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Home Forums Cody Bank Detection Of RGBColour by OpenCV with Python

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    • #537
      Sahil KumarSahil Kumar
      Moderator

      https://github.com/ghostman-ai/Detection-of-colour—OpenCV-with-Pyton.git

      “””
      @author: Sahil
      “””

      import cv2
      import numpy as np
      import datetime as dt

      # to open a camera
      img = cv2.VideoCapture(0)

      # start a loop where we get frames and we do the detection
      while True:
      ret, frame = img.read()
      #for putting date time in output
      font = cv2.FONT_HERSHEY_SIMPLEX
      date_time = str(dt.datetime.now())
      frame = cv2.putText(frame, date_time, (10, 50), font, 1, (255, 255, 0), 3, cv2.LINE_AA)
      hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

      # Inside a loop we define a HSV ranges, we create the mask. first define the hsv range of blue(high blue and low blue)

      high_blue = np.array([126, 255, 255])
      low_blue = np.array([94, 80, 2])
      blue_mask = cv2.inRange(hsv_frame, low_blue, high_blue)
      blue = cv2.bitwise_and(frame, frame, mask=blue_mask)

      # Similar for red

      high_red = np.array([179, 255, 255])
      low_red = np.array([161, 155, 84])
      red_mask = cv2.inRange(hsv_frame, high_red, low_red)
      red = cv2.bitwise_and(frame, frame, mask=red_mask)

      # Similar for green

      high_green = np.array([102, 255, 255])
      low_green = np.array([94, 80, 2])
      green_mask = cv2.inRange(hsv_frame, high_green, low_green)
      green = cv2.bitwise_and(frame, frame, mask=green_mask)

      # Every color except white

      low = np.array([0, 42, 0])
      high = np.array([179, 255, 255])
      mask = cv2.inRange(hsv_frame, low, high)
      result = cv2.bitwise_and(frame, frame, mask=mask)
      # showing the result

      cv2.imshow(“Frame”, frame)
      cv2.imshow(“Red”, red)
      cv2.imshow(“Blue”, blue)
      cv2.imshow(“Green”, green)
      cv2.imshow(“Result”, result)

      key = cv2.waitKey(1)
      if key == 27:
      break
      img.release()
      cv2.destroyAllWindows()

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