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import os
import cv2
import gc
import numpy as np
from PIL import Image, ImageOps
from .video_audio_utilities import get_frame_name
from .load_images import load_image
def do_overlay_mask(args, anim_args, img, frame_idx, is_bgr_array=False):
if is_bgr_array:
img = cv2.cvtColor(img.astype(np.uint8), cv2.COLOR_BGR2RGB)
img = Image.fromarray(img)
if anim_args.use_mask_video:
current_mask = Image.open(os.path.join(args.outdir, 'maskframes', get_frame_name(anim_args.video_mask_path) + f"{frame_idx:09}.jpg"))
current_frame = Image.open(os.path.join(args.outdir, 'inputframes', get_frame_name(anim_args.video_init_path) + f"{frame_idx:09}.jpg"))
elif args.use_mask:
current_mask = args.mask_image if args.mask_image is not None else load_image(args.mask_file)
if args.init_image is None:
current_frame = img
else:
current_frame = load_image(args.init_image)
current_mask = current_mask.resize((args.W, args.H), Image.LANCZOS)
current_frame = current_frame.resize((args.W, args.H), Image.LANCZOS)
current_mask = ImageOps.grayscale(current_mask)
if args.invert_mask:
current_mask = ImageOps.invert(current_mask)
img = Image.composite(img, current_frame, current_mask)
if is_bgr_array:
img = np.array(img)
img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
del(current_mask, current_frame)
gc.collect()
return img |