# Filter by colour
# 0-10 hue
#minimum red amount, max red amount
min_red = np.array([0, 30, 30])
max_red = np.array([10, 100, 100])
#layer
mask1 = cv2.inRange(image_blur_hsv, min_red, max_red)

#birghtness of a color is hue
# 170-180 hue
min_red2 = np.array([170, 30, 30])
max_red2 = np.array([180, 100, 100])
mask2 = cv2.inRange(image_blur_hsv, min_red2, max_red2)

import cv2
import numpy as np
import pyfirmata
cap = cv2.VideoCapture(0)
port = pyfirmata.Arduino('COM6')
port.digital[13].write(0)
port.digital[12].write(0)
port.digital[11].write(0)




while True:
    _,frame = cap.read()
    hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    
    #kırmızı
    low_red = np.array([161, 100, 100])
    high_red `=` np.array([170, 255, 255])
    mask_red = cv2.inRange(hsv_frame, low_red, high_red)
    #yeşil
    low_green = np.array([38, 100, 100])
    high_green = np.array([75, 255, 255])
    mask_green = cv2.inRange(hsv_frame, low_yesil, high_yesil)
    #mavi
    low_blue = np.array([94, 80, 2])
    high_blue = np.array([126, 255, 255])
    mask_blue = cv2.inRange(hsv_frame, low_blue, high_blue)

    kernal = np.ones((5, 5), "uint8")

    #kırmızı
    mask_red = cv2.dilate(mask_red, kernal)
    res_red = cv2.bitwise_and(frame, frame, mask= mask_red)
    #yeşil
    mask_green = cv2.dilate(mask_green, kernal)
    res_green = cv2.bitwise_and(frame, frame, mask= mask_green)
    #mavi
    mask_blue = cv2.dilate(mask_blue, kernal)
    res_blue = cv2.bitwise_and(frame, frame, mask= mask_blue)



    contours = cv2.findContours(mask_blue,
                                           cv2.RETR_EXTERNAL,
                                           cv2.CHAIN_APPROX_SIMPLE)
    contours = contours[0] if len(contours) == 2 else contours[1]
    for contour in enumerate(contours):  
        area=cv2.contourArea(contour)
        if(area > 300):
            x, y,w, h = cv2.boundingRect(contour)
            frame = cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
            cv2.putText(frame, "blue", (x, y), cv2.Font_HERSHEY_SIMPLEX, 1.0, (0, 0,255), 1)
            port.digital[13].write(1)
        else:
            port.digital[13].write(0)



    contours, hierarchy= cv2.findContours(mask_green,
                                                    cv2.RETR_EXTERNAL,
                                                    cv2.CHAIN_APPROX_SIMPLE)
    contours = cnts.astype(np.uint32)
    for pic, contour in enumerate(contours):
        area = cv2.contourArea(contour)
        if(area > 300):
            x, y,w, h = cv2.boundingRect(contour)
            frame = cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
            cv2.putText(frame, "green", (x, y), cv2.Font_HERSHEY_SIMPLEX, 1.0, (0, 0,255), 1)

    cv2.imshow("Multiple Color Detection İn Real Time", frame)
    if cv2.waitKey(10) & 0xFF == ord('q'):
        cap.realse()
        cv2.destroyALLWindows()
        break
cv2.destroyALLWindows()