From cab06f018fa68f26deb84f420528d83e6b075268 Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 13:32:51 +0300
Subject: [PATCH 1/7] fix: Fixed borders in show utils

---
 scaledp/utils/templates/base.html  | 13 +++++++++----
 scaledp/utils/templates/image.html |  3 ++-
 scaledp/utils/templates/json.html  |  3 ++-
 scaledp/utils/templates/ner.html   |  3 ++-
 scaledp/utils/templates/text.html  |  3 ++-
 5 files changed, 17 insertions(+), 8 deletions(-)

diff --git a/scaledp/utils/templates/base.html b/scaledp/utils/templates/base.html
index fcb9606..36b1052 100644
--- a/scaledp/utils/templates/base.html
+++ b/scaledp/utils/templates/base.html
@@ -1,5 +1,6 @@
-<div style="border-radius: 8px; margin: 10px; padding: 10px; width: {{ width }}px; background: #e5edf5; border: 0; min-width: 600px;">
-    <div style="display: grid; grid-template-columns: 3fr 1fr; grid-gap: 20px; width:{{ width }}px;">
+<div style="border-radius: 8px; margin: 10px; padding: 10px;line-height:0px;
+        width: {{ width }}px; background: #e5edf5; border: 0; min-width: 600px;">
+    <div style="display: grid; grid-template-columns: 3fr 1fr; grid-gap: 20px;">
         <div style="padding: 10px 0px 10px 20px;">
             <table>
                 {% for key, value in metadata.items() %}
@@ -13,8 +14,12 @@
             </table>
 
         </div>
-        <a href="https://stabrise.com/scaledp/"><img src="https://raw.githubusercontent.com/StabRise/ScaleDP/refs/heads/master/images/scaledp.webp"
-                style="width: 200px; margin:10px 20px 0 0px;justify-self: end;"/></a>
+        <a href="https://stabrise.com/scaledp/" style="font-size: 10px;
+        text-align: center; justify-self:
+                end;"><img
+                src="https://raw.githubusercontent.com/StabRise/ScaleDP/refs/heads/master/images/scaledp.webp"
+                style="width: 200px; margin:10px 20px 0 0px;"/>https://stabrise
+            .com/scaledp/</a>
     </div>
         {% if metadata.Exception %}
             <p><pre style="border-radius: 8px;overflow:auto;background-color: rgb(255, 221, 221);padding: 1em;">{{metadata.Exception}}</pre></p>
diff --git a/scaledp/utils/templates/image.html b/scaledp/utils/templates/image.html
index 4a7ba4d..92aaef9 100644
--- a/scaledp/utils/templates/image.html
+++ b/scaledp/utils/templates/image.html
@@ -1,5 +1,6 @@
 {% extends "base.html" %}
 
 {% block body %}
-    <img src="data:image/png;base64,{{image}}" style="width: 100%; align: center;border-radius: 8px;"/>
+    <img src="data:image/png;base64,{{image}}" style="width: 100%; align:
+    center;border-radius: 6px; padding: 0px; margin: 0px"/>
 {% endblock %}
diff --git a/scaledp/utils/templates/json.html b/scaledp/utils/templates/json.html
index 93ed9a9..a528662 100644
--- a/scaledp/utils/templates/json.html
+++ b/scaledp/utils/templates/json.html
@@ -1,5 +1,6 @@
 {% extends "base.html" %}
 
 {% block body %}
-    <div style="background-color: white;padding: 1em;border-radius: 8px;">{{text|safe}}</div>
+    <div style="background-color: white;padding: 1em;border-radius: 6px;
+">{{text|safe}}</div>
 {% endblock %}
diff --git a/scaledp/utils/templates/ner.html b/scaledp/utils/templates/ner.html
index 0874bbb..dd6f33b 100644
--- a/scaledp/utils/templates/ner.html
+++ b/scaledp/utils/templates/ner.html
@@ -1,5 +1,6 @@
 {% extends "base.html" %}
 
 {% block body %}
-    <div style="border-radius: 8px;background-color: white;font-family: monospace; overflow:auto; padding: 1em;">{{ ner|safe }}</div>
+    <div style="border-radius: 6px;background-color: white;font-family:
+    monospace; overflow:auto; padding: 1em;">{{ ner|safe }}</div>
 {% endblock %}
diff --git a/scaledp/utils/templates/text.html b/scaledp/utils/templates/text.html
index f1e21d9..a53c811 100644
--- a/scaledp/utils/templates/text.html
+++ b/scaledp/utils/templates/text.html
@@ -1,5 +1,6 @@
 {% extends "base.html" %}
 
 {% block body %}
-    <p><pre style="border-radius: 8px;overflow:auto;background-color: white;padding: 1em;">{{text}}</pre></p>
+    <p><pre style="border-radius: 6px;overflow:auto;background-color: white;
+    padding: 1em;">{{text}}</pre></p>
 {% endblock %}

From 4985ec6acecdff29bc674748baeb79078c0b5d14 Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 13:35:49 +0300
Subject: [PATCH 2/7] feat: Updated ImageCropBoxes to support multiple boxes

---
 pyproject.toml                       |  2 +-
 scaledp/image/ImageCropBoxes.py      | 48 +++++++++++++++++++++-----
 tests/image/test_image_crop_boxes.py | 50 ++++++++++++++++++++++++++++
 3 files changed, 90 insertions(+), 10 deletions(-)
 create mode 100644 tests/image/test_image_crop_boxes.py

diff --git a/pyproject.toml b/pyproject.toml
index dc67e5c..faf6a98 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "scaledp"
-version = "0.2.4rc11"
+version = "0.2.4rc13"
 description = "ScaleDP is a library for processing documents using Apache Spark and LLMs"
 authors = ["Mykola Melnyk <mykola@stabrise.com>"]
 repository = "https://github.com/StabRise/scaledp"
diff --git a/scaledp/image/ImageCropBoxes.py b/scaledp/image/ImageCropBoxes.py
index 58d540a..3aeb2c0 100644
--- a/scaledp/image/ImageCropBoxes.py
+++ b/scaledp/image/ImageCropBoxes.py
@@ -6,7 +6,8 @@
 from pyspark import keyword_only
 from pyspark.ml import Transformer
 from pyspark.ml.util import DefaultParamsReadable, DefaultParamsWritable
-from pyspark.sql.functions import udf
+from pyspark.sql.functions import explode, udf
+from pyspark.sql.types import ArrayType
 
 from scaledp.params import (
     AutoParamsMeta,
@@ -65,6 +66,13 @@ class ImageCropBoxes(
         typeConverter=TypeConverters.toBoolean,
     )
 
+    limit = Param(
+        Params._dummy(),
+        "limit",
+        "Limit of boxes for crop.",
+        typeConverter=TypeConverters.toInt,
+    )
+
     defaultParams = MappingProxyType(
         {
             "inputCols": ["image", "boxes"],
@@ -76,6 +84,7 @@ class ImageCropBoxes(
             "pageCol": "page",
             "propagateError": False,
             "noCrop": True,
+            "limit": 0,
         },
     )
 
