@1gvc

换了浏览器就这样

我在视频教程里看了好久，中文教程也翻，论坛也搜了好多，并没有什么实际帮助，我该怎么学习舵机控制啊，不用控制三个舵机，一个就够了

是这样，openmv2之前升级固件，最新的固件用不了，所以我联系淘宝客服，她建议我下载3.3左右的固件，我下载了很多次，都会在一半时候自动暂停，显示没有权限![0_1627955775685_2_[XYGK5VNZA]BU0U9I$N1.png](正在上传 100%)

@kidswong999 @kidswong999数据线是正常的，最开始用的时候，因为设备处理器不显示端口，所以买的线，可以连接了，这次是固件升级后突然不好使了，之前用是正常的

本来用的好好的，我升级固件之后，突然就不能用了，IDE连接很不稳定，插上USB口，无法正常开始运行代码，每次都显示忙碌中，几次点击开始小绿后，IDE自动登退，重新连接显示变砖，需要重新插USB口才好使
我该怎么办啊，眼泪落下来

运行的代码是最简单的主机代码：

Hello World Example
Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!
import sensor, image, time

sensor.reset() # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000) # Wait for settings take effect.
clock = time.clock() # Create a clock object to track the FPS.

while(True):
clock.tick() # Update the FPS clock.
img = sensor.snapshot() # Take a picture and return the image.
print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected
# to the IDE. The FPS should increase once disconnected.

本来用的好好的，我升级固件之后，突然就不能用了，IDE连接很不稳定，插上USB口，无法正常开始运行代码，每次都显示忙碌中，几次点击开始小绿后，IDE自动登退，重新连接显示变砖，需要重新插USB口才好使
我该怎么办啊，眼泪落下来

运行的代码是最简单的主机代码：

Hello World Example

Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!

import sensor, image, time

sensor.reset() # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000) # Wait for settings take effect.
clock = time.clock() # Create a clock object to track the FPS.

while(True):
clock.tick() # Update the FPS clock.
img = sensor.snapshot() # Take a picture and return the image.
print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected
# to the IDE. The FPS should increase once disconnected.

@kidswong999 用的是OPENMV2
固件是最新的
代码是官方的，见下

# 人眼追踪例程
#
# 该脚本使用内置的前脸检测器来查找脸部，然后查找脸部的眼睛。如果你想确定
# 眼睛的瞳孔，请参阅iris_detection脚本，了解如何做到这一点。

import sensor, time, image

#重置传感器
sensor.reset()

#传感器设置
sensor.set_contrast(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.HQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)

# 加载Haar算子
# 默认情况下，这将使用所有阶段，较低的阶段更快但不太准确。
face_cascade = image.HaarCascade("frontalface", stages=25)#人脸识别的haar算子
eyes_cascade = image.HaarCascade("eye", stages=24)#眼睛的haar算子
#image.HaarCascade(path, stages=Auto)加载一个haar模型。haar模型是二进制文件，
#这个模型如果是自定义的，则引号内为模型文件的路径；也可以使用内置的haar模型，
#比如“frontalface” 人脸模型或者“eye”人眼模型。
#stages值未传入时使用默认的stages。stages值设置的小一些可以加速匹配，但会降低准确率。
print(face_cascade, eyes_cascade)

# FPS clock
clock = time.clock()

while (True):
    clock.tick()

    # Capture snapshot
    #捕获快照
    img = sensor.snapshot()

    # Find a face !
    # Note: Lower scale factor scales-down the image more and detects smaller objects.
    # Higher threshold results in a higher detection rate, with more false positives.
    objects = img.find_features(face_cascade, threshold=0.5, scale=1.5)
    # 先利用haar算子找到视野中的人脸。image.find_features(cascade, threshold=0.5, scale=1.5),thresholds越大，
    # 匹配速度越快，错误率也会上升。scale可以缩放被匹配特征的大小。


    # Draw faces
    #将找到的人脸用矩形标记出来
    for face in objects:
        img.draw_rectangle(face)
        # Now find eyes within each face.
        # 现在找出每一张脸的眼睛。
        # Note: Use a higher threshold here (more detections) and lower scale (to find small objects)
        # 注意:这里使用更高的阈值(更多的检测)和更低的尺度(寻找小物体)
        eyes = img.find_features(eyes_cascade, threshold=0.5, scale=1.2, roi=face)
        #在人脸中识别眼睛。roi参数设置特征寻找的范围，roi=face即在找到的人脸中识别眼睛。
        #将找到的眼睛标记出来        
        for e in eyes:
            img.draw_rectangle(e)

    # 打印FPS。
    # 注意:实际FPS更高，流FB使它更慢。
    print(clock.fps())

@kidswong999 气愤，我改

@kidswong999 谢谢你，我OK了

@kidswong999 我升级固件了，现在是最新的版本，爱了爱了

@kidswong999 耶斯莫拉，谢谢你

@kidswong999 我不知道啊555，我搜论坛，没有查看固件的方法
麻烦了

@kidswong999 是OPENMV2

想用单片机输出指令，控制open mv开始颜色识别，我该怎么做呢

import time
from pyb import LED

for i in range(1,5): #i = 1，2，3，4
print("LED {0} blink!".format(i))
LED(i).on() #第i个LED亮
time.sleep_ms(500) #延时500ms
LED(i).off() #第i个LED灭
time.sleep_ms(500) #延时500ms

