All Projects → lc-soft → Lc Finder

lc-soft / Lc Finder

Licence: gpl-2.0
An image annotation and object detection tool written in C

Programming Languages

c
50402 projects - #5 most used programming language

Projects that are alternatives of or similar to Lc Finder

Labelbox
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Stars: ✭ 1,588 (+874.23%)
Mutual labels:  recognition, image-annotation, detection, tools
Rectlabel Support
RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (+107.36%)
Mutual labels:  image-annotation, detection, tools
Labelimg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Stars: ✭ 16,088 (+9769.94%)
Mutual labels:  recognition, detection, tools
Mtcnn
face detection and alignment with mtcnn
Stars: ✭ 66 (-59.51%)
Mutual labels:  recognition, detection
Codenameone
Cross-platform framework for building truly native mobile apps with Java or Kotlin. Write Once Run Anywhere support for iOS, Android, Desktop & Web.
Stars: ✭ 992 (+508.59%)
Mutual labels:  cross-platform, uwp
Tika Python
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Stars: ✭ 997 (+511.66%)
Mutual labels:  recognition, detection
Dearpygui
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Stars: ✭ 6,631 (+3968.1%)
Mutual labels:  cross-platform, tools
Ccpd
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
Stars: ✭ 1,252 (+668.1%)
Mutual labels:  recognition, detection
Arcgis Appstudio Samples
Collection of samples available in AppStudio for ArcGIS desktop to learn and help build your next app.
Stars: ✭ 78 (-52.15%)
Mutual labels:  cross-platform, uwp
Httptransfertasks
Cross Platform HTTP Transfers for downloading and uploading (supports background operations)
Stars: ✭ 87 (-46.63%)
Mutual labels:  cross-platform, uwp
Essentials
Essential cross platform APIs for your mobile apps.
Stars: ✭ 1,344 (+724.54%)
Mutual labels:  cross-platform, uwp
Make Sense
Free to use online tool for labelling photos. https://makesense.ai
Stars: ✭ 2,087 (+1180.37%)
Mutual labels:  image-annotation, detection
Mvvmlight
The main purpose of the toolkit is to accelerate the creation and development of MVVM applications in Xamarin.Android, Xamarin.iOS, Xamarin.Forms, Windows 10 UWP, Windows Presentation Foundation (WPF), Silverlight, Windows Phone.
Stars: ✭ 973 (+496.93%)
Mutual labels:  cross-platform, uwp
Tensorflowandroiddemo
TensorFlow android demo 车道线 车辆 人脸 动作 骨架 识别 检测 抽烟 打电话 闭眼 睁眼
Stars: ✭ 589 (+261.35%)
Mutual labels:  recognition, detection
Coco Annotator
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
Stars: ✭ 1,138 (+598.16%)
Mutual labels:  image-annotation, detection
Bulllord Engine
lightspeed lightweight elegant game engine in pure c
Stars: ✭ 539 (+230.67%)
Mutual labels:  cross-platform, uwp
Vxscan
python3写的综合扫描工具,主要用来存活验证,敏感文件探测(目录扫描/js泄露接口/html注释泄露),WAF/CDN识别,端口扫描,指纹/服务识别,操作系统识别,POC扫描,SQL注入,绕过CDN,查询旁站等功能,主要用来甲方自测或乙方授权测试,请勿用来搞破坏。
Stars: ✭ 1,244 (+663.19%)
Mutual labels:  detection, tools
Crosswindow
💻📱 A cross platform system abstraction library written in C++ for managing windows and performing OS tasks.
Stars: ✭ 155 (-4.91%)
Mutual labels:  cross-platform, uwp
Uno
Build Mobile, Desktop and WebAssembly apps with C# and XAML. Today. Open source and professionally supported.
Stars: ✭ 6,029 (+3598.77%)
Mutual labels:  cross-platform, uwp
Reactivemvvm
Cross-platform ReactiveUI sample app built for a talk at MSK .NET conf.
Stars: ✭ 94 (-42.33%)
Mutual labels:  cross-platform, uwp

LC's Finder

Image annotation and object detection tool

GitHub Actions Build Status License Github Release Github All Releases Repo size Code size

Introduction

中文版

LCFinder (LC's Finder) is an image management tool that supports image annotation and object detection. It is written in C and uses LCUI for its graphical interface. As with the author's other projects, the naming is simple, it begins with LC, and the following Finder is referenced from the Finder in Mac OS.

LCFinder's user interface and feature design is based on the "photos" application that comes with Windows, Although it is a reference, the functional aspects are mainly developed according to the author's individual needs, and the author does not intend to waste time to implement all the functions of the "photo" application.

Features

  • Image annotation: Provides a simple GUI for marking bounded boxes of objects in images for training Yolo v3 and v2
  • Object detection: Built-in image detector, It can automatically annotate the detected objects in the images.
  • Search by tags: You can browse and search tagged images in the tags view
  • Localization: Support English, Simplified Chinese, Traditional Chinese, expandable support for other languages.
  • Private space: A password-protected space where you can hide non-public image sources
  • UWP: Support for Windows Universal Platform (UWP), you can click this link to view it in the windows app store. Due to the development cost of the UWP version, it will not be updated with the desktop version.

Screenshots

screenshot 1

screenshot 1

screenshot 1

screenshot 1

Install

If you want to use the detector, you need the following steps:

  1. Download pre-trained models:
  2. Copy the .weights file to its namesake directory in the app/detector/models directory, such as: copy yolov3.weights file to app/detector/models/yolov3/

Contributing

If you are interested in fixing issues and contributing directly to the code base, please see the contributing guidelines, which covers the following:

Related Projects

The development of LCFinder is inseparable from the support of these projects:

  • LCUI — UI engine, provide graphical user interface support
  • LCUI.css — UI component library, provides basic styles and components for the graphical user interface
  • darknetlib — C bindings for darknet, provide image recognition support

License

Licensed under the GPL License.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].