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Vcamera #208

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@Oiuhvcccxxxxxxdfffffff

References: https://blog.socratesk.com/blog/2018/08/16/opencv-hsv-selector

- Modified HSV boundaries and rectangular box

import numpy as np
import cv2

cap = cv2.VideoCapture(0)

Specify HSV range of object

objectHSVLower = np.array([110, 45, 45])
objectHSVUpper = np.array([120, 255, 255])

while True:
# Read captured webcam frame
_, frame = cap.read()

    # Convert color frame into HSV
    hsv_img = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    mask = cv2.inRange(hsv_img, objectHSVLower, objectHSVUpper)

    # Find contours from HSV masked image
    contours, hierarchy = cv2.findContours(mask,cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)[-2:]
    areas = [cv2.contourArea(c) for c in contours]

# If there are countours
    if len(areas) > 0:
            max_index = np.argmax(areas)
            count = contours[max_index]
            x,y,w,h = cv2.boundingRect(count)
            cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0), 2)

# Display the resulting frame
    cv2.imshow('frame',frame)

    # If "q" is pressed on the keyboard, 
# exit this loop
    if cv2.waitKey(1) & 0xFF == ord('q'):
            break

cap.release()
cv2.destroyAllWindows()

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