# Python code for Multiple Color Detection

import numpy as np

import cv2

# Capturing video through webcam

webcam = cv2.VideoCapture(0)

# Start a while loop

while(1):

# Reading the video from the

# webcam in image frames

_, imageFrame = webcam.read()

# Convert the imageFrame in

# BGR(RGB color space) to

# HSV(hue-saturation-value)

# color space

hsvFrame = cv2.cvtColor(imageFrame, cv2.COLOR_BGR2HSV)

# Set range for red color and

# define mask

red_lower = np.array([136, 87, 111], np.uint8)

red_upper = np.array([180, 255, 255], np.uint8)

red_mask = cv2.inRange(hsvFrame, red_lower, red_upper)

# Set range for green color and

# define mask

green_lower = np.array([25, 52, 72], np.uint8)

green_upper = np.array([102, 255, 255], np.uint8)

green_mask = cv2.inRange(hsvFrame, green_lower, green_upper)

# Set range for blue color and

# define mask

blue_lower = np.array([94, 80, 2], np.uint8)

blue_upper = np.array([120, 255, 255], np.uint8)

blue_mask = cv2.inRange(hsvFrame, blue_lower, blue_upper)

# Morphological Transform, Dilation

# for each color and bitwise_and operator

# between imageFrame and mask determines

# to detect only that particular color

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

# For red color

red_mask = cv2.dilate(red_mask, kernal)

res_red = cv2.bitwise_and(imageFrame, imageFrame,

mask = red_mask)

# For green color

green_mask = cv2.dilate(green_mask, kernal)

res_green = cv2.bitwise_and(imageFrame, imageFrame,

mask = green_mask)

# For blue color

blue_mask = cv2.dilate(blue_mask, kernal)

res_blue = cv2.bitwise_and(imageFrame, imageFrame,

mask = blue_mask)

# Creating contour to track red color

contours, hierarchy = cv2.findContours(red_mask,

cv2.RETR_TREE,

cv2.CHAIN_APPROX_SIMPLE)

for pic, contour in enumerate(contours):

area = cv2.contourArea(contour)

if(area > 300):

x, y, w, h = cv2.boundingRect(contour)

imageFrame = cv2.rectangle(imageFrame, (x, y),

(x + w, y + h),

(0, 0, 255), 2)

cv2.putText(imageFrame, "Red Colour", (x, y),

cv2.FONT_HERSHEY_SIMPLEX, 1.0,

(0, 0, 255))

# Creating contour to track green color

contours, hierarchy = cv2.findContours(green_mask,

cv2.RETR_TREE,

cv2.CHAIN_APPROX_SIMPLE)

for pic, contour in enumerate(contours):

area = cv2.contourArea(contour)

if(area > 300):

x, y, w, h = cv2.boundingRect(contour)

imageFrame = cv2.rectangle(imageFrame, (x, y),

(x + w, y + h),

(0, 255, 0), 2)

cv2.putText(imageFrame, "Green Colour", (x, y),

cv2.FONT_HERSHEY_SIMPLEX,

1.0, (0, 255, 0))

# Creating contour to track blue color

contours, hierarchy = cv2.findContours(blue_mask,

cv2.RETR_TREE,

cv2.CHAIN_APPROX_SIMPLE)

for pic, contour in enumerate(contours):

area = cv2.contourArea(contour)

if(area > 300):

x, y, w, h = cv2.boundingRect(contour)

imageFrame = cv2.rectangle(imageFrame, (x, y),

(x + w, y + h),

(255, 0, 0), 2)

cv2.putText(imageFrame, "Blue Colour", (x, y),

cv2.FONT_HERSHEY_SIMPLEX,

1.0, (255, 0, 0))

# Program Termination

cv2.imshow("Multiple Color Detection in Real-TIme", imageFrame)

if cv2.waitKey(10) & 0xFF == ord('q'):

cap.release()

cv2.destroyAllWindows()

break