helloworld77

AlgorithmsSedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

Android-Plugin-Framework

Android Plugin Framework 插件开发框架及示例程序，原理介绍等

awesome-deep-vision

A curated list of deep learning resources for computer vision

Awesome-Knowledge-Distillation-for-Autonomous-Driving

A collection of papers about knowledge distillation in autonomous driving.

Awesome-Monocular-3D-detection

Awesome Monocular 3D detection

Awesome-Online-HDMap

methods of online vector map for autonomous driving.

Awesome_HDMap

Awesom high definition map methods collection with detailed interpretations of some key papers.

awesome_SSD_FPN_GIoU

This repository carries out some paper recurring work

BEV-Perception

Bird's Eye View Perception

MonoCD

[CVPR 2024] MonoCD: Monocular 3D Object Detection with Complementary Depths

helloworld77/Awesome_HDMap

Awesom high definition map methods collection with detailed interpretations of some key papers.

helloworld77/HarmoDistill-BEV

Harmonizing Attention Fields with Knowledge Distillation for Multi-View 3D Object Detection

helloworld77/MonoCD

[CVPR 2024] MonoCD: Monocular 3D Object Detection with Complementary Depths

helloworld77/Awesome-Knowledge-Distillation-for-Autonomous-Driving

A collection of papers about knowledge distillation in autonomous driving.

helloworld77/Awesome-Monocular-3D-detection

Awesome Monocular 3D detection

helloworld77/Awesome-Online-HDMap

methods of online vector map for autonomous driving.

helloworld77/BEV-Perception

Bird's Eye View Perception

helloworld77/BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

helloworld77/CameraCalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

helloworld77/CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

helloworld77/cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

helloworld77/DCNv2

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

helloworld77/face_det

helloworld77/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

helloworld77/Lidar_AI_Solution

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

helloworld77/lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

helloworld77/LoGoNet

[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion.

helloworld77/Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

helloworld77/MGD

Masked Generative Distillation (ECCV 2022)

helloworld77/mmtracking

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

helloworld77/mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

helloworld77/MODNet

A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]

helloworld77/OpenCV-Python-Tutorial

OpenCV问答群不再维护。有问题，自己去搜索。Google能找到大部分答案。

helloworld77/OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

helloworld77/PyTorch-Networks

Pytorch implementation of cnn network

helloworld77/SA-SSD

SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)

helloworld77/SelfDN

helloworld77/Sparse4D

Sparse4D v1 & v2

helloworld77/StreamPETR

This repository is an official implementation of PETR series

helloworld77/SUSTechPOINTS

3D Point Cloud Annotation Platform for Autonomous Driving