From 2510ddf1c7bc66cba09f3e7a44d396704fac0be1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexander=20Gr=C3=A9us?= Date: Thu, 23 Nov 2023 19:04:50 +0100 Subject: [PATCH 01/29] refactor: Changed image backend to pytorch tensors --- poetry.lock | 202 +++++- pyproject.toml | 7 + src/safeds/data/image/containers/__init__.py | 2 + src/safeds/data/image/containers/_image.py | 497 ++------------- .../data/image/containers/_image_pil.py | 527 ++++++++++++++++ src/safeds/data/tabular/containers/_column.py | 14 +- src/safeds/data/tabular/containers/_table.py | 32 +- .../data/image/containers/test_image.py | 582 ++++++++---------- .../data/image/containers/test_image_pil.py | 510 +++++++++++++++ .../containers/_column/test_plot_boxplot.py | 4 +- .../containers/_column/test_plot_histogram.py | 6 +- .../containers/_table/test_plot_boxplots.py | 4 +- .../_table/test_plot_correlation_heatmap.py | 4 +- .../containers/_table/test_plot_histograms.py | 4 +- .../containers/_table/test_plot_lineplot.py | 4 +- .../_table/test_plot_scatterplot.py | 4 +- 16 files changed, 1586 insertions(+), 817 deletions(-) create mode 100644 src/safeds/data/image/containers/_image_pil.py create mode 100644 tests/safeds/data/image/containers/test_image_pil.py diff --git a/poetry.lock b/poetry.lock index 524e22d09..afd9c9978 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. 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"sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"}, +] + [[package]] name = "tzdata" version = "2023.3" @@ -3714,4 +3912,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "d38fa4567e85b769faaeb702519e9394b31d525f0dc6ff2866385fe9fbb54c7e" +content-hash = "44e5c72099b0080a9e27817ea137d22c352eb182026e5427812651cd9aec2f9e" diff --git a/pyproject.toml b/pyproject.toml index 6346900af..c2317369e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,6 +23,8 @@ seaborn = "^0.12.2" openpyxl = "^3.1.2" scikit-image = ">=0.21,<0.23" levenshtein = ">=0.21.1,<0.24.0" +torch = {version = "~2.0.0", source = "torch_cuda118"} +torchvision = {version = "<0.16.0", source = "torch_cuda118"} [tool.poetry.group.dev.dependencies] pytest = "^7.2.1" @@ -42,6 +44,11 @@ mkdocs-section-index = "^0.3.5" mkdocs-jupyter = ">=0.23,<0.25" mkdocs-exclude = "^1.0.2" +[[tool.poetry.source]] +name = "torch_cuda118" +url = "https://download.pytorch.org/whl/cu118" +priority = "explicit" + [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/src/safeds/data/image/containers/__init__.py b/src/safeds/data/image/containers/__init__.py index b96e6c1e0..c390062b5 100644 --- a/src/safeds/data/image/containers/__init__.py +++ b/src/safeds/data/image/containers/__init__.py @@ -1,7 +1,9 @@ """Classes that can store image data.""" +from ._image_pil import ImagePil from ._image import Image __all__ = [ + "ImagePil", "Image", ] diff --git a/src/safeds/data/image/containers/_image.py b/src/safeds/data/image/containers/_image.py index c4a2cfd33..6ef897249 100644 --- a/src/safeds/data/image/containers/_image.py +++ b/src/safeds/data/image/containers/_image.py @@ -1,312 +1,72 @@ from __future__ import annotations -import copy -import io import warnings from pathlib import Path -from typing import Any, BinaryIO +from typing import Any -import numpy as np -import PIL -from PIL import ImageEnhance, ImageFilter, ImageOps -from PIL.Image import Image as PillowImage -from PIL.Image import open as open_image -from skimage.util import random_noise +from PIL.Image import open as pil_image_open +import torch +from torch import Tensor +from torch.types import Device +from torchvision.transforms.v2 import PILToTensor, functional as F2 +import torch.nn.functional as F -from safeds.data.image.typing import ImageFormat -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds.exceptions import OutOfBoundsError, ClosedBound class Image: - """ - A container for image data. - - Parameters - ---------- - data : BinaryIO - The image data as bytes. - """ - - @staticmethod - def from_jpeg_file(path: str | Path) -> Image: - """ - Create an image from a JPEG file. - - Parameters - ---------- - path : str | Path - The path to the JPEG file. - - Returns - ------- - image : Image - The image. - """ - return Image( - data=Path(path).open("rb"), - format_=ImageFormat.JPEG, - ) + _pil_to_tensor = PILToTensor() @staticmethod - def from_png_file(path: str | Path) -> Image: - """ - Create an image from a PNG file. - - Parameters - ---------- - path : str | Path - The path to the PNG file. - - Returns - ------- - image : Image - The image. - """ - return Image( - data=Path(path).open("rb"), - format_=ImageFormat.PNG, - ) - - def __init__(self, data: BinaryIO, format_: ImageFormat): - data.seek(0) - - self._image: PillowImage = open_image(data, formats=[format_.value]) - self._format: ImageFormat = format_ - - # ------------------------------------------------------------------------------------------------------------------ - # Properties - # ------------------------------------------------------------------------------------------------------------------ + def from_file(path: str | Path, device: Device): + return Image(image_tensor=Image._pil_to_tensor(pil_image_open(path)), device=device) - @property - def format(self) -> ImageFormat: - """ - Get the image format. - - Returns - ------- - format : ImageFormat - The image format. - """ - return self._format + def __init__(self, image_tensor: Tensor, device: Device) -> None: + self._image_tensor: Tensor = image_tensor.to(device) + # self._device = device @property def width(self) -> int: - """ - Get the width of the image in pixels. - - Returns - ------- - width : int - The width of the image. - """ - return self._image.width + return self._image_tensor.size(dim=2) @property def height(self) -> int: - """ - Get the height of the image in pixels. - - Returns - ------- - height : int - The height of the image. - """ - return self._image.height - - # ------------------------------------------------------------------------------------------------------------------ - # Conversion - # ------------------------------------------------------------------------------------------------------------------ + return self._image_tensor.size(dim=1) - def to_jpeg_file(self, path: str | Path) -> None: - """ - Save the image as a JPEG file. - - Parameters - ---------- - path : str | Path - The path to the JPEG file. - """ - Path(path).parent.mkdir(parents=True, exist_ok=True) - self._image.save(path, format="jpeg") - - def to_png_file(self, path: str | Path) -> None: - """ - Save the image as a PNG file. + @property + def device(self) -> Device: + return self._image_tensor.device - Parameters - ---------- - path : str | Path - The path to the PNG file. - """ - Path(path).parent.mkdir(parents=True, exist_ok=True) - self._image.save(path, format="png") + def set_device(self, device: Device) -> Image: + return Image(self._image_tensor, device) - # ------------------------------------------------------------------------------------------------------------------ - # IPython integration - # ------------------------------------------------------------------------------------------------------------------ + # def to_file(self, path: str | Path, file_format: str): + # torchvision.utils.save_image(self._image_tensor, path, file_format) def __eq__(self, other: Any) -> bool: - """ - Compare two images. - - Parameters - ---------- - other: The image to compare to. - - Returns - ------- - equals : bool - Whether the two images contain equal pixel data. - - """ if not isinstance(other, Image): return NotImplemented - return self._image.tobytes() == other._image.tobytes() - - def _repr_jpeg_(self) -> bytes | None: - """ - Return a JPEG image as bytes. - - If the image is not a JPEG, return None. - - Returns - ------- - jpeg : bytes | None - The image as JPEG. - """ - if self._format != ImageFormat.JPEG: - return None - - buffer = io.BytesIO() - self._image.save(buffer, format="jpeg") - buffer.seek(0) - return buffer.read() - - def _repr_png_(self) -> bytes | None: - """ - Return a PNG image as bytes. - - If the image is not a PNG, return None. - - Returns - ------- - png : bytes | None - The image as PNG. - """ - if self._format != ImageFormat.PNG: - return None - - buffer = io.BytesIO() - self._image.save(buffer, format="png") - buffer.seek(0) - return buffer.read() - - # ------------------------------------------------------------------------------------------------------------------ - # Transformations - # ------------------------------------------------------------------------------------------------------------------ + return torch.all(torch.eq(self._image_tensor, other.set_device( + self.device)._image_tensor)).item() and self._image_tensor.size() == other._image_tensor.size() def resize(self, new_width: int, new_height: int) -> Image: - """ - Return a new `Image` that has been resized to a given size. - - The original image is not modified. - - Returns - ------- - result : Image - The image with the given width and height. - """ - image_copy = copy.deepcopy(self) - image_copy._image = image_copy._image.resize((new_width, new_height)) - return image_copy + return Image(F.interpolate(self._image_tensor.unsqueeze(dim=1), size=(new_height, new_width)).squeeze(dim=1), + device=self._image_tensor.device) def convert_to_grayscale(self) -> Image: - """ - Return a new `Image` that is converted to grayscale. - - The original image is not modified. - - Returns - ------- - result : Image - The grayscale image. - """ - image_copy = copy.deepcopy(self) - image_copy._image = image_copy._image.convert("L") - return image_copy + return Image(F2.rgb_to_grayscale(self._image_tensor[0:3], num_output_channels=3), device=self.device) def crop(self, x: int, y: int, width: int, height: int) -> Image: - """ - Return a new `Image` that has been cropped to a given bounding rectangle. - - The original image is not modified. - - Parameters - ---------- - x: the x coordinate of the top-left corner of the bounding rectangle - y: the y coordinate of the top-left corner of the bounding rectangle - width: the width of the bounding rectangle - height: the height of the bounding rectangle - - Returns - ------- - result : Image - The cropped image. - """ - image_copy = copy.deepcopy(self) - image_copy._image = image_copy._image.crop((x, y, (x + width), (y + height))) - return image_copy + return Image(F2.crop(self._image_tensor, x, y, height, width), device=self.device) def flip_vertically(self) -> Image: - """ - Return a new `Image` that is flipped vertically (horizontal axis, flips up-down and vice versa). - - The original image is not modified. - - Returns - ------- - result : Image - The flipped image. - """ - image_copy = copy.deepcopy(self) - image_copy._image = self._image.transpose(PIL.Image.FLIP_TOP_BOTTOM) - return image_copy + return Image(F2.vertical_flip(self._image_tensor), device=self.device) def flip_horizontally(self) -> Image: - """ - Return a new `Ìmage` that is flipped horizontally (vertical axis, flips left-right and vice versa). - - The original image is not modified. - - Returns - ------- - result : Image - The flipped image. - """ - image_copy = copy.deepcopy(self) - image_copy._image = self._image.transpose(PIL.Image.FLIP_LEFT_RIGHT) - return image_copy + return Image(F2.horizontal_flip(self._image_tensor), device=self.device) def adjust_brightness(self, factor: float) -> Image: - """ - Return a new `Image` with an adjusted brightness. - - The original image is not modified. - - Parameters - ---------- - factor: float - The brightness factor. - 1.0 will not change the brightness. - Below 1.0 will result in a darker image. - Above 1.0 will resolut in a brighter image. - Has to be bigger than or equal to 0 (black). - - Returns - ------- - result: Image - The Image with adjusted brightness. - """ + print(factor) if factor < 0: raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) elif factor == 1: @@ -315,69 +75,16 @@ def adjust_brightness(self, factor: float) -> Image: UserWarning, stacklevel=2, ) - - image_copy = copy.deepcopy(self) - image_copy._image = ImageEnhance.Brightness(image_copy._image).enhance(factor) - return image_copy + return Image(F2.adjust_brightness(self._image_tensor, factor * 1.0), device=self.device) def add_gaussian_noise(self, standard_deviation: float) -> Image: - """ - Return a new `Image` with Gaussian noise added to the image. - - The original image is not modified. - - Parameters - ---------- - standard_deviation : float - The standard deviation of the Gaussian distribution. Has to be bigger than or equal to 0. - - Returns - ------- - result : Image - The image with added Gaussian noise. - - Raises - ------ - OutOfBoundsError - If standard_deviation is smaller than 0. - """ + # TODO: Different noise if standard_deviation < 0: raise OutOfBoundsError(standard_deviation, name="standard_deviation", lower_bound=ClosedBound(0)) - - # noinspection PyTypeChecker - image_as_array = np.asarray(self._image) - noisy_image_as_array = random_noise( - image_as_array, - mode="gaussian", - var=standard_deviation**2, - rng=42, - clip=True, - ) - noisy_image = PIL.Image.fromarray(np.uint8(255 * noisy_image_as_array)) - - image_copy = copy.deepcopy(self) - image_copy._image = noisy_image - return image_copy + return Image(self._image_tensor + torch.normal(0, 1, self._image_tensor.size()).to(self.device) * 255, + device=self.device) def adjust_contrast(self, factor: float) -> Image: - """ - Return a new `Image` with adjusted contrast. - - The original image is not modified. - - Parameters - ---------- - factor: float - If factor > 1, increase contrast of image. - If factor = 1, no changes will be made. - If factor < 1, make image greyer. - Has to be bigger than or equal to 0 (gray). - - Returns - ------- - image: Image - New image with adjusted contrast. - """ if factor < 0: raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) elif factor == 1: @@ -386,142 +93,34 @@ def adjust_contrast(self, factor: float) -> Image: UserWarning, stacklevel=2, ) - - image_copy = copy.deepcopy(self) - image_copy._image = ImageEnhance.Contrast(image_copy._image).enhance(factor) - return image_copy + return Image(F2.adjust_contrast(self._image_tensor, factor * 1.0), device=self.device) def adjust_color_balance(self, factor: float) -> Image: - """ - Return a new `Image` with adjusted color balance. - - The original image is not modified. + pass - Parameters - ---------- - factor: float - If factor > 1, increase color balance of image. - If factor = 1, no changes will be made. - If factor < 1, make image greyer. - Has to be bigger than or equal to 0. + def blur(self, radius: int) -> Image: + # TODO: Different blur + return Image(F2.gaussian_blur(self._image_tensor, [radius * 