超时是什么意思?

import time
from pyb import UART

UART 3, and baudrate.

uart = UART(3, 9600,timeout=1000)

while(True):
uart.write("Hello World!\n")

# Edge Impulse - OpenMV Image Classification Example

import sensor, image, time, os, tf,tv

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.SIF)      # Set frame size to QVGA (320x240)
#sensor.set_windowing((240, 240))       # Set 240x240 window.
#sensor.skip_frames(time=2000)          # Let the camera adjust.
tv.init(triple_buffer=False) # Initialize the tv.
tv.channel(8) # For wireless video transmitter shield
net = "trained.tflite"
labels = [line.rstrip('\n') for line in open("labels.txt")]

clock = time.clock()
while(True):
    clock.tick()

    img = sensor.snapshot()

    # default settings just do one detection... change them to search the image...
    for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
        print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
        img.draw_rectangle(obj.rect())
        # This combines the labels and confidence values into a list of tuples
        predictions_list = list(zip(labels, obj.output()))

        for i in range(len(predictions_list)):
            print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
    tv.display(img)
    print(clock.fps(), "fps")

就是有线图传显示屏显示的画面比帧缓冲区显示的画面慢几帧图像，主程序没写延时，就是程序比较多。例程里的程序主程序很简洁就不会滞后

为什么有线图传显示屏相比实时帧缓冲区滞后这么多？

分成很多类的话效果也不好，甚至也没合在一起的好，该怎么弄呢

@kidswong999 同一类训练的图片有很多不同的特征，训练的效果好吗

edge impulse训练神经网络进行分类，分类的标准是什么?是根据形状呢？颜色呢？还是什么?

@kidswong999 可以用特征点识别来识别数量吗

openmv能识别垃圾数量吗?