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algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

avp-slam-plus

An implementation of AVP_SLAM and some new contributions

awesome-lane-detection

A paper list of lane detection.

awesome-synthtext

A curated list of awesome synthetic data for text location and recognition

bevdet

Official code base of the BEVDet series .

bevformer

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

bevfusion

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

book

chinese_ocr

中文ocr识别

conditional-lane-detection

crnn_chinese_characters_rec

chinese characters recognition

cross_view_transformers

Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

ctrip_spider

携程爬虫(破解eleven, ctrip_cookie)

cvprojects

computer vision projects | 计算机视觉等好玩的AI项目

data

PCD files for tutorials, examples, or PCL-related applications

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

detr3d

dl-algorithm-summary

深度学习总结，包含基础知识、目标检测、目标跟踪、目标分类，深度学习八股文，相关竞赛等

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

hdmapnet

lanenet-tensorrt

:fire: :fire: :fire: 车道线检测Lanenet TensorRT加速C++实现

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

livox_lane_detection

mma-net

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection (ICCV 2021)

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mnn-lanenet

Lane detection model for mobile device via MNN project

mobileformer

MobileFormer in torch