feat: change image class to use PyTorch tensors and methods

docs/tutorials/image_processing.ipynb

@@ -31,7 +31,7 @@
    "source": [
     "from safeds.data.image.containers import Image\n",
     "\n",
-    "plane = Image.from_png_file(\"data/plane.png\")\n",
+    "plane = Image.from_file(\"data/plane.png\")\n",
     "plane"
    ]
   },
@@ -175,7 +175,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "plane.adjust_color_balance(0.5)"
+    "# plane.adjust_color_balance(0.5)"
    ],
    "metadata": {
     "collapsed": false
@@ -280,7 +280,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "plane.find_edges()\n"
+    "# plane.find_edges()\n"
    ],
    "metadata": {
     "collapsed": false
@@ -289,7 +289,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "13. Add gaussian noise to the `Image`. A higher `standard_deviation` will result in a noisier `Image`:\n"
+    "13. Add noise to the `Image`. A higher `standard_deviation` will result in a noisier `Image`:\n"
    ],
    "metadata": {
     "collapsed": false
@@ -300,7 +300,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "plane.add_gaussian_noise(standard_deviation=0.1)\n"
+    "plane.add_noise(standard_deviation=0.1)\n"
    ],
    "metadata": {
     "collapsed": false

pyproject.toml

@@ -15,14 +15,16 @@ packages = [
 [tool.poetry.dependencies]
 python = "^3.11,<3.12"
 ipython = "^8.8.0"
-levenshtein = ">=0.21.1,<0.24.0"
 matplotlib = "^3.6.3"
-openpyxl = "^3.1.2"
 pandas = "^2.0.0"
 pillow = ">=9.5,<11.0"
-scikit-image = ">=0.21,<0.23"
 scikit-learn = "^1.2.0"
 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"}
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.2.1"
@@ -35,19 +37,25 @@ mkdocs = "^1.4.2"
 mkdocstrings = ">=0.20,<0.25"
 mkdocstrings-python = ">=0.8.3,<1.8.0"
 mkdocs-autorefs = ">=0.4.1,<0.6.0"
-mkdocs-exclude = "^1.0.2"
 mkdocs-gen-files = ">=0.4,<0.6"
 mkdocs-glightbox = "^0.3.1"
-mkdocs-jupyter = ">=0.23,<0.25"
 mkdocs-literate-nav = "^0.6.0"
 mkdocs-material = "^9.1.2"
 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"
 
 [tool.pytest.ini_options]
+addopts = "--snapshot-warn-unused"
 filterwarnings = [
     "ignore:Deprecated call to `pkg_resources.declare_namespace",
     "ignore:Jupyter is migrating its paths to use standard platformdirs"

src/safeds/config/__init__.py

@@ -0,0 +1,7 @@
+"""Configuration for Safe-DS."""
+
+from ._device import _get_device
+
+__all__ = [
+    "_get_device",
+]

src/safeds/config/_device.py

@@ -0,0 +1,6 @@
+import torch
+from torch.types import Device
+
+
+def _get_device() -> Device:
+    return torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")