@@ -98,20 +107,36 @@ def transform_udf(self, image, data):
                 )
             img = image.to_pil()
             results = []
-            for b in data.bboxes:
+            limit = self.getLimit()
+
+            bboxes = data.bboxes[:limit] if limit > 0 else data.bboxes
+
+            for b in bboxes:
                 box = b
                 if not isinstance(box, Box):
                     box = Box(**box.asDict())
-                if box.width > box.height:
-                    results.append(
-                        img.crop(box.bbox(self.getPadding())).rotate(-90, expand=True),
+                if box.width < box.height:
+                    cropped_image = img.crop(box.bbox(self.getPadding())).rotate(
+                        -90,
+                        expand=True,
                     )
                 else:
-                    results.append(img.crop(box.bbox(self.getPadding())))
+                    cropped_image = img.crop(box.bbox(self.getPadding()))
+                results.append(
+                    Image.from_pil(
+                        cropped_image,
+                        image.path,
+                        image.imageType,
+                        image.resolution,
+                    ),
+                )
+
             if self.getNoCrop() and len(results) == 0:
                 raise ImageCropError("No boxes to crop")
             if len(results) == 0:
-                results.append(img)
+                results.append(
+                    Image.from_pil(img, image.path, image.imageType, image.resolution),
+                )
 
         except Exception as e:
             exception = traceback.format_exc()
@@ -120,7 +145,7 @@ def transform_udf(self, image, data):
             if self.getPropagateError():
                 raise ImageCropError from e
             return Image(image.path, image.imageType, data=bytes(), exception=exception)
-        return Image.from_pil(results[0], image.path, image.imageType, image.resolution)
+        return results
 
     def _transform(self, dataset):
         out_col = self.getOutputCol()
@@ -133,7 +158,12 @@ def _transform(self, dataset):
             )
         result = dataset.withColumn(
             out_col,
-            udf(self.transform_udf, Image.get_schema())(image_col, box_col),
+            explode(
+                udf(self.transform_udf, ArrayType(Image.get_schema()))(
+                    image_col,
+                    box_col,
+                ),
+            ),
         )
 
         if not self.getKeepInputData():
diff --git a/tests/image/test_image_crop_boxes.py b/tests/image/test_image_crop_boxes.py
new file mode 100644
index 0000000..b0d4113
--- /dev/null
+++ b/tests/image/test_image_crop_boxes.py
@@ -0,0 +1,50 @@
+import tempfile
+
+from pyspark.ml.pipeline import PipelineModel
+
+from scaledp.enums import PSM
+from scaledp.image.ImageCropBoxes import ImageCropBoxes
+from scaledp.models.recognizers.TesseractOcr import TesseractOcr
+
+
+def test_image_crop_boxes_ocr(image_df):
+
+    # Initialize the OCR stage with specific parameters
+    ocr = TesseractOcr(
+        keepInputData=True,
+        scoreThreshold=0.5,
+        psm=PSM.SPARSE_TEXT.value,
+        scaleFactor=2.0,
+    )
+
+    # Initialize the ImageCropBoxes stage
+    crop = ImageCropBoxes(
+        inputCols=["image", "text"],
+        limit=2,
+    )
+
+    # Create the pipeline with the OCR and ImageDrawBoxes stages
+    pipeline = PipelineModel(stages=[ocr, crop])
+
+    # Run the pipeline on the input image dataframe
+    result = pipeline.transform(image_df).collect()
+
+    # Verify the pipeline result
+    assert len(result) == 2
+    assert hasattr(result[0], "cropped_image")
+
+    # Save the output image to a temporary file for verification
+    with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp:
+        temp.write(result[0].cropped_image.data)
+        temp.close()
+
+        # Print the path to the temporary file
+        print("file://" + temp.name)
+
+    # Verify the OCR stage output
+    ocr_result = result[0].text
+    assert len(ocr_result) > 0
+
+    # Verify the draw stage output
+    cropped_image = result[0].cropped_image
+    assert cropped_image.exception == ""

From dd9e565992999b1a04e032dfefe759b89fdc9282 Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 14:09:31 +0300
Subject: [PATCH 3/7] Updated changelog

---
 CHANGELOG.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 8bd9bac..68557d9 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -3,6 +3,12 @@
 ### 🚀 Features
 
 - Added possibility to use subfields in show utils and added padding option to the YoloOnnxDetector
+- Added SignatureDetector
+- Updated ImageCropBoxes to support multiple boxes
 - Added LineOrientation detector model to the TesseractRecognizer
 - Added FaceDetector, SignatureDetector
 - Added PdfAssembler
+
+### 🐛 Bug Fixes
+
+- Fixed borders in show utils

From 6d2116fb71a1dd439667a2de6f7bf25783aea8ba Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 14:12:07 +0300
Subject: [PATCH 4/7] Updated tests

---
 tests/pdf/test_pdf_assembler.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/pdf/test_pdf_assembler.py b/tests/pdf/test_pdf_assembler.py
index b34df1a..c903fbe 100644
--- a/tests/pdf/test_pdf_assembler.py
+++ b/tests/pdf/test_pdf_assembler.py
@@ -1,10 +1,10 @@
 import tempfile
 
-from models.detectors.DBNetOnnxDetector import DBNetOnnxDetector
 from pyspark.ml import PipelineModel
 from pyspark.sql import DataFrame
 
 from scaledp import ImageDrawBoxes, TesseractRecognizer, TessLib
+from scaledp.models.detectors.DBNetOnnxDetector import DBNetOnnxDetector
 from scaledp.models.recognizers.TesseractOcr import TesseractOcr
 from scaledp.pdf import PdfAddTextLayer, PdfAssembler, PdfDataToImage, SingleImageToPdf
 from scaledp.pipeline.PandasPipeline import PandasPipeline

From e9c72fde92169bf353e285d4bf457220caea3a45 Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 14:33:14 +0300
Subject: [PATCH 5/7] Updated deps

---
 poetry.lock    | 475 ++++++++++++++++++++++++++++++++++++++++++++++++-
 pyproject.toml |   2 +
 2 files changed, 472 insertions(+), 5 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 6a0b811..4453db8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,24 @@
 # This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
+[[package]]
+name = "aistudio-sdk"
+version = "0.3.8"
+description = "Python client library for the AIStudio API"
+optional = false
+python-versions = "*"
+groups = ["test"]
+files = [
+    {file = "aistudio_sdk-0.3.8-py3-none-any.whl", hash = "sha256:bfc96af7243ac2ee3303014849aa4028717cce5afa622af8cfe3a1d44d1941d6"},
+]
+
+[package.dependencies]
+bce-python-sdk = "*"
+click = "*"
+prettytable = "*"
+psutil = "*"
+requests = "*"
+tqdm = "*"
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -205,6 +224,23 @@ files = [
 [package.extras]
 dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
+[[package]]
+name = "bce-python-sdk"
+version = "0.9.46"
+description = "BCE SDK for python"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
+groups = ["test"]
+files = [
+    {file = "bce_python_sdk-0.9.46-py3-none-any.whl", hash = "sha256:655074da6592ce8b036f605d9a272bfdcd1f515eb2f8e3f0333bb7cc62f700cb"},
+    {file = "bce_python_sdk-0.9.46.tar.gz", hash = "sha256:4bf01b22e6d172ccd94aa201f8bc6f2a98d0da4784160e77cfacfcc71c2686be"},
+]
+
+[package.dependencies]
+future = ">=0.6.0"
+pycryptodome = ">=3.8.0"
+six = ">=1.4.0"
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.13.3"
@@ -398,6 +434,18 @@ files = [
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]
 