2 + 1, radius * 2 + 1]), device=self.device) - Returns - ------- - image: Image - The new, adjusted image. - """ + def sharpen(self, factor: float) -> Image: if factor < 0: raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) elif factor == 1: warnings.warn( - "Color adjustment factor is 1.0, this will not make changes to the image.", + "Sharpen factor is 1.0, this will not make changes to the image.", UserWarning, stacklevel=2, ) - - image_copy = copy.deepcopy(self) - image_copy._image = ImageEnhance.Color(image_copy._image).enhance(factor) - return image_copy - - def blur(self, radius: int) -> Image: - """ - Return a blurred version of the image. - - The original image is not modified. - - Parameters - ---------- - radius : int - Radius is directly proportional to the blur value. The radius is equal to the amount of pixels united in - each direction. A radius of 1 will result in a united box of 9 pixels. - - Returns - ------- - result : Image - The blurred image. - """ - image_copy = copy.deepcopy(self) - image_copy._image = image_copy._image.filter(ImageFilter.BoxBlur(radius)) - return image_copy - - def sharpen(self, factor: float) -> Image: - """ - Return a sharpened version of the image. - - The original image is not modified. - - Parameters - ---------- - factor : float - The amount of sharpness to be applied to the image. Factor 1.0 is considered to be neutral and does not make - any changes. - - Returns - ------- - result : Image - The image sharpened by the given factor. - """ - image_copy = copy.deepcopy(self) - image_copy._image = ImageEnhance.Sharpness(image_copy._image).enhance(factor) - return image_copy + return Image(F2.adjust_sharpness(self._image_tensor, factor * 1.0), device=self.device) def invert_colors(self) -> Image: - """ - Return a new image with colors inverted. - - The original image is not modified. - - Returns - ------- - result : Image - The image with inverted colors. - """ - image_copy = copy.deepcopy(self) - image_copy._image = ImageOps.invert(image_copy._image.convert("RGB")) - return image_copy + return Image(F2.invert(self._image_tensor), device=self.device) def rotate_right(self) -> Image: - """ - Return a new `Image` that is rotated 90 degrees clockwise. - - The original image is not modified. - - Returns - ------- - result : Image - The image rotated 90 degrees clockwise. - """ - image_copy = copy.deepcopy(self) - image_copy._image = image_copy._image.rotate(270, expand=True) - return image_copy + return Image(F2.rotate(self._image_tensor, -90, expand=True), device=self.device) def rotate_left(self) -> Image: - """ - Return a new `Image` that is rotated 90 degrees counter-clockwise. - - The original image is not modified. - - Returns - ------- - result : Image - The image rotated 90 degrees counter-clockwise. - """ - image_copy = copy.deepcopy(self) - image_copy._image = image_copy._image.rotate(90, expand=True) - return image_copy + return Image(F2.rotate(self._image_tensor, 90, expand=True), device=self.device) def find_edges(self) -> Image: - """ - Return a grayscale version of the image with the edges highlighted. - - The original image is not modified. - - Returns - ------- - result : Image - The image with edges found. - """ - image_copy = copy.deepcopy(self) - image_copy = image_copy.convert_to_grayscale() - image_copy._image = image_copy._image.filter(ImageFilter.FIND_EDGES) - return image_copy + pass diff --git a/src/safeds/data/image/containers/_image_pil.py b/src/safeds/data/image/containers/_image_pil.py new file mode 100644 index 000000000..b01b27392 --- /dev/null +++ b/src/safeds/data/image/containers/_image_pil.py @@ -0,0 +1,527 @@ +from __future__ import annotations + +import copy +import io +import warnings +from pathlib import Path +from typing import Any, BinaryIO + +import numpy as np +import PIL +from PIL import ImageEnhance, ImageFilter, ImageOps +from PIL.Image import Image as PillowImage +from PIL.Image import open as open_image +from skimage.util import random_noise + +from safeds.data.image.typing import ImageFormat +from safeds.exceptions import ClosedBound, OutOfBoundsError + + +class ImagePil: + """ + A container for image data. + + Parameters + ---------- + data : BinaryIO + The image data as bytes. + """ + + @staticmethod + def from_jpeg_file(path: str | Path) -> ImagePil: + """ + Create an image from a JPEG file. + + Parameters + ---------- + path : str | Path + The path to the JPEG file. + + Returns + ------- + image : ImagePil + The image. + """ + return ImagePil( + data=Path(path).open("rb"), + format_=ImageFormat.JPEG, + ) + + @staticmethod + def from_png_file(path: str | Path) -> ImagePil: + """ + Create an image from a PNG file. + + Parameters + ---------- + path : str | Path + The path to the PNG file. + + Returns + ------- + image : ImagePil + The image. + """ + return ImagePil( + data=Path(path).open("rb"), + format_=ImageFormat.PNG, + ) + + def __init__(self, data: BinaryIO, format_: ImageFormat): + data.seek(0) + + self._image: PillowImage = open_image(data, formats=[format_.value]) + self._format: ImageFormat = format_ + + # ------------------------------------------------------------------------------------------------------------------ + # Properties + # ------------------------------------------------------------------------------------------------------------------ + + @property + def format(self) -> ImageFormat: + """ + Get the image format. + + Returns + ------- + format : ImageFormat + The image format. + """ + return self._format + + @property + def width(self) -> int: + """ + Get the width of the image in pixels. + + Returns + ------- + width : int + The width of the image. + """ + return self._image.width + + @property + def height(self) -> int: + """ + Get the height of the image in pixels. + + Returns + ------- + height : int + The height of the image. + """ + return self._image.height + + # ------------------------------------------------------------------------------------------------------------------ + # Conversion + # ------------------------------------------------------------------------------------------------------------------ + + def to_jpeg_file(self, path: str | Path) -> None: + """ + Save the image as a JPEG file. + + Parameters + ---------- + path : str | Path + The path to the JPEG file. + """ + Path(path).parent.mkdir(parents=True, exist_ok=True) + self._image.save(path, format="jpeg") + + def to_png_file(self, path: str | Path) -> None: + """ + Save the image as a PNG file. + + Parameters + ---------- + path : str | Path + The path to the PNG file. + """ + Path(path).parent.mkdir(parents=True, exist_ok=True) + self._image.save(path, format="png") + + # ------------------------------------------------------------------------------------------------------------------ + # IPython integration + # ------------------------------------------------------------------------------------------------------------------ + + def __eq__(self, other: Any) -> bool: + """ + Compare two images. + + Parameters + ---------- + other: The image to compare to. + + Returns + ------- + equals : bool + Whether the two images contain equal pixel data. + + """ + if not isinstance(other, ImagePil): + return NotImplemented + return self._image.tobytes() == other._image.tobytes() + + def _repr_jpeg_(self) -> bytes | None: + """ + Return a JPEG image as bytes. + + If the image is not a JPEG, return None. + + Returns + ------- + jpeg : bytes | None + The image as JPEG. + """ + if self._format != ImageFormat.JPEG: + return None + + buffer = io.BytesIO() + self._image.save(buffer, format="jpeg") + buffer.seek(0) + return buffer.read() + + def _repr_png_(self) -> bytes | None: + """ + Return a PNG image as bytes. + + If the image is not a PNG, return None. + + Returns + ------- + png : bytes | None + The image as PNG. + """ + if self._format != ImageFormat.PNG: + return None + + buffer = io.BytesIO() + self._image.save(buffer, format="png") + buffer.seek(0) + return buffer.read() + + # ------------------------------------------------------------------------------------------------------------------ + # Transformations + # ------------------------------------------------------------------------------------------------------------------ + + def resize(self, new_width: int, new_height: int) -> ImagePil: + """ + Return a new `Image` that has been resized to a given size. + + The original image is not modified. + + Returns + ------- + result : ImagePil + The image with the given width and height. + """ + image_copy = copy.deepcopy(self) + image_copy._image = image_copy._image.resize((new_width, new_height)) + return image_copy + + def convert_to_grayscale(self) -> ImagePil: + """ + Return a new `Image` that is converted to grayscale. + + The original image is not modified. + + Returns + ------- + result : ImagePil + The grayscale image. + """ + image_copy = copy.deepcopy(self) + image_copy._image = image_copy._image.convert("L") + return image_copy + + def crop(self, x: int, y: int, width: int, height: int) -> ImagePil: + """ + Return a new `Image` that has been cropped to a given bounding rectangle. + + The original image is not modified. + + Parameters + ---------- + x: the x coordinate of the top-left corner of the bounding rectangle + y: the y coordinate of the top-left corner of the bounding rectangle + width: the width of the bounding rectangle + height: the height of the bounding rectangle + + Returns + ------- + result : ImagePil + The cropped image. + """ + image_copy = copy.deepcopy(self) + image_copy._image = image_copy._image.crop((x, y, (x + width), (y + height))) + return image_copy + + def flip_vertically(self) -> ImagePil: + """ + Return a new `Image` that is flipped vertically (horizontal axis, flips up-down and vice versa). + + The original image is not modified. + + Returns + ------- + result : ImagePil + The flipped image. + """ + image_copy = copy.deepcopy(self) + image_copy._image = self._image.transpose(PIL.Image.FLIP_TOP_BOTTOM) + return image_copy + + def flip_horizontally(self) -> ImagePil: + """ + Return a new `Ìmage` that is flipped horizontally (vertical axis, flips left-right and vice versa). + + The original image is not modified. + + Returns + ------- + result : ImagePil + The flipped image. + """ + image_copy = copy.deepcopy(self) + image_copy._image = self._image.transpose(PIL.Image.FLIP_LEFT_RIGHT) + return image_copy + + def adjust_brightness(self, factor: float) -> ImagePil: + """ + Return a new `Image` with an adjusted brightness. + + The original image is not modified. + + Parameters + ---------- + factor: float + The brightness factor. + 1.0 will not change the brightness. + Below 1.0 will result in a darker image. + Above 1.0 will resolut in a brighter image. + Has to be bigger than or equal to 0 (black). + + Returns + ------- + result: ImagePil + The Image with adjusted brightness. + """ + if factor < 0: + raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) + elif factor == 1: + warnings.warn( + "Brightness adjustment factor is 1.0, this will not make changes to the image.", + UserWarning, + stacklevel=2, + ) + + image_copy = copy.deepcopy(self) + image_copy._image = ImageEnhance.Brightness(image_copy._image).enhance(factor) + return image_copy + + def add_gaussian_noise(self, standard_deviation: float) -> ImagePil: + """ + Return a new `Image` with Gaussian noise added to the image. + + The original image is not modified. + + Parameters + ---------- + standard_deviation : float + The standard deviation of the Gaussian distribution. Has to be bigger than or equal to 0. + + Returns + ------- + result : ImagePil + The image with added Gaussian noise. + + Raises + ------ + OutOfBoundsError + If standard_deviation is smaller than 0. + """ + if standard_deviation < 0: + raise OutOfBoundsError(standard_deviation, name="standard_deviation", lower_bound=ClosedBound(0)) + + # noinspection PyTypeChecker + image_as_array = np.asarray(self._image) + noisy_image_as_array = random_noise( + image_as_array, + mode="gaussian", + var=standard_deviation**2, + rng=42, + clip=True, + ) + noisy_image = PIL.Image.fromarray(np.uint8(255 * noisy_image_as_array)) + + image_copy = copy.deepcopy(self) + image_copy._image = noisy_image + return image_copy + + def adjust_contrast(self, factor: float) -> ImagePil: + """ + Return a new `Image` with adjusted contrast. + + The original image is not modified. + + Parameters + ---------- + factor: float + If factor > 1, increase contrast of image. + If factor = 1, no changes will be made. + If factor < 1, make image greyer. + Has to be bigger than or equal to 0 (gray). + + Returns + ------- + image: ImagePil + New image with adjusted contrast. + """ + if factor < 0: + raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) + elif factor == 1: + warnings.warn( + "Contrast adjustment factor is 1.0, this will not make changes to the image.", + UserWarning, + stacklevel=2, + ) + + image_copy = copy.deepcopy(self) + image_copy._image = ImageEnhance.Contrast(image_copy._image).enhance(factor) + return image_copy + + def adjust_color_balance(self, factor: float) -> ImagePil: + """ + Return a new `Image` with adjusted color balance. + + The original image is not modified. + + Parameters + ---------- + factor: float + If factor > 1, increase color balance of image. + If factor = 1, no changes will be made. + If factor < 1, make image greyer. + Has to be bigger than or equal to 0. + + Returns + ------- + image: ImagePil + The new, adjusted image. + """ + if factor < 0: + raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) + elif factor == 1: + warnings.warn( + "Color adjustment factor is 1.0, this will not make changes to the image.", + UserWarning, + stacklevel=2, + ) + + image_copy = copy.deepcopy(self) + image_copy._image = ImageEnhance.Color(image_copy._image).enhance(factor) + return image_copy + + def blur(self, radius: int) -> ImagePil: + """ + Return a blurred version of the image. + + The original image is not modified. + + Parameters + ---------- + radius : int + Radius is directly proportional to the blur value. The radius is equal to the amount of pixels united in + each direction. A radius of 1 will result in a united box of 9 pixels. + + Returns + ------- + result : ImagePil + The blurred image. + """ + image_copy = copy.deepcopy(self) + image_copy._image = image_copy._image.filter(ImageFilter.BoxBlur(radius)) + return image_copy + + def sharpen(self, factor: float) -> ImagePil: + """ + Return a sharpened version of the image. + + The original image is not modified. + + Parameters + ---------- + factor : float + The amount of sharpness to be applied to the image. Factor 1.0 is considered to be neutral and does not make + any changes. + + Returns + ------- + result : ImagePil + The image sharpened by the given factor. + """ + image_copy = copy.deepcopy(self) + image_copy._image = ImageEnhance.Sharpness(image_copy._image).enhance(factor) + return image_copy + + def invert_colors(self) -> ImagePil: + """ + Return a new image with colors inverted. + + The original image is not modified. + + Returns + ------- + result : ImagePil + The image with inverted colors. + """ + image_copy = copy.deepcopy(self) + image_copy._image = ImageOps.invert(image_copy._image.convert("RGB")) + return image_copy + + def rotate_right(self) -> ImagePil: + """ + Return a new `Image` that is rotated 90 degrees clockwise. + + The original image is not modified. + + Returns + ------- + result : ImagePil + The image rotated 90 degrees clockwise. + """ + image_copy = copy.deepcopy(self) + image_copy._image = image_copy._image.rotate(270, expand=True) + return image_copy + + def rotate_left(self) -> ImagePil: + """ + Return a new `Image` that is rotated 90 degrees counter-clockwise. + + The original image is not modified. + + Returns + ------- + result : ImagePil + The image rotated 90 degrees counter-clockwise. + """ + image_copy = copy.deepcopy(self) + image_copy._image = image_copy._image.rotate(90, expand=True) + return image_copy + + def find_edges(self) -> ImagePil: + """ + Return a grayscale version of the image with the edges highlighted. + + The original image is not modified. + + Returns + ------- + result : ImagePil + The image with edges found. + """ + image_copy = copy.deepcopy(self) + image_copy = image_copy.convert_to_grayscale() + image_copy._image = image_copy._image.filter(ImageFilter.FIND_EDGES) + return image_copy diff --git a/src/safeds/data/tabular/containers/_column.py b/src/safeds/data/tabular/containers/_column.py index a0fcc2936..bc18072ed 100644 --- a/src/safeds/data/tabular/containers/_column.py +++ b/src/safeds/data/tabular/containers/_column.py @@ -11,7 +11,7 @@ import pandas as pd import seaborn as sns -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.image.typing import ImageFormat from safeds.data.tabular.typing import ColumnType from safeds.exceptions import ( @@ -894,13 +894,13 @@ def variance(self) -> float: # Plotting # ------------------------------------------------------------------------------------------------------------------ - def plot_boxplot(self) -> Image: + def plot_boxplot(self) -> ImagePil: """ Plot this column in a boxplot. This function can only plot real numerical data. Returns ------- - plot: Image + plot: ImagePil The plot as an image. Raises @@ -927,15 +927,15 @@ def plot_boxplot(self) -> Image: fig.savefig(buffer, format="png") plt.close() # Prevents the figure from being displayed directly buffer.seek(0) - return Image(buffer, ImageFormat.PNG) + return ImagePil(buffer, ImageFormat.PNG) - def plot_histogram(self) -> Image: + def plot_histogram(self) -> ImagePil: """ Plot a column in a histogram. Returns ------- - plot: Image + plot: ImagePil The plot as an image. Examples @@ -959,7 +959,7 @@ def plot_histogram(self) -> Image: fig.savefig(buffer, format="png") plt.close() # Prevents the figure from being displayed directly buffer.seek(0) - return Image(buffer, ImageFormat.PNG) + return ImagePil(buffer, ImageFormat.PNG) # ------------------------------------------------------------------------------------------------------------------ # Conversion diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 63c9a7cff..e949e0813 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -16,7 +16,7 @@ from pandas import DataFrame from scipy import stats -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.image.typing import ImageFormat from safeds.data.tabular.typing import ColumnType, Schema from safeds.exceptions import ( @@ -1837,13 +1837,13 @@ def inverse_transform_table(self, transformer: InvertibleTableTransformer) -> Ta # Plotting # ------------------------------------------------------------------------------------------------------------------ - def plot_correlation_heatmap(self) -> Image: + def plot_correlation_heatmap(self) -> ImagePil: """ Plot a correlation heatmap for all numerical columns of this `Table`. Returns ------- - plot: Image + plot: ImagePil The plot as an image. Examples @@ -1894,9 +1894,9 @@ def plot_correlation_heatmap(self) -> Image: fig.savefig(buffer, format="png") plt.close() # Prevents the figure from being displayed directly buffer.seek(0) - return Image(buffer, format_=ImageFormat.PNG) + return ImagePil(buffer, format_=ImageFormat.PNG) - def plot_lineplot(self, x_column_name: str, y_column_name: str) -> Image: + def plot_lineplot(self, x_column_name: str, y_column_name: str) -> ImagePil: """ Plot two columns against each other in a lineplot. @@ -1912,7 +1912,7 @@ def plot_lineplot(self, x_column_name: str, y_column_name: str) -> Image: Returns ------- - plot: Image + plot: ImagePil The plot as an image. Raises @@ -1955,9 +1955,9 @@ def plot_lineplot(self, x_column_name: str, y_column_name: str) -> Image: fig.savefig(buffer, format="png") plt.close() # Prevents the figure from being displayed directly buffer.seek(0) - return Image(buffer, format_=ImageFormat.PNG) + return ImagePil(buffer, format_=ImageFormat.PNG) - def plot_scatterplot(self, x_column_name: str, y_column_name: str) -> Image: + def plot_scatterplot(self, x_column_name: str, y_column_name: str) -> ImagePil: """ Plot two columns against each other in a scatterplot. @@ -1970,7 +1970,7 @@ def plot_scatterplot(self, x_column_name: str, y_column_name: str) -> Image: Returns ------- - plot: Image + plot: ImagePil The plot as an image. Raises @@ -2013,15 +2013,15 @@ def plot_scatterplot(self, x_column_name: str, y_column_name: str) -> Image: fig.savefig(buffer, format="png") plt.close() # Prevents the figure from being displayed directly buffer.seek(0) - return Image(buffer, format_=ImageFormat.PNG) + return ImagePil(buffer, format_=ImageFormat.PNG) - def plot_boxplots(self) -> Image: + def plot_boxplots(self) -> ImagePil: """ Plot a boxplot for every numerical column. Returns ------- - plot: Image + plot: ImagePil The plot as an image. Raises @@ -2060,15 +2060,15 @@ def plot_boxplots(self) -> Image: fig.savefig(buffer, format="png") plt.close() # Prevents the figure from being displayed directly buffer.seek(0) - return Image(buffer, format_=ImageFormat.PNG) + return ImagePil(buffer, format_=ImageFormat.PNG) - def plot_histograms(self) -> Image: + def plot_histograms(self) -> ImagePil: """ Plot a histogram for every column. Returns ------- - plot: Image + plot: ImagePil The plot as an image. Examples @@ -2095,7 +2095,7 @@ def plot_histograms(self) -> Image: fig.savefig(buffer, format="png") plt.close() buffer.seek(0) - return Image(buffer, ImageFormat.PNG) + return ImagePil(buffer, ImageFormat.PNG) # ------------------------------------------------------------------------------------------------------------------ # Conversion diff --git a/tests/safeds/data/image/containers/test_image.py b/tests/safeds/data/image/containers/test_image.py index e4b3af491..10a3ad5bc 100644 --- a/tests/safeds/data/image/containers/test_image.py +++ b/tests/safeds/data/image/containers/test_image.py @@ -1,510 +1,436 @@ from pathlib import Path -from tempfile import NamedTemporaryFile import pytest +import torch + from safeds.data.image.containers import Image -from safeds.data.image.typing import ImageFormat from safeds.data.tabular.containers import Table from safeds.exceptions import OutOfBoundsError - from tests.helpers import resolve_resource_path -class TestFromJpegFile: - @pytest.mark.parametrize( - "path", - ["image/white_square.jpg", Path("image/white_square.jpg")], - ids=["jpg", "jpg_Path"], - ) - def test_should_load_jpeg_file(self, path: str | Path) -> None: - Image.from_jpeg_file(resolve_resource_path(path)) +def _test_devices() -> list[torch.device]: + return [torch.device("cpu")] + ([torch.device("cuda")] if torch.cuda.is_available() else []) + + +def _test_devices_ids() -> list[str]: + return ["cpu"] + (["cuda"] if torch.cuda.is_available() else []) - @pytest.mark.parametrize( - "path", - ["image/missing_file.jpg", Path("image/missing_file.jpg")], - ids=["missing_file_jpg", "missing_file_jpg_Path"], - ) - def test_should_raise_if_file_not_found(self, path: str | Path) -> None: - with pytest.raises(FileNotFoundError): - Image.from_jpeg_file(resolve_resource_path(path)) +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) +class TestFromFile: -class TestFromPngFile: @pytest.mark.parametrize( "path", - ["image/white_square.png", Path("image/white_square.png")], - ids=["png", "png_Path"], + ["image/white_square.jpg", Path("image/white_square.jpg"), "image/white_square.png", + Path("image/white_square.png")], + ids=["jpg", "jpg_Path", "png", "png_Path"], ) - def test_should_load_png_file(self, path: str | Path) -> None: - Image.from_png_file(resolve_resource_path(path)) + def test_should_load_from_file(self, path: str | Path, device) -> None: + Image.from_file(resolve_resource_path(path), device) @pytest.mark.parametrize( "path", - ["image/missing_file.png", Path("image/missing_file.png")], - ids=["missing_file_png", "missing_file_png_Path"], + ["image/missing_file.jpg", Path("image/missing_file.jpg"), "image/missing_file.png", + Path("image/missing_file.png")], + ids=["missing_file_jpg", "missing_file_jpg_Path", "missing_file_png", "missing_file_png_Path"], ) - def test_should_raise_if_file_not_found(self, path: str | Path) -> None: + def test_should_raise_if_file_not_found(self, path: str | Path, device) -> None: with pytest.raises(FileNotFoundError): - Image.from_png_file(resolve_resource_path(path)) - - -class TestFormat: - @pytest.mark.parametrize( - ("image", "format_"), - [ - (Image.from_jpeg_file(resolve_resource_path("image/white_square.jpg")), ImageFormat.JPEG), - (Image.from_png_file(resolve_resource_path("image/white_square.png")), ImageFormat.PNG), - ], - ids=["jpg", "png"], - ) - def test_should_return_correct_format(self, image: Image, format_: ImageFormat) -> None: - assert image.format == format_ + Image.from_file(resolve_resource_path(path), device) +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestProperties: + @pytest.mark.parametrize( - ("image", "width", "height"), + ("image_path", "width", "height"), [ ( - Image.from_jpeg_file(resolve_resource_path("image/white_square.jpg")), + "image/white_square.jpg", 1, 1, ), ( - Image.from_png_file(resolve_resource_path("image/snapshot_boxplot.png")), + "image/snapshot_boxplot.png", 640, 480, ), ], ids=["[1,1].jpg", "[640,480].png"], ) - def test_should_return_image_properties(self, image: Image, width: int, height: int) -> None: + def test_should_return_image_properties(self, image_path: str, width: int, height: int, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) assert image.width == width assert image.height == height -class TestToJpegFile: - @pytest.mark.parametrize("path", ["image/white_square.jpg"], ids=["jpg_file"]) - def test_should_save_jpeg_file_by_str(self, path: str) -> None: - image = Image.from_jpeg_file(resolve_resource_path(path)) - - with NamedTemporaryFile() as tmp_file: - tmp_file.close() - with Path(tmp_file.name).open("wb") as tmp_write_file: - image.to_jpeg_file(tmp_write_file.name) - with Path(tmp_file.name).open("rb") as tmp_read_file: - image_read_back = Image.from_jpeg_file(tmp_read_file.name) - - assert image._image.tobytes() == image_read_back._image.tobytes() - - @pytest.mark.parametrize("path", ["image/white_square.jpg"], ids=["jpg"]) - def test_should_save_jpeg_file_by_path(self, path: str) -> None: - image = Image.from_jpeg_file(resolve_resource_path(path)) - - with NamedTemporaryFile() as tmp_file: - tmp_file.close() - with Path(tmp_file.name).open("wb") as tmp_write_file: - image.to_jpeg_file(Path(tmp_write_file.name)) - with Path(tmp_file.name).open("rb") as tmp_read_file: - image_read_back = Image.from_jpeg_file(tmp_read_file.name) - - assert image._image.tobytes() == image_read_back._image.tobytes() - - -class TestToPngFile: - @pytest.mark.parametrize("path", ["image/white_square.png"], ids=["png"]) - def test_should_save_png_file_by_str(self, path: str) -> None: - image = Image.from_png_file(resolve_resource_path(path)) - - with NamedTemporaryFile() as tmp_file: - tmp_file.close() - with Path(tmp_file.name).open("wb") as tmp_write_file: - image.to_png_file(tmp_write_file.name) - with Path(tmp_file.name).open("rb") as tmp_read_file: - image_read_back = Image.from_png_file(tmp_read_file.name) - - assert image._image.tobytes() == image_read_back._image.tobytes() - - @pytest.mark.parametrize("path", ["image/white_square.png"], ids=["png"]) - def test_should_save_png_file_by_path(self, path: str) -> None: - image = Image.from_png_file(resolve_resource_path(path)) - - with NamedTemporaryFile() as tmp_file: - tmp_file.close() - with Path(tmp_file.name).open("wb") as tmp_write_file: - image.to_png_file(Path(tmp_write_file.name)) - with Path(tmp_file.name).open("rb") as tmp_read_file: - image_read_back = Image.from_png_file(tmp_read_file.name) - - assert image._image.tobytes() == image_read_back._image.tobytes() - +class TestEQ: -class TestReprJpeg: @pytest.mark.parametrize( - "image", - [Image.from_jpeg_file(resolve_resource_path("image/white_square.jpg"))], - ids=["jpg"], + "device", _test_devices(), ids=_test_devices_ids() ) - def test_should_return_bytes_if_image_is_jpeg(self, image: Image) -> None: - assert isinstance(image._repr_jpeg_(), bytes) + def test_should_be_equal(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) + image2 = Image.from_file(resolve_resource_path("image/copy.png"), device) + assert image == image2 @pytest.mark.parametrize( - "image", - [Image.from_png_file(resolve_resource_path("image/white_square.png"))], - ids=["png"], + "device", _test_devices(), ids=_test_devices_ids() ) - def test_should_return_none_if_image_is_not_jpeg(self, image: Image) -> None: - assert image._repr_jpeg_() is None + def test_should_not_be_equal(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) + image2 = Image.from_file(resolve_resource_path("image/white_square.png"), device) + assert image != image2 + @pytest.mark.skipif(not torch.cuda.is_available(), reason="requires cuda") + def test_should_be_equal_different_devices(self) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), torch.device("cpu")) + image2 = Image.from_file(resolve_resource_path("image/copy.png"), torch.device("cuda")) + assert image == image2 + assert image2 == image -class TestReprPng: - @pytest.mark.parametrize( - "image", - [Image.from_png_file(resolve_resource_path("image/white_square.png"))], - ids=["png"], - ) - def test_should_return_bytes_if_image_is_png(self, image: Image) -> None: - assert isinstance(image._repr_png_(), bytes) + @pytest.mark.skipif(not torch.cuda.is_available(), reason="requires cuda") + def test_should_not_be_equal_different_devices(self) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), torch.device("cpu")) + image2 = Image.from_file(resolve_resource_path("image/white_square.png"), torch.device("cuda")) + assert image != image2 + assert image2 != image @pytest.mark.parametrize( - "image", - [Image.from_jpeg_file(resolve_resource_path("image/white_square.jpg"))], - ids=["jpg"], + "device", _test_devices(), ids=_test_devices_ids() ) - def test_should_return_none_if_image_is_not_png(self, image: Image) -> None: - assert image._repr_png_() is None + def test_should_raise(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) + other = Table() + assert (image.