chaomath Goto Github PK
Name: chaomath
Type: User
Company: aiways
Bio: I am interested in 3D Object Detection, including lidar and monocular
Location: shanghai
Name: chaomath
Type: User
Company: aiways
Bio: I am interested in 3D Object Detection, including lidar and monocular
Location: shanghai
TensorRT deploy and PTQ/QAT tools development for FastBEV, total time only need 6.9ms!!!
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
The official implementation of the paper DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection (ICLR 2023)
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Docker image for OpenPCDet
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detection(top1),waymo pedestrian 3D Object Detection(top1)
A PyTorch implementation of EfficientNet
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
base: https://github.com/Sense-GVT/Fast-BEV , delete time sequence,update mm releated ,add onnx export for tensorrt
Transformer related optimization, including BERT, GPT
FastPillars: A Deployment-friendly Pillar-based 3D Detector
The code is implemented to show focal loss improvement based on 3D-FCN and VoxelNet for “Focal Loss in 3D Object Detection”.
[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
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The PyTorch Implementation of F-ConvNet for 3D Object Detection
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
Real-time SLAM system with deep features
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
how to optimize some algorithm in cuda.
Lantern官方版本下载 蓝灯 翻墙 科学上网 外网 加速器 梯子 路由 lantern censorship-circumvention censorship gfw vpn accelerator
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.