使用Mnist数字识别的时候报错为‘module' object has no attribute 'classify'

[dusn]

import sensor, image, time, os, tf

sensor.reset() # Reset and initialize the sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240)) # Set 240x240 window.
sensor.skip_frames(time=2000) # Let the camera adjust.

clock = time.clock()
while(True):
clock.tick()
img = sensor.snapshot().binary([(0,64)])
for obj in tf.classify("trained.tflite", img, min_scale=1.0, scale_mul=0.5, x_overlap=0.0, y_overlap=0.0):
output = obj.output()
number = output.index(max(output))
print(number)
print(clock.fps(), "fps")

[wq3n]

将openmv的固件版本按照https://singtown.com/learn/50903/的办法降级成v4.5.5即以前的版本即可

[dusn]

但是我现在用的就是v4.2.0，还是有这个问题要怎么办

[kidswong999]

更新为v4.5.5的固件