__eq__(other)) is NotImplemented +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestResize: @pytest.mark.parametrize( - ("image", "new_width", "new_height", "new_size"), + ("image_path", "new_width", "new_height"), [ ( - Image.from_png_file(resolve_resource_path("image/white_square.png")), + "image/white_square.png", 2, 3, - (2, 3), ), ], ids=["(2, 3)"], ) def test_should_return_resized_image( self, - image: Image, + image_path: Image, new_width: int, new_height: int, - new_size: tuple[int, int], + device ) -> None: - assert image.resize(new_width, new_height)._image.size == new_size + image = Image.from_file(resolve_resource_path("image/white_square.png"), device) + new_image = image.resize(new_width, new_height) + assert new_image.width == new_width + assert new_image.height == new_height + assert image.width != new_width + assert image.height != new_height + assert image != new_image + + +class TestDevices: + + @pytest.mark.skipif(not torch.cuda.is_available(), reason="requires cuda") + def test_should_change_device(self): + image = Image.from_file(resolve_resource_path("image/original.png"), torch.device("cpu")) + new_device = torch.device("cuda", 0) + assert image.set_device(new_device).device == new_device +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestConvertToGrayscale: @pytest.mark.parametrize( - ("image", "expected"), + ("image_path", "expected_path"), [ ( - Image.from_png_file(resolve_resource_path("image/snapshot_heatmap.png")), - Image.from_png_file(resolve_resource_path("image/snapshot_heatmap_grayscale.png")), + "image/snapshot_heatmap.png", + "image/snapshot_heatmap_grayscale.png" ), ], ids=["grayscale"], ) - def test_convert_to_grayscale(self, image: Image, expected: Image) -> None: + def test_convert_to_grayscale(self, image_path: str, expected_path: str, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) + expected = Image.from_file(resolve_resource_path(expected_path), device) grayscale_image = image.convert_to_grayscale() assert grayscale_image == expected -class TestEQ: - def test_should_be_equal(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) - image2 = Image.from_png_file(resolve_resource_path("image/copy.png")) - assert image == image2 - - def test_should_not_be_equal(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) - image2 = Image.from_png_file(resolve_resource_path("image/white_square.png")) - assert image != image2 - - def test_should_raise(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) - other = Table() - assert (image.__eq__(other)) is NotImplemented +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) +class TestCrop: + @pytest.mark.parametrize( + ("image_path", "expected_path"), + [ + ( + "image/white.png", + "image/whiteCropped.png", + ), + ], + ids=["crop"], + ) + def test_should_return_cropped_image(self, image_path: str, expected_path: str, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) + expected = Image.from_file(resolve_resource_path(expected_path), device) + image = image.crop(0, 0, 100, 100) + assert image == expected +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestFlipVertically: - def test_should_flip_vertically(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) + def test_should_flip_vertically(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_vertically() - image3 = Image.from_png_file(resolve_resource_path("image/flip_vertically.png")) + image3 = Image.from_file(resolve_resource_path("image/flip_vertically.png"), device) assert image != image2 assert image2 == image3 - def test_should_be_original(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) + def test_should_be_original(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_vertically().flip_vertically() assert image == image2 +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestFlipHorizontally: - def test_should_flip_horizontally(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) + def test_should_flip_horizontally(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_horizontally() - image3 = Image.from_png_file(resolve_resource_path("image/flip_horizontally.png")) + image3 = Image.from_file(resolve_resource_path("image/flip_horizontally.png"), device) assert image != image2 assert image2 == image3 - def test_should_be_original(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/original.png")) + def test_should_be_original(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_horizontally().flip_horizontally() assert image == image2 -class TestAdjustContrast: - @pytest.mark.parametrize("factor", [0.75, 5], ids=["small factor", "large factor"]) - def test_should_adjust_contrast(self, factor: float) -> None: - image = Image.from_png_file(resolve_resource_path("image/contrast/to_adjust_contrast.png")) - image2 = image.adjust_contrast(factor) - image3 = Image.from_png_file( - resolve_resource_path("image/contrast/contrast_adjusted_by_" + str(factor) + ".png"), - ) - assert image != image2 - assert image2 == image3 - - def test_should_not_adjust_contrast(self) -> None: - with pytest.warns( - UserWarning, - match="Contrast adjustment factor is 1.0, this will not make changes to the image.", - ): - image = Image.from_png_file(resolve_resource_path("image/contrast/to_adjust_contrast.png")) - image2 = image.adjust_contrast(1) - assert image == image2 - - def test_should_raise(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): - image.adjust_contrast(-1) - - +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestBrightness: @pytest.mark.parametrize("factor", [0.5, 10], ids=["small factor", "large factor"]) - def test_should_adjust_brightness(self, factor: float) -> None: - image = Image.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + def test_should_adjust_brightness(self, factor: float, device) -> None: + image = Image.from_file(resolve_resource_path("image/brightness/to_brighten.png"), device) image2 = image.adjust_brightness(factor) - image3 = Image.from_png_file(resolve_resource_path("image/brightness/brightened_by_" + str(factor) + ".png")) + image3 = Image.from_file(resolve_resource_path("image/brightness/brightened_by_" + str(factor) + ".png"), + device) assert image != image2 assert image2 == image3 - def test_should_not_brighten(self) -> None: + def test_should_not_brighten(self, device) -> None: with pytest.warns( UserWarning, match="Brightness adjustment factor is 1.0, this will not make changes to the image.", ): - image = Image.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + image = Image.from_file(resolve_resource_path("image/brightness/to_brighten.png"), device) image2 = image.adjust_brightness(1) assert image == image2 - def test_should_raise(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + def test_should_raise(self, device) -> None: + image = Image.from_file(resolve_resource_path("image/brightness/to_brighten.png"), device) with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): image.adjust_brightness(-1) -class TestInvertColors: - @pytest.mark.parametrize( - ("image", "expected"), - [ - ( - Image.from_png_file(resolve_resource_path("image/original.png")), - Image.from_png_file(resolve_resource_path("image/inverted_colors_original.png")), - ), - ], - ids=["invert-colors"], - ) - def test_should_invert_colors(self, image: Image, expected: Image) -> None: - image = image.invert_colors() - assert image == expected - - -class TestColorAdjust: - @pytest.mark.parametrize( - ("image", "factor", "expected"), - [ - ( - Image.from_png_file(resolve_resource_path("image/original.png")), - 2, - Image.from_png_file(resolve_resource_path("image/adjusted_colors/by_2.png")), - ), - ( - Image.from_png_file(resolve_resource_path("image/original.png")), - 0.5, - Image.from_png_file(resolve_resource_path("image/adjusted_colors/by_0.5.png")), - ), - ( - Image.from_png_file(resolve_resource_path("image/original.png")), - 0, - Image.from_png_file(resolve_resource_path("image/adjusted_colors/by_0.png")), - ), - ], - ids=["add color", "remove color", "remove all color"], - ) - def test_should_adjust_colors(self, image: Image, factor: float, expected: Image) -> None: - image = image.adjust_color_balance(factor) - assert image == expected - - @pytest.mark.parametrize( - ("image", "factor"), - [ - ( - Image.from_png_file(resolve_resource_path("image/original.png")), - -1, - ), - ], - ids=["negative"], - ) - def test_should_throw(self, image: Image, factor: float) -> None: - with pytest.raises(OutOfBoundsError, match=rf"factor \(={factor}\) is not inside \[0, \u221e\)."): - image.adjust_color_balance(factor) - - @pytest.mark.parametrize( - ("image", "factor"), - [ - ( - Image.from_png_file(resolve_resource_path("image/original.png")), - 1, - ), - ], - ids=["no change"], - ) - def test_should_warn(self, image: Image, factor: float) -> None: - with pytest.warns( - UserWarning, - match="Color adjustment factor is 1.0, this will not make changes to the image.", - ): - adjust = image.adjust_color_balance(factor) - assert adjust == image - - +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestAddGaussianNoise: @pytest.mark.parametrize( - ("image", "standard_deviation"), + ("image_path", "standard_deviation"), [ - (Image.from_png_file(resolve_resource_path("image/boy.png")), 0.0), - (Image.from_png_file(resolve_resource_path("image/boy.png")), 0.7), - (Image.from_png_file(resolve_resource_path("image/boy.png")), 2.5), + ("image/boy.png", 0.0), + ("image/boy.png", 0.7), + ("image/boy.png", 2.5), ], ids=["minimum noise", "some noise", "very noisy"], ) - def test_should_add_noise(self, image: Image, standard_deviation: float) -> None: - expected = Image.from_png_file( - resolve_resource_path("image/noise/noise_" + str(standard_deviation) + ".png"), + def test_should_add_noise(self, image_path: str, standard_deviation: float, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) + expected = Image.from_file( + resolve_resource_path("image/noise/noise_" + str(standard_deviation) + ".png"), device ) image = image.add_gaussian_noise(standard_deviation) + # plt.imshow(image._image_tensor.squeeze().permute(1, 2, 0).cpu()) + # plt.show() + # + # plt.imshow(expected._image_tensor.squeeze().permute(1, 2, 0).cpu()) + # plt.show() + assert image == expected @pytest.mark.parametrize( - ("image", "standard_deviation"), - [(Image.from_png_file(resolve_resource_path("image/boy.png")), -1)], + ("image_path", "standard_deviation"), + [("image/boy.png", -1)], ids=["sigma below zero"], ) - def test_should_raise_standard_deviation(self, image: Image, standard_deviation: float) -> None: + def test_should_raise_standard_deviation(self, image_path: str, standard_deviation: float, device) -> None: with pytest.raises( OutOfBoundsError, match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.", ): + image = Image.from_file(resolve_resource_path(image_path), device) image.add_gaussian_noise(standard_deviation) +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) +class TestAdjustContrast: + @pytest.mark.parametrize("factor", [0.75, 5], ids=["small factor", "large factor"]) + def test_should_adjust_contrast(self, factor: float, device) -> None: + image = Image.from_file(resolve_resource_path("image/contrast/to_adjust_contrast.png"), device) + image2 = image.adjust_contrast(factor) + image3 = Image.from_file( + resolve_resource_path("image/contrast/contrast_adjusted_by_" + str(factor) + ".png"), device + ) + + # plt.imshow(image2._image_tensor.squeeze().permute(1, 2, 0).cpu()) + # plt.show() + # + # plt.imshow(image3._image_tensor.squeeze().permute(1, 2, 0).cpu()) + # plt.show() + + assert image != image2 + assert image2 == image3 + + def test_should_not_adjust_contrast(self, device) -> None: + with pytest.warns( + UserWarning, + match="Contrast adjustment factor is 1.0, this will not make changes to the image.", + ): + image = Image.from_file(resolve_resource_path("image/contrast/to_adjust_contrast.png"), device) + image2 = image.adjust_contrast(1) + assert image == image2 + + +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestBlur: @pytest.mark.parametrize( - ("image", "expected"), + ("image_path", "expected_path"), [ ( - Image.from_png_file(resolve_resource_path("image/boy.png")), - Image.from_png_file(resolve_resource_path("image/blurredBoy.png")), + "image/boy.png", + "image/blurredBoy.png", ), ], ids=["blur"], ) - def test_should_return_blurred_image(self, image: Image, expected: Image) -> None: + def test_should_return_blurred_image(self, image_path: str, expected_path: str, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device=device) + expected = Image.from_file(resolve_resource_path(expected_path), device=device) image = image.blur(2) + # plt.imshow(image._image_tensor.squeeze().permute(1, 2, 0).cpu()) + # plt.show() + # + # plt.imshow(expected._image_tensor.squeeze().permute(1, 2, 0).cpu()) + # plt.show() assert image == expected -class TestCrop: - @pytest.mark.parametrize( - ("image", "expected"), - [ - ( - Image.from_png_file(resolve_resource_path("image/white.png")), - Image.from_png_file(resolve_resource_path("image/whiteCropped.png")), - ), - ], - ids=["crop"], - ) - def test_should_return_cropped_image(self, image: Image, expected: Image) -> None: - image = image.crop(0, 0, 100, 100) - assert image == expected - - +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) class TestSharpen: - @pytest.mark.parametrize("factor", [-1, 0.5, 10], ids=["negative factor", "small factor", "large factor"]) - def test_should_sharpen(self, factor: float) -> None: - image = Image.from_png_file(resolve_resource_path("image/sharpen/to_sharpen.png")) + @pytest.mark.parametrize("factor", [0, 0.5, 10], ids=["zero factor", "small factor", "large factor"]) + def test_should_sharpen(self, factor: float, device) -> None: + image = Image.from_file(resolve_resource_path("image/sharpen/to_sharpen.png"), device) image2 = image.sharpen(factor) - image2.to_png_file(resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png")) + # image2.to_png_file(resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png")) assert