么西 发布的帖子

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

sensor.reset()
sensor.set_contrast(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)


templates = ["/ren.pgm", "/zhi.pgm", "/chu.pgm"]

clock = time.clock()

while (True):
    clock.tick()
    img = sensor.snapshot()

    for tem in templates:
        template = image.Image(tem)
        r = img.find_template(template, 0.70, step=4, search=SEARCH_EX)
        if r:
            img.draw_rectangle(r)
            print(tem)

    print(clock.fps())

求助大佬 谢谢

@yuan

@yuan

@yuan 所有都是，随便来个第一个

# cifar10例程
import sensor, image, time, os, nn

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_contrast(3)
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565
sensor.set_framesize(sensor.QVGA)      # Set frame size to QVGA (320x240)
sensor.set_windowing((128, 128))       # Set 128x128 window.
sensor.skip_frames(time=1000)
sensor.set_auto_gain(False)
sensor.set_auto_exposure(False)

# 加载cifar10网络。OpenMV3 M7上使用此网络可能会超出内存。
#net = nn.load('/cifar10.network')

# 更快，更小，更准确。建议OpenMV3 M7上使用此网络。
net = nn.load('/cifar10_fast.network')
labels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']

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.
    out = net.forward(img)
    max_idx = out.index(max(out))
    score = int(out[max_idx]*100)
    if (score < 70):
        score_str = "??:??%"
    else:
        score_str = "%s:%d%% "%(labels[max_idx], score)
    img.draw_string(0, 0, score_str, color=(255, 0, 0))

    print(clock.fps())             # Note: OpenMV Cam runs about half as fast when connected
                                   # to the IDE. The FPS should increase once disconnected.

```上次你就没解决 大佬

所有关于机器学习的案例都报这个错误
MemoryError:Out of normal MicroPython Heap Memory!Please reduce the resolution of the image you are running this algorithm on to bypass this issue!
我买的是假的吧

不知道怎么自己提取特征值，然后再怎么比对

@半瓶水 哪里 没看见源码

@yuan 万能的yuan 还是不行 我不可能刷会2.9.0版本吧 哎 好气啊

@yuan 额 刚开始使用find_number进行数字识别遇到了困难 你们说openmv3 不支持了 建议我用lenet.network......

@yuan 就是说我先改了分辨率 然后报value error：the selected Window is outside the bounds of the frame 然后我就又改了窗口大小 他又报最开始的那个错误 形成一个循环了

链接文本就是这上面的完整代码 但是运行错误 提示是：memory error：out of normal micropython heap memory！please reduce the resolution of the image you are running this algorithm on to bypass this issue！然后我就改了分辨率；有报错：value error：the selected Window is outside the bounds of the frame 我又改了大小 然后又回到了上面的第一个错误！

@yuan @kidswong999 回头试试 非常感谢

@kidswong999

import sensor, image, time

sensor.reset()                       
sensor.set_contrast(3)
sensor.set_pixformat(sensor.GRAYSCALE) 
sensor.set_framesize(sensor.VGA)        
sensor.set_windowing((128, 128))       
sensor.skip_frames(time = 2000)         
sensor.set_auto_gain(False)
sensor.set_auto_exposure(False)

while(True):
    img = sensor.snapshot()
    out = img.find_number(roi=(img.width()//2-14, img.height()//2-14, 28, 28))
    img.draw_rectangle((img.width()//2-15, img.height()//2-15, 30, 30))
    if out[1] > 5:
        print("Number: %d Confidence: %0.2f" %(out[0], out[1]))

我先直接用的源码测试都不行

@kidswong999 谢谢 不过我买的OpenMV3 R2 怎么回事啊

@yuan 我已经导入了image 但是提示么有find_number这个函数 我查阅手册是有这个函数的

attributeerror：'image' object has no attribute 'find_number'