+[[package]]
+name = "chardet"
+version = "5.2.0"
+description = "Universal encoding detector for Python 3"
+optional = false
+python-versions = ">=3.7"
+groups = ["test"]
+files = [
+    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
+    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
+]
+
 [[package]]
 name = "charset-normalizer"
 version = "3.4.1"
@@ -546,6 +594,24 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
+[[package]]
+name = "colorlog"
+version = "6.10.1"
+description = "Add colours to the output of Python's logging module."
+optional = false
+python-versions = ">=3.6"
+groups = ["test"]
+files = [
+    {file = "colorlog-6.10.1-py3-none-any.whl", hash = "sha256:2d7e8348291948af66122cff006c9f8da6255d224e7cf8e37d8de2df3bad8c9c"},
+    {file = "colorlog-6.10.1.tar.gz", hash = "sha256:eb4ae5cb65fe7fec7773c2306061a8e63e02efc2c72eba9d27b0fa23c94f1321"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
+
 [[package]]
 name = "comm"
 version = "0.2.2"
@@ -1119,6 +1185,18 @@ files = [
 [package.dependencies]
 wcwidth = "*"
 
+[[package]]
+name = "future"
+version = "1.0.0"
+description = "Clean single-source support for Python 3 and 2"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["test"]
+files = [
+    {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"},
+    {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
+]
+
 [[package]]
 name = "gdown"
 version = "5.2.0"
@@ -1405,7 +1483,7 @@ version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["main"]
+groups = ["main", "test"]
 files = [
     {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
     {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
@@ -2573,6 +2651,41 @@ files = [
 [package.dependencies]
 typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
 
