gtf5 发布的帖子

例程讲解-09-linear_regression_fast 快速线性回归（巡线），返回的line.theta()的角度坐标轴是怎样的呢？是和水平线逆时针的角度吗

例程讲解25-Machine-Learning->nnn_haar_smile_detection
我想运行这个例程，但是‘’运行此例程前，请先在OpenMV IDE->工具->机器视觉->CNN网络库 中，将相应的神经网络文件保存到OpenMV的SD内存卡中哦‘’时，没找到相应的神经网络文件

#通过检测两直线是否相交判断十字路口
import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)

line_threshold = (30, 100)
noc = 0   #number of crossroad
while True:
    img = sensor.snapshot().binary([line_threshold])
    # 检测直线
    lines = img.find_lines(threshold = 1000, theta_margin = 25, rho_margin = 25)
    for line in lines:
        img.draw_line(line.line(), color=127)

    # 检测十字
    cross_detected = False
    for i in range(len(lines)):
        for j in range(i+1, len(lines)):
            if abs(lines[i].theta() - lines[j].theta()) < 30:
                continue
            intersection = lines[i].intersection(lines[j])
            if intersection:
                x, y = int(intersection.x()), int(intersection.y())
                img.draw_cross(x, y)
                cross_detected = True
                noc = noc+1
    # 输出是否检测到十字
    print("Cross detected: ", cross_detected)
    print(noc)

提示AttributeError: ‘line’ object has no attribute ‘intersection’
光标位置intersection = lines[i].intersection(lines[j])
openmv里有没有类似intersection()获取交叉点的方法呢

准确的说光标定位在img = sensor.snapshot().binary(line_threshold)的后面

为什么会提示TypeError: object ‘int’ isn’t a tuple or list
提示错误的时候光标定位在img = sensor.snapshot().binary(line_threshold)

import sensor, image

# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)

line_threshold = (30, 100)

while True:
    img = sensor.snapshot().binary(line_threshold)
    # 检测直线
    lines = img.find_lines(threshold = 1000, theta_margin = 25, rho_margin = 25)
    for line in lines:
        img.draw_line(line.line(), color=127)
        
    # 检测十字
    cross_detected = False
    for i in range(len(lines)):
        for j in range(i+1, len(lines)):
            if abs(lines[i].theta() - lines[j].theta()) < 30:
                continue
            intersection = lines[i].intersection(lines[j])
            if intersection:
                x, y = int(intersection.x()), int(intersection.y())
                img.draw_cross(x, y)
                cross_detected = True
    # 输出是否检测到十字
    print("Cross detected: ", cross_detected)

连接IDE时，不能使用USB VCP,那是需要脱机运行，额外连接usb线到电脑？