Magic_cloth.py

import cv2
import time
import numpy as np

cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
output = cv2.VideoWriter('Invisible_man.avi', fourcc, 30, (640, 480))
time.sleep(3);still_frame  = 0
for i in range(60):
    ret, still_frame  = cap.read()
still_frame  = np.flip(still_frame , axis=1)
while True:
    ret, img = cap.read()
    if ret == True:
        img = np.flip(img, axis=1)
        hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

        lower_blue = np.array([90, 50, 50])
        upper_blue = np.array([130, 255,255])
        mask1 = cv2.inRange(hsv, lower_blue, upper_blue)

        # lower_red = np.array([0, 120, 70])#If you are using red just use these lines see i have used 
        # upper_red = np.array([10, 255,255])#2 lower and upper limit as red is on both sides of zero
        # mask1 = cv2.inRange(hsv, lower_red, upper_red)
        # lower_red = np.array([170, 120, 70])
        # upper_red = np.array([180, 255, 255])
        # mask2 = cv2.inRange(hsv, lower_red, upper_red)
        # mask1 = mask1 + mask2

        mask1 = cv2.morphologyEx(mask1, cv2.MORPH_OPEN, np.ones((3, 3), np.uint8),iterations=2)
        mask1 = cv2.morphologyEx(mask1, cv2.MORPH_DILATE, np.ones((3, 3), np.uint8),iterations=2)
        mask2 = cv2.bitwise_not(mask1)

        result1 = cv2.bitwise_and(img, img, mask=mask2)
        result2 = cv2.bitwise_and(still_frame , still_frame , mask=mask1)
        finalOutput = cv2.addWeighted(result1, 1, result2, 1, 0)
        output.write(finalOutput)
        cv2.imshow("Invisible Man", finalOutput)
        if cv2.waitKey(1) & 0xFF == ord('a'):
            break
    else:
        break
cap.release()
out.release()
cv2.destroyAllWindows()
print("The video is saved")