问题：TypeError:unsupported types for _and_:"float,int'该怎么解决？

[zgir]

我在写程序时遇到问题TypeError:unsupported types for and:"float,int'该怎么解决？
问题截图：

程序如下：

import sensor, image, time, pyb
import math

from pyb import UART
from pyb import LED

Led1 = pyb.LED(3) # 蓝灯
                  # Ps：pyb.LED(1):Red; pyb.LED(1):Green; pyb.LED(4):IR

enable_lens_corr = False # 使能畸变校正标志
                         # True: 允许畸变校正; False: 禁止畸变校正

# 指示灯
def LED_flicker():
    Led1.on()
    time.sleep(150)
    Led1.off()
    time.sleep(150)

# 处理数据
def ExceptionVar(var):
    data = []
    data.append(0)
    data.append(0)

    if var == -1:
        data[0] = 0
        data[1] = 0
    else:
        data[0] = var & 0xFF
        data[1] = var >> 8
    return data

# 识别圆 -- 返回圆心坐标及半径(3)
def Find_Circular(img):
    Formtype = 0xFF
    X = 0
    Y = 0
    R = 0

    enable_lens_corr = True

    if enable_lens_corr: img.lens_corr(1.8) # 适用于2.8mm镜头...

    for c in img.find_circles(threshold = 4000, x_margin = 10, y_margin = 10, r_margin = 10,r_min = 2, r_max = 100, r_step = 2):
        img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))
#        print(c.x())
        Circle_buffer = "[%d,%d,%d]"%(c.x(), c.y(), c.r())

        print(Circle_buffer)
        LED_flicker()

        X = c.x()
        Y = c.y()
        R = c.r()
        Formtype = 0

    return Formtype,X,Y,R

# 识别矩形 -- 返回矩形中心点坐标(2)
def Find_Rectangle(img):
    Formtype = 0xFF
    X = 0
    Y = 0
    W = 0
    H = 0

    for rects in img.find_rects():#roi=(0,0,80,120),threshold = 10000
        img.draw_rectangle(rects.rect(), color = (255, 0, 0))
        for p in rects.corners():
            img.draw_circle(p[0], p[1], 5, color = (0, 255, 0))

        print(rects)

        Formtype = 1
        X = rects.x() + rects.w()/2
        Y = rects.y() + rects.h()/2
#        W = rects.w()
        H = rects.h()
        rectBuffer = "[%d,%d]"%(X,Y)
        print(rectBuffer)

    return Formtype,X,Y,W

# 识别直线 -- 返回端点坐标及角度angle(3)
def Find_Lines(img):
    Formtype = 0xFF
    X = 0
    Y = 0
    Angle = 0

    min_degree = 0
    max_degree = 179

    if enable_lens_corr: img.lens_corr(1.8) # 适用于2.8mm镜头...

    for lines in img.find_lines(threshold = 1000, theta_margin = 25, rho_margin = 25):
        if (min_degree <= lines.theta()) and (lines.theta() <= max_degree):
            img.draw_line(lines.line(), color = (255, 0, 0))

            Formtype = 2
            X = lines.x1()
            Y = lines.y1()
            Angle = lines.theta()

    return Formtype,X,Y,Angle

# 识别线段 -- 返回端点坐标及角度angle(3)
def Find_LineSegment(img):
    Formtype = 0xFF
    X = 0
    Y = 0
    Angle = 0

    if enable_lens_corr: img.lens_corr(1.8) # for 2.8mm lens...

    for linesegment in img.find_line_segments(merge_distance = 0, max_theta_diff = 5):
        img.draw_line(linesegment.line(), color = (255, 0, 0))

        print(linesegment)

        Formtype = 3
        X = linesegment.x1()
        Y = linesegment.y1()
        Angle = linesegment.theta()

    return Formtype,X,Y,Angle

# 识别三角形
def Find_Triangle(img):

    pass

# 识别形状(圆,矩形,直线,线段,三角形(线段角度))
def Find_Formtype(img):

    pass

Frame_Cnt = 0
fCnt_tmp = [0,0]

# FormType : 所识别的形状 Ps: 0: Cricle      -> 圆心坐标 -> 半径
#                           1: Rectangle   -> 中心坐标 ->
#                           2: Lines       -> 端点坐标(靠近(0,0)) -> 角度
#                           3: LineSegment -> 端点坐标 -> 角度angle
# FormType_X,FormType_Y : 坐标
# FormType_Other : 其他
def UART_Send(FormType, FormType_X, FormType_Y, FormType_Other):
    global Frame_Cnt
    global fCnt_tmp
    Frame_Head = [170,170]
    Frame_End = [85,85]
    fFormType_tmp = [FormType]
    Frame_Cnt += 1

    if Frame_Cnt > 65534 :
        FrameCnt = 0

    fHead = bytes(Frame_Head)

    fCnt_tmp[0] = Frame_Cnt & 0xFF
    fCnt_tmp[1] = Frame_Cnt >> 8
    fCnt = bytes(fCnt_tmp)

    fFormType = bytes(fFormType_tmp)

    fFormType_X = bytes(ExceptionVar(FormType_X))
    fFormType_Y = bytes(ExceptionVar(FormType_Y))
    fFormType_Other = bytes(ExceptionVar(FormType_Other))

    fEnd = bytes(Frame_End)

    FrameBuffe = fHead + fCnt + fFormType + fFormType_X + fFormType_Y + fFormType_Other + fEnd

    return FrameBuffe


sensor.reset()

sensor.set_pixformat(sensor.RGB565) # grayscale is faster

sensor.set_framesize(sensor.QQVGA)

sensor.skip_frames(time = 2000)

clock = time.clock()
uart = UART(3, 115200)                         # i使用给定波特率初始化
# uart.init(115200, bits=8, parity=None, stop=1, timeout_char=1000) # 使用给定参数初始化

while(True):

    clock.tick()

    #lens_corr(1.8)畸变矫正
    img = sensor.snapshot()

#    (FormType,X,Y,R) = Find_Circular(img)
    (FormType,X,Y,W) = Find_Rectangle(img)
#    (FormType,X,Y,Angle) = Find_Lines(img)
#    (FormType,X,Y,Angle) = Find_LineSegment(img)

    if(FormType == 0):
        print(FormType,X,Y,R)
        uart.write(UART_Send(FormType,X,Y,R))
    elif(FormType == 1):
        print(FormType,X,Y,W)
        uart.write(UART_Send(FormType,X,Y,W))
    elif(FormType == 2):
        print(FormType,X,Y,Angle)
        uart.write(UART_Send(FormType,X,Y,Angle))
    elif(FormType == 3):
        print(FormType,X,Y,Angle)
        uart.write(UART_Send(FormType,X,Y,Angle))


    print("FPS %f" % clock.fps())

[kidswong999]

看上去你的var是一个浮点数，不是整数。

[zgir]

此回复已被删除！

[zgir]

@kidswong999 应该怎么解决？把浮点型改为整型？

[zgir]

@kidswong999 刚刚我测了一下，var是int型