IOPaint/inpaint/file_manager/utils.py

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new file: inpaint/__init__.py new file: inpaint/__main__.py new file: inpaint/api.py new file: inpaint/batch_processing.py new file: inpaint/benchmark.py new file: inpaint/cli.py new file: inpaint/const.py new file: inpaint/download.py new file: inpaint/file_manager/__init__.py new file: inpaint/file_manager/file_manager.py new file: inpaint/file_manager/storage_backends.py new file: inpaint/file_manager/utils.py new file: inpaint/helper.py new file: inpaint/installer.py new file: inpaint/model/__init__.py new file: inpaint/model/anytext/__init__.py new file: inpaint/model/anytext/anytext_model.py new file: inpaint/model/anytext/anytext_pipeline.py new file: inpaint/model/anytext/anytext_sd15.yaml new file: inpaint/model/anytext/cldm/__init__.py new file: inpaint/model/anytext/cldm/cldm.py new file: inpaint/model/anytext/cldm/ddim_hacked.py new file: inpaint/model/anytext/cldm/embedding_manager.py new file: inpaint/model/anytext/cldm/hack.py new file: inpaint/model/anytext/cldm/model.py new file: inpaint/model/anytext/cldm/recognizer.py new file: inpaint/model/anytext/ldm/__init__.py new file: inpaint/model/anytext/ldm/models/__init__.py new file: inpaint/model/anytext/ldm/models/autoencoder.py new file: inpaint/model/anytext/ldm/models/diffusion/__init__.py new file: inpaint/model/anytext/ldm/models/diffusion/ddim.py new file: inpaint/model/anytext/ldm/models/diffusion/ddpm.py new file: inpaint/model/anytext/ldm/models/diffusion/dpm_solver/__init__.py new file: inpaint/model/anytext/ldm/models/diffusion/dpm_solver/dpm_solver.py new file: inpaint/model/anytext/ldm/models/diffusion/dpm_solver/sampler.py new file: inpaint/model/anytext/ldm/models/diffusion/plms.py new file: inpaint/model/anytext/ldm/models/diffusion/sampling_util.py new file: inpaint/model/anytext/ldm/modules/__init__.py new file: inpaint/model/anytext/ldm/modules/attention.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/__init__.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/model.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/openaimodel.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/upscaling.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/util.py new file: inpaint/model/anytext/ldm/modules/distributions/__init__.py new file: inpaint/model/anytext/ldm/modules/distributions/distributions.py new file: inpaint/model/anytext/ldm/modules/ema.py new file: inpaint/model/anytext/ldm/modules/encoders/__init__.py new file: inpaint/model/anytext/ldm/modules/encoders/modules.py new file: inpaint/model/anytext/ldm/util.py new file: inpaint/model/anytext/main.py new file: inpaint/model/anytext/ocr_recog/RNN.py new file: inpaint/model/anytext/ocr_recog/RecCTCHead.py new file: inpaint/model/anytext/ocr_recog/RecModel.py new file: inpaint/model/anytext/ocr_recog/RecMv1_enhance.py new file: inpaint/model/anytext/ocr_recog/RecSVTR.py new file: inpaint/model/anytext/ocr_recog/__init__.py new file: inpaint/model/anytext/ocr_recog/common.py new file: inpaint/model/anytext/ocr_recog/en_dict.txt new file: inpaint/model/anytext/ocr_recog/ppocr_keys_v1.txt new file: inpaint/model/anytext/utils.py new file: inpaint/model/base.py new file: inpaint/model/brushnet/__init__.py new file: inpaint/model/brushnet/brushnet.py new file: inpaint/model/brushnet/brushnet_unet_forward.py new file: inpaint/model/brushnet/brushnet_wrapper.py new file: inpaint/model/brushnet/pipeline_brushnet.py new file: inpaint/model/brushnet/unet_2d_blocks.py new file: inpaint/model/controlnet.py new file: inpaint/model/ddim_sampler.py new file: inpaint/model/fcf.py new file: inpaint/model/helper/__init__.py new file: inpaint/model/helper/controlnet_preprocess.py new file: inpaint/model/helper/cpu_text_encoder.py new file: inpaint/model/helper/g_diffuser_bot.py new file: inpaint/model/instruct_pix2pix.py new file: inpaint/model/kandinsky.py new file: inpaint/model/lama.py new file: inpaint/model/ldm.py new file: inpaint/model/manga.py new file: inpaint/model/mat.py new file: inpaint/model/mi_gan.py new file: inpaint/model/opencv2.py new file: inpaint/model/original_sd_configs/__init__.py new file: inpaint/model/original_sd_configs/sd_xl_base.yaml new file: inpaint/model/original_sd_configs/sd_xl_refiner.yaml new file: inpaint/model/original_sd_configs/v1-inference.yaml new file: inpaint/model/original_sd_configs/v2-inference-v.yaml new file: inpaint/model/paint_by_example.py new file: inpaint/model/plms_sampler.py new file: inpaint/model/power_paint/__init__.py new file: inpaint/model/power_paint/pipeline_powerpaint.py new file: inpaint/model/power_paint/power_paint.py new file: inpaint/model/power_paint/power_paint_v2.py new file: inpaint/model/power_paint/powerpaint_tokenizer.py
2024-08-20 21:17:33 +02:00
# Copy from: https://github.com/silentsokolov/flask-thumbnails/blob/master/flask_thumbnails/utils.py
import hashlib
from pathlib import Path
from typing import Union
def generate_filename(directory: Path, original_filename, *options) -> str:
text = str(directory.absolute()) + original_filename
for v in options:
text += "%s" % v
md5_hash = hashlib.md5()
md5_hash.update(text.encode("utf-8"))
return md5_hash.hexdigest() + ".jpg"
def parse_size(size):
if isinstance(size, int):
# If the size parameter is a single number, assume square aspect.
return [size, size]
if isinstance(size, (tuple, list)):
if len(size) == 1:
# If single value tuple/list is provided, exand it to two elements
return size + type(size)(size)
return size
try:
thumbnail_size = [int(x) for x in size.lower().split("x", 1)]
except ValueError:
raise ValueError( # pylint: disable=raise-missing-from
"Bad thumbnail size format. Valid format is INTxINT."
)
if len(thumbnail_size) == 1:
# If the size parameter only contains a single integer, assume square aspect.
thumbnail_size.append(thumbnail_size[0])
return thumbnail_size
def aspect_to_string(size):
if isinstance(size, str):
return size
return "x".join(map(str, size))
IMG_SUFFIX = {".jpg", ".jpeg", ".png", ".JPG", ".JPEG", ".PNG"}
def glob_img(p: Union[Path, str], recursive: bool = False):
p = Path(p)
if p.is_file() and p.suffix in IMG_SUFFIX:
yield p
else:
if recursive:
files = Path(p).glob("**/*.*")
else:
files = Path(p).glob("*.*")
for it in files:
if it.suffix not in IMG_SUFFIX:
continue
yield it