unihiker-k10-micropython（unihiker K10 micropython 测试）

Unihiker K10 - MicroPython

Overview

CLI toolkit for Unihiker K10 board MicroPython programming. Core principle: Follow reference docs exactly—no improvisation.

When to Use

• Uploading MicroPython code to K10
• Flashing MicroPython firmware
• Looking up K10 MicroPython APIs (screen, sensors, RGB, audio, AI)
• Port detection or connectivity issues

Commands

Coding

Basic Template

from unihiker_k10 import screen
screen.init(dir=2)
screen.draw_text(text="Hello", x=10, y=0, font_size=24, color=0xFF0000)
screen.show_draw()

Important:

• Auto-execution: Only main.py runs automatically on boot. Other filenames (e.g., test.py) must be imported or run via REPL
• Best practice: Name your entry file as main.py for auto-start
• Reference: references/micropython-api.md

Common Issues

开发经验教训

2025-03-22 实践总结

与Arduino模式的区别：

1. 固件互斥: K10不能同时运行Arduino和MicroPython固件，需要刷写对应固件
2. 入口文件: MicroPython只有main.py会自动运行，其他文件需要手动import
3. 工具链不同: Arduino使用arduino-cli，MicroPython使用mpremote

刷写MicroPython固件步骤：

1. 按住BOOT按钮
2. 按RST按钮重置
3. 释放BOOT按钮
4. 运行刷写命令
5. 等待完成(30-60秒)
6. 按RST重启

注意事项：

• V0.9.2固件中AI功能和WiFi不能同时使用，会导致内存溢出
• 首次刷写后建议先上传简单的main.py测试

Files

unihiker-k10-micropython/
├── SKILL.md                 # This file
└── references/            # MicroPython API docs
    └── micropython-api.md # MicroPython API reference

Manual usage without CLI:

# Upload MicroPython
bash path/to/unihiker-k10-micropython/scripts/upload-micropython.sh main.py /dev/cu.usbmodem2201

# Flash MicroPython firmware
bash path/to/unihiker-k10-micropython/scripts/flash-micropython.sh /dev/cu.usbmodem2201

MicroPython Code Execution

• Automatic execution: Files named main.py run automatically after upload and reset
• Manual execution: Other filenames require REPL interaction:

  # Connect to REPL
  mpremote connect /dev/cu.usbmodem2201 repl
  
  # Import and run your module
  >>> import test

File naming best practice:

your_project/
├── main.py          # Entry point - runs automatically on boot
├── test.py          # Test file - must be imported via REPL
└── heart.py         # Other files - import with `import heart`

Flashing MicroPython Firmware

Method 1: Manual (Recommended)

1. Hold BOOT button on K10
2. Press RST button on K10
3. Release BOOT button
4. Run: k10-micropython flash-mp or k10-micropython flash-mp --port /dev/cu.usbmodem2201
5. Wait for flash to complete (30-60 seconds)
6. Press RST button on K10 to restart
7. Upload Python code with k10-micropython upload-mp file.py

Method 2: Interactive

1. Run: k10-micropython flash-mp
2. Follow on-screen prompts
3. Hold BOOT button, connect USB, release BOOT

Quick Development Workflow

# 1. Create MicroPython script
echo "from unihiker_k10 import screen
screen.init(dir=2)
screen.draw_text(text='Hello K10', x=10, y=0, font_size=24, color=0xFFFFFF)
screen.show_draw()" > main.py

# 2. Upload as main.py for auto-run
k10-micropython upload-mp main.py

# 3. Or test as test.py and run via REPL
k10-micropython upload-mp test.py
mpremote connect /dev/cu.usbmodem2201 repl
>>> import test

Key Features

Screen:

• Screen initialization and direction control
• Text drawing with custom font size and color
• Shape drawing: lines, circles, rectangles, points
• Image display from TF card
• QR code generation and display

Sensors:

• Buttons A/B (callback and status check)
• Accelerometer (X, Y, Z axes)
• Temperature & humidity (AHT20)
• Light sensor (ALS)
• Microphone (recording to TF card)

RGB LED Control:

• Individual LED control (0, 1, 2)
• All LEDs control (-1)
• Brightness control (0-9)

Audio:

• Buzzer control (playTone)
• Microphone recording to TF card

AI Features (V0.9.2):

• Face Detection: Detect faces, show length, width, center coordinates
• Face Recognition: Enroll faces, recognize faces, display ID
• Cat Recognition: Detect and classify cats (with TF card images)
• Movement Detection: Motion detection with customizable threshold
• QR Code Scanning: Scan QR codes and display content
• Speech Recognition: Wake-up command and voice commands

Note on AI:

• AI functionality is resource-intensive in V0.9.2 firmware
• AI + WiFi conflict: Use only one at a time to avoid memory overflow

Example: Face Recognition with LED Feedback

import ai
from unihiker_k10 import screen, rgb, button
import time

def callback(data):
    if data == 1:
        screen.draw_text(text="录入中...", x=10, y=90, font_size=24, color=0xFFFF00)
    elif data >= 0:
        screen.draw_text(text=f"人脸ID: {data}", x=10, y=90, font_size=24, color=0x00FF00)
    screen.show_draw()

screen.init(dir=2)
screen.show_bg(color=0x000000)
screen.draw_text(text="A: 录入", x=10, y=50, font_size=18, color=0xFFFF00)
screen.draw_text(text="B: 删除全部", x=10, y=70, font_size=18, color=0xFF0000)
screen.draw_text(text="LED: 红色=未知", x=10, y=110, font_size=18, color=0xFF0000)
screen.draw_text(text="   绿色=已识别", x=10, y=130, font_size=18, color=0x00FF00)
screen.show_draw()

rgb.brightness(9)

ai.init_ai()
ai.camera_start()
ai.face_recognize_start()
ai.send_face_cmd(2)  # Recognition mode
ai.set_asr_callback(callback)

try:
    while True:
        image_data = ai.camera_capture()
        screen.show_camera_img(image_data)
        time.sleep_ms(1)
except KeyboardInterrupt:
    print("Exiting...")
    ai.deinit_ai()
    rgb.brightness(0)
    screen.clear()

Features:

• Face Enroll (A button): ai.send_face_cmd(1) - Green LED
• Face Recognition (automatic): Display ID, Green LED
• Unknown face: Red LED
• Delete all faces (B button): ai.send_face_cmd(3) - Clear stored faces
• Camera display: Show real-time camera feed on screen