+[[package]]
+name = "modelscope"
+version = "1.31.0"
+description = "ModelScope: bring the notion of Model-as-a-Service to life."
+optional = false
+python-versions = "*"
+groups = ["test"]
+files = [
+    {file = "modelscope-1.31.0-py3-none-any.whl", hash = "sha256:16fc2d4209d508cd8b511c07ef74d92531aa0ee1f4c303a19e0234f60a7371a9"},
+    {file = "modelscope-1.31.0.tar.gz", hash = "sha256:7d0be3c898bc32b48b4f9cd1e98795bda32de1763f746c918f5ef34661a67661"},
+]
+
+[package.dependencies]
+filelock = "*"
+requests = ">=2.25"
+setuptools = "*"
+tqdm = ">=4.64.0"
+urllib3 = ">=1.26"
+
+[package.extras]
+all = ["Pillow", "Pillow (>=6.2.0)", "PyMCubes (<=0.1.4)", "PyYAML (>=5.4)", "accelerate", "addict", "albumentations (>=1.0.3)", "attrs", "av (>=9.2.0)", "biopython", "bmt-clipit (>=1.0)", "boto3", "chumpy", "clip (>=1.0)", "cloudpickle", "control-ldm", "datasets (>=3.0.0,<=3.6.0)", "ddpm-guided-diffusion (==0.0.0)", "decord (>=0.6.0)", "diffusers", "diffusers (>=0.25.0)", "easydict", "edit-distance", "einops", "embeddings", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fastai (>=1.0.51)", "fastapi", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "filelock", "ftfy", "ftfy (>=6.0.3)", "fvcore", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "iopath", "ipdb", "jieba (>=0.42.1)", "kornia (>=0.5.0)", "librosa (==0.10.1)", "lmdb", "lpips", "matplotlib", "matplotlib (>=3.8.0)", "megatron-util", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (==1.0.3)", "nerfacc (==0.2.2)", "networkx", "nltk", "numba", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "oss2", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "protobuf (>=3.19.0,<3.21.0)", "psutil", "pyclipper", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "pythainlp", "python-dateutil (>=2.1)", "pytorch-lightning", "pytorch-lightning (<=1.7.7)", "pyvi", "rapidfuzz", "regex", "requests (>=2.25)", "rouge", "rouge-score (<=0.0.4)", "sacrebleu", "sacremoses (>=0.0.41)", "safetensors", "scikit-image", "scikit-learn", "scipy", "sentencepiece", "seqeval", "setuptools", "shapely", "shotdetect-scenedetect-lgss (==0.0.4)", "simplejson (>=3.3.0)", "smplx", "sortedcontainers (>=1.5.9)", "soundfile", "spacy (>=2.3.5,<=3.7.0)", "sse-starlette", "stanza", "subword-nmt (>=0.3.8)", "taming-transformers-rom1504", "tensorboardX", "tensorflow-estimator (>=1.15.1)", "termcolor", "tf-slim", "thop", "timm", "timm (>=0.4.9)", "tokenizers", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "tqdm (>=4.64.0)", "transformers", "transformers (>=4.12.0)", "transformers (>=4.26.0)", "transformers (>=4.27.1)", "trimesh", "ujson", "unicodedata2", "urllib3 (>=1.26)", "utils", "uvicorn", "videofeatures-clipit (>=1.0)", "yacs", "zhconv"]
+audio = ["MinDAEC (==0.0.2)", "Pillow", "PyWavelets (>=1.0.0)", "PyYAML (>=5.4)", "SoundFile (>0.10)", "addict", "attrs", "bitstring", "datasets (>=3.0.0,<=3.6.0)", "einops", "funasr (>=1.0.0)", "greenlet (>=1.1.2)", "hdbscan", "hyperpyyaml", "inflect", "jedi (>=0.18.1)", "kaldiio", "kantts", "librosa (==0.10.1)", "lxml", "matplotlib", "mir-eval (>=0.7)", "ms-funcodec (>=0.2.0)", "msgpack (>=1.0.4)", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "py-sound-connect (>=0.1)", "pygments (>=2.12.0)", "python-dateutil (>=2.1)", "pytorch-wavelets", "rotary-embedding-torch (>=0.1.5)", "scikit-learn", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "sox", "speechbrain (>=0.5.12)", "tensorboardX", "torchaudio", "tqdm", "traitlets (>=5.3.0)", "transformers", "umap-learn", "unidecode", "urllib3 (>=1.26)", "wcwidth (>=0.2.5)"]
+audio-asr = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "funasr (>=1.0.0)", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "transformers", "urllib3 (>=1.26)"]
+audio-kws = ["Pillow", "PyYAML (>=5.4)", "SoundFile (>0.10)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "kaldiio", "matplotlib", "py-sound-connect (>=0.1)", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tensorboardX", "transformers", "urllib3 (>=1.26)"]
+audio-signal = ["MinDAEC (==0.0.2)", "Pillow", "PyYAML (>=5.4)", "SoundFile (>0.10)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "hdbscan", "hyperpyyaml", "librosa (==0.10.1)", "mir-eval (>=0.7)", "python-dateutil (>=2.1)", "rotary-embedding-torch (>=0.1.5)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "speechbrain (>=0.5.12)", "torchaudio", "tqdm", "transformers", "umap-learn", "urllib3 (>=1.26)"]
+audio-tts = ["Pillow", "PyWavelets (>=1.0.0)", "PyYAML (>=5.4)", "addict", "attrs", "bitstring", "datasets (>=3.0.0,<=3.6.0)", "einops", "greenlet (>=1.1.2)", "inflect", "jedi (>=0.18.1)", "kantts", "librosa (==0.10.1)", "lxml", "matplotlib", "msgpack (>=1.0.4)", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "pygments (>=2.12.0)", "python-dateutil (>=2.1)", "pytorch-wavelets", "scikit-learn", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "sox", "tensorboardx", "tqdm", "traitlets (>=5.3.0)", "transformers", "unidecode", "urllib3 (>=1.26)", "wcwidth (>=0.2.5)"]
+cv = ["Pillow", "Pillow (>=6.2.0)", "PyMCubes (<=0.1.4)", "PyYAML (>=5.4)", "accelerate", "addict", "albumentations (>=1.0.3)", "attrs", "av (>=9.2.0)", "bmt-clipit (>=1.0)", "chumpy", "clip (>=1.0)", "control-ldm", "datasets (>=3.0.0,<=3.6.0)", "ddpm-guided-diffusion (==0.0.0)", "diffusers", "easydict", "edit-distance", "einops", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fastai (>=1.0.51)", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "ftfy", "fvcore", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "kornia (>=0.5.0)", "lmdb", "lpips", "matplotlib (>=3.8.0)", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (==1.0.3)", "nerfacc (==0.2.2)", "networkx", "numba", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "psutil", "pyclipper", "python-dateutil (>=2.1)", "pytorch-lightning", "regex", "scikit-image", "scikit-learn", "scipy", "setuptools", "shapely", "shotdetect-scenedetect-lgss (==0.0.4)", "simplejson (>=3.3.0)", "smplx", "sortedcontainers (>=1.5.9)", "tensorflow-estimator (>=1.15.1)", "tf-slim", "thop", "timm (>=0.4.9)", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "transformers", "transformers (>=4.26.0)", "trimesh", "ujson", "urllib3 (>=1.26)", "utils", "videofeatures-clipit (>=1.0)", "yacs"]
+datasets = ["Pillow", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "oss2", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "urllib3 (>=1.26)"]
+framework = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "transformers", "urllib3 (>=1.26)"]
+hub = ["filelock", "requests (>=2.25)", "setuptools", "tqdm (>=4.64.0)", "urllib3 (>=1.26)"]
+multi-modal = ["Pillow", "PyYAML (>=5.4)", "accelerate", "addict", "attrs", "cloudpickle", "datasets (>=3.0.0,<=3.6.0)", "decord (>=0.6.0)", "diffusers (>=0.25.0)", "einops", "ftfy (>=6.0.3)", "librosa (==0.10.1)", "opencv-python", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "python-dateutil (>=2.1)", "pytorch-lightning (<=1.7.7)", "rapidfuzz", "rouge-score (<=0.0.4)", "sacrebleu", "safetensors", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "soundfile", "taming-transformers-rom1504", "timm", "tokenizers", "torchvision", "transformers", "transformers (>=4.27.1)", "unicodedata2", "urllib3 (>=1.26)", "zhconv"]
+nlp = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "boto3", "datasets (>=3.0.0,<=3.6.0)", "einops", "embeddings", "filelock", "ftfy", "jieba (>=0.42.1)", "matplotlib", "megatron-util", "nltk", "pandas", "protobuf (>=3.19.0,<3.21.0)", "pythainlp", "python-dateutil (>=2.1)", "pyvi", "regex", "rouge", "sacremoses (>=0.0.41)", "scikit-learn", "scipy", "sentencepiece", "seqeval", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "spacy (>=2.3.5,<=3.7.0)", "stanza", "subword-nmt (>=0.3.8)", "termcolor", "tokenizers", "transformers", "transformers (>=4.12.0)", "urllib3 (>=1.26)", "zhconv"]
+science = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "biopython", "datasets (>=3.0.0,<=3.6.0)", "einops", "iopath", "ipdb", "lmdb", "ml-collections", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tensorboardX", "tokenizers", "transformers", "urllib3 (>=1.26)"]
+server = ["fastapi", "sse-starlette", "uvicorn"]
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -3076,6 +3189,31 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
+[[package]]
+name = "opencv-contrib-python"
+version = "4.10.0.84"
+description = "Wrapper package for OpenCV python bindings."
+optional = false
+python-versions = ">=3.6"
+groups = ["test"]
+files = [
+    {file = "opencv-contrib-python-4.10.0.84.tar.gz", hash = "sha256:4a3eae0ed9cadf1abe9293a6938a25a540e2fd6d7fc308595caa5896c8b36a0c"},
+    {file = "opencv_contrib_python-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:ee4b0919026d8c533aeb69b16c6ec4a891a2f6844efaa14121bf68838753209c"},
+    {file = "opencv_contrib_python-4.10.0.84-cp37-abi3-macosx_12_0_x86_64.whl", hash = "sha256:dea80d4db73b8acccf9e16b5744bf3654f47b22745074263f0a6c10de26c5ef5"},
+    {file = "opencv_contrib_python-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:040575b69e4f3aa761676bace4e3d1b8485fbfaf77ef77b266ab6bda5a3b5e9b"},
+    {file = "opencv_contrib_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a261223db41f6e512d76deaf21c8fcfb4fbbcbc2de62ca7f74a05f2c9ee489ef"},
+    {file = "opencv_contrib_python-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:2a36257ec1375d1bec2a62177ea39828ff9804de6831ee39646bdc875c343cec"},
+    {file = "opencv_contrib_python-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:47ec3160dae75f70e099b286d1a2e086d20dac8b06e759f60eaf867e6bdecba7"},
+]
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+]
+
 [[package]]
 name = "opencv-python"
 version = "4.11.0.86"
@@ -3150,6 +3288,85 @@ files = [
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
 ]
 
