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daa13d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | from typing import List, Tuple
from einops import rearrange
import numpy as np, os, torch
from PIL import Image
from torchvision.utils import make_grid
import time
from modules.shared import opts
DEBUG_MODE = opts.data.get("deforum_debug_mode_enabled", False)
def get_output_folder(output_path, batch_folder):
out_path = os.path.join(output_path,time.strftime('%Y-%m'))
if batch_folder != "":
out_path = os.path.join(out_path, batch_folder)
os.makedirs(out_path, exist_ok=True)
return out_path
def save_image(image, image_type, filename, args, video_args, root):
if video_args.store_frames_in_ram:
root.frames_cache.append({'path':os.path.join(args.outdir, filename), 'image':image, 'image_type':image_type})
else:
image.save(os.path.join(args.outdir, filename))
import cv2, gc
def reset_frames_cache(root):
root.frames_cache = []
gc.collect()
def dump_frames_cache(root):
for image_cache in root.frames_cache:
if image_cache['image_type'] == 'cv2':
cv2.imwrite(image_cache['path'], image_cache['image'])
elif image_cache['image_type'] == 'PIL':
image_cache['image'].save(image_cache['path'])
# do not reset the cache since we're going to add frame erasing later function #TODO
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