报错：AttributeError:'module'object has no attribute 'sleep_ms'

UART Control

This example shows how to use the serial port on your OpenMV Cam. Attach pin

P4 to the serial input of a serial LCD screen to see "Hello World!" printed

on the serial LCD display.

import time
from pyb import UART

Always pass UART 3 for the UART number for your OpenMV Cam.

The second argument is the UART baud rate. For a more advanced UART control

example see the BLE-Shield driver.

uart = UART(3, 19200)
import sensor, image, time, math

threshold_index = 0 # 0 for red, 1 for green, 2 for blue

Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)

The below thresholds track in general red/green/blue things. You may wish to tune them...

thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
(30, 100, -64, -8, -32, 32), # generic_green_thresholds
(0, 30, 0, 64, -128, 0)] # generic_blue_thresholds

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. "merge=True" merges all overlapping blobs in the image.

while(True):
clock.tick()
img = sensor.snapshot()
for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=200, area_threshold=200, merge=True):
# These values depend on the blob not being circular - otherwise they will be shaky.
if blob.elongation() > 0.5:
img.draw_edges(blob.min_corners(), color=(255,0,0))
img.draw_line(blob.major_axis_line(), color=(0,255,0))
img.draw_line(blob.minor_axis_line(), color=(0,0,255))
# These values are stable all the time.
img.draw_rectangle(blob.rect())
img.draw_cross(blob.cx(), blob.cy())
# Note - the blob rotation is unique to 0-180 only.
img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)
uart.write("1")
#print("none")

原本是有COM3 和COM5，突然就剩下COM5了，代码把串口改为5，会报错ValueError:UART(5)doesn't exist
串口助手显示如图

AprilTags Example

This example shows the power of the OpenMV Cam to detect April Tags

on the OpenMV Cam M7. The M4 versions cannot detect April Tags.

import sensor, image, time, math

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA) # we run out of memory if the resolution is much bigger...
sensor.skip_frames(30)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False) # must turn this off to prevent image washout...
clock = time.clock()

while(True):
clock.tick()
img = sensor.snapshot()
for tag in img.find_apriltags(): # defaults to TAG36H11 without "families".
img.draw_rectangle(tag.rect(), color = (255, 0, 0))
img.draw_cross(tag.cx(), tag.cy(), color = (0, 255, 0))
degress = 180 * tag.rotation() / math.pi
print(tag.id(),degress)

报错：
OSError:This function is unavailable on your OpenMV Cam

import sensor, image, time

from pid import PID
from pyb import Servo

pan_servo=Servo(1)
tilt_servo=Servo(2)

pan_servo.calibration(500,2500,500)
tilt_servo.calibration(500,2500,500)

red_threshold = (13, 49, 18, 61, 6, 47)

pan_pid = PID(p=0.07, i=0, imax=90) #脱机运行或者禁用图像传输，使用这个PID
tilt_pid = PID(p=0.05, i=0, imax=90) #脱机运行或者禁用图像传输，使用这个PID
#pan_pid = PID(p=0.1, i=0, imax=90)#在线调试使用这个PID
#tilt_pid = PID(p=0.1, i=0, imax=90)#在线调试使用这个PID

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # use RGB565.
sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
sensor.skip_frames(10) # Let new settings take affect.
sensor.set_auto_whitebal(False) # turn this off.
clock = time.clock() # Tracks FPS.

def find_max(blobs):
max_size=0
for blob in blobs:
if blob[2]*blob[3] > max_size:
max_blob=blob
max_size = blob[2]*blob[3]
return max_blob

while(True):
clock.tick() # Track elapsed milliseconds between snapshots().
img = sensor.snapshot() # Take a picture and return the image.

blobs = img.find_blobs([red_threshold])
if blobs:
    max_blob = find_max(blobs)
    pan_error = max_blob.cx()-img.width()/2
    tilt_error = max_blob.cy()-img.height()/2

    print("pan_error: ", pan_error)

    img.draw_rectangle(max_blob.rect()) # rect
    img.draw_cross(max_blob.cx(), max_blob.cy()) # cx, cy

    pan_output=pan_pid.get_pid(pan_error,1)/2
    tilt_output=tilt_pid.get_pid(tilt_error,1)
    print("pan_output",pan_output)
    pan_servo.angle(pan_servo.angle()+pan_output)
    tilt_servo.angle(tilt_servo.angle()-tilt_output)

IndentationError:unexpected indent
报错为：

舵机初学者，下载main.py文件，一应用就报错
麻烦了

回复: 在上面截屏保存到pc上 出现因为未知错误 无法保存图像文件