# Hello World Example
#
# Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!

import sensor, image, time

sensor.reset()                      # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
#sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.HVGA)   # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000)     # Wait for settings take effect.
clock = time.clock()                # Create a clock object to track the FPS.


def init_kpts(str):
    temp_img = image.Image(f"./{str}.jpg", copy_to_fb=True)
    temp_img.to_grayscale()

    kpts = temp_img.find_keypoints(max_keypoints=128, threshold=kpts_threshold, corner_detector=kpts_corner, scale_factor=1.2)
    return kpts

def match_kpts(kpts0, kpts1):
    if kpts0 is not None and kpts1 is not None:

        match = image.match_descriptor(kpts0, kpts1, threshold=70)
        #print("matched:%d dt:%d"%(match.count(), match.theta()))

        if match.count() > 0:
            print(match.count())

        return match.count() > 1

    else:
        return 0

def read_red_sign(val, img, kpts):

    #img.draw_keypoints(kpts,255)

    if match_kpts(kpts, stop):
        img.draw_rectangle(val.rect())
        #img.draw_cross(match.cx(), match.cy(), size=10)
        print("stop")

    if match_kpts(kpts, speed):
        img.draw_rectangle(val.rect())
        print("speed")

    if match_kpts(kpts, car):
        img.draw_rectangle(val.rect())
        print("car")

#def read_red_sign(val, img, kpts):


kpts_threshold = 20
kpts_corner = image.CORNER_FAST

speed = init_kpts("speed")
stop = init_kpts("stop")
car = init_kpts("image")


while(True):
    clock.tick()                    # Update the FPS clock.
    img = sensor.snapshot()         # Take a picture and return the image.

    ######## Detect signs

    blobs_r = img.find_blobs([(0, 100, 25, 63, -128, 127)])
    blobs_b = img.find_blobs([(0, 29, 11, -128, -31, -5)])
    #print(f"old: { len(blobs_r) + len(blobs_b) }")

    blobs_r[:] = [b for b in blobs_r if (b.convexity() < 0.7 and b.area() > 64)]
    blobs_b[:] = [b for b in blobs_b if (b.convexity() < 0.7 and b.area() > 64)]
    #print(f"new: { len(blobs_r) + len(blobs_b) }")


    ######## Read signs
    img = img.to_grayscale()

    if(len(blobs_r) > 0 or len(blobs_b) > 0):

        kpts_img = img.find_keypoints(max_keypoints=255, threshold=kpts_threshold, corner_detector=kpts_corner)

        for index, b in enumerate(blobs_r):
            read_red_sign(b, img, kpts_img)

        for index, b in enumerate(blobs_b):
            read_blu_sign(b, img, kpts_img)


    # Note: OpenMV Cam runs about half as fast when connected
    # to the IDE. The FPS should increase once disconnected.
    #img = gr

    #print("EOC")