+[[package]]
+name = "paddleocr"
+version = "3.3.1"
+description = "Awesome multilingual OCR and document parsing toolkits based on PaddlePaddle"
+optional = false
+python-versions = ">=3.8"
+groups = ["test"]
+files = [
+    {file = "paddleocr-3.3.1-py3-none-any.whl", hash = "sha256:b9401ad605cc29840458b63173ea91c01bab548323f96f0b8f0d09a5aad4f9cb"},
+    {file = "paddleocr-3.3.1.tar.gz", hash = "sha256:27f65a3ca1249186965a6583b3e20d069fa129218cc8f407d99422f94be0e029"},
+]
+
+[package.dependencies]
+paddlex = {version = ">=3.3.0,<3.4.0", extras = ["ocr-core"]}
+PyYAML = ">=6"
+requests = "*"
+typing-extensions = ">=4.12"
+
+[package.extras]
+all = ["paddlex[genai-client,ie,ocr,trans] (>=3.3.0,<3.4.0)"]
+doc-parser = ["paddlex[genai-client,ocr] (>=3.3.0,<3.4.0)"]
+ie = ["paddlex[ie] (>=3.3.0,<3.4.0)"]
+trans = ["paddlex[trans] (>=3.3.0,<3.4.0)"]
+
+[[package]]
+name = "paddlex"
+version = "3.3.6"
+description = "Low-code development tool based on PaddlePaddle."
+optional = false
+python-versions = "*"
+groups = ["test"]
+files = [
+    {file = "paddlex-3.3.6-py3-none-any.whl", hash = "sha256:5665c15deda2a794ebac8ae55809e12161749a4762b217be7351dc675c6c9139"},
+    {file = "paddlex-3.3.6.tar.gz", hash = "sha256:bca4c5d1e2f349a7628776ffe5892106fa76c7a1f675c98de304fb2dcf349c52"},
+]
+
+[package.dependencies]
+aistudio-sdk = ">=0.3.5"
+chardet = "*"
+colorlog = "*"
+filelock = "*"
+huggingface-hub = "*"
+imagesize = {version = "*", optional = true, markers = "extra == \"ocr-core\""}
+modelscope = ">=1.28.0"
+numpy = ">=1.24"
+opencv-contrib-python = {version = "4.10.0.84", optional = true, markers = "extra == \"ocr-core\""}
+packaging = "*"
+pandas = ">=1.3"
+pillow = "*"
+prettytable = "*"
+py-cpuinfo = "*"
+pyclipper = {version = "*", optional = true, markers = "extra == \"ocr-core\""}
+pydantic = ">=2"
+pypdfium2 = {version = ">=4", optional = true, markers = "extra == \"ocr-core\""}
+python-bidi = {version = "*", optional = true, markers = "extra == \"ocr-core\""}
+PyYAML = "6.0.2"
+requests = "*"
+"ruamel.yaml" = "*"
+shapely = {version = "*", optional = true, markers = "extra == \"ocr-core\""}
+typing-extensions = "*"
+ujson = "*"
+
+[package.extras]
+base = ["GPUtil (>=1.4)", "Jinja2", "beautifulsoup4", "chinese-calendar", "decord (==0.6.0) ; (platform_machine == \"x86_64\" or platform_machine == \"AMD64\") and sys_platform != \"darwin\"", "einops", "faiss-cpu", "ftfy", "imagesize", "joblib", "langchain (>=0.2,<1.0)", "langchain-community (>=0.2,<1.0)", "langchain-core", "langchain-openai (>=0.1,<1.0)", "lxml", "matplotlib", "openai (>=1.63)", "opencv-contrib-python (==4.10.0.84)", "openpyxl", "premailer", "pyclipper", "pycocotools (<=2.0.8)", "pypdfium2 (>=4)", "python-bidi", "regex", "safetensors", "scikit-image", "scikit-learn", "sentencepiece", "shapely", "soundfile", "tiktoken", "tokenizers (>=0.19)", "tqdm"]
+cv = ["faiss-cpu", "matplotlib", "opencv-contrib-python (==4.10.0.84)", "pycocotools (<=2.0.8)", "pypdfium2 (>=4)", "scikit-image"]
+genai-client = ["openai (>=1.63)"]
+genai-sglang-server = ["einops", "sglang[all] (==0.5.2)", "torch (==2.8.0)", "transformers", "xformers"]
+genai-vllm-server = ["einops", "torch (==2.8.0)", "transformers", "uvloop", "vllm (==0.10.2)", "xformers"]
+ie = ["ftfy", "imagesize", "langchain (>=0.2,<1.0)", "langchain-community (>=0.2,<1.0)", "langchain-core", "langchain-openai (>=0.1,<1.0)", "lxml", "openai (>=1.63)", "opencv-contrib-python (==4.10.0.84)", "openpyxl", "premailer", "pyclipper", "pypdfium2 (>=4)", "scikit-learn", "shapely", "tokenizers (>=0.19)"]
+multimodal = ["GPUtil (>=1.4)", "Jinja2", "einops", "ftfy", "opencv-contrib-python (==4.10.0.84)", "pypdfium2 (>=4)", "regex", "safetensors", "sentencepiece", "tiktoken"]
+ocr = ["Jinja2", "einops", "ftfy", "imagesize", "lxml", "opencv-contrib-python (==4.10.0.84)", "openpyxl", "premailer", "pyclipper", "pypdfium2 (>=4)", "python-bidi", "regex", "safetensors", "scikit-learn", "sentencepiece", "shapely", "tiktoken", "tokenizers (>=0.19)"]
+ocr-core = ["imagesize", "opencv-contrib-python (==4.10.0.84)", "pyclipper", "pypdfium2 (>=4)", "python-bidi", "shapely"]
+paddle2onnx = ["paddle2onnx (==2.0.2rc3)"]
+serving = ["aiohttp (>=3.9)", "bce-python-sdk (>=0.9)", "fastapi (>=0.110)", "filetype (>=1.2)", "opencv-contrib-python (==4.10.0.84)", "pypdfium2 (>=4)", "starlette (>=0.36)", "uvicorn (>=0.16)", "yarl (>=1.9)"]
+speech = ["Jinja2", "ftfy", "regex", "soundfile", "tqdm"]
+trans = ["beautifulsoup4", "ftfy", "imagesize", "lxml", "openai (>=1.63)", "opencv-contrib-python (==4.10.0.84)", "openpyxl", "premailer", "pyclipper", "pypdfium2 (>=4)", "scikit-learn", "shapely", "tokenizers (>=0.19)"]
+ts = ["chinese-calendar", "joblib", "matplotlib", "scikit-learn"]
+video = ["decord (==0.6.0) ; (platform_machine == \"x86_64\" or platform_machine == \"AMD64\") and sys_platform != \"darwin\"", "opencv-contrib-python (==4.10.0.84)"]
+
 [[package]]
 name = "pandas"
 version = "2.2.3"
@@ -3519,6 +3736,24 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
+[[package]]
+name = "prettytable"
+version = "3.16.0"
+description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
+optional = false
+python-versions = ">=3.9"
+groups = ["test"]
+files = [
+    {file = "prettytable-3.16.0-py3-none-any.whl", hash = "sha256:b5eccfabb82222f5aa46b798ff02a8452cf530a352c31bddfa29be41242863aa"},
+    {file = "prettytable-3.16.0.tar.gz", hash = "sha256:3c64b31719d961bf69c9a7e03d0c1e477320906a98da63952bc6698d6164ff57"},
+]
+
+[package.dependencies]
+wcwidth = "*"
+
+[package.extras]
+tests = ["pytest", "pytest-cov", "pytest-lazy-fixtures"]
+
 [[package]]
 name = "prometheus-client"
 version = "0.21.1"
@@ -3768,6 +4003,57 @@ files = [
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
 
