| 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 |