| 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 |