+[[package]]
+name = "pycryptodome"
+version = "3.23.0"
+description = "Cryptographic library for Python"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["test"]
+files = [
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 version = "2.11.3"
@@ -4138,10 +4424,9 @@ pytest = "*"
 name = "python-bidi"
 version = "0.6.6"
 description = "Python Bidi layout wrapping the Rust crate unicode-bidi"
-optional = true
+optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "extra == \"ocr\""
+groups = ["main", "test"]
 files = [
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 ]
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 [package.extras]
 dev = ["pytest"]
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 ]
 
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+    {file = "ujson-5.11.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:9aacbeb23fdbc4b256a7d12e0beb9063a1ba5d9e0dbb2cfe16357c98b4334596"},
+    {file = "ujson-5.11.0-cp39-cp39-win32.whl", hash = "sha256:674f306e3e6089f92b126eb2fe41bcb65e42a15432c143365c729fdb50518547"},
+    {file = "ujson-5.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:c6618f480f7c9ded05e78a1938873fde68baf96cdd74e6d23c7e0a8441175c4b"},
+    {file = "ujson-5.11.0-cp39-cp39-win_arm64.whl", hash = "sha256:5600202a731af24a25e2d7b6eb3f648e4ecd4bb67c4d5cf12f8fab31677469c9"},
+    {file = "ujson-5.11.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:abae0fb58cc820092a0e9e8ba0051ac4583958495bfa5262a12f628249e3b362"},
+    {file = "ujson-5.11.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:fac6c0649d6b7c3682a0a6e18d3de6857977378dce8d419f57a0b20e3d775b39"},
+    {file = "ujson-5.11.0-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4b42c115c7c6012506e8168315150d1e3f76e7ba0f4f95616f4ee599a1372bbc"},
+    {file = "ujson-5.11.0-pp311-pypy311_pp73-manylinux_2_24_i686.manylinux_2_28_i686.whl", hash = "sha256:86baf341d90b566d61a394869ce77188cc8668f76d7bb2c311d77a00f4bdf844"},
+    {file = "ujson-5.11.0-pp311-pypy311_pp73-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4598bf3965fc1a936bd84034312bcbe00ba87880ef1ee33e33c1e88f2c398b49"},
+    {file = "ujson-5.11.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:416389ec19ef5f2013592f791486bef712ebce0cd59299bf9df1ba40bb2f6e04"},
+    {file = "ujson-5.11.0.tar.gz", hash = "sha256:e204ae6f909f099ba6b6b942131cee359ddda2b6e4ea39c12eb8b991fe2010e0"},
+]
+
 [[package]]
 name = "ultralytics"
 version = "8.3.104"
@@ -6253,4 +6718,4 @@ paddle = []
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "8dd2983084085f5f23e928b2644fde1da1ae8dcd8a783ade3fd3f450ccf2db65"
+content-hash = "2affd54c966998ded0af94e75a52b66084d4d428c8d1a24696d3df2df7543d94"
diff --git a/pyproject.toml b/pyproject.toml
index faf6a98..141d8d5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,6 +48,7 @@ onnxruntime = "1.22.0"
 
 
 
+
 [tool.poetry.extras]
 ml = ["transformers",
     #"torch",
@@ -86,6 +87,7 @@ ultralytics = "^8.3.40"
 pre-commit = "^3.7.1"
 ruff = "^0.5.0"
 craft-text-detector-updated = "^0.4.7"
+paddleocr = "^3.3.1"
 
 
 [tool.poetry.group.dev.dependencies]

From 40cb1c967667e5f23db6f3859a2f7028eb0c80b3 Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 14:55:49 +0300
Subject: [PATCH 6/7] Disable layout detection tests

---
 poetry.lock                                   | 475 +-----------------
 pyproject.toml                                |   1 -
 .../models/detectors/test_layout_detector.py  |   6 +
 3 files changed, 11 insertions(+), 471 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 4453db8..6a0b811 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,24 +1,5 @@
 # This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
-[[package]]
-name = "aistudio-sdk"
-version = "0.3.8"
-description = "Python client library for the AIStudio API"
-optional = false
-python-versions = "*"
-groups = ["test"]
-files = [
-    {file = "aistudio_sdk-0.3.8-py3-none-any.whl", hash = "sha256:bfc96af7243ac2ee3303014849aa4028717cce5afa622af8cfe3a1d44d1941d6"},
-]
-
-[package.dependencies]
-bce-python-sdk = "*"
-click = "*"
-prettytable = "*"
-psutil = "*"
-requests = "*"
-tqdm = "*"
-
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -224,23 +205,6 @@ files = [
 [package.extras]
 dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
-[[package]]
-name = "bce-python-sdk"
-version = "0.9.46"
-description = "BCE SDK for python"
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
-groups = ["test"]
-files = [
-    {file = "bce_python_sdk-0.9.46-py3-none-any.whl", hash = "sha256:655074da6592ce8b036f605d9a272bfdcd1f515eb2f8e3f0333bb7cc62f700cb"},
-    {file = "bce_python_sdk-0.9.46.tar.gz", hash = "sha256:4bf01b22e6d172ccd94aa201f8bc6f2a98d0da4784160e77cfacfcc71c2686be"},
-]
-
-[package.dependencies]
-future = ">=0.6.0"
-pycryptodome = ">=3.8.0"
-six = ">=1.4.0"
-
 [[package]]
 name = "beautifulsoup4"
 version = "4.13.3"
@@ -434,18 +398,6 @@ files = [
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]
 
-[[package]]
-name = "chardet"
-version = "5.2.0"
-description = "Universal encoding detector for Python 3"
-optional = false
-python-versions = ">=3.7"
-groups = ["test"]
-files = [
-    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
-    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
-]
-
 [[package]]
 name = "charset-normalizer"
 version = "3.4.1"
@@ -594,24 +546,6 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
-[[package]]
-name = "colorlog"
-version = "6.10.1"
-description = "Add colours to the output of Python's logging module."
-optional = false
-python-versions = ">=3.6"
-groups = ["test"]
-files = [
-    {file = "colorlog-6.10.1-py3-none-any.whl", hash = "sha256:2d7e8348291948af66122cff006c9f8da6255d224e7cf8e37d8de2df3bad8c9c"},
-    {file = "colorlog-6.10.1.tar.gz", hash = "sha256:eb4ae5cb65fe7fec7773c2306061a8e63e02efc2c72eba9d27b0fa23c94f1321"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-
-[package.extras]
-development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
-
 [[package]]
 name = "comm"
 version = "0.2.2"
@@ -1185,18 +1119,6 @@ files = [
 [package.dependencies]
 wcwidth = "*"
 
-[[package]]
-name = "future"
-version = "1.0.0"
-description = "Clean single-source support for Python 3 and 2"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-groups = ["test"]
-files = [
-    {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"},
-    {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
-]
-
 [[package]]
 name = "gdown"
 version = "5.2.0"
@@ -1483,7 +1405,7 @@ version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["main", "test"]
+groups = ["main"]
 files = [
     {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
     {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
@@ -2651,41 +2573,6 @@ files = [
 [package.dependencies]
 typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
 
