数字识别准确率为什么这么低？急急急

[sp4u]

这是代码，识别打印的数字只有7的识别率高一点，其他的几乎都达不到70，求大佬管理员教我，很急

[kidswong999]

https://singtown.com/learn/50543/

根据视频操作。

我猜你的图像光线不好 ，请提供OpenMV的图像。

[4xdo]

确实这个正确率有点太低了，我也不知道为什么 我是openmvh7+无畸变镜头
代码为

# LetNet数字识别例程
import sensor, image, time, os, nn

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_contrast(1)
sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)      # Set frame size to QVGA (320x240)
sensor.set_windowing((100, 100))       # Set 128x128 window.
sensor.skip_frames(time=100)
sensor.set_auto_gain(0)
sensor.set_auto_exposure(0)

# Load lenet network
net = nn.load('/lenet.network')
labels = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']

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.copy().binary([(150, 255)], invert=True))
    max_idx = out.index(max(out))
    score = int(out[max_idx]*100)
    if (score < 65):
        score_str = "??:??%"
    else:
        score_str = "%s:%d%% "%(labels[max_idx], score)
    img.draw_string(0, 0, score_str,(0))

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

标准代码