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Uploaded filtered 500k tagging train set.
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import os
import asyncio
import aiohttp
from PIL import Image
def validate_image(image_path, tags_path, width=None, height=None, convert_to_avif=False):
new_path = None
try:
with Image.open(image_path) as img:
save_kwargs = {}
if isinstance(width, int) and width > 0 and isinstance(height, int) and height > 0:
img = img.resize((width, height))
new_path = image_path
if convert_to_avif:
import pillow_avif
save_kwargs["quality"] = 50
new_path = os.path.splitext(image_path)[0] + ".avif"
if new_path is not None:
img.load()
img.save(new_path, **save_kwargs)
else:
img.verify()
if new_path is not None and os.path.isfile(new_path) and os.path.realpath(new_path) != os.path.realpath(image_path):
os.remove(image_path)
return True
except Exception as e:
print(f"Error validating image {image_path}: {e}")
try:
os.remove(image_path)
except Exception as e:
print("Error deleting image file:", e)
try:
os.remove(tags_path)
print(f"Deleted invalid image and tags files: {image_path}, {tags_path}")
except Exception as e:
print("Error deleting tags file:", e)
try:
if new_path is not None and os.path.isfile(new_path):
os.remove(new_path)
print("Deleted invalid new image file:", new_path)
except Exception as e:
print("Error deleting new image file:", e)
return False
async def submit_validation(thread_pool, image_path, tags_path, width=None, height=None, convert_to_avif=False):
return await asyncio.wrap_future(thread_pool.submit(validate_image, image_path, tags_path, width, height, convert_to_avif))
def get_image_id_image_tags_path_tuple_dict(image_dir):
if not os.path.isdir(image_dir):
raise FileNotFoundError(f"\"{image_dir}\" is not a directory!")
image_id_image_tags_path_tuple_dict = {}
for path in os.listdir(image_dir):
image_id, ext = os.path.splitext(path)
if ext == ".txt":
continue
path = os.path.join(image_dir, path)
if not os.path.isfile(path):
continue
tags_path = os.path.splitext(path)[0] + ".txt"
if not os.path.isfile(tags_path):
continue
image_id_image_tags_path_tuple_dict[image_id] = (path, tags_path)
return image_id_image_tags_path_tuple_dict
def get_existing_image_id_set(image_dir):
return set(get_image_id_image_tags_path_tuple_dict(image_dir))
def get_session(timeout=None, cookies=None):
kwargs = {"connector": aiohttp.TCPConnector(limit=0, ttl_dns_cache=600), "cookies": cookies}
if timeout is not None:
kwargs["timeout"] = aiohttp.ClientTimeout(total=timeout)
return aiohttp.ClientSession(**kwargs)
def get_model_tags(model_tags_path):
if not os.path.isfile(model_tags_path):
raise FileNotFoundError(f"\"{model_tags_path}\" is not a file, please place one there!")
index_tag_dict = {}
with open(model_tags_path, "r", encoding="utf8") as model_tags_file:
for line in model_tags_file:
line = line.split()
if len(line) != 2:
continue
index_tag_dict[int(line[0])] = line[1]
if len(index_tag_dict) <= 0:
return []
sorted_index_tag_tuple_list = sorted(index_tag_dict.items(), key=lambda x: x[0])
if len(sorted_index_tag_tuple_list) != sorted_index_tag_tuple_list[-1][0] + 1:
raise ValueError(f"The index specified in \"{model_tags_path}\" is not continuous!")
return [tag for _, tag in sorted_index_tag_tuple_list]
def get_tags_set(tags_path):
if not os.path.isfile(tags_path):
raise FileNotFoundError(f"\"{tags_path}\" is not a file!")
with open(tags_path, "r", encoding="utf8") as tags_file:
tags_text = tags_file.read()
tags_set = set()
for tag in tags_text.split(","):
tag = tag.strip()
if tag:
tag = tag.replace(" ", "_")
if tag == "nsfw": tag = "rating:explicit"
elif tag == "qfw": tag = "rating:questionable"
elif tag == "sfw": tag = "rating:safe"
tags_set.add(tag)
return tags_set