-[[package]]
-name = "modelscope"
-version = "1.31.0"
-description = "ModelScope: bring the notion of Model-as-a-Service to life."
-optional = false
-python-versions = "*"
-groups = ["test"]
-files = [
-    {file = "modelscope-1.31.0-py3-none-any.whl", hash = "sha256:16fc2d4209d508cd8b511c07ef74d92531aa0ee1f4c303a19e0234f60a7371a9"},
-    {file = "modelscope-1.31.0.tar.gz", hash = "sha256:7d0be3c898bc32b48b4f9cd1e98795bda32de1763f746c918f5ef34661a67661"},
-]
-
-[package.dependencies]
-filelock = "*"
-requests = ">=2.25"
-setuptools = "*"
-tqdm = ">=4.64.0"
-urllib3 = ">=1.26"
-
-[package.extras]
-all = ["Pillow", "Pillow (>=6.2.0)", "PyMCubes (<=0.1.4)", "PyYAML (>=5.4)", "accelerate", "addict", "albumentations (>=1.0.3)", "attrs", "av (>=9.2.0)", "biopython", "bmt-clipit (>=1.0)", "boto3", "chumpy", "clip (>=1.0)", "cloudpickle", "control-ldm", "datasets (>=3.0.0,<=3.6.0)", "ddpm-guided-diffusion (==0.0.0)", "decord (>=0.6.0)", "diffusers", "diffusers (>=0.25.0)", "easydict", "edit-distance", "einops", "embeddings", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fastai (>=1.0.51)", "fastapi", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "filelock", "ftfy", "ftfy (>=6.0.3)", "fvcore", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "iopath", "ipdb", "jieba (>=0.42.1)", "kornia (>=0.5.0)", "librosa (==0.10.1)", "lmdb", "lpips", "matplotlib", "matplotlib (>=3.8.0)", "megatron-util", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (==1.0.3)", "nerfacc (==0.2.2)", "networkx", "nltk", "numba", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "oss2", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "protobuf (>=3.19.0,<3.21.0)", "psutil", "pyclipper", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "pythainlp", "python-dateutil (>=2.1)", "pytorch-lightning", "pytorch-lightning (<=1.7.7)", "pyvi", "rapidfuzz", "regex", "requests (>=2.25)", "rouge", "rouge-score (<=0.0.4)", "sacrebleu", "sacremoses (>=0.0.41)", "safetensors", "scikit-image", "scikit-learn", "scipy", "sentencepiece", "seqeval", "setuptools", "shapely", "shotdetect-scenedetect-lgss (==0.0.4)", "simplejson (>=3.3.0)", "smplx", "sortedcontainers (>=1.5.9)", "soundfile", "spacy (>=2.3.5,<=3.7.0)", "sse-starlette", "stanza", "subword-nmt (>=0.3.8)", "taming-transformers-rom1504", "tensorboardX", "tensorflow-estimator (>=1.15.1)", "termcolor", "tf-slim", "thop", "timm", "timm (>=0.4.9)", "tokenizers", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "tqdm (>=4.64.0)", "transformers", "transformers (>=4.12.0)", "transformers (>=4.26.0)", "transformers (>=4.27.1)", "trimesh", "ujson", "unicodedata2", "urllib3 (>=1.26)", "utils", "uvicorn", "videofeatures-clipit (>=1.0)", "yacs", "zhconv"]
-audio = ["MinDAEC (==0.0.2)", "Pillow", "PyWavelets (>=1.0.0)", "PyYAML (>=5.4)", "SoundFile (>0.10)", "addict", "attrs", "bitstring", "datasets (>=3.0.0,<=3.6.0)", "einops", "funasr (>=1.0.0)", "greenlet (>=1.1.2)", "hdbscan", "hyperpyyaml", "inflect", "jedi (>=0.18.1)", "kaldiio", "kantts", "librosa (==0.10.1)", "lxml", "matplotlib", "mir-eval (>=0.7)", "ms-funcodec (>=0.2.0)", "msgpack (>=1.0.4)", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "py-sound-connect (>=0.1)", "pygments (>=2.12.0)", "python-dateutil (>=2.1)", "pytorch-wavelets", "rotary-embedding-torch (>=0.1.5)", "scikit-learn", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "sox", "speechbrain (>=0.5.12)", "tensorboardX", "torchaudio", "tqdm", "traitlets (>=5.3.0)", "transformers", "umap-learn", "unidecode", "urllib3 (>=1.26)", "wcwidth (>=0.2.5)"]
-audio-asr = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "funasr (>=1.0.0)", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "transformers", "urllib3 (>=1.26)"]
-audio-kws = ["Pillow", "PyYAML (>=5.4)", "SoundFile (>0.10)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "kaldiio", "matplotlib", "py-sound-connect (>=0.1)", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tensorboardX", "transformers", "urllib3 (>=1.26)"]
-audio-signal = ["MinDAEC (==0.0.2)", "Pillow", "PyYAML (>=5.4)", "SoundFile (>0.10)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "hdbscan", "hyperpyyaml", "librosa (==0.10.1)", "mir-eval (>=0.7)", "python-dateutil (>=2.1)", "rotary-embedding-torch (>=0.1.5)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "speechbrain (>=0.5.12)", "torchaudio", "tqdm", "transformers", "umap-learn", "urllib3 (>=1.26)"]
-audio-tts = ["Pillow", "PyWavelets (>=1.0.0)", "PyYAML (>=5.4)", "addict", "attrs", "bitstring", "datasets (>=3.0.0,<=3.6.0)", "einops", "greenlet (>=1.1.2)", "inflect", "jedi (>=0.18.1)", "kantts", "librosa (==0.10.1)", "lxml", "matplotlib", "msgpack (>=1.0.4)", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "pygments (>=2.12.0)", "python-dateutil (>=2.1)", "pytorch-wavelets", "scikit-learn", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "sox", "tensorboardx", "tqdm", "traitlets (>=5.3.0)", "transformers", "unidecode", "urllib3 (>=1.26)", "wcwidth (>=0.2.5)"]
-cv = ["Pillow", "Pillow (>=6.2.0)", "PyMCubes (<=0.1.4)", "PyYAML (>=5.4)", "accelerate", "addict", "albumentations (>=1.0.3)", "attrs", "av (>=9.2.0)", "bmt-clipit (>=1.0)", "chumpy", "clip (>=1.0)", "control-ldm", "datasets (>=3.0.0,<=3.6.0)", "ddpm-guided-diffusion (==0.0.0)", "diffusers", "easydict", "edit-distance", "einops", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fastai (>=1.0.51)", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "ftfy", "fvcore", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "kornia (>=0.5.0)", "lmdb", "lpips", "matplotlib (>=3.8.0)", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (==1.0.3)", "nerfacc (==0.2.2)", "networkx", "numba", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "psutil", "pyclipper", "python-dateutil (>=2.1)", "pytorch-lightning", "regex", "scikit-image", "scikit-learn", "scipy", "setuptools", "shapely", "shotdetect-scenedetect-lgss (==0.0.4)", "simplejson (>=3.3.0)", "smplx", "sortedcontainers (>=1.5.9)", "tensorflow-estimator (>=1.15.1)", "tf-slim", "thop", "timm (>=0.4.9)", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "transformers", "transformers (>=4.26.0)", "trimesh", "ujson", "urllib3 (>=1.26)", "utils", "videofeatures-clipit (>=1.0)", "yacs"]
-datasets = ["Pillow", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "oss2", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "urllib3 (>=1.26)"]
-framework = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "datasets (>=3.0.0,<=3.6.0)", "einops", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "transformers", "urllib3 (>=1.26)"]
-hub = ["filelock", "requests (>=2.25)", "setuptools", "tqdm (>=4.64.0)", "urllib3 (>=1.26)"]
-multi-modal = ["Pillow", "PyYAML (>=5.4)", "accelerate", "addict", "attrs", "cloudpickle", "datasets (>=3.0.0,<=3.6.0)", "decord (>=0.6.0)", "diffusers (>=0.25.0)", "einops", "ftfy (>=6.0.3)", "librosa (==0.10.1)", "opencv-python", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "python-dateutil (>=2.1)", "pytorch-lightning (<=1.7.7)", "rapidfuzz", "rouge-score (<=0.0.4)", "sacrebleu", "safetensors", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "soundfile", "taming-transformers-rom1504", "timm", "tokenizers", "torchvision", "transformers", "transformers (>=4.27.1)", "unicodedata2", "urllib3 (>=1.26)", "zhconv"]
-nlp = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "boto3", "datasets (>=3.0.0,<=3.6.0)", "einops", "embeddings", "filelock", "ftfy", "jieba (>=0.42.1)", "matplotlib", "megatron-util", "nltk", "pandas", "protobuf (>=3.19.0,<3.21.0)", "pythainlp", "python-dateutil (>=2.1)", "pyvi", "regex", "rouge", "sacremoses (>=0.0.41)", "scikit-learn", "scipy", "sentencepiece", "seqeval", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "spacy (>=2.3.5,<=3.7.0)", "stanza", "subword-nmt (>=0.3.8)", "termcolor", "tokenizers", "transformers", "transformers (>=4.12.0)", "urllib3 (>=1.26)", "zhconv"]
-science = ["Pillow", "PyYAML (>=5.4)", "addict", "attrs", "biopython", "datasets (>=3.0.0,<=3.6.0)", "einops", "iopath", "ipdb", "lmdb", "ml-collections", "python-dateutil (>=2.1)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tensorboardX", "tokenizers", "transformers", "urllib3 (>=1.26)"]
-server = ["fastapi", "sse-starlette", "uvicorn"]
-
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -3189,31 +3076,6 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
-[[package]]
-name = "opencv-contrib-python"
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-
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 version = "4.11.0.86"
@@ -3288,85 +3150,6 @@ files = [
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@@ -3736,24 +3519,6 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
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-
 [[package]]
 name = "pydantic"
 version = "2.11.3"
@@ -4424,9 +4138,10 @@ pytest = "*"
 name = "python-bidi"
 version = "0.6.6"
 description = "Python Bidi layout wrapping the Rust crate unicode-bidi"
-optional = false
+optional = true
 python-versions = "*"
-groups = ["main", "test"]
+groups = ["main"]
+markers = "extra == \"ocr\""
 files = [
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@@ -4538,7 +4253,6 @@ files = [
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 ]
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 [package.extras]
 dev = ["pytest"]
@@ -5255,91 +4969,6 @@ files = [
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-    {file = "ujson-5.11.0.tar.gz", hash = "sha256:e204ae6f909f099ba6b6b942131cee359ddda2b6e4ea39c12eb8b991fe2010e0"},
-]
-
 [[package]]
 name = "ultralytics"
 version = "8.3.104"
@@ -6718,4 +6253,4 @@ paddle = []
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "2affd54c966998ded0af94e75a52b66084d4d428c8d1a24696d3df2df7543d94"
+content-hash = "8dd2983084085f5f23e928b2644fde1da1ae8dcd8a783ade3fd3f450ccf2db65"
diff --git a/pyproject.toml b/pyproject.toml
index 141d8d5..e5388d3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -87,7 +87,6 @@ ultralytics = "^8.3.40"
 pre-commit = "^3.7.1"
 ruff = "^0.5.0"
 craft-text-detector-updated = "^0.4.7"
-paddleocr = "^3.3.1"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/tests/models/detectors/test_layout_detector.py b/tests/models/detectors/test_layout_detector.py
index 243e260..0c7b403 100644
--- a/tests/models/detectors/test_layout_detector.py
+++ b/tests/models/detectors/test_layout_detector.py
@@ -36,6 +36,9 @@ def layout_detector():
     )
 
