Hi,
I tried to run cnn_1.py in the example list. But an error pop up ‘image’ object has no attribute ‘classify_object’. Could anyone help me? Thanks!
# CMSIS CNN example.
import sensor, image, time, os
sensor.reset() # Reset and initialize the sensor.
sensor.set_contrast(3)
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.set_windowing((200, 200)) # Set 128x128 window.
sensor.skip_frames(time = 100) # Wait for settings take effect.
sensor.set_auto_gain(False)
sensor.set_auto_exposure(False)
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().lens_corr(1.6) # Take a picture and return the image.
out = img.classify_object()
# print label_id:confidence
#for i in range(0, len(out)):
# print("%s:%d "%(labels[i], out[i]), end="")
max_idx = out.index(max(out))
print("%s : %0.2f%% "%(labels[max_idx], (out[max_idx]/128)*100))
#print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected
# to the IDE. The FPS should increase once disconnected.