67 lines
3.4 KiB
Markdown
67 lines
3.4 KiB
Markdown
<img src="https://pic.imgdb.cn/item/64e42356661c6c8e549bab4f.jpg" alt="SpireCV logo" align="right" height="90" />
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# SpireCV Intelligent perception algorithm library
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## Overview
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SpireCV is an **real-time edge perception SDK** built for **intelligent unmanned systems**, with main functions including **camera/pod control**, **video saving and push streaming**, **target detection and tracking**, and **edge data management**. It aims to provide mobile robot developers with high-performance, high-reliability, simple interface and feature-rich visual perception capabilities.
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- Github：https://github.com/amov-lab/SpireCV
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- Gitee：https://gitee.com/amovlab/SpireCV
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- **Maintaining an open-source project is not easy, please click star to support us, thanks! **
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## Quick start
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- Installation and use: [SpireCV user manual](https://docs.amovlab.com/Spire_CV_Amov/#/)、[SpireCV developer kit guide](https://docs.amovlab.com/spirecvkit/#/)
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- Basic knowledge of C++ language and CMake compilation tool is required
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- Need to master the foundation of OpenCV vision library and understand the computational libraries such as CUDA, OpenVINO, RKNN and CANN
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- Need to understand the basic concepts and basic operation of ROS
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- Q&A and communication:
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- Q&A forum (official regular Q&A, recommended): [Amovlab Community - SpireCV Q&A Zone](https://bbs.amovlab.com/)
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- Add WeChat yinyue199506 (note: SpireCV) into the SpireCV intelligent perception algorithm library exchange group
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- Search and subscribe "Amovlab" on YouTube.com, we will update the video from time to time
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## Framework
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#### The main framework is shown in the figure:
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<img width="640" src="https://pic.imgdb.cn/item/64f7112c661c6c8e54b25974.webp"/>
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#### Current support:
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- **Functional level**：
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- [x] Video algorithm module (providing perceptual algorithms with unified interfaces, efficient performance and diverse functions)
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- [x] Video input, save and push stream module (to provide stable, cross-platform video reading and writing capabilities)
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- [x] Camera and pod control module (for the typical hardware ecology to open the interface, easy to use)
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- [x] Sensing information interaction module (providing UDP communication protocol)
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- [x] [ROS interface](https://gitee.com/amovlab1/spirecv-ros.git)
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- **Platform level**：
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- [x] X86 + Nvidia GPUs (10 series, 20 series, and 30 series graphics cards recommended)
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- [x] Jetson (AGX Orin/Xavier、Orin NX/Nano、Xavier NX)
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- [x] Intel CPU
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- [ ] HUAWEI Ascend (coming soon)
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- [ ] Rockchip (coming soon)
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## Demos
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- **QR code detection**
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<img width="400" src="https://pic.imgdb.cn/item/64f700f3661c6c8e54adcb83.gif"/>
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- **Landing mark detection**
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<img width="400" src="https://pic.imgdb.cn/item/64f700f0661c6c8e54adc964.gif"/>
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- **Ellipse detection**
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<img width="400" src="https://pic.imgdb.cn/item/64f700f2661c6c8e54adca9f.gif"/>
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- **Target click tracking (including target detection and tracking)**
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<img width="400" src="https://pic.imgdb.cn/item/64f700f1661c6c8e54adc9ae.gif"/>
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- **Low latency push streaming**
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<img width="400" src="https://pic.imgdb.cn/item/64f700f2661c6c8e54adcad2.gif"/>
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## Copyright statement
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- SpireCV is protected under the Apache License 2.0.
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- SpireCV is for personal use only, please do NOT use it for commercial purposes.
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- If this project is used for profit, Amovlab will pursue infringement.
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