# MaixPy **Repository Path**: brainliang/MaixPy ## Basic Information - **Project Name**: MaixPy - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: dev - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-06-30 - **Last Updated**: 2025-06-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README MaixPy (v4) ======
![](https://wiki.sipeed.com/maixpy/static/image/maixpy_banner.png) **Let's Sipeed up, Maximize AI's power!** **MaixPy** (v4): Easily create AI projects with Python on edge device

Quick Start | Documentation | API | Hardware

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![MaixCAM](https://wiki.sipeed.com/maixpy/static/image/maixcams.png) ## Feature Overview MaixPy offers simple Python programming combined with powerful edge computing hardware. Integrated hardware peripheral operations, video streaming, AI vision algorithms, and audio algorithms etc. With its plug-and-play design, MaixPy enables you to quickly implement your intelligent projects. Additionally, MaixPy provides the MaixVision IDE, MaixHub online training platform, detailed documentation, and even a C/C++ SDK with identical APIs, ensuring seamless development and production deployment. Here is a partial video demonstration of the features. For more documentation, please visit the **official website: [wiki.sipeed.com/maixpy/](https://wiki.sipeed.com/maixpy/)** > If you like this project, please click **Star** on the top right of the [MaixPy Project](https://github.com/sipeed/maixpy) to encourage us to develop more exciting content! [![](./docs/static/image/maixcam_play.jpg)](https://www.youtube.com/watch?v=qV1lw0UVUYI) ## Concise and Efficient Code (API) Design With MaixPy you can easily create **AI vision project** within **10 lines of code**: ```python from maix import camera, display, image, nn classifier = nn.Classifier(model="/root/models/mobilenetv2.mud") cam = camera.Camera(classifier.input_width(), classifier.input_height(), classifier.input_format()) disp = display.Display() while 1: img = cam.read() res = classifier.classify(img) max_idx, max_prob = res[0] msg = f"{max_prob:5.2f}: {classifier.labels[max_idx]}" img.draw_string(10, 10, msg, image.COLOR_RED) disp.show(img) ``` Result: ![](https://wiki.sipeed.com/maixpy/static/video/classifier.gif) ## Edge(embeded) friendly Simply use hardware **peripheral** like serial port: ```python from maix import uart devices = uart.list_devices() serial = uart.UART(devices[0], 115200) serial.write_str("hello world") print("received:", serial.read(timeout = 2000)) ``` ## MaixVision workstation We also provide a handy **[MaixVision](https://wiki.sipeed.com/en/maixvision)** workstation software to make development easier and faster: ## MaixHub online platform **[MaixHub](https://maixhub.com)** provide free online AI train service, one click to train AI model and deploy to MaixCAM even you have no AI knowledge and expensive training equipment. ![MaixHub](https://wiki.sipeed.com/maixpy/static/image/maixhub.jpg) ## Hardware platform MaixCAM And we provide two powerful hardware platform **[MaixCAM](https://wiki.sipeed.com/maixcam)** and **[MaixCAM-Pro](https://wiki.sipeed.com/maixcam-pro)**, with datasheet register level open. ![MaixCAM](https://wiki.sipeed.com/maixpy/static/image/maixcams.png) | CPU | NPU | Memory | | --- | --- | ------- | | - 1GHz RISC-V(Linux)
- 700MHz RISCV-V(RTOS)
- 25~300MHz 8051(LowPower) | 1Tops@INT8 NPU, support BF16
support YOLOv5 YOLOv8 etc.| 256MB DDR3 | | Connecting | Peripheral | MultiMedia | Buy | | ----------- | ----- | --- | ---- | | USB2.0/WiFi6/BLE5.4 | IIC/PWM/SPI/UART/WDT/ADC | - 4M Camera
- 2.3" 552x368 Touchscreen
- H.264/H.265/MJPEG codec | [Sipeed Official Store](https://wiki.sipeed.com/store) | ## Who are using MaixPy? * **AI Algorithm Engineer** who want to deploy your AI model to embedded devices. > MaixPy provide easy-to-use API to access NPU, and docs to help you develop your AI model. * **STEM** teacher who wants to teach AI and embedded devices to students. > MaixPy provide easy-to-use API, PC tools, online AI train service ... Let you focus on teaching AI, not the hardware and complicated software usage. * **Maker** who want to make some cool projects but don't want to learn complicated hardware and software. > MaixPy provide Python API, so all you need is learn basic Python syntax, and MaixPy's API is so easy to use, you can make your project even in a few minutes. * **Engineer** who want to make some projects but want a prototype as soon as possible. > MaixPy is easy to build projects, and provide corresponding C++ SDK, so you can directly use MaixPy to deploy or transfer Python code to C++ in a few minutes. * **Students** who want to learn AI, embedded development. > We provide many docs and tutorials, and lot of open source code, to help you find learning route, and grow up step by step. From simple Python programming to `Vision`, `AI`, `Audio`, `Linux`, `RTOS` etc. * **Enterprise** who want to develop AI vision products but have no time or engineers to develop complicated embedded system. > Use MaixPy even graphic programming to develop your products with no more employees and time. For example, add a AI QA system to your production line, or add a AI security monitor to your office as your demand. * **Contestants** who want to win the competition. > MaixPy integrate many functions and easy to use, fasten your work to win the competition in limited time. There are already many contestants win the competition with MaixPy. ## Performance comparison K210 and v831 are outdated, they have many limitations in memory, performance, NPU operators missing etc.