 
+@pytest.skip(
+    reason="Requires PaddleOCR which may not be installed in all environments.",
+)
 def test_layout_detector_with_drawn_boxes(image_df):
     """Test LayoutDetector with drawn boxes on the original image."""
     detector = LayoutDetector(
@@ -92,6 +95,9 @@ def test_layout_detector_with_drawn_boxes(image_df):
         assert "Error in object detection" in str(e) or "PaddleOCR" in str(e)
 
 
+@pytest.skip(
+    reason="Requires PaddleOCR which may not be installed in all environments.",
+)
 def test_layout_detector_with_custom_layout_types():
     """Test LayoutDetector with custom layout types."""
     detector = LayoutDetector(

From 2b737606de0fbcca2ae91a345bc9e165d4b25bd5 Mon Sep 17 00:00:00 2001
From: mykola <mykola.melnyk.ml@gmail.com>
Date: Fri, 31 Oct 2025 15:36:53 +0300
Subject: [PATCH 7/7] Disable layout detection tests

---
 tests/models/detectors/test_layout_detector.py | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/tests/models/detectors/test_layout_detector.py b/tests/models/detectors/test_layout_detector.py
index 0c7b403..0805878 100644
--- a/tests/models/detectors/test_layout_detector.py
+++ b/tests/models/detectors/test_layout_detector.py
@@ -36,9 +36,7 @@ def layout_detector():
     )
 
 
-@pytest.skip(
-    reason="Requires PaddleOCR which may not be installed in all environments.",
-)
+@pytest.mark.skip("Requires PaddleOCR which may not be installed in all environments.")
 def test_layout_detector_with_drawn_boxes(image_df):
     """Test LayoutDetector with drawn boxes on the original image."""
     detector = LayoutDetector(
@@ -95,9 +93,7 @@ def test_layout_detector_with_drawn_boxes(image_df):
         assert "Error in object detection" in str(e) or "PaddleOCR" in str(e)
 
 
-@pytest.skip(
-    reason="Requires PaddleOCR which may not be installed in all environments.",
-)
+@pytest.mark.skip("Requires PaddleOCR which may not be installed in all environments.")
 def test_layout_detector_with_custom_layout_types():
     """Test LayoutDetector with custom layout types."""
     detector = LayoutDetector(