# Midpoint Adaptive Threshold Filter Example
#
# This example shows off midpoint filtering with adaptive thresholding.
# When midpoint(threshold=True) the midpoint() method adaptive thresholds the image
# by comparing the midpoint of the pixels around a pixel, minus an offset, with that pixel.
import time, os, gc, sys

from media.sensor import *
from media.display import *
from media.media import *

DETECT_WIDTH = ALIGN_UP(320, 16)
DETECT_HEIGHT = 240

sensor = None

def camera_init():
    global sensor

    # construct a Sensor object with default configure
    sensor = Sensor(width=DETECT_WIDTH,height=DETECT_HEIGHT)
    # sensor reset
    sensor.reset()
    # set hmirror
    # sensor.set_hmirror(False)
    # sensor vflip
    # sensor.set_vflip(False)

    # set chn0 output size
    sensor.set_framesize(width=DETECT_WIDTH,height=DETECT_HEIGHT)
    # set chn0 output format
    sensor.set_pixformat(Sensor.RGB565)

    # use IDE as display output
    Display.init(Display.VIRT, width= DETECT_WIDTH, height = DETECT_HEIGHT,fps=60,to_ide = True)


    # sensor start run
    sensor.run()

def camera_deinit():
    global sensor

    # sensor stop run
    sensor.stop()
    # deinit display
    Display.deinit()
    # sleep
    os.exitpoint(os.EXITPOINT_ENABLE_SLEEP)
    time.sleep_ms(100)
    # release media buffer


def capture_picture():
    fps = time.clock()
    while True:
        fps.tick()
        try:
            os.exitpoint()
            global sensor
            img = sensor.snapshot()
            # The first argument is the kernel size. N coresponds to a ((N*2)+1)^2
            # kernel size. E.g. 1 == 3x3 kernel, 2 == 5x5 kernel, etc. Note: You
            # shouldn't ever need to use a value bigger than 2. The "bias" argument
            # lets you select between min and max blending. 0.5 == midpoint filter,
            # 0.0 == min filter, and 1.0 == max filter. Note that the min filter
            # makes images darker while the max filter makes images lighter.
            img.midpoint(1, bias=0.5, threshold=True, offset=5, invert=True)
            # draw result to screen
            Display.show_image(img)
            img = None
            gc.collect()
            print(fps.fps())
        except KeyboardInterrupt as e:
            print("user stop: ", e)
            break
        except BaseException as e:
            import sys
            sys.print_exception(e)
            break

def main():
    os.exitpoint(os.EXITPOINT_ENABLE)
    camera_is_init = False
    try:
        print("camera init")
        camera_init()
        camera_is_init = True
        print("camera capture")
        capture_picture()
    except Exception as e:
        import sys
        sys.print_exception(e)
    finally:
        if camera_is_init:
            print("camera deinit")
            camera_deinit()

if __name__ == "__main__":
    main()
