@kidswong999 在 如何在色块识别的框的范围内进行颜色替换？ 中说：

img.flood_fill要在你画线画框函数的上面。看我的代码。

搞定，谢谢

如图，热成像区域和实际显示的手部区域是镜像是反的
我想把热成像区域翻转一下

# MLX90621 Overlay Demo
#
# This example shows off how to overlay a heatmap onto your OpenMV Cam's
# live video output from the main camera.

import sensor, image, time, fir

ALT_OVERLAY = False # Set to True to allocate a second ir image.

sensor.reset()
sensor.set_hmirror(True)
sensor.set_vflip(True)
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)

# Initialize the thermal sensor
fir.init(type=fir.FIR_MLX90621)

# Allocate another frame buffer for smoother video.
extra_fb = sensor.alloc_extra_fb(sensor.width(), sensor.height(), sensor.RGB565)

# FPS clock
clock = time.clock()

while (True):
    clock.tick()

    # Capture an image
    img = sensor.snapshot()

    # Capture FIR data
    #   ta: Ambient temperature
    #   ir: Object temperatures (IR array)
    #   to_min: Minimum object temperature
    #   to_max: Maximum object temperature
    ta, ir, to_min, to_max = fir.read_ir()

    if not ALT_OVERLAY:
        # Scale the image and belnd it with the framebuffer
        fir.draw_ir(img, ir)
    else:
        # Create a secondary image and then blend into the frame buffer.
        extra_fb.clear()
        fir.draw_ir(extra_fb, ir, alpha=256)
        img.blend(extra_fb, alpha=128)

    # Draw ambient, min and max temperatures.
    #img.draw_string(8, 0, "Ta: %0.2f C" % ta, color = (255, 0, 0), mono_space = False)
    #img.draw_string(8, 8, "To min: %0.2f C" % to_min, color = (255, 0, 0), mono_space = False)
    #img.draw_string(8, 16, "To max: %0.2f C"% to_max, color = (255, 0, 0), mono_space = False)

    # Force high quality streaming...
    img.compress(quality=90)

    # Print FPS.
    print(clock.fps())

我想把测距模块返回的距离通过TXRX串口传给Arduino，可是报错Errno 19: ENODEV

from pyb import UART,Servo
from machine import I2C
from vl53l1x import VL53L1X
uart = UART(3, 9600, timeout_char=1000)
i2c=I2C(2)#初始化
juli=VL53L1X(i2c)
while(True):
        distance = int(juli.read()/10)#K/Lm
        uart.write(send_data)
        print(distance)

@kidswong999 在 如何在色块识别的框的范围内进行颜色替换？ 中说：

max_blob=find_max(blobs)
img.flood_fill(max_blob.cx(), max_blob.cy(), seed_threshold=0.2, floating_thresholds=1, color=(255, 255, 0), invert=False, clear_background=False)

这我也试过了，这样就只有中心点是一个黄色的点，我是想把整个红色瓶盖换成别的颜色

思路是先识别色块，然后在框内进行flood_fill的操作
我想完成图1的效果，但是经常出现图2图3的样子

我试过将flood_fill的(x,y)替换成色块识别的中心点，但是这样就没法填充了
以下是代码：

# 洪水填充
#
# 此示例显示图像中的洪水填充区域。
import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565) # or GRAYSCALE...
sensor.set_framesize(sensor.QVGA) # or QQVGA...
sensor.skip_frames(time = 2000)
sensor.set_auto_whitebal(False);


print("Learning thresholds...")
threshold = (58, 91, 20, 60, -15, 18)


def find_max(blobs):
    max_size=0
    for blob in blobs:
        if blob[2]*blob[3]>max_size:
            max_blob=blob
            max_size=blob[2]*blob[3]
    return max_blob

while(True):

    # seed_threshold controls the maximum allowed difference between
    # the initial pixel and any filled pixels. It's important to
    # set this such that flood fill doesn't fill the whole image.

    # floating_threshold controls the maximum allowed difference
    # between any two pixels. This can easily fill the whole image
    # with even a very low threshold.

    # flood_fill will fill pixels that both thresholds.

    # You can invert what gets filled with "invert" and clear
    # everything but the filled area with "clear_background".

    #从中心点开始寻找，(x,y)即为Initial pixel
    x = sensor.width()//2
    y = sensor.height()//2
    img = sensor.snapshot()#从摄像头snapshot图像
    blobs=img.find_blobs([threshold], pixels_threshold=100, area_threshold=100, merge=True, margin=10)
    if blobs:
        #寻找最大物体
        max_blob=find_max(blobs)
        #设定ROI范围为最大物体的框
        roi=img.draw_rectangle(max_blob.rect())
        #在框中心点画十字
        img.draw_cross(max_blob.cx(), max_blob.cy())
        #x=max_blob.cx()
        #y=max_blob.cy()
        #在ROI中进行填充
        roi.flood_fill(x, y, seed_threshold=0.2, floating_thresholds=1, color=(255, 255, 0), invert=False, clear_background=False)