35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
from typing import List, Tuple
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from einops import rearrange
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import numpy as np, os, torch
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from PIL import Image
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from torchvision.utils import make_grid
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import time
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from modules.shared import opts
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def get_output_folder(output_path, batch_folder):
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out_path = os.path.join(output_path,time.strftime('%Y-%m'))
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if batch_folder != "":
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out_path = os.path.join(out_path, batch_folder)
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os.makedirs(out_path, exist_ok=True)
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return out_path
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def save_image(image, image_type, filename, args, video_args, root):
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if video_args.store_frames_in_ram:
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root.frames_cache.append({'path':os.path.join(args.outdir, filename), 'image':image, 'image_type':image_type})
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else:
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image.save(os.path.join(args.outdir, filename))
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import cv2, gc
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def reset_frames_cache(root):
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root.frames_cache = []
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gc.collect()
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def dump_frames_cache(root):
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for image_cache in root.frames_cache:
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if image_cache['image_type'] == 'cv2':
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cv2.imwrite(image_cache['path'], image_cache['image'])
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elif image_cache['image_type'] == 'PIL':
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image_cache['image'].save(image_cache['path'])
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# do not reset the cache since we're going to add frame erasing later function #TODO
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