make training dependencies optional-dependencies of eynollah

i.e. `pip install "eynollah[training]"` will install the requirements for training

pyproject.toml

@@ -13,7 +13,11 @@ license.file = "LICENSE"
 requires-python = ">=3.8"
 keywords = ["document layout analysis", "image segmentation"]
 
-dynamic = ["dependencies", "version"]
+dynamic = [
+  "dependencies",
+  "optional-dependencies",
+  "version"
+]
 
 classifiers = [
     "Development Status :: 4 - Beta",
@@ -25,10 +29,6 @@ classifiers = [
     "Topic :: Scientific/Engineering :: Image Processing",
 ]
 
-[project.optional-dependencies]
-OCR = ["torch <= 2.0.1", "transformers <= 4.30.2"]
-plotting = ["matplotlib"]
-
 [project.scripts]
 eynollah = "eynollah.cli:main"
 ocrd-eynollah-segment = "eynollah.ocrd_cli:main"
@@ -41,6 +41,9 @@ Repository = "https://github.com/qurator-spk/eynollah.git"
 [tool.setuptools.dynamic]
 dependencies = {file = ["requirements.txt"]}
 optional-dependencies.test = {file = ["requirements-test.txt"]}
+optional-dependencies.OCR = {file = ["requirements-ocr.txt"]}
+optional-dependencies.plotting = {file = ["requirements-plotting.txt"]}
+optional-dependencies.training = {file = ["requirements-training.txt"]}
 
 [tool.setuptools.packages.find]
 where = ["src"]

requirements-ocr.txt

@@ -0,0 +1,2 @@
+torch <= 2.0.1
+transformers <= 4.30.2

requirements-plotting.txt

@@ -0,0 +1 @@
+matplotlib

requirements-training.txt

@@ -0,0 +1 @@
+train/requirements.txt

train/requirements.txt

@@ -1,11 +1,6 @@
-tensorflow == 2.12.1
+# tensorflow == 2.12.1 # TODO why not tensorflow < 2.13 as in eynollah/requirements.txt
 sacred
-opencv-python-headless
 seaborn
 tqdm
 imutils
-numpy
 scipy
-scikit-learn
-shapely
-click