image != image2 - assert image2 == Image.from_png_file( - resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png"), + assert image2 == Image.from_file( + resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png"), device ) - def test_should_not_sharpen(self) -> None: - image = Image.from_png_file(resolve_resource_path("image/sharpen/to_sharpen.png")) - image2 = image.sharpen(1) - assert image == image2 + def test_should_raise_negative_sharpen(self, device) -> None: + with pytest.raises(OutOfBoundsError): + Image.from_file(resolve_resource_path("image/sharpen/to_sharpen.png"), device).sharpen(-1.0) + def test_should_not_sharpen(self, device) -> None: + with pytest.warns(UserWarning, match="Sharpen factor is 1.0, this will not make changes to the image."): + image = Image.from_file(resolve_resource_path("image/sharpen/to_sharpen.png"), device) + image2 = image.sharpen(1) + assert image == image2 -class TestRotate: + +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) +class TestInvertColors: @pytest.mark.parametrize( - ("image", "expected"), + ("image_path", "expected_path"), [ ( - Image.from_png_file(resolve_resource_path("image/snapshot_boxplot.png")), - Image.from_png_file(resolve_resource_path("image/snapshot_boxplot_right_rotation.png")), + "image/original.png", + "image/inverted_colors_original.png", ), ], - ids=["rotate-clockwise"], + ids=["invert-colors"], ) - def test_should_return_clockwise_rotated_image(self, image: Image, expected: Image) -> None: - image = image.rotate_right() + def test_should_invert_colors(self, image_path: str, expected_path: str, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) + expected = Image.from_file(resolve_resource_path(expected_path), device) + image = image.invert_colors() assert image == expected + +@pytest.mark.parametrize( + "device", _test_devices(), ids=_test_devices_ids() +) +class TestRotate: @pytest.mark.parametrize( - ("image", "expected"), + ("image_path", "expected_path"), [ ( - Image.from_png_file(resolve_resource_path("image/snapshot_boxplot.png")), - Image.from_png_file(resolve_resource_path("image/snapshot_boxplot_left_rotation.png")), + "image/snapshot_boxplot.png", + "image/snapshot_boxplot_right_rotation.png", ), ], - ids=["rotate-counter-clockwise"], + ids=["rotate-clockwise"], ) - def test_should_return_counter_clockwise_rotated_image(self, image: Image, expected: Image) -> None: - image = image.rotate_left() + def test_should_return_clockwise_rotated_image(self, image_path: str, expected_path: str, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) + expected = Image.from_file(resolve_resource_path(expected_path), device) + image = image.rotate_right() assert image == expected - -class TestFindEdges: @pytest.mark.parametrize( - ("image", "expected"), + ("image_path", "expected_path"), [ ( - Image.from_png_file(resolve_resource_path("image/boy.png")), - Image.from_png_file(resolve_resource_path("image/edgyBoy.png")), + "image/snapshot_boxplot.png", + "image/snapshot_boxplot_left_rotation.png", ), ], - ids=["find_edges"], + ids=["rotate-counter-clockwise"], ) - def test_should_return_edges_of_image(self, image: Image, expected: Image) -> None: - image = image.find_edges() + def test_should_return_counter_clockwise_rotated_image(self, image_path: str, expected_path: str, device) -> None: + image = Image.from_file(resolve_resource_path(image_path), device) + expected = Image.from_file(resolve_resource_path(expected_path), device) + image = image.rotate_left() assert image == expected diff --git a/tests/safeds/data/image/containers/test_image_pil.py b/tests/safeds/data/image/containers/test_image_pil.py new file mode 100644 index 000000000..4ad8e75e6 --- /dev/null +++ b/tests/safeds/data/image/containers/test_image_pil.py @@ -0,0 +1,510 @@ +from pathlib import Path +from tempfile import NamedTemporaryFile + +import pytest +from safeds.data.image.containers import ImagePil +from safeds.data.image.typing import ImageFormat +from safeds.data.tabular.containers import Table +from safeds.exceptions import OutOfBoundsError + +from tests.helpers import resolve_resource_path + + +class TestFromJpegFile: + @pytest.mark.parametrize( + "path", + ["image/white_square.jpg", Path("image/white_square.jpg")], + ids=["jpg", "jpg_Path"], + ) + def test_should_load_jpeg_file(self, path: str | Path) -> None: + ImagePil.from_jpeg_file(resolve_resource_path(path)) + + @pytest.mark.parametrize( + "path", + ["image/missing_file.jpg", Path("image/missing_file.jpg")], + ids=["missing_file_jpg", "missing_file_jpg_Path"], + ) + def test_should_raise_if_file_not_found(self, path: str | Path) -> None: + with pytest.raises(FileNotFoundError): + ImagePil.from_jpeg_file(resolve_resource_path(path)) + + +class TestFromPngFile: + @pytest.mark.parametrize( + "path", + ["image/white_square.png", Path("image/white_square.png")], + ids=["png", "png_Path"], + ) + def test_should_load_png_file(self, path: str | Path) -> None: + ImagePil.from_png_file(resolve_resource_path(path)) + + @pytest.mark.parametrize( + "path", + ["image/missing_file.png", Path("image/missing_file.png")], + ids=["missing_file_png", "missing_file_png_Path"], + ) + def test_should_raise_if_file_not_found(self, path: str | Path) -> None: + with pytest.raises(FileNotFoundError): + ImagePil.from_png_file(resolve_resource_path(path)) + + +class TestFormat: + @pytest.mark.parametrize( + ("image", "format_"), + [ + (ImagePil.from_jpeg_file(resolve_resource_path("image/white_square.jpg")), ImageFormat.JPEG), + (ImagePil.from_png_file(resolve_resource_path("image/white_square.png")), ImageFormat.PNG), + ], + ids=["jpg", "png"], + ) + def test_should_return_correct_format(self, image: ImagePil, format_: ImageFormat) -> None: + assert image.format == format_ + + +class TestProperties: + @pytest.mark.parametrize( + ("image", "width", "height"), + [ + ( + ImagePil.from_jpeg_file(resolve_resource_path("image/white_square.jpg")), + 1, + 1, + ), + ( + ImagePil.from_png_file(resolve_resource_path("image/snapshot_boxplot.png")), + 640, + 480, + ), + ], + ids=["[1,1].jpg", "[640,480].png"], + ) + def test_should_return_image_properties(self, image: ImagePil, width: int, height: int) -> None: + assert image.width == width + assert image.height == height + + +class TestToJpegFile: + @pytest.mark.parametrize("path", ["image/white_square.jpg"], ids=["jpg_file"]) + def test_should_save_jpeg_file_by_str(self, path: str) -> None: + image = ImagePil.from_jpeg_file(resolve_resource_path(path)) + + with NamedTemporaryFile() as tmp_file: + tmp_file.close() + with Path(tmp_file.name).open("wb") as tmp_write_file: + image.to_jpeg_file(tmp_write_file.name) + with Path(tmp_file.name).open("rb") as tmp_read_file: + image_read_back = ImagePil.from_jpeg_file(tmp_read_file.name) + + assert image._image.tobytes() == image_read_back._image.tobytes() + + @pytest.mark.parametrize("path", ["image/white_square.jpg"], ids=["jpg"]) + def test_should_save_jpeg_file_by_path(self, path: str) -> None: + image = ImagePil.from_jpeg_file(resolve_resource_path(path)) + + with NamedTemporaryFile() as tmp_file: + tmp_file.close() + with Path(tmp_file.name).open("wb") as tmp_write_file: + image.to_jpeg_file(Path(tmp_write_file.name)) + with Path(tmp_file.name).open("rb") as tmp_read_file: + image_read_back = ImagePil.from_jpeg_file(tmp_read_file.name) + + assert image._image.tobytes() == image_read_back._image.tobytes() + + +class TestToPngFile: + @pytest.mark.parametrize("path", ["image/white_square.png"], ids=["png"]) + def test_should_save_png_file_by_str(self, path: str) -> None: + image = ImagePil.from_png_file(resolve_resource_path(path)) + + with NamedTemporaryFile() as tmp_file: + tmp_file.close() + with Path(tmp_file.name).open("wb") as tmp_write_file: + image.to_png_file(tmp_write_file.name) + with Path(tmp_file.name).open("rb") as tmp_read_file: + image_read_back = ImagePil.from_png_file(tmp_read_file.name) + + assert image._image.tobytes() == image_read_back._image.tobytes() + + @pytest.mark.parametrize("path", ["image/white_square.png"], ids=["png"]) + def test_should_save_png_file_by_path(self, path: str) -> None: + image = ImagePil.from_png_file(resolve_resource_path(path)) + + with NamedTemporaryFile() as tmp_file: + tmp_file.close() + with Path(tmp_file.name).open("wb") as tmp_write_file: + image.to_png_file(Path(tmp_write_file.name)) + with Path(tmp_file.name).open("rb") as tmp_read_file: + image_read_back = ImagePil.from_png_file(tmp_read_file.name) + + assert image._image.tobytes() == image_read_back._image.tobytes() + + +class TestReprJpeg: + @pytest.mark.parametrize( + "image", + [ImagePil.from_jpeg_file(resolve_resource_path("image/white_square.jpg"))], + ids=["jpg"], + ) + def test_should_return_bytes_if_image_is_jpeg(self, image: ImagePil) -> None: + assert isinstance(image._repr_jpeg_(), bytes) + + @pytest.mark.parametrize( + "image", + [ImagePil.from_png_file(resolve_resource_path("image/white_square.png"))], + ids=["png"], + ) + def test_should_return_none_if_image_is_not_jpeg(self, image: ImagePil) -> None: + assert image._repr_jpeg_() is None + + +class TestReprPng: + @pytest.mark.parametrize( + "image", + [ImagePil.from_png_file(resolve_resource_path("image/white_square.png"))], + ids=["png"], + ) + def test_should_return_bytes_if_image_is_png(self, image: ImagePil) -> None: + assert isinstance(image._repr_png_(), bytes) + + @pytest.mark.parametrize( + "image", + [ImagePil.from_jpeg_file(resolve_resource_path("image/white_square.jpg"))], + ids=["jpg"], + ) + def test_should_return_none_if_image_is_not_png(self, image: ImagePil) -> None: + assert image._repr_png_() is None + + +class TestResize: + @pytest.mark.parametrize( + ("image", "new_width", "new_height", "new_size"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/white_square.png")), + 2, + 3, + (2, 3), + ), + ], + ids=["(2, 3)"], + ) + def test_should_return_resized_image( + self, + image: ImagePil, + new_width: int, + new_height: int, + new_size: tuple[int, int], + ) -> None: + assert image.resize(new_width, new_height)._image.size == new_size + + +class TestConvertToGrayscale: + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/snapshot_heatmap.png")), + ImagePil.from_png_file(resolve_resource_path("image/snapshot_heatmap_grayscale.png")), + ), + ], + ids=["grayscale"], + ) + def test_convert_to_grayscale(self, image: ImagePil, expected: ImagePil) -> None: + grayscale_image = image.convert_to_grayscale() + assert grayscale_image == expected + + +class TestEQ: + def test_should_be_equal(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + image2 = ImagePil.from_png_file(resolve_resource_path("image/copy.png")) + assert image == image2 + + def test_should_not_be_equal(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + image2 = ImagePil.from_png_file(resolve_resource_path("image/white_square.png")) + assert image != image2 + + def test_should_raise(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + other = Table() + assert (image.__eq__(other)) is NotImplemented + + +class TestFlipVertically: + def test_should_flip_vertically(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + image2 = image.flip_vertically() + image3 = ImagePil.from_png_file(resolve_resource_path("image/flip_vertically.png")) + assert image != image2 + assert image2 == image3 + + def test_should_be_original(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + image2 = image.flip_vertically().flip_vertically() + assert image == image2 + + +class TestFlipHorizontally: + def test_should_flip_horizontally(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + image2 = image.flip_horizontally() + image3 = ImagePil.from_png_file(resolve_resource_path("image/flip_horizontally.png")) + assert image != image2 + assert image2 == image3 + + def test_should_be_original(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/original.png")) + image2 = image.flip_horizontally().flip_horizontally() + assert image == image2 + + +class TestAdjustContrast: + @pytest.mark.parametrize("factor", [0.75, 5], ids=["small factor", "large factor"]) + def test_should_adjust_contrast(self, factor: float) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/contrast/to_adjust_contrast.png")) + image2 = image.adjust_contrast(factor) + image3 = ImagePil.from_png_file( + resolve_resource_path("image/contrast/contrast_adjusted_by_" + str(factor) + ".png"), + ) + assert image != image2 + assert image2 == image3 + + def test_should_not_adjust_contrast(self) -> None: + with pytest.warns( + UserWarning, + match="Contrast adjustment factor is 1.0, this will not make changes to the image.", + ): + image = ImagePil.from_png_file(resolve_resource_path("image/contrast/to_adjust_contrast.png")) + image2 = image.adjust_contrast(1) + assert image == image2 + + def test_should_raise(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + image.adjust_contrast(-1) + + +class TestBrightness: + @pytest.mark.parametrize("factor", [0.5, 10], ids=["small factor", "large factor"]) + def test_should_adjust_brightness(self, factor: float) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + image2 = image.adjust_brightness(factor) + image3 = ImagePil.from_png_file(resolve_resource_path("image/brightness/brightened_by_" + str(factor) + ".png")) + assert image != image2 + assert image2 == image3 + + def test_should_not_brighten(self) -> None: + with pytest.warns( + UserWarning, + match="Brightness adjustment factor is 1.0, this will not make changes to the image.", + ): + image = ImagePil.