openmv颜色识别与stm32串口通信代码

以下是一个基于OpenMV和STM32的颜色识别与串口通信的代码示例，你可以根据自己的需求进行修改：

OpenMV代码：

import sensor, image, time
from pyb import UART

# 初始化串口
uart = UART(3, 115200)

# 颜色阈值，可以根据实际情况进行调整
red_threshold = (30, 100, 15, 127, 15, 127)

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)

while(True):
    img = sensor.snapshot()
    # 寻找颜色区域
    blobs = img.find_blobs([red_threshold])
    if blobs:
        # 找到最大的颜色区域
        max_blob = max(blobs, key=lambda b: b.pixels())
        # 在颜色区域中心画十字线
        img.draw_cross(max_blob.cx(), max_blob.cy())
        # 发送数据到串口
        uart.write(str(max_blob.cx()) + ',' + str(max_blob.cy()) + '\r\n')

STM32代码：

#include "stm32f10x.h"
#include "stdio.h"

void USART1_Config(void);
void delay_ms(uint16_t ms);

int main(void)
{
    USART1_Config();

    while(1)
    {
        uint8_t buffer[50] = {0};
        uint8_t index = 0;
        uint8_t data;

        // 等待接收到换行符
        do
        {
            while(USART_GetFlagStatus(USART1, USART_FLAG_RXNE) == RESET);
            data = USART_ReceiveData(USART1);
            buffer[index++] = data;
        }while(data != '\n');

        // 解析数据
        uint16_t x, y;
        sscanf((const char*)buffer, "%hu,%hu", &x, &y);
        printf("x: %d, y: %d\r\n", x, y);

        delay_ms(100);
    }
}

void USART1_Config()
{
    USART_InitTypeDef USART_InitStructure;
    GPIO_InitTypeDef GPIO_InitStructure;

    RCC_APB2PeriphClockCmd(RCC_APB2Periph_GPIOA | RCC_APB2Periph_USART1, ENABLE);

    GPIO_InitStructure.GPIO_Pin = GPIO_Pin_9;
    GPIO_InitStructure.GPIO_Mode = GPIO_Mode_AF_PP;
    GPIO_InitStructure.GPIO_Speed = GPIO_Speed_50MHz;
    GPIO_Init(GPIOA, &GPIO_InitStructure);

    GPIO_InitStructure.GPIO_Pin = GPIO_Pin_10;
    GPIO_InitStructure.GPIO_Mode = GPIO_Mode_IN_FLOATING;
    GPIO_Init(GPIOA, &GPIO_InitStructure);

    USART_InitStructure.USART_BaudRate = 115200;
    USART_InitStructure.USART_WordLength = USART_WordLength_8b;
    USART_InitStructure.USART_StopBits = USART_StopBits_1;
    USART_InitStructure.USART_Parity = USART_Parity_No;
    USART_InitStructure.USART_HardwareFlowControl = USART_HardwareFlowControl_None;
    USART_InitStructure.USART_Mode = USART_Mode_Rx | USART_Mode_Tx;
    USART_Init(USART1, &USART_InitStructure);

    USART_Cmd(USART1, ENABLE);
}

void delay_ms(uint16_t ms)
{
    uint16_t i, j;
    for(i = 0; i < ms; i++)
    {
        for(j = 0; j < 1141; j++);
    }
}

在此示例中，OpenMV通过UART将识别到的颜色区域中心坐标发送给STM32，STM32通过串口接收数据并解析，最后打印在终端上，你可以根据自己的需要进行进一步的处理。