wyfg 发布的帖子

噢噢噢噢，蟹蟹哈，一下考虑的太多，这么简单的反而忘掉了

如何进行这个色块是否检测到的判断啊

当我做openmv做多色块检测时，当检测到色块则返回他的中心坐标，当检测不到则返回0，关键是判断这个是否检测到色块啊

顶顶顶顶顶，顶上天

请问下openmv最大测距多少，我2.3米测一个直径0.5米的圆，误差特别大啊

蟹蟹啦，问题解决了

现在只能要么识别三个颜色所有的色块，要么只识别第一种颜色的最大模块，如何实现识别三个颜色最大的色块啊

# Multi Color Blob Tracking Example
#
# This example shows off multi color blob tracking using the OpenMV Cam.

import sensor, image, time,math
from pyb import UART
import json

# Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
# The below thresholds track in general red/green things. You may wish to tune them...
thresholds = [(0, 31, -53, 50, -91, 107), # generic_red_thresholds
              (30, 100, -64, -8, -32, 32), # generic_green_thresholds
              (0, 15, 0, 40, -80, -20)] # generic_blue_thresholds
# You may pass up to 16 thresholds above. However, it's not really possible to segment any
# scene with 16 thresholds before color thresholds start to overlap heavily.
X_relative_displacement=0
Y_relative_displacement=0

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
clock = time.clock()

# Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
# returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
# camera resolution. Don't set "merge=True" becuase that will merge blobs which we don't want here.

uart = UART(3,9600)
def find_max(blobs):
    max_size=0
    for blob in blobs:
        if blob.pixels() > max_size:
            max_blob=blob
            max_size = blob.pixels()
    return max_blob


while(True):
    clock.tick()
    img = sensor.snapshot()
    blobs = img.find_blobs(thresholds, pixels_threshold=10, area_threshold=10)
    if blobs:
        max_blob = find_max(blobs)
        img.draw_rectangle(max_blob.rect())
        img.draw_cross(max_blob.cx(), max_blob.cy())
        X_data = max_blob.cx()-img.width()/2
        Y_data = img.height()/2-max_blob.cy()
        if X_data >= 0:
            X_Sign = 0
        if X_data <= 0:
            X_Sign = 1
        if Y_data >= 0:
            Y_Sign = 0
        if Y_data <= 0:
            Y_Sign = 1
#        X_data = max_blob.cx()-40
#       Y_data = img.height()-max_blob.cy()
#        if X_data<0:
#            X_data=0
#        if X_data>255
#            X_data=255
        X_data=abs(X_data)
        Y_data=abs(Y_data)
        X_relative_displacement=int(X_data)
        Y_relative_displacement=int(Y_data)
        img_data = bytearray([0x2C,7,X_Sign,Y_Sign,X_relative_displacement,Y_relative_displacement,0x5B])
        uart.write(img_data)
        print(X_relative_displacement,Y_relative_displacement)