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + image2 = image.adjust_brightness(1) + assert image == image2 + + def test_should_raise(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/brightness/to_brighten.png")) + with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + image.adjust_brightness(-1) + + +class TestInvertColors: + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/original.png")), + ImagePil.from_png_file(resolve_resource_path("image/inverted_colors_original.png")), + ), + ], + ids=["invert-colors"], + ) + def test_should_invert_colors(self, image: ImagePil, expected: ImagePil) -> None: + image = image.invert_colors() + assert image == expected + + +class TestColorAdjust: + @pytest.mark.parametrize( + ("image", "factor", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/original.png")), + 2, + ImagePil.from_png_file(resolve_resource_path("image/adjusted_colors/by_2.png")), + ), + ( + ImagePil.from_png_file(resolve_resource_path("image/original.png")), + 0.5, + ImagePil.from_png_file(resolve_resource_path("image/adjusted_colors/by_0.5.png")), + ), + ( + ImagePil.from_png_file(resolve_resource_path("image/original.png")), + 0, + ImagePil.from_png_file(resolve_resource_path("image/adjusted_colors/by_0.png")), + ), + ], + ids=["add color", "remove color", "remove all color"], + ) + def test_should_adjust_colors(self, image: ImagePil, factor: float, expected: ImagePil) -> None: + image = image.adjust_color_balance(factor) + assert image == expected + + @pytest.mark.parametrize( + ("image", "factor"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/original.png")), + -1, + ), + ], + ids=["negative"], + ) + def test_should_throw(self, image: ImagePil, factor: float) -> None: + with pytest.raises(OutOfBoundsError, match=rf"factor \(={factor}\) is not inside \[0, \u221e\)."): + image.adjust_color_balance(factor) + + @pytest.mark.parametrize( + ("image", "factor"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/original.png")), + 1, + ), + ], + ids=["no change"], + ) + def test_should_warn(self, image: ImagePil, factor: float) -> None: + with pytest.warns( + UserWarning, + match="Color adjustment factor is 1.0, this will not make changes to the image.", + ): + adjust = image.adjust_color_balance(factor) + assert adjust == image + + +class TestAddGaussianNoise: + @pytest.mark.parametrize( + ("image", "standard_deviation"), + [ + (ImagePil.from_png_file(resolve_resource_path("image/boy.png")), 0.0), + (ImagePil.from_png_file(resolve_resource_path("image/boy.png")), 0.7), + (ImagePil.from_png_file(resolve_resource_path("image/boy.png")), 2.5), + ], + ids=["minimum noise", "some noise", "very noisy"], + ) + def test_should_add_noise(self, image: ImagePil, standard_deviation: float) -> None: + expected = ImagePil.from_png_file( + resolve_resource_path("image/noise/noise_" + str(standard_deviation) + ".png"), + ) + image = image.add_gaussian_noise(standard_deviation) + + assert image == expected + + @pytest.mark.parametrize( + ("image", "standard_deviation"), + [(ImagePil.from_png_file(resolve_resource_path("image/boy.png")), -1)], + ids=["sigma below zero"], + ) + def test_should_raise_standard_deviation(self, image: ImagePil, standard_deviation: float) -> None: + with pytest.raises( + OutOfBoundsError, + match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.", + ): + image.add_gaussian_noise(standard_deviation) + + +class TestBlur: + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/boy.png")), + ImagePil.from_png_file(resolve_resource_path("image/blurredBoy.png")), + ), + ], + ids=["blur"], + ) + def test_should_return_blurred_image(self, image: ImagePil, expected: ImagePil) -> None: + image = image.blur(2) + assert image == expected + + +class TestCrop: + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/white.png")), + ImagePil.from_png_file(resolve_resource_path("image/whiteCropped.png")), + ), + ], + ids=["crop"], + ) + def test_should_return_cropped_image(self, image: ImagePil, expected: ImagePil) -> None: + image = image.crop(0, 0, 100, 100) + assert image == expected + + +class TestSharpen: + @pytest.mark.parametrize("factor", [-1, 0.5, 10], ids=["negative factor", "small factor", "large factor"]) + def test_should_sharpen(self, factor: float) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/sharpen/to_sharpen.png")) + image2 = image.sharpen(factor) + # image2.to_png_file(resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png")) + assert image != image2 + assert image2 == ImagePil.from_png_file( + resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png"), + ) + + def test_should_not_sharpen(self) -> None: + image = ImagePil.from_png_file(resolve_resource_path("image/sharpen/to_sharpen.png")) + image2 = image.sharpen(1) + assert image == image2 + + +class TestRotate: + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/snapshot_boxplot.png")), + ImagePil.from_png_file(resolve_resource_path("image/snapshot_boxplot_right_rotation.png")), + ), + ], + ids=["rotate-clockwise"], + ) + def test_should_return_clockwise_rotated_image(self, image: ImagePil, expected: ImagePil) -> None: + image = image.rotate_right() + assert image == expected + + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/snapshot_boxplot.png")), + ImagePil.from_png_file(resolve_resource_path("image/snapshot_boxplot_left_rotation.png")), + ), + ], + ids=["rotate-counter-clockwise"], + ) + def test_should_return_counter_clockwise_rotated_image(self, image: ImagePil, expected: ImagePil) -> None: + image = image.rotate_left() + assert image == expected + + +class TestFindEdges: + @pytest.mark.parametrize( + ("image", "expected"), + [ + ( + ImagePil.from_png_file(resolve_resource_path("image/boy.png")), + ImagePil.from_png_file(resolve_resource_path("image/edgyBoy.png")), + ), + ], + ids=["find_edges"], + ) + def test_should_return_edges_of_image(self, image: ImagePil, expected: ImagePil) -> None: + image = image.find_edges() + assert image == expected diff --git a/tests/safeds/data/tabular/containers/_column/test_plot_boxplot.py b/tests/safeds/data/tabular/containers/_column/test_plot_boxplot.py index 54b57b74c..ce9e85ee2 100644 --- a/tests/safeds/data/tabular/containers/_column/test_plot_boxplot.py +++ b/tests/safeds/data/tabular/containers/_column/test_plot_boxplot.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from safeds.exceptions import NonNumericColumnError @@ -9,7 +9,7 @@ def test_should_match_snapshot() -> None: table = Table({"A": [1, 2, 3]}) current = table.get_column("A").plot_boxplot() - snapshot = Image.from_png_file(resolve_resource_path("./image/snapshot_boxplot.png")) + snapshot = ImagePil.from_png_file(resolve_resource_path("./image/snapshot_boxplot.png")) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot._image.tobytes() == current._image.tobytes() diff --git a/tests/safeds/data/tabular/containers/_column/test_plot_histogram.py b/tests/safeds/data/tabular/containers/_column/test_plot_histogram.py index fe4157b6a..128ac598e 100644 --- a/tests/safeds/data/tabular/containers/_column/test_plot_histogram.py +++ b/tests/safeds/data/tabular/containers/_column/test_plot_histogram.py @@ -1,4 +1,4 @@ -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from tests.helpers import resolve_resource_path @@ -7,7 +7,7 @@ def test_should_match_snapshot_numeric() -> None: table = Table({"A": [1, 2, 3]}) current = table.get_column("A").plot_histogram() - snapshot = Image.from_png_file(resolve_resource_path("./image/snapshot_histogram_numeric.png")) + snapshot = ImagePil.from_png_file(resolve_resource_path("./image/snapshot_histogram_numeric.png")) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot._image.tobytes() == current._image.tobytes() @@ -17,5 +17,5 @@ def test_should_match_snapshot_numeric() -> None: def test_should_match_snapshot_str() -> None: table = Table({"A": ["A", "B", "Apple"]}) current = table.get_column("A").plot_histogram() - snapshot = Image.from_png_file(resolve_resource_path("./image/snapshot_histogram_str.png")) + snapshot = ImagePil.from_png_file(resolve_resource_path("./image/snapshot_histogram_str.png")) assert snapshot._image.tobytes() == current._image.tobytes() diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_boxplots.py b/tests/safeds/data/tabular/containers/_table/test_plot_boxplots.py index d8f615ef7..a1c99acb8 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_boxplots.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_boxplots.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from safeds.exceptions import NonNumericColumnError @@ -23,7 +23,7 @@ ) def test_should_match_snapshot(table: Table, path: str) -> None: current = table.plot_boxplots() - snapshot = Image.from_png_file(resolve_resource_path(path)) + snapshot = ImagePil.from_png_file(resolve_resource_path(path)) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot._image.tobytes() == current._image.tobytes() diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_correlation_heatmap.py b/tests/safeds/data/tabular/containers/_table/test_plot_correlation_heatmap.py index 902a184bd..98ffa15de 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_correlation_heatmap.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_correlation_heatmap.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from tests.helpers import resolve_resource_path @@ -22,7 +22,7 @@ def test_should_match_snapshot(table: Table, path: str) -> None: current = table.plot_correlation_heatmap() else: current = table.plot_correlation_heatmap() - snapshot = Image.from_png_file(resolve_resource_path(path)) + snapshot = ImagePil.from_png_file(resolve_resource_path(path)) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot == current diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_histograms.py b/tests/safeds/data/tabular/containers/_table/test_plot_histograms.py index aa9f413bc..80aa47e15 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_histograms.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_histograms.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from tests.helpers import resolve_resource_path @@ -25,7 +25,7 @@ ) def test_should_match_snapshot(table: Table, path: str) -> None: current = table.plot_histograms() - snapshot = Image.from_png_file(resolve_resource_path(path)) + snapshot = ImagePil.from_png_file(resolve_resource_path(path)) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot == current assert assertion diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py b/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py index 93365ec76..07f1b6cc3 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from safeds.exceptions import UnknownColumnNameError @@ -9,7 +9,7 @@ def test_should_match_snapshot() -> None: table = Table({"A": [1, 2, 3], "B": [2, 4, 7]}) current = table.plot_lineplot("A", "B") - snapshot = Image.from_png_file(resolve_resource_path("./image/snapshot_lineplot.png")) + snapshot = ImagePil.from_png_file(resolve_resource_path("./image/snapshot_lineplot.png")) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot._image.tobytes() == current._image.tobytes() diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py b/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py index f07763fb8..de2721d5d 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.image.containers import Image +from safeds.data.image.containers import ImagePil from safeds.data.tabular.containers import Table from safeds.exceptions import UnknownColumnNameError @@ -9,7 +9,7 @@ def test_should_match_snapshot() -> None: table = Table({"A": [1, 2, 3], "B": [2, 4, 7]}) current = table.plot_scatterplot("A", "B") - snapshot = Image.from_png_file(resolve_resource_path("./image/snapshot_scatterplot.png")) + snapshot = ImagePil.from_png_file(resolve_resource_path("./image/snapshot_scatterplot.png")) # Inlining the expression into the assert causes pytest to hang if the assertion fails when run from PyCharm. assertion = snapshot._image.tobytes() == current._image.tobytes() From 0bad2da43b673820ec4401855757cee56a1e1f39 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexander=20Gr=C3=A9us?= Date: Fri, 24 Nov 2023 04:26:15 +0100 Subject: [PATCH 02/29] test: Changed image tests to skip all cuda tests if cuda not available feat: Added test implementation of CNN Layers --- src/safeds/ml/nn/__init__.py | 0 src/safeds/ml/nn/_cnn_layer.py | 69 +++++++++++++++++++ src/safeds/ml/nn/_model.py | 60 ++++++++++++++++ .../data/image/containers/test_image.py | 45 ++++++++++-- 4 files changed, 169 insertions(+), 5 deletions(-) create mode 100644 src/safeds/ml/nn/__init__.py create mode 100644 src/safeds/ml/nn/_cnn_layer.py create mode 100644 src/safeds/ml/nn/_model.py diff --git a/src/safeds/ml/nn/__init__.py b/src/safeds/ml/nn/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/safeds/ml/nn/_cnn_layer.py b/src/safeds/ml/nn/_cnn_layer.py new file mode 100644 index 000000000..cb6a3af59 --- /dev/null +++ b/src/safeds/ml/nn/_cnn_layer.py @@ -0,0 +1,69 @@ +import torch.nn as nn + + +class Layer(): + pass + + +class Conv2d_Layer(Layer): + + def __init__(self, input_channel, output_channel, kernel_size, stride, padding): + self._input_channel, self._output_channel, self._kernel_size, self._stride, self._padding = input_channel, output_channel, kernel_size, stride, padding + + def _create_pytorch_layer(self): + return PT_Conv2d_Layer(self._input_channel, self._output_channel, self._kernel_size, self._stride, + self._padding) + + +class ConvTranspose2d_Layer(Layer): + + def __init__(self, input_channel, output_channel, kernel_size, stride, padding, output_padding): + self._input_channel, self._output_channel, self._kernel_size, self._stride, self._padding, self._output_padding = input_channel, output_channel, kernel_size, stride, padding, output_padding + + def _create_pytorch_layer(self): + return PT_ConvTranspose2d_Layer(self._input_channel, self._output_channel, self._kernel_size, self._stride, + self._padding, self._output_padding) + + +class MaxPool2d_Layer(Layer): + + def __init__(self, kernel_size, stride, padding): + self._kernel_size, self._stride, self._padding = kernel_size, stride, padding + + def _create_pytorch_layer(self): + return PT_MaxPool2d_Layer(self._kernel_size, self._stride, self._padding) + + +class PT_Conv2d_Layer(nn.Module): + def __init__(self, input_dim, output_dim, kernel_size, stride, padding): + super().__init__() + self._input_dim, self._output_dim, self._kernel_size, self._stride, self._padding = input_dim, output_dim, kernel_size, stride, padding + self.conv2d = nn.Conv2d(in_channels=self._input_dim, out_channels=self._output_dim, + kernel_size=self._kernel_size, stride=self._stride, padding=self._padding) + + def forward(self, x): + out = self.conv2d(x) + return out + + +class PT_ConvTranspose2d_Layer(nn.Module): + def __init__(self, input_dim, output_dim, kernel_size, stride, padding, output_padding): + super().__init__() + self._input_dim, self._output_dim, self._kernel_size, self._stride, self._padding, self._output_padding = input_dim, output_dim, kernel_size, stride, padding, output_padding + self.convtrans2d = nn.ConvTranspose2d(in_channels=self._input_dim, out_channels=self._output_dim, + kernel_size=self._kernel_size, stride=self._stride, padding=self._padding, output_padding=output_padding) + + def forward(self, x): + out = self.convtrans2d(x) + return out + + +class PT_MaxPool2d_Layer(nn.Module): + def __init__(self, kernel_size, stride, padding): + super().