# CIFAR10 Example import sensor, image, time, os, nn sensor.reset() # Reset and initialize the sensor. sensor.set_contrast(3) sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240) sensor.set_windowing((128, 128)) # Set 128x128 window. sensor.skip_frames(time=1000) sensor.set_auto_gain(False) sensor.set_auto_exposure(False) # Load cifar10 network net = nn.load('/cifar10.network') # Faster, smaller and less accurate. #net = nn.load('/cifar10_fast.network') 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() # Take a picture and return the image. out = net.forward(img) max_idx = out.index(max(out)) score = int(out[max_idx]*100) if (score < 70): score_str = "??:??%" else: score_str = "%s:%d%% "%(labels[max_idx], score) img.draw_string(0, 0, score_str, color=(255, 0, 0)) print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected # to the IDE. The FPS should increase once disconnected.