Let's Sipeed up, Maximize AI's power!
MaixPy, makes AIOT easier!
There are many things you can do with MaixPy, please refer to here
- Image Recognition with hardware AI acceleration
- Dual core with FPU
- 8MB(6MB+2MB) RAM
- 16MB external Flash
- Max 800MHz CPU freq (see the dev board in detail, usually 400MHz)
- Microphone array(8 mics)
- Hardware AES SHA256
- FPIOA (Periphrals can map to any pins)
- Peripherals: I2C, SPI, I2S, WDT, TIMER, RTC, UART, GPIO etc.
Find I2C devices:
from machine import I2C i2c = I2C(I2C.I2C0, freq=100000, scl=28, sda=29) devices = i2c.scan() print(devices)
import sensor import image import lcd lcd.init() sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) sensor.run(1) while True: img=sensor.snapshot() lcd.display(img)
Use AI model to recognize object:
import KPU as kpu import sensor sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) sensor.set_windowing((224, 224)) model = kpu.load("/sd/mobilenet.kmodel") # load model while(True): img = sensor.snapshot() # take picture by camera out = kpu.forward(task, img)[:] # inference, get one-hot output print(max(out)) # print max probability object ID
please read doc before run it
See Releases page
Get latest commit firmware: master firmware
Doc refer to maixpy.sipeed.com
See build doc
The historic version see historic branch (No longer maintained, just keep commit history)
Go to maixhub.com to use online compilation to customize the functions you need
Find more models on Maixhub.com
See LICENSE file
In addition to the source code of the
MaixPy project, since
MaixPy exists as a component, it can be configured to not participate in compilation, so this repository can also be developed as
C SDK. For the usage details, see Building Documentation, which can be started by compiling and downloading
The compilation process is briefly as follows:
wget http://dl.cdn.sipeed.com/kendryte-toolchain-ubuntu-amd64-8.2.0-20190409.tar.xz sudo tar -Jxvf kendryte-toolchain-ubuntu-amd64-8.2.0-20190409.tar.xz -C /opt cd projects/hello_world python3 project.py menuconfig python3 project.py build python3 project.py flash -B dan -b 1500000 -p /dev/ttyUSB0 -t
：Code submit frequency
：React/respond to issue & PR etc.
：Well-balanced team members and collaboration
：Recent popularity of project
：Star counts, download counts etc.