__init__() + self._kernel_size, self._stride, self._padding = kernel_size, stride, padding + self.maxpool2d = nn.MaxPool2d(kernel_size=self._kernel_size, stride=self._stride, padding=self._padding) + + def forward(self, x): + out = self.maxpool2d(x) + return out diff --git a/src/safeds/ml/nn/_model.py b/src/safeds/ml/nn/_model.py new file mode 100644 index 000000000..7729e764a --- /dev/null +++ b/src/safeds/ml/nn/_model.py @@ -0,0 +1,60 @@ +import pandas as pd +import numpy as np +import torch +import time +import torch.nn as nn +from torch.utils.data import DataLoader +from safeds.exceptions import ColumnSizeError, DuplicateColumnNameError +from safeds.ml.nn._cnn_layer import Layer + + +class Model(): + def __init__(self, layers: list): + self._model = PyTorchModel(layers) + + def from_layers(self, layers: list): + pass + + # this is just a demo function + def model_forward(self, data: DataLoader): + for batch in iter(data): + inputs, labels = batch + inputs = inputs.to(torch.float32) + self._model(inputs) + + def train(self, images: torch.Tensor, batches: int, epochs: int, learningrate: float): + start_time = time.time() + criterion = nn.MSELoss() + optimizer = torch.optim.Adam(self._model.parameters(), lr=learningrate) + + for epoch in range(epochs): + # for batch in iter(train_loader): + for batch in range(images.size(dim=0).item() / batches): + # inputs, labels = batch + inputs = images + optimizer.zero_grad() + + labels = labels.to(torch.float32) + inputs = inputs.to(torch.float32) + outputs = self._model(inputs) + loss = criterion(outputs, labels) + loss.backward() + optimizer.step() + print(f'Epoch: {epoch + 1:2} Loss {loss.item():10.8f}') + print(f'\nDuration: {time.time() - start_time:.0f} seconds') + + +class PyTorchModel(nn.Module): + def __init__(self, LayerListe: list[Layer]): + super(PyTorchModel, self).__init__() + layers = [] + for layer in LayerListe: + layers.append(layer._create_pytorch_layer()) + + self._layerliste = nn.ModuleList(layers) + + def forward(self, x): + out = x + for layer in self._layerliste: + out = layer(out) + return out diff --git a/tests/safeds/data/image/containers/test_image.py b/tests/safeds/data/image/containers/test_image.py index 10a3ad5bc..13c9171c7 100644 --- a/tests/safeds/data/image/containers/test_image.py +++ b/tests/safeds/data/image/containers/test_image.py @@ -8,13 +8,21 @@ from safeds.exceptions import OutOfBoundsError from tests.helpers import resolve_resource_path +_device_cuda = torch.device("cuda") +_device_cpu = torch.device("cpu") + def _test_devices() -> list[torch.device]: - return [torch.device("cpu")] + ([torch.device("cuda")] if torch.cuda.is_available() else []) + return [_device_cpu, _device_cuda] def _test_devices_ids() -> list[str]: - return ["cpu"] + (["cuda"] if torch.cuda.is_available() else []) + return ["cpu", "cuda"] + + +def _skip_if_device_not_available(device) -> None: + if device == _device_cuda and torch.cuda.is_available(): + pytest.skip("This test requires cuda") @pytest.mark.parametrize( @@ -29,6 +37,7 @@ class TestFromFile: ids=["jpg", "jpg_Path", "png", "png_Path"], ) def test_should_load_from_file(self, path: str | Path, device) -> None: + _skip_if_device_not_available(device) Image.from_file(resolve_resource_path(path), device) @pytest.mark.parametrize( @@ -38,6 +47,7 @@ def test_should_load_from_file(self, path: str | Path, device) -> None: ids=["missing_file_jpg", "missing_file_jpg_Path", "missing_file_png", "missing_file_png_Path"], ) def test_should_raise_if_file_not_found(self, path: str | Path, device) -> None: + _skip_if_device_not_available(device) with pytest.raises(FileNotFoundError): Image.from_file(resolve_resource_path(path), device) @@ -64,6 +74,7 @@ class TestProperties: ids=["[1,1].jpg", "[640,480].png"], ) def test_should_return_image_properties(self, image_path: str, width: int, height: int, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) assert image.width == width assert image.height == height @@ -75,6 +86,7 @@ class TestEQ: "device", _test_devices(), ids=_test_devices_ids() ) def test_should_be_equal(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = Image.from_file(resolve_resource_path("image/copy.png"), device) assert image == image2 @@ -83,19 +95,20 @@ def test_should_be_equal(self, device) -> None: "device", _test_devices(), ids=_test_devices_ids() ) def test_should_not_be_equal(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = Image.from_file(resolve_resource_path("image/white_square.png"), device) assert image != image2 - @pytest.mark.skipif(not torch.cuda.is_available(), reason="requires cuda") def test_should_be_equal_different_devices(self) -> None: + _skip_if_device_not_available(_device_cuda) image = Image.from_file(resolve_resource_path("image/original.png"), torch.device("cpu")) image2 = Image.from_file(resolve_resource_path("image/copy.png"), torch.device("cuda")) assert image == image2 assert image2 == image - @pytest.mark.skipif(not torch.cuda.is_available(), reason="requires cuda") def test_should_not_be_equal_different_devices(self) -> None: + _skip_if_device_not_available(_device_cuda) image = Image.from_file(resolve_resource_path("image/original.png"), torch.device("cpu")) image2 = Image.from_file(resolve_resource_path("image/white_square.png"), torch.device("cuda")) assert image != image2 @@ -105,6 +118,7 @@ def test_should_not_be_equal_different_devices(self) -> None: "device", _test_devices(), ids=_test_devices_ids() ) def test_should_raise(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) other = Table() assert (image.__eq__(other)) is NotImplemented @@ -132,6 +146,7 @@ def test_should_return_resized_image( new_height: int, device ) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/white_square.png"), device) new_image = image.resize(new_width, new_height) assert new_image.width == new_width @@ -143,8 +158,8 @@ def test_should_return_resized_image( class TestDevices: - @pytest.mark.skipif(not torch.cuda.is_available(), reason="requires cuda") def test_should_change_device(self): + _skip_if_device_not_available(_device_cuda) image = Image.from_file(resolve_resource_path("image/original.png"), torch.device("cpu")) new_device = torch.device("cuda", 0) assert image.set_device(new_device).device == new_device @@ -165,6 +180,7 @@ class TestConvertToGrayscale: ids=["grayscale"], ) def test_convert_to_grayscale(self, image_path: str, expected_path: str, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) expected = Image.from_file(resolve_resource_path(expected_path), device) grayscale_image = image.convert_to_grayscale() @@ -186,6 +202,7 @@ class TestCrop: ids=["crop"], ) def test_should_return_cropped_image(self, image_path: str, expected_path: str, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) expected = Image.from_file(resolve_resource_path(expected_path), device) image = image.crop(0, 0, 100, 100) @@ -197,6 +214,7 @@ def test_should_return_cropped_image(self, image_path: str, expected_path: str, ) class TestFlipVertically: def test_should_flip_vertically(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_vertically() image3 = Image.from_file(resolve_resource_path("image/flip_vertically.png"), device) @@ -204,6 +222,7 @@ def test_should_flip_vertically(self, device) -> None: assert image2 == image3 def test_should_be_original(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_vertically().flip_vertically() assert image == image2 @@ -214,6 +233,7 @@ def test_should_be_original(self, device) -> None: ) class TestFlipHorizontally: def test_should_flip_horizontally(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_horizontally() image3 = Image.from_file(resolve_resource_path("image/flip_horizontally.png"), device) @@ -221,6 +241,7 @@ def test_should_flip_horizontally(self, device) -> None: assert image2 == image3 def test_should_be_original(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/original.png"), device) image2 = image.flip_horizontally().flip_horizontally() assert image == image2 @@ -232,6 +253,7 @@ def test_should_be_original(self, device) -> None: class TestBrightness: @pytest.mark.parametrize("factor", [0.5, 10], ids=["small factor", "large factor"]) def test_should_adjust_brightness(self, factor: float, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/brightness/to_brighten.png"), device) image2 = image.adjust_brightness(factor) image3 = Image.from_file(resolve_resource_path("image/brightness/brightened_by_" + str(factor) + ".png"), @@ -240,6 +262,7 @@ def test_should_adjust_brightness(self, factor: float, device) -> None: assert image2 == image3 def test_should_not_brighten(self, device) -> None: + _skip_if_device_not_available(device) with pytest.warns( UserWarning, match="Brightness adjustment factor is 1.0, this will not make changes to the image.", @@ -249,6 +272,7 @@ def test_should_not_brighten(self, device) -> None: assert image == image2 def test_should_raise(self, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/brightness/to_brighten.png"), device) with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): image.adjust_brightness(-1) @@ -268,6 +292,7 @@ class TestAddGaussianNoise: ids=["minimum noise", "some noise", "very noisy"], ) def test_should_add_noise(self, image_path: str, standard_deviation: float, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) expected = Image.from_file( resolve_resource_path("image/noise/noise_" + str(standard_deviation) + ".png"), device @@ -288,6 +313,7 @@ def test_should_add_noise(self, image_path: str, standard_deviation: float, devi ids=["sigma below zero"], ) def test_should_raise_standard_deviation(self, image_path: str, standard_deviation: float, device) -> None: + _skip_if_device_not_available(device) with pytest.raises( OutOfBoundsError, match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.", @@ -302,6 +328,7 @@ def test_should_raise_standard_deviation(self, image_path: str, standard_deviati class TestAdjustContrast: @pytest.mark.parametrize("factor", [0.75, 5], ids=["small factor", "large factor"]) def test_should_adjust_contrast(self, factor: float, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/contrast/to_adjust_contrast.png"), device) image2 = image.adjust_contrast(factor) image3 = Image.from_file( @@ -318,6 +345,7 @@ def test_should_adjust_contrast(self, factor: float, device) -> None: assert image2 == image3 def test_should_not_adjust_contrast(self, device) -> None: + _skip_if_device_not_available(device) with pytest.warns( UserWarning, match="Contrast adjustment factor is 1.0, this will not make changes to the image.", @@ -342,6 +370,7 @@ class TestBlur: ids=["blur"], ) def test_should_return_blurred_image(self, image_path: str, expected_path: str, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device=device) expected = Image.from_file(resolve_resource_path(expected_path), device=device) image = image.blur(2) @@ -359,6 +388,7 @@ def test_should_return_blurred_image(self, image_path: str, expected_path: str, class TestSharpen: @pytest.mark.parametrize("factor", [0, 0.5, 10], ids=["zero factor", "small factor", "large factor"]) def test_should_sharpen(self, factor: float, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path("image/sharpen/to_sharpen.png"), device) image2 = image.sharpen(factor) # image2.to_png_file(resolve_resource_path("image/sharpen/sharpened_by_" + str(factor) + ".png")) @@ -368,10 +398,12 @@ def test_should_sharpen(self, factor: float, device) -> None: ) def test_should_raise_negative_sharpen(self, device) -> None: + _skip_if_device_not_available(device) with pytest.raises(OutOfBoundsError): Image.from_file(resolve_resource_path("image/sharpen/to_sharpen.png"), device).sharpen(-1.0) def test_should_not_sharpen(self, device) -> None: + _skip_if_device_not_available(device) with pytest.warns(UserWarning, match="Sharpen factor is 1.0, this will not make changes to the image."): image = Image.from_file(resolve_resource_path("image/sharpen/to_sharpen.png"), device) image2 = image.sharpen(1) @@ -393,6 +425,7 @@ class TestInvertColors: ids=["invert-colors"], ) def test_should_invert_colors(self, image_path: str, expected_path: str, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) expected = Image.from_file(resolve_resource_path(expected_path), device) image = image.invert_colors() @@ -414,6 +447,7 @@ class TestRotate: ids=["rotate-clockwise"], ) def test_should_return_clockwise_rotated_image(self, image_path: str, expected_path: str, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) expected = Image.from_file(resolve_resource_path(expected_path), device) image = image.rotate_right() @@ -430,6 +464,7 @@ def test_should_return_clockwise_rotated_image(self, image_path: str, expected_p ids=["rotate-counter-clockwise"], ) def test_should_return_counter_clockwise_rotated_image(self, image_path: str, expected_path: str, device) -> None: + _skip_if_device_not_available(device) image = Image.from_file(resolve_resource_path(image_path), device) expected = Image.from_file(resolve_resource_path(expected_path), device) image = image.rotate_left() From 4266ad5a18400b59335d5befdab63f2289ab0e1c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexander=20Gr=C3=A9us?