compositing with scaled down mask

def run_case_eight(frame,new_bg,person_mask,overlay):
    frame = cv2.cvtColor(frame,cv2.COLOR_RGBA2RGB)
    new_bg = cv2.cvtColor(new_bg,cv2.COLOR_RGBA2RGB)

    # resizing for operation
    new_bg = cv2.resize(new_bg,(frame.shape[1],frame.shape[0]))

    target_width = 500
    target_height = int(target_width * frame.shape[1] / frame.shape[0])
    frame = cv2.resize(frame, (target_height,target_width), interpolation=cv2.INTER_AREA)

    person_mask = cv2.resize(person_mask,(frame.shape[1],frame.shape[0]))

    # Calculate offsets for centering on the background
    x_offset = int((new_bg.shape[1] - frame.shape[1]) / 2)
    y_offset = int((new_bg.shape[0] - frame.shape[0]) )

    # Create ROI in background for the frame
    roi = new_bg[y_offset:y_offset + frame.shape[0], x_offset:x_offset + frame.shape[1]]

   
    # blurring the mask for blending
    person_mask = cv2.bitwise_not(person_mask)
    cv2.imshow('person_mask_bitwise_not',person_mask)
    person_mask = manipulator.expand_mask(person_mask)
    cv2.imshow('person_mask_expand',person_mask)

    mask = cv2.blur(person_mask,(30,30))
    mask = cv2.normalize(mask, None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8U)
    maskf = (mask/255).astype(np.float64)
    maskf = cv2.merge([maskf,maskf,maskf])

    print(f'maskf:{maskf.shape}')
    print(f'frame:{frame.shape}')
    print(f'background:{new_bg.shape}')

     # Perform element-wise multiplication and update background ROI
    # blended_roi = (maskf * frame).astype(np.uint8)
    person_without_bg = (maskf * frame).astype(np.uint8)
    roi_with_person_cutout = ((1-maskf) * roi).astype(np.uint8)

    person_on_new_bg = person_without_bg + roi_with_person_cutout

    final = new_bg.copy()
    final[y_offset:y_offset + frame.shape[0], x_offset:x_offset + frame.shape[1]] = person_on_new_bg

    final = cv2.addWeighted(final,0.7,new_bg,0.3,0)

    cv2.imshow('roi',roi)   
    cv2.imshow('person_without_bg',person_without_bg)
    cv2.imshow('roi_with_person_cutout',roi_with_person_cutout)
    cv2.imshow('person_on_new_bg',person_on_new_bg)
    
    # bg_without_person = ((1-maskf) * new_bg).astype(np.uint8)


    cv2.imshow('maskf',maskf)
    cv2.imshow('mask',mask)
    cv2.imshow('new_bg',new_bg)

    return final