Creating a 'drift/morph/melt' effect on webcam footage using python and opencv-CodePudding

I am currently working on a school project where I am trying to simulate an LSD trip using a webcam and video processing effects. I am using python and opencv to accomplish this, but I am having trouble figuring out how to create/apply a certain effect that acts like a "drift/morph/melt/flow" to the webcam footage.

I have attached an example of the effect I am trying to achieve. It looks like the image is slowly melting and distorting, almost as if it is being pulled in multiple directions at once.

import numpy as np
import cv2
from PIL import Image
   
img = cv2.imread("bluecar_sm.jpg")

# get dimensions
h, w = img.shape[:2]

# set wavelength
wave_x = 2*w
wave_y = h

# set amount, number of frames and delay
amount_x = 10
amount_y = 5
num_frames = 100
delay = 50
border_color = (128,128,128)

# create X and Y ramps
x = np.arange(w, dtype=np.float32)
y = np.arange(h, dtype=np.float32)

frames = []
# loop and change phase
for i in range(0,num_frames):

    # compute phase to increment over 360 degree for number of frames specified so makes full cycle
    phase_x = i*360/num_frames
    phase_y = phase_x

    # create sinusoids in X and Y, add to ramps and tile out to fill to size of image
    x_sin = amount_x * np.sin(2 * np.pi * (x/wave_x   phase_x/360))   x
    map_x = np.tile(x_sin, (h,1))

    y_sin = amount_y * np.sin(2 * np.pi * (y/wave_y   phase_y/360))   y
    map_y = np.tile(y_sin, (w,1)).transpose()

    # do the warping using remap
    result = cv2.remap(img.copy(), map_x, map_y, cv2.INTER_CUBIC, borderMode = cv2.BORDER_CONSTANT, borderValue=border_color)
        
    # show result
    cv2.imshow('result', result)
    cv2.waitKey(delay)

    # convert to PIL format and save frames
    result = cv2.cvtColor(result, cv2.COLOR_BGR2RGB)
    pil_result = Image.fromarray(result)
    frames.append(pil_result)

# write animated gif from frames using PIL
frames[0].save('bluecar_sm_animation.gif',save_all=True, append_images=frames[1:], optimize=False, duration=delay, loop=0)