= Date: Fri, 1 Dec 2023 03:26:38 +0100 Subject: [PATCH 03/29] test: All pytorch image tests now use syrupy --- poetry.lock | 3447 +++++++++-------- pyproject.toml | 7 +- src/safeds/data/image/containers/_image.py | 55 +- tests/conftest.py | 7 +- ...st_should_add_noise[minimum noise-cpu].png | Bin 0 -> 206196 bytes ...t_should_add_noise[minimum noise-cuda].png | Bin 0 -> 206196 bytes ....test_should_add_noise[some noise-cpu].png | Bin 0 -> 491385 bytes ...test_should_add_noise[some noise-cuda].png | Bin 0 -> 491385 bytes ....test_should_add_noise[very noisy-cpu].png | Bin 0 -> 290474 bytes ...test_should_add_noise[very noisy-cuda].png | Bin 0 -> 290474 bytes ...uld_adjust_contrast[large factor-cpu].png} | Bin ...uld_adjust_contrast[large factor-cuda].png | Bin 0 -> 75212 bytes ...ould_adjust_contrast[small factor-cpu].png | Bin 0 -> 186496 bytes ...uld_adjust_contrast[small factor-cuda].png | Bin 0 -> 186496 bytes ..._should_return_blurred_image[blur-cpu].png | Bin 0 -> 150723 bytes ...should_return_blurred_image[blur-cuda].png | Bin 0 -> 150723 bytes ...d_adjust_brightness[large factor-cpu].png} | Bin ...d_adjust_brightness[large factor-cuda].png | Bin 0 -> 8413 bytes ...d_adjust_brightness[small factor-cpu].png} | Bin ...d_adjust_brightness[small factor-cuda].png | Bin 0 -> 154389 bytes ...st_convert_to_grayscale[grayscale-cpu].png | Bin 0 -> 98516 bytes ...t_convert_to_grayscale[grayscale-cuda].png | Bin 0 -> 98516 bytes ...should_return_cropped_image[crop-cpu].png} | Bin ...should_return_cropped_image[crop-cuda].png | Bin 0 -> 5925 bytes ...ly.test_should_flip_horizontally[cpu].png} | Bin ...ly.test_should_flip_horizontally[cuda].png | Bin 0 -> 201613 bytes ...ally.test_should_flip_vertically[cpu].png} | Bin ...ally.test_should_flip_vertically[cuda].png | Bin 0 -> 201418 bytes ...hould_invert_colors[invert-colors-cpu].png | Bin 0 -> 206187 bytes ...ould_invert_colors[invert-colors-cuda].png | Bin 0 -> 206187 bytes ...e_rotated_image[rotate-clockwise-cpu].png} | Bin ...e_rotated_image[rotate-clockwise-cuda].png | Bin 0 -> 209548 bytes ...d_image[rotate-counter-clockwise-cpu].png} | Bin ...d_image[rotate-counter-clockwise-cuda].png | Bin 0 -> 209551 bytes ...test_should_sharpen[large factor-cpu].png} | Bin ...test_should_sharpen[large factor-cuda].png | Bin 0 -> 268339 bytes ...test_should_sharpen[small factor-cpu].png} | Bin ...test_should_sharpen[small factor-cuda].png | Bin 0 -> 197962 bytes ...n.test_should_sharpen[zero factor-cpu].png | Bin 0 -> 183479 bytes ....test_should_sharpen[zero factor-cuda].png | Bin 0 -> 183479 bytes ...e.test_should_add_noise[minimum noise].png | Bin ...oise.test_should_add_noise[some noise].png | Bin ...oise.test_should_add_noise[very noisy].png | Bin ...should_adjust_brightness[large factor].png | Bin 0 -> 8413 bytes ...should_adjust_brightness[small factor].png | Bin 0 -> 154389 bytes ...t_should_adjust_contrast[large factor].png | Bin 0 -> 75212 bytes ...t_should_adjust_contrast[small factor].png | Bin ...test_should_return_blurred_image[blur].png | Bin ...t.test_should_adjust_colors[add color].png | Bin ...should_adjust_colors[remove all color].png | Bin ...est_should_adjust_colors[remove color].png | Bin ...scale.test_convert_to_grayscale[plane].png | Bin ...test_should_return_cropped_image[crop].png | Bin 0 -> 5925 bytes ...ould_return_edges_of_image[find_edges].png | Bin ...y.test_should_flip_horizontally[plane].png | Bin 0 -> 201613 bytes ...lly.test_should_flip_vertically[plane].png | Bin 0 -> 201418 bytes ...st_should_invert_colors[invert-colors].png | Bin ...ckwise_rotated_image[rotate-clockwise].png | Bin 0 -> 209548 bytes ...otated_image[rotate-counter-clockwise].png | Bin 0 -> 209551 bytes ...rpen.test_should_sharpen[large factor].png | Bin 0 -> 268339 bytes ...n.test_should_sharpen[negative factor].png | Bin ...rpen.test_should_sharpen[small factor].png | Bin 0 -> 197962 bytes .../data/image/containers/test_image.py | 320 +- .../data/image/containers/test_image_pil.py | 464 +-- 64 files changed, 2211 insertions(+), 2089 deletions(-) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[minimum noise-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[minimum noise-cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[some noise-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[some noise-cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[very noisy-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[very noisy-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestAdjustContrast.test_should_adjust_contrast[large factor].png => TestAdjustContrast.test_should_adjust_contrast[large factor-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAdjustContrast.test_should_adjust_contrast[large factor-cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAdjustContrast.test_should_adjust_contrast[small factor-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestAdjustContrast.test_should_adjust_contrast[small factor-cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestBlur.test_should_return_blurred_image[blur-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestBlur.test_should_return_blurred_image[blur-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestAdjustBrightness.test_should_adjust_brightness[large factor].png => TestBrightness.test_should_adjust_brightness[large factor-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestBrightness.test_should_adjust_brightness[large factor-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestAdjustBrightness.test_should_adjust_brightness[small factor].png => TestBrightness.test_should_adjust_brightness[small factor-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestBrightness.test_should_adjust_brightness[small factor-cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestConvertToGrayscale.test_convert_to_grayscale[grayscale-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestConvertToGrayscale.test_convert_to_grayscale[grayscale-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestCrop.test_should_return_cropped_image[crop].png => TestCrop.test_should_return_cropped_image[crop-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestCrop.test_should_return_cropped_image[crop-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestFlipHorizontally.test_should_flip_horizontally[plane].png => TestFlipHorizontally.test_should_flip_horizontally[cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestFlipHorizontally.test_should_flip_horizontally[cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestFlipVertically.test_should_flip_vertically[plane].png => TestFlipVertically.test_should_flip_vertically[cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestFlipVertically.test_should_flip_vertically[cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestInvertColors.test_should_invert_colors[invert-colors-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestInvertColors.test_should_invert_colors[invert-colors-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestRotate.test_should_return_clockwise_rotated_image[rotate-clockwise].png => TestRotate.test_should_return_clockwise_rotated_image[rotate-clockwise-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestRotate.test_should_return_clockwise_rotated_image[rotate-clockwise-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestRotate.test_should_return_counter_clockwise_rotated_image[rotate-counter-clockwise].png => TestRotate.test_should_return_counter_clockwise_rotated_image[rotate-counter-clockwise-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestRotate.test_should_return_counter_clockwise_rotated_image[rotate-counter-clockwise-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestSharpen.test_should_sharpen[large factor].png => TestSharpen.test_should_sharpen[large factor-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestSharpen.test_should_sharpen[large factor-cuda].png rename tests/safeds/data/image/containers/__snapshots__/test_image/{TestSharpen.test_should_sharpen[small factor].png => TestSharpen.test_should_sharpen[small factor-cpu].png} (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestSharpen.test_should_sharpen[small factor-cuda].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestSharpen.test_should_sharpen[zero factor-cpu].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image/TestSharpen.test_should_sharpen[zero factor-cuda].png rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestAddGaussianNoise.test_should_add_noise[minimum noise].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestAddGaussianNoise.test_should_add_noise[some noise].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestAddGaussianNoise.test_should_add_noise[very noisy].png (100%) create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image_pil/TestAdjustBrightness.test_should_adjust_brightness[large factor].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image_pil/TestAdjustBrightness.test_should_adjust_brightness[small factor].png create mode 100644 tests/safeds/data/image/containers/__snapshots__/test_image_pil/TestAdjustContrast.test_should_adjust_contrast[large factor].png rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestAdjustContrast.test_should_adjust_contrast[small factor].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestBlur.test_should_return_blurred_image[blur].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestColorAdjust.test_should_adjust_colors[add color].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestColorAdjust.test_should_adjust_colors[remove all color].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => test_image_pil}/TestColorAdjust.test_should_adjust_colors[remove color].png (100%) rename tests/safeds/data/image/containers/__snapshots__/{test_image => 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pillow = ">=9.5,<11.0" scikit-learn = "^1.2.0" -seaborn = "^0.12.2" +seaborn = "^0.13.0" openpyxl = "^3.1.2" scikit-image = ">=0.21,<0.23" levenshtein = ">=0.21.1,<0.24.0" torch = {version = "~2.0.0", source = "torch_cuda118"} torchvision = {version = "<0.16.0", source = "torch_cuda118"} +syrupy = "^4.6.0" [tool.poetry.group.dev.dependencies] pytest = "^7.2.1" diff --git a/src/safeds/data/image/containers/_image.py b/src/safeds/data/image/containers/_image.py index 6ef897249..a2be2bab6 100644 --- a/src/safeds/data/image/containers/_image.py +++ b/src/safeds/data/image/containers/_image.py @@ -1,15 +1,17 @@ from __future__ import annotations +import io import warnings from pathlib import Path from typing import Any -from PIL.Image import open as pil_image_open import torch +import torch.nn.functional as F +from PIL.Image import open as pil_image_open from torch import Tensor from torch.types import Device from torchvision.transforms.v2 import PILToTensor, functional as F2 -import torch.nn.functional as F +from torchvision.utils import save_image from safeds.exceptions import OutOfBoundsError, ClosedBound @@ -25,6 +27,18 @@ def __init__(self, image_tensor: Tensor, device: Device) -> None: self._image_tensor: Tensor = image_tensor.to(device) # self._device = device + def _repr_jpeg_(self) -> bytes | None: + buffer = io.BytesIO() + save_image(self._image_tensor.to(torch.float32) / 255, buffer, format="jpeg") + buffer.seek(0) + return buffer.read() + + def _repr_png_(self) -> bytes | None: + buffer = io.BytesIO() + save_image(self._image_tensor.to(torch.float32) / 255, buffer, format="png") + buffer.seek(0) + return buffer.read() + @property def width(self) -> int: return self._image_tensor.size(dim=2) @@ -46,8 +60,8 @@ def set_device(self, device: Device) -> Image: def __eq__(self, other: Any) -> bool: if not isinstance(other, Image): return NotImplemented - return torch.all(torch.eq(self._image_tensor, other.set_device( - self.device)._image_tensor)).item() and self._image_tensor.size() == other._image_tensor.size() + return self._image_tensor.size() == other._image_tensor.size() and torch.all( + torch.eq(self._image_tensor, other.set_device(self.device)._image_tensor)).item() def resize(self, new_width: int, new_height: int) -> Image: return Image(F.interpolate(self._image_tensor.unsqueeze(dim=1), size=(new_height, new_width)).squeeze(dim=1), @@ -75,14 +89,20 @@ def adjust_brightness(self, factor: float) -> Image: UserWarning, stacklevel=2, ) - return Image(F2.adjust_brightness(self._image_tensor, factor * 1.0), device=self.device) + if self._image_tensor.size(dim=0) == 4: + return Image(torch.cat( + [F2.adjust_brightness(self._image_tensor[0:3], factor * 1.0), self._image_tensor[3].unsqueeze(dim=0)]), + device=self.device) + else: + return Image(F2.adjust_brightness(self._image_tensor, factor * 1.0), device=self.device) def add_gaussian_noise(self, standard_deviation: float) -> Image: # TODO: Different noise if standard_deviation < 0: raise OutOfBoundsError(standard_deviation, name="standard_deviation", lower_bound=ClosedBound(0)) - return Image(self._image_tensor + torch.normal(0, 1, self._image_tensor.size()).to(self.device) * 255, - device=self.device) + return Image( + self._image_tensor + torch.normal(0, standard_deviation, self._image_tensor.size()).to(self.device) * 255, + device=self.device) def adjust_contrast(self, factor: float) -> Image: if factor < 0: @@ -93,7 +113,12 @@ def adjust_contrast(self, factor: float) -> Image: UserWarning, stacklevel=2, ) - return Image(F2.adjust_contrast(self._image_tensor, factor * 1.0), device=self.device) + if self._image_tensor.size(dim=0) == 4: + return Image(torch.cat( + [F2.adjust_contrast(self._image_tensor[0:3], factor * 1.0), self._image_tensor[3].unsqueeze(dim=0)]), + device=self.device) + else: + return Image(F2.adjust_contrast(self._image_tensor, factor * 1.0), device=self.device) def adjust_color_balance(self, factor: float) -> Image: pass @@ -111,10 +136,20 @@ def sharpen(self, factor: float) -> Image: UserWarning, stacklevel=2, ) - return Image(F2.adjust_sharpness(self._image_tensor, factor * 1.0), device=self.device) + if self._image_tensor.size(dim=0) == 4: + return Image(torch.cat( + [F2.adjust_sharpness(self._image_tensor[0:3], factor * 1.0), self._image_tensor[3].unsqueeze(dim=0)]), + device=self.device) + else: + return Image(F2.adjust_sharpness(self._image_tensor, factor * 1.0), device=self.device) def invert_colors(self) -> Image: - return Image(F2.invert(self._image_tensor), device=self.device) + if self._image_tensor.size(dim=0) == 4: + return Image(torch.cat( + [F2.invert(self._image_tensor[0:3]), self._image_tensor[3].unsqueeze(dim=0)]), + device=self.device) + else: + return Image(F2.invert(self._image_tensor), device=self.device) def rotate_right(self) -> Image: return Image(F2.rotate(self._image_tensor, -90, expand=True), device=self.device) diff --git a/tests/conftest.py b/tests/conftest.py index 522a081d9..32c446278 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2,11 +2,12 @@ import matplotlib as mpl import pytest -from safeds.data.image.containers import Image from syrupy import SnapshotAssertion from syrupy.extensions.single_file import SingleFileSnapshotExtension from syrupy.types import SerializedData +from safeds.data.image.containers import ImagePil, Image + # Fix for failures when running pytest in a terminal (https://github.com/Safe-DS/Library/issues/482) mpl.use("agg") @@ -14,7 +15,7 @@ class JPEGImageExtension(SingleFileSnapshotExtension): _file_extension = "jpg" - def serialize(self, data: Image, **_kwargs: Any) -> SerializedData: + def serialize(self, data: ImagePil | Image, **_kwargs: Any) -> SerializedData: return data._repr_jpeg_() @@ -26,7 +27,7 @@ def snapshot_jpeg(snapshot: SnapshotAssertion) -> SnapshotAssertion: class PNGImageSnapshotExtension(SingleFileSnapshotExtension): _file_extension = "png" - def serialize(self, data: Image, **_kwargs: Any) -> SerializedData: + def serialize(self, data: ImagePil | Image, **_kwargs: Any) -> SerializedData: return data._repr_png_() diff --git a/tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[minimum noise-cpu].png b/tests/safeds/data/image/containers/__snapshots__/test_image/TestAddGaussianNoise.test_should_add_noise[minimum noise-cpu].png new file mode 100644 index 0000000000000000000000000000000000000000..0f0a23a1f17f71af8c2b8c3b3e0f8bc09c3f3677 GIT binary patch literal 206196 zcmV(%K;plNP)avq3%9+_wP|Nm~)we;Rq-RN!rBnScom*HX}!QrOS*ia+sK@XC~L>tq?P}0o9 zn4V>$kz{(7$xLR{GA40ILNfq|BtQ^*lV~&mqBo$?dv{fJ?N#^I-T&n*nW2XWk8t{wFgQ4-XIDGQuO0{zw1&--@tT1VA&--o<5PS(_GfQ$#gi-B9~XQIz8{ zEz0fngD&@js(0LV49Wkf+iY?8?*c3TdLm2;TX|z9)AD`8$BKzj`H~z^oNt>t65~>D zj=yZ4#mDp^qU~luDQ9?c3)H?-zNefS1szNsCPNW(+pg#XiNsi*6R?W5EXOHN!ii7H zvo69j<+!XjUWR9EwPP;=2!t3Th{$CvZ}?hVoQgk?>sX`lgl*0h{UcFFULU4p+Ntt{ zTzQBUO6#I<>9&wBnrznT1B9+{)L(6UqMSw0Yf>RUg_{q`Q(M%ObaY&U6QOsTVW+|y 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