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"""
Source url: https://github.com/OPHoperHPO/image-background-remove-tool
Author: Nikita Selin (OPHoperHPO)[https://github.com/OPHoperHPO].
License: Apache License 2.0
"""
import pathlib
from typing import Union, Any, Tuple
import PIL.Image
import numpy as np
import torch
ALLOWED_SUFFIXES = [".jpg", ".jpeg", ".bmp", ".png", ".webp"]
def to_tensor(x: Any) -> torch.Tensor:
"""
Returns a PIL.Image.Image as torch tensor without swap tensor dims.
Args:
x: PIL.Image.Image instance
Returns:
torch.Tensor instance
"""
return torch.tensor(np.array(x, copy=True))
def load_image(file: Union[str, pathlib.Path, PIL.Image.Image]) -> PIL.Image.Image:
"""Returns a PIL.Image.Image class by string path or pathlib path or PIL.Image.Image instance
Args:
file: File path or PIL.Image.Image instance
Returns:
PIL.Image.Image instance
Raises:
ValueError: If file not exists or file is directory or file isn't an image or file is not correct PIL Image
"""
if isinstance(file, str) and is_image_valid(pathlib.Path(file)):
return PIL.Image.open(file)
elif isinstance(file, PIL.Image.Image):
return file
elif isinstance(file, pathlib.Path) and is_image_valid(file):
return PIL.Image.open(str(file))
else:
raise ValueError("Unknown input file type")
def convert_image(image: PIL.Image.Image, mode="RGB") -> PIL.Image.Image:
"""Performs image conversion to correct color mode
Args:
image: PIL.Image.Image instance
mode: Colort Mode to convert
Returns:
PIL.Image.Image instance
Raises:
ValueError: If image hasn't convertable color mode, or it is too small
"""
if is_image_valid(image):
return image.convert(mode)
def is_image_valid(image: Union[pathlib.Path, PIL.Image.Image]) -> bool:
"""This function performs image validation.
Args:
image: Path to the image or PIL.Image.Image instance being checked.
Returns:
True if image is valid
Raises:
ValueError: If file not a valid image path or image hasn't convertable color mode, or it is too small
"""
if isinstance(image, pathlib.Path):
if not image.exists():
raise ValueError("File is not exists")
elif image.is_dir():
raise ValueError("File is a directory")
elif image.suffix.lower() not in ALLOWED_SUFFIXES:
raise ValueError(
f"Unsupported image format. Supported file formats: {', '.join(ALLOWED_SUFFIXES)}"
)
elif isinstance(image, PIL.Image.Image):
if not (image.size[0] > 32 and image.size[1] > 32):
raise ValueError("Image should be bigger then (32x32) pixels.")
elif image.mode not in ["RGB", "RGBA", "L"]:
raise ValueError("Wrong image color mode.")
else:
raise ValueError("Unknown input file type")
return True
def transparency_paste(
bg_img: PIL.Image.Image, fg_img: PIL.Image.Image, box=(0, 0)
) -> PIL.Image.Image:
"""
Inserts an image into another image while maintaining transparency.
Args:
bg_img: background image
fg_img: foreground image
box: place to paste
Returns:
Background image with pasted foreground image at point or in the specified box
"""
fg_img_trans = PIL.Image.new("RGBA", bg_img.size)
fg_img_trans.paste(fg_img, box, mask=fg_img)
new_img = PIL.Image.alpha_composite(bg_img, fg_img_trans)
return new_img
def add_margin(
pil_img: PIL.Image.Image,
top: int,
right: int,
bottom: int,
left: int,
color: Tuple[int, int, int, int],
) -> PIL.Image.Image:
"""
Adds margin to the image.
Args:
pil_img: Image that needed to add margin.
top: pixels count at top side
right: pixels count at right side
bottom: pixels count at bottom side
left: pixels count at left side
color: color of margin
Returns:
Image with margin.
"""
width, height = pil_img.size
new_width = width + right + left
new_height = height + top + bottom
# noinspection PyTypeChecker
result = PIL.Image.new(pil_img.mode, (new_width, new_height), color)
result.paste(pil_img, (left, top))
return result
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