There are 2 repositories under label topic.
TYAttributedLabel 简单,强大的属性文本控件(无需了解CoreText),支持图文混排显示,支持添加链接,image和UIView控件,支持自定义排版显示
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
To speedup and simplify image labeling/ annotation process with multiple supported formats.
Chart.js plugin to display labels on data elements
基于Swift插值方式优雅的构建富文本, 支持点击长按事件, 支持不同类型过滤, 支持自定义视图等.
Convert JSON annotations into YOLO format.
🌭TXScrollLabelView, the best way to show & display information such as adverts / boardcast / onsale e.g. with a customView.
帮助您迅速构建顶部Tab,比如今日头条效果,热搜、搜索记录、与ViewPager/ViewPager2搭配的工具类;
Computer vision based ML training data generation tool :rocket:
🔥空祖家的堆叠标签(以下碎念:一开始起名字“StackLabel”没想太多结果被人吐槽Stack是整齐堆叠的意思...........好吧这是我的锅不过现在要改也来不及了,好用就行了...吧?
Efficient, Easy to Use Thermal Printing & POS (Windows/Linux/OSX, WiFi/BT/USB/Ethernet)
Adds animated counting support to UILabel.
一行代码添加文本点击事件/a fast way to implement click event text
YOLOV5 semi-automatic annotation tool (Based on labelImg)
Powerful text framework for iOS to display rich text based on TextKit, inspired by Texture and YYText.
open source embossed label maker
Simplify operation NSAttributedString, make writing easier. Attributes String Editing Factory. iOS 富文本编辑, 让代码更清晰. 文本编辑, 高度计算, 正则匹配等待... 简便操作, 让你爽到爆!
An UILabel subclass that lets you animate text with different types
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
A customizable React Native TextInput with its placeholder always shown. Includes masks, global styles, character count, and a bunch else.
An extensive Swift framework providing simple and customizable markdown parsing.
Toloka-Kit is a Python library for working with Toloka API.
☑️ A customiseable FlatList that allows you to select multiple rows
A drop-in replacement for UILabel that supports NSAttributedString, rich text, display any view, links, select copy and more
Delphi and Lazarus HTML Label component
PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python 3 and PyQT5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.
UILabel subclass for links which are tappable, long-pressable, 3D Touchable, and VoiceOverable.
:label: Python label/sticker PDF generation. HTML templates, built-in barcodes, qr codes, and other goodies
📦 A GitHub Action for marking issues as dependent on another
Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data