# 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.