[经验分享] 【2022得捷电子创新设计大赛】K210把图像传给迪文串口屏

lugl4313820 2022-7-8 22:06 楼主

我的设计是用迪文串口屏实现与K210的互动，实现人脸识别，今天拆腾一天，终于把图像稳定传输到迪文屏了：

【要点】迪文屏需要jpeg的文件流发送，网上搜了一天，最后还是在官方资料上面找到了：

最后的测试程序：

# Hello World Example
#
# Welcome to the MaixPy IDE!
# 1. Conenct board to computer
# 2. Select board at the top of MaixPy IDE: `tools->Select Board`
# 3. Click the connect buttion below to connect board
# 4. Click on the green run arrow button below to run the script!

import sensor, image, time, lcd
from machine import UART, Timer
from fpioa_manager import fm
fm.register(6,fm.fpioa.UART1_RX, force=True)
fm.register(7,fm.fpioa.UART1_TX, force=True)
import os
import gc, sys
import uio
line_len = 240
add_len = 120

# 数据头地址

# 数据地址

show = [[0x5A, 0xA5, 0x07, 0x82, 0x10, 0x11, 0x00, 0x50, 0x00, 0x70],
        [0x5A, 0xA5, 0x07, 0x82, 0x10, 0x51, 0x00, 0x50, 0x00, 0x70]]
hide = [[0x5A, 0xA5, 0x07, 0x82, 0x10, 0x11, 0x0A, 0x10, 0xA0, 0x70],
        [0x5A, 0xA5, 0x07, 0x82, 0x10, 0x51, 0x0A, 0x10, 0xA0, 0x70]]

foot = [[0x5A, 0xA5, 0x07, 0x82, 0x7F, 0xFE, 0x5A, 0xA5, 0x80, 0x00],
        [0x5A, 0xA5, 0x07, 0x82, 0xBF, 0xFE, 0x5A, 0xA5, 0xC0, 0x00]]

var_index = 0
count = 0
debug = 0
uart = UART(UART.UART1, 460800, read_buf_len=4096)
#uart.write('start...')
lcd.init(freq=15000000)

sensor.reset()                      # Reset and initialize the sensor. It will
                                    # run automatically, call sensor.run(0) to stop
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA)   # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000)     # Wait for settings take effect.
clock = time.clock()                # Create a clock object to track the FPS.
sensor.set_vflip(0)   #重直
sensor.set_hmirror(0)

def send_data(uart, str_hex_send):
    result = uart.write(str_hex_send)
    # time.sleep(0.01)

def send_img(img,var_index):
    img = img.compressed(quality=50)
    hex_data = img.to_bytes()
    len_hex = len(hex_data)
    if len_hex % line_len > 0:
        for i in range(0, line_len - len_hex % line_len):
            hex_data += b'\x00'
    len_hex = len(hex_data)
    send_data(uart, bytes(foot[var_index]))
    if var_index == 0:
        addr_data = 0x8000
        send_data(uart, bytes(hide[0]))
    else:
        addr_data = 0xC000
        send_data(uart, bytes(hide[1]))
    for i in range(0, len_hex // line_len):
        if debug:
            print("chunk %d:" % (i + 1), end="")
        str_hex = [0x5A, 0xA5, 0xF3, 0x82]
        addr_hexVal = addr_data + i * add_len
        addr_hexVal_l = addr_hexVal % 0x100
        addr_hexVal_h = addr_hexVal // 0x100
        str_hex.append(addr_hexVal_h)
        str_hex.append(addr_hexVal_l)
        str_hex_send = bytes(str_hex) + hex_data[(i * line_len):((i + 1) * line_len)]
        #print(str_hex_send)
        send_data(uart, str_hex_send)
        #time.sleep(0.3)
    if var_index == 0:
        send_data(uart, bytes(foot[0]))
        send_data(uart, bytes(show[0]))
        send_data(uart, bytes(hide[1]))
    else:
        send_data(uart, bytes(foot[1]))
        send_data(uart, bytes(show[1]))
        send_data(uart, bytes(hide[0]))







while(True):
    var_index = count % 2
    clock.tick()                    # Update the FPS clock.
    img = sensor.snapshot()         # Take a picture and return the image.
    lcd.display(img)                # Display on LCD
    send_img(img,var_index)
    print(clock.fps())              # Note: MaixPy's Cam runs about half as fast when connected
                                    # to the IDE. The FPS should increase once disconnected.
    if uart.any():
            read_data = uart.read()
            if read_data:
                uart.write(read_data)
                #print(read_data)
    count = count + 1

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