No matter you are using them or new comer, it's recommended to upgrade to MaixCAM and MaixPy v4.
Here's the comparison between them: | Feature | Maix-I K210 | Maix-II v831 | MaixCAM | | ------- | ----------- | ------------ | ------- | | CPU | 400MHz RISC-V x2 | 800MHz ARM7 | **1GHz RISC-V(Linux)
700MHz RISC-V(RTOS)
25~300MHz 8051(Low Power)** | | Memory | 6MB SRAM | 64MB DDR2 | **256MB DDR3** | | NPU | 0.25Tops@INT8
official says 1T but... | 0.25Tops@INT8 | **1Tops@INT8** | | Encoder | ✖ | 1080p@30fps | **2K@30fps** | | Screen | 2.4" 320x240 | 1.3" 240x240 | **2.28" 552x368** / 5" 1280x720 / 7" 1280x800 / 10“ 1280x800| | TouchScreen | ✖ | ✖ | **2.3" 552x368** | | Camera | 30W | 200W | **500W** | | WiFi | 2.4G | 2.4G | **WiFi6** 2.4G/5G | | USB | ✖ | **USB2.0** | **USB2.0** | | Eth | ✖ | 100M(Optional) | 100M(Optional) | | SD Interface | SPI | **SDIO** | **SDIO** | | BLE | ✖ | ✖ | **BLE5.4** | | OS | RTOS | Tina Linux | **Linux + RTOS** | | Language | C / C++ / MicroPython | C / C++ / **Python3** | C / **C++ / Python3** | | Software | MaixPy | MaixPy3 | **MaixCDK + MaixPy v4 + opencv + numpy + ...**| | PC software | MaixPy IDE | MaixPy3 IDE | **MaixVision** Workstation | | Docs | ⭐️⭐️⭐️⭐️ | ⭐️⭐️⭐️ | 🌟🌟🌟🌟🌟 | | Online AI train | ⭐️⭐️⭐️ | ⭐️⭐️⭐️⭐️ | 🌟🌟🌟🌟🌟 | | Official APPs | ⭐️⭐️ | ⭐️⭐️⭐️ | 🌟🌟🌟🌟🌟 | | AI classify(224x224) | MobileNetv1 50fps
MobileNetv2 ✖
Resnet ✖ | MobileNet ✖
Resnet18 20fps
Resnet50 ✖| MobileNetv2 **130fps**
Resnet18 **62fps**
Resnet50 **28fps** | | AI detect(NPU forward part) | YOLOv2(224x224) 15fps | YOLOv2(224x224) 15fps | **YOLOv5s(224x224) 100fps
YOLOv5s(320x256) 70fps
YOLOv5s(640x640) 15fps
YOLOv8n(640x640) 23fps
YOLO11n(224x224)175fps
YOLO11n(320x224)120fps
YOLO11n(320x320)95fps
YOLO11n(640x640)23fps**| | Ease of use | ⭐️⭐️⭐️⭐️ | ⭐️⭐️⭐️ | 🌟🌟🌟🌟🌟 | ## Maix Ecosystem MaixPy not only a Python SDK, but have a whole ecosystem, including hardware, software, tools, docs, even cloud platform etc. See the picture below: ![](https://wiki.sipeed.com/maixpy/static/image/maix_ecosystem.png) ## What difference between MaixPy v1, MaixPy3 and MaixPy v4? * MaixPy v1 use MicroPython programming language, only support Sipeed Maix-I K210 series hardware, have limited third-party packages. * MaixPy3 is designed for Sipeed Maix-II-Dock v831, not a long-term support version. * MaixPy v4 use Python programming language, so there's much package we can use directly. MaixPy v4 support new hardware platforms of Sipeed, it's a long-term support version, the future's hardware platforms will support this version. MaixPy v4 have a MaixPy-v1 compatible API, so you can quickly migrate your MaixPy v1 project to MaixPy v4. (MaixPy v4 Will not support Maix-I K210 series, if you are using Maix-I K210 series, it's recommended to upgrade hardware platform to use this to get more features and better performance.) ## Compile Source Code If you want to compile MaixPy firmware from source code, refer to [Build MaixPy source code](https://wiki.sipeed.com/maixpy/doc/en/source_code/build.html) page. ## License All files in this repository are under the terms of the [Apache License 2.0 Sipeed Ltd.](./LICENSE) except the third-party libraries or have their own license. ## Community * Project sharing: [maixhub.com/share](https://maixhub.com/share) * App sharing: [maixhub.com/app](https://maixhub.com/app) * Discussion: [maixhub.com/discussion](https://maixhub.com/discussion) * QQ group: 862340358 * Telegram: [t.me/maixpy](https://t.me/maixpy) * Github issues: [github.com/sipeed/maixpy/issues](https://github.com/sipeed/maixpy/issues)