w6ta 发布的帖子

import sensor, image, time,math,pyb
from pyb import UART,LED
import jsonimport sensor, image, time,math,pyb
from pyb import UART,LED
import json
import ustruct

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
wine_red_threshold = (52, 27, 8, 127, -30, 25)  # 酒红色阈值示例
pomegranate_red_threshold = (0, 63, 41, 127, -128, 127) # 石榴红阈值示例
blue_threshold = (48, 64, -50, 2, -65, -15)             # 蓝色阈值
green_threshold = (92, 59, -75, -14, 2, 35)           # 绿色阈值
clock = time.clock()

uart = UART(3,19200)   #定义串口3变量
uart.init(19200, bits=8, parity=None, stop=1) # init with given parameters

def find_max(blobs):    #定义寻找色块面积最大的函数
    max_size=0
    for blob in blobs:
        if blob.pixels() > max_size:
            max_blob=blob
            max_size = blob.pixels()
    return max_blob


def sending_data(cx,cy,cw,ch):
    global uart;
    #frame=[0x2C,18,cx%0xff,int(cx/0xff),cy%0xff,int(cy/0xff),0x5B];
    #data = bytearray(frame)
    data = ustruct.pack("<bbhhhhb",      #格式为俩个字符俩个短整型(2字节)
                   0x2C,                      #帧头1
                   0x12,                      #帧头2
                   int(cx), # up sample by 4   #数据1
                   int(cy), # up sample by 4    #数据2
                   int(cw), # up sample by 4    #数据1
                   int(ch), # up sample by 4    #数据2
                   0x5B)
    uart.write(data);   #必须要传入一个字节数组
    # 主循环
    while(True):
        img = sensor.snapshot()

        # 检测酒红色并输出坐标
        blobs_wine_red = img.find_blobs([wine_red_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_wine_red:
            for blob in blobs_wine_red:
                rect = blob.rect()
                top_center_x = rect[0] + rect[2] // 2
                top_center_y = rect[1]
                print(f"Wine Red Top Center: ({top_center_x}, {top_center_y})")
        # 检测石榴红、蓝色和绿色并输出对应数字
        detected_colors = []

        # 检测石榴红
        blobs_pomegranate_red = img.find_blobs([pomegranate_red_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_pomegranate_red:
            detected_colors.append(3)

        # 检测蓝色
        blobs_blue = img.find_blobs([blue_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_blue:
            detected_colors.append(2)

        # 检测绿色
        blobs_green = img.find_blobs([green_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_green:
            detected_colors.append(1)

        # 输出检测到的颜色编号
        if detected_colors:
            print("Detected Colors (Numbers):", detected_colors)

        # 延迟以减少处理速度
        time.sleep_ms(10000)

import ustruct

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
wine_red_threshold = (52, 27, 8, 127, -30, 25)  # 酒红色阈值示例
pomegranate_red_threshold = (0, 63, 41, 127, -128, 127) # 石榴红阈值示例
blue_threshold = (48, 64, -50, 2, -65, -15)             # 蓝色阈值
green_threshold = (92, 59, -75, -14, 2, 35)           # 绿色阈值
clock = time.clock()

uart = UART(3,19200)   #定义串口3变量
uart.init(19200, bits=8, parity=None, stop=1) # init with given parameters

def find_max(blobs):    #定义寻找色块面积最大的函数
    max_size=0
    for blob in blobs:
        if blob.pixels() > max_size:
            max_blob=blob
            max_size = blob.pixels()
    return max_blob


def sending_data(cx,cy,cw,ch):
    global uart;
    #frame=[0x2C,18,cx%0xff,int(cx/0xff),cy%0xff,int(cy/0xff),0x5B];
    #data = bytearray(frame)
    data = ustruct.pack("<bbhhhhb",      #格式为俩个字符俩个短整型(2字节)
                   0x2C,                      #帧头1
                   0x12,                      #帧头2
                   int(cx), # up sample by 4   #数据1
                   int(cy), # up sample by 4    #数据2
                   int(cw), # up sample by 4    #数据1
                   int(ch), # up sample by 4    #数据2
                   0x5B)
    uart.write(data);   #必须要传入一个字节数组
    # 主循环 
    img = sensor.snapshot()
    while(True):
       

        # 检测酒红色并输出坐标
        blobs_wine_red = img.find_blobs([wine_red_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_wine_red:
            for blob in blobs_wine_red:
                rect = blob.rect()
                top_center_x = rect[0] + rect[2] // 2
                top_center_y = rect[1]
                print(f"Wine Red Top Center: ({top_center_x}, {top_center_y})")
        
        # 检测石榴红
        blobs_pomegranate_red = img.find_blobs([pomegranate_red_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_pomegranate_red:
            detected_colors.append(3)

        # 检测蓝色
        blobs_blue = img.find_blobs([blue_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_blue:
            detected_colors.append(2)

        # 检测绿色
        blobs_green = img.find_blobs([green_threshold], pixels_threshold=200, area_threshold=200)
        if blobs_green:
            detected_colors.append(1)

        # 输出检测到的颜色编号
        if detected_colors:
            print("Detected Colors (Numbers):", detected_colors)

        # 延迟以减少处理速度
        time.sleep_ms(10000)
        # 检测石榴红、蓝色和绿色并输出对应数字
        detected_colors = []