diff --git a/scripts/examples/09-Feature-Detection/find_numbers.py b/scripts/examples/09-Feature-Detection/find_numbers.py deleted file mode 100644 index 3871d915f..000000000 --- a/scripts/examples/09-Feature-Detection/find_numbers.py +++ /dev/null @@ -1,20 +0,0 @@ -# LetNet Example -import sensor, image, time - -sensor.reset() # Reset and initialize the sensor. -sensor.set_contrast(3) -sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to RGB565 (or GRAYSCALE) -sensor.set_framesize(sensor.VGA) # Set frame size to QVGA (320x240) -sensor.set_windowing((128, 128)) # Set 128x128 window. -sensor.skip_frames(time = 2000) # Wait for settings take effect. -sensor.set_auto_gain(False) -sensor.set_auto_exposure(False) - -while(True): - img = sensor.snapshot() - # NOTE: Uncomment to detect dark numbers on white background - # img.invert() - out = img.find_number(roi=(img.width()//2-14, img.height()//2-14, 28, 28)) - img.draw_rectangle((img.width()//2-15, img.height()//2-15, 30, 30)) - if out[1] > 5: # Confidence level - print("Number: %d Confidence: %0.2f" %(out[0], out[1]))