舵机需要额外供电。

OpenMV 的VIN引脚供电。
或者OpenMV 传感器扩展板的DC接口插入电池。

来自星瞳实验室APP: OpenMV传感器扩展板 https://singtown.com/product/49896/openmv-sensor-shield/

Untitled - By: xiaoji - 周六 2月 26 2022

#import sensor, image, time

from pyb import Servo
import time

s1 = Servo(1) # servo on position 1 (P7)

while(1):
s1.angle(45) # move to 45 degrees
time.sleep(600)
s1.angle(90)
time.sleep(600)

openmv4H7 set_windowing后报错

import sensor, image, time
from pyb import USB_VCP
usb = USB_VCP()
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.VGA)
sensor.skip_frames(time = 2000)
sensor.set_windowing((134,243,113,110))
clock = time.clock()
img = sensor.snapshot()
while(True):
	clock.tick()
	img = sensor.snapshot()

请问这是什么问题

import image, time, fir

drawing_hint = image.BICUBIC # or image.BILINEAR or 0 (nearest neighbor)

# Initialize the thermal sensor
fir.init()
w = fir.width()
h = fir.height()

if (fir.type() == fir.FIR_MLX90621):
    w = w * 10
    h = h * 10
elif (fir.type() == fir.FIR_MLX90640):
    w = w * 10
    h = h * 10
elif (fir.type() == fir.FIR_MLX90641):
    w = w * 10
    h = h * 10
elif (fir.type() == fir.FIR_AMG8833):
    w = w * 20
    h = h * 20

# FPS clock
clock = time.clock()

while (True):
    clock.tick()

    try:
        img = fir.snapshot(x_size=w, y_size=h,
                           color_palette=fir.PALETTE_IRONBOW, hint=drawing_hint,
                           copy_to_fb=True)
    except OSError:
        continue

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

为什么例程里这张图mlx90640调色是这样的
而我仿照编写的程序 为了放在摄像头图像上

import image, time, fir, sensor

drawing_hint = image.BILINEAR # or image.BILINEAR or 0 (nearest neighbor) or image.BICUBIC

# Initialize the thermal sensor
sensor.reset()
#初始化摄像头，reset()是sensor模块里面的函数

sensor.set_pixformat(sensor.RGB565)
#设置图像色彩格式，有RGB565色彩图和GRAYSCALE灰度图两种

sensor.set_framesize(sensor.QVGA)
#设置图像像素大小



sensor.skip_frames(time = 2000)
fir.init(type=fir.FIR_MLX90640, refresh=32)
w = fir.width()*10
h = fir.height()*10
ir_buffer =  fir.snapshot(x_size=w, y_size=h, pixformat=sensor.GRAYSCALE)

clock = time.clock()

while (True):
    clock.tick()
    img = sensor.snapshot()
    ta, ir, to_min, to_max = fir.read_ir()
    to_max=to_max/0.92
    fir.draw_ir(ir_buffer, ir, alpha=256, hint=drawing_hint)
    img.draw_image(ir_buffer, 0, 0, alpha=256,color_palette=fir.PALETTE_IRONBOW)

出来的图像调色是这样的

怎么才能变成上面那幅图的调色

# Template Matching Example - Normalized Cross Correlation (NCC)
#
# This example shows off how to use the NCC feature of your OpenMV Cam to match
# image patches to parts of an image... expect for extremely controlled enviorments
# NCC is not all to useful.
#
# WARNING: NCC supports needs to be reworked! As of right now this feature needs
# a lot of work to be made into somethin useful. This script will reamin to show
# that the functionality exists, but, in its current state is inadequate.

import time, sensor, image
from image import SEARCH_EX, SEARCH_DS

# Reset sensor
sensor.reset()

## Set sensor settings
#sensor.set_contrast(1)
#sensor.set_gainceiling(16)
## Max resolution for template matching with SEARCH_EX is QQVGA
#sensor.set_framesize(sensor.QQVGA)
## You can set windowing to reduce the search image.
##sensor.set_windowing(((640-80)//2, (480-60)//2, 80, 60))
#sensor.set_pixformat(sensor.GRAYSCALE)
sensor.reset()                      # Reset and initialize the sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)   # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000)     # Wait for settings take effect.

# Load template.
# Template should be a small (eg. 32x32 pixels) grayscale image.
template = image.Image("/666.pgm")

clock = time.clock()

# Run template matching
while (True):
    clock.tick()
    img = sensor.snapshot()

    # find_template(template, threshold, [roi, step, search])
    # ROI: The region of interest tuple (x, y, w, h).
    # Step: The loop step used (y+=step, x+=step) use a bigger step to make it faster.
    # Search is either image.SEARCH_EX for exhaustive search or image.SEARCH_DS for diamond search
    #
    # Note1: ROI has to be smaller than the image and bigger than the template.
    # Note2: In diamond search, step and ROI are both ignored.
    r = img.find_template(template, 10, step=4, search=SEARCH_EX)
    if r:
       img.draw_rectangle(r)
    print(clock.fps())

不能用3.3v供电。

最好供电方法:
VIN引脚供电3.7v-5v。
或者直接USB供电

如果没有电路知识，OpenMV插上传感器扩展板，DC接口插上5v电源。
https://singtown.com/product/49896/openmv-sensor-shield/

import sensor, image, time, math

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA) # can be QVGA on M7...
sensor.skip_frames(30)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
clock = time.clock()
while(True):
    img = sensor.snapshot()
#    img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
    for code in img.find_qrcodes():
        message=code.payload()
        print(message)
        print("FPS %f" % clock.fps())

这是第二个代码，刚刚忘了贴

 # Hello World Example
#
# Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!

import sensor, image, time, pyb

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)#160X120
sensor.skip_frames(time=100)
clock=time.clock()

while(True):
    
    
    s=sensor.snapshot()
  
    a=s.copy(copy_to_fb=True)
    
    a.to_grayscale()
    

或者，

sensor.set_pixformat(sensor.RGB565) #设置像素模式为彩色
sensor.skip_frames(time = 2000) 
img = sensor.snapshot() #截取当前图像，存放于变量img

每次设置后加一句

sensor.skip_frames(time = 2000) 

使图像跳过几帧，目的是使sensor的设置生效。

Untitled - By: Administrator - 周三 四月 11 2018

import sensor, image, time
sensor.reset()#初始化
sensor.set_pixformat(sensor.RGB565)#像素模式
sensor.set_framesize(sensor.QVGA)#图像大小
sensor.skip_frames(time=2000)

ROI=(23,79,244,47)

while(True):
img=sensor.snapshot()
statistics=img.get_statistics(roi=ROI)
color_l=statistics.l_mode()
color_a=statistics.a_mode()
color_b=statistics.b_mode()
print(color_l,color_a,color_b)
img.draw_rectangle(ROI,color=(255,0,0))
img.save("/n")