diff --git a/scripts/examples/09-Feature-Detection/cnn.py b/scripts/examples/09-Feature-Detection/cnn.py deleted file mode 100644 index 9679e3700..000000000 --- a/scripts/examples/09-Feature-Detection/cnn.py +++ /dev/null @@ -1,27 +0,0 @@ -# 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.