hp-richtext, 是一个适用于 HarmonyOS Next 的富文本解析组件。

RichEditor for Android is a beautiful Rich Text WYSIWYG Editor for Android.

Android Asm 插桩 教学

[ECCV 2022] RCLane: Relay Chain Prediction for Lane Detection

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

ConsecutiveScrollerLayout是Android下支持多个滑动布局(RecyclerView、WebView、ScrollView等)和普通控件(TextView、ImageView、LinearLayou、自定义View等)持续连贯滑动的容器,它使所有的子View像一个整体一样连续顺畅滑动。并且支持布局吸顶功能。

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

人生苦短，让脚手架为你节省时间。（目前作为《最佳实践》项目的 Dev 版优先更新）

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

统计中国大陆的烂尾楼

🔥折线图、Retrofit、RxJava、RxLifecycle、DataBinding、MVP、MVVM、自动化测试工具UiAutomator、自定义控件、RecyclerView扩展组件、NDK开发、Design Support Library、蓝牙BLE开发、正则表达式

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022

音乐播放歌词控件LrcView

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, ben…

A paper list of lane detection.

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

A collection of resources on applications of Transformers in Medical Imaging.

层叠卡片效果的ViewPage

Android高仿探探首页滑动效果

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

RF-Net: A Unified Meta-Learning Framework for RF-enabledOne-Shot Human Activity Recognition

Applying curriculum to meta-learning for few shot classification

A PyTorch Library for Meta-learning Research

deep learning for image processing including classification and object-detection etc.

Transformer在CV和NLP领域的变体模型的从零解读：Transformer；VIT；Swin Transformer

RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images

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