorch_Generalized_3D_Lane_Detection
[ECCV 2020] Official PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'
lucastabelini/LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
wzzheng/TPVFormer
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
autonomousvision/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
OpenDriveLab/Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
DerryHub/BEVFormer_tensorrt
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
openvinotoolkit/openvino
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
MaxReimann/video-stream-consistency
Interactive Temporal Consistency for Video Streams (Computer Graphics Forum, 2023)
MVIG-SJTU/AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
laugh12321/TensorRT-YOLO
🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下,享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.
bubbliiiing/unet-pytorch
这是一个unet-pytorch的源码,可以训练自己的模型
tusen-ai/SST
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).
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All