1qx5 发布的帖子

@kidswong999 反倒是扫到多个圆形以后他只会输出1

@kidswong999 阈值也没有问题，可以确定扫到的只有一个轮廓。

@kidswong999 只扫一个圆他会输出1-4个个数

@kidswong999 我现在用的就是这种方法可是他不准。

@kidswong999 在 自动增益为什么有时候会失效 中说：

你要把set_auto_gain放到reset下面，否则reset会重置所有的设置。
而且最好放到2s延迟后面。

sensor.reset()
sensor.set_pixformat(sensor.RGB565) # grayscale is faster
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)

@kidswong999 谢谢！

enable_lens_corr = False # turn on for straighter lines...

import sensor, image, time
sensor.set_auto_gain(False)
sensor.reset()
sensor.set_pixformat(sensor.RGB565) # grayscale is faster
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()

min_degree = 0
max_degree = 179

while(True):
clock.tick()
img = sensor.snapshot()
if enable_lens_corr: img.lens_corr(1.8) # for 2.8mm lens...

for l in img.find_lines(threshold = 1000, theta_margin = 30, rho_margin = 30):
    if (min_degree <= l.theta()) and (l.theta() <= max_degree):
        img.draw_line(l.line(), color = (255, 0, 0))
        print(l)


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

用的是这个函数sensor.set_auto_gain(False)

@kidswong999

import sensor, image, time

fuc_threshold_01 = (49, 100, 43, 120, -128, 22)
red_threshold_01 = (0, 100, -38, 127, 39, 127)
green_threshold_01 = (62, 75, -100, -18, -4, 127)
vio_threshold_01 = (0, 53, -128, 34, -128, -1)

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # use RGB565.
sensor.set_framesize(sensor.QQVGA) # use QVGA for quailtiy ,use QQVGA for speed.
sensor.skip_frames(10) # Let new settings take affect.
sensor.set_auto_whitebal(False)
#关闭白平衡。白平衡是默认开启的，在颜色识别中，需要关闭白平衡。
clock = time.clock() # Tracks FPS.
min_degree = 0
max_degree = 179
'''
扩宽roi
'''
def expand_roi(roi):
# set for QQVGA 160120
extra = 5
win_size = (160, 120)
(x, y, width, height) = roi
new_roi = [x-extra, y-extra, width+2extra, height+2*extra]

if new_roi[0] < 0:
    new_roi[0] = 0
if new_roi[1] < 0:
    new_roi[1] = 0
if new_roi[2] > win_size[0]:
    new_roi[2] = win_size[0]
if new_roi[3] > win_size[1]:
    new_roi[3] = win_size[1]

return tuple(new_roi)

while(True):
clock.tick() # Track elapsed milliseconds between snapshots().
img = sensor.snapshot() # Take a picture and return the image.
# pixels_threshold=100, area_threshold=100
blobs = img.find_blobs([red_threshold_01], area_threshold=150)
blobs2 = img.find_blobs([green_threshold_01], area_threshold=150)
blobs3 = img.find_blobs([fuc_threshold_01], area_threshold=150)
blobs4 = img.find_blobs([vio_threshold_01], area_threshold=150)

if blobs3:
#      print(blobs)
    for blob in blobs3:
#迭代找到的目标颜色区域
        is_circle = False
        max_circle = None
        max_radius = -1

        new_roi = expand_roi(blob.rect())
        
    for l in img.find_lines(threshold =2000, theta_margin = 1, rho_margin =1,roi=new_roi):
        if (min_degree <= l.theta()) and (l.theta() <= max_degree):
            img.draw_line(l.line(), color = (255, 255, 0))
         #   print(l)



print(clock.fps())

一会有一会没有，这是什么导致的啊

@1qx5 enable_lens_corr = False # turn on for straighter lines...

import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565) # grayscale is faster
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()

min_degree = 0
max_degree = 179

while(True):
clock.tick()
img = sensor.snapshot()
if enable_lens_corr: img.lens_corr(1.8) # for 2.8mm lens...

for l in img.find_lines(threshold = 1000, theta_margin = 30, rho_margin = 30):
    if (min_degree <= l.theta()) and (l.theta() <= max_degree):
        img.draw_line(l.line(), color = (255, 0, 0))
     




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

为什么霍夫变换查找直线检测不到到黄色直线？

@kidswong999 。。。感谢

@kidswong999

enable_lens_corr = False # turn on for straighter lines...

import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565) # grayscale is faster
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()

min_degree = 0
max_degree = 179

while(True):
    clock.tick()
    img = sensor.snapshot()
    if enable_lens_corr: img.lens_corr(1.8) # for 2.8mm lens...

    for l in img.find_lines(threshold = 1000, theta_margin = 30, rho_margin = 30):
        if (min_degree <= l.theta()) and (l.theta() <= max_degree):
            img.draw_line(l.line(), color = (255, 0, 0))
            print(l)
  
    jdc =0
    jdc1 =0
    jdc2 =0
    lines = img.find_lines()
    if len(lines) == 3:
       jd1 = lines[0].theta()
       jd2 = lines[1].theta()
       jd3 = lines[2].theta()
       
       jdc = jd1 - jd2 
       jdc1 = jd3 - jd2
       jdc2 = jd1 - jd3

    print(jdc)
    print(jdc1)
    print(jdc2)
    
    zj = 90
    pj = 180
    if jdc > zj:
 
    jdc = 180 - jdc   
    
    print(jdc)
    
    print("FPS %f" % clock.fps())

@kidswong999 错误提示是无效语法