diff --git a/README.md b/README.md
index b90bf52..1776125 100644
--- a/README.md
+++ b/README.md
@@ -44,7 +44,9 @@ poetry run python3 src/train.py
 
 The training script supports early stopping, model checkpoints, and tracks the loss function and evaluation metrics (IoU, Precision, Recall, DICE, Pixel accurracy).
 
-4. Predict New Areas
+4. Predictions
+
+**Note:** The predict script can predict on the test dataset (for which you have labels) or on the pictures without annotation. You need to change the parameter `MODE` from `configs/predict/default.yaml` to `predict` (if you want to predict on unnanotated pictures), or `test` if you want to predict on the test dataset. This difference occurs only because in the test dataset we have acces to the shapefile of the school, and we don't have to predict on the entire image.
 
 Once the model is trained, you can use it to generate predictions for new images. The following script takes an input image and outputs the corresponding segmentation mask:
 
@@ -66,3 +68,5 @@ To evaluate the model’s performance on the test dataset, run the metrics scrip
 
 poetry run python3 src/metrics.py
 ```
+
+6. Predict new areas
diff --git a/poetry.lock b/poetry.lock
index cd55f73..7096ca1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,152 +1,157 @@
 # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
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 [package.extras]
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 [[package]]
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+  {file = "aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a"}
 ]
+name = "aiohttp"
+optional = false
+python-versions = ">=3.8"
+version = "3.10.10"
 
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
@@ -161,52 +166,52 @@ yarl = ">=1.12.0,<2.0"
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
-name = "aiosignal"
-version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-optional = false
-python-versions = ">=3.7"
 files = [
-    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
-    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+  {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
+  {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"}
 ]
+name = "aiosignal"
+optional = false
+python-versions = ">=3.7"
+version = "1.3.1"
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
 [[package]]
-name = "albucore"
-version = "0.0.17"
 description = "A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation."
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "albucore-0.0.17-py3-none-any.whl", hash = "sha256:751a6d219a0b5217b44168d5fae90c27eadfa5bc381cbb7cc74536e90aeeac5b"},
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+  {file = "albucore-0.0.17.tar.gz", hash = "sha256:e9956ac4debc47e804f0677ff4e23939ba322986eac16e801f8ea1c98269db65"}
 ]
+name = "albucore"
+optional = false
+python-versions = ">=3.8"
+version = "0.0.17"
 
 [package.dependencies]
 numpy = ">=1.24"
 opencv-python-headless = ">=4.9.0.80"
 
 [[package]]
-name = "albumentations"
-version = "1.4.18"
 description = "Fast, flexible, and advanced image augmentation library for deep learning and computer vision. Albumentations offers a wide range of transformations for images, masks, bounding boxes, and keypoints, with optimized performance and seamless integration into ML workflows."
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "albumentations-1.4.18-py3-none-any.whl", hash = "sha256:57ed0a634de9d3b34d003585aa90e9164e164ccc4ecb797eee8fbad8da1e9eaf"},
-    {file = "albumentations-1.4.18.tar.gz", hash = "sha256:701a9405f059f761f00ce00e187954d01276bdb78b33abcf864e79727db3bf1a"},
+  {file = "albumentations-1.4.18-py3-none-any.whl", hash = "sha256:57ed0a634de9d3b34d003585aa90e9164e164ccc4ecb797eee8fbad8da1e9eaf"},
+  {file = "albumentations-1.4.18.tar.gz", hash = "sha256:701a9405f059f761f00ce00e187954d01276bdb78b33abcf864e79727db3bf1a"}
 ]
+name = "albumentations"
+optional = false
+python-versions = ">=3.8"
+version = "1.4.18"
 
 [package.dependencies]
+PyYAML = "*"
 albucore = "0.0.17"
 eval-type-backport = "*"
 numpy = ">=1.24.4"
 opencv-python-headless = ">=4.9.0.80"
 pydantic = ">=2.7.0"
-PyYAML = "*"
 scikit-image = ">=0.21.0"
 scipy = ">=1.10.0"
 
@@ -215,15 +220,15 @@ hub = ["huggingface-hub"]
 text = ["pillow"]
 
 [[package]]
-name = "alembic"
-version = "1.13.3"
 description = "A database migration tool for SQLAlchemy."
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"},
-    {file = "alembic-1.13.3.tar.gz", hash = "sha256:203503117415561e203aa14541740643a611f641517f0209fcae63e9fa09f1a2"},
+  {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"},
+  {file = "alembic-1.13.3.tar.gz", hash = "sha256:203503117415561e203aa14541740643a611f641517f0209fcae63e9fa09f1a2"}
 ]
+name = "alembic"
+optional = false
+python-versions = ">=3.8"
+version = "1.13.3"
 
 [package.dependencies]
 Mako = "*"
@@ -234,36 +239,36 @@ typing-extensions = ">=4"
 tz = ["backports.zoneinfo"]
 
 [[package]]
-name = "annotated-types"
-version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+  {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+  {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}
 ]
+name = "annotated-types"
+optional = false
+python-versions = ">=3.8"
+version = "0.7.0"
 
 [[package]]
-name = "antlr4-python3-runtime"
-version = "4.9.3"
 description = "ANTLR 4.9.3 runtime for Python 3.7"
-optional = false
-python-versions = "*"
 files = [
-    {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
+  {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"}
 ]
+name = "antlr4-python3-runtime"
+optional = false
+python-versions = "*"
+version = "4.9.3"
 
 [[package]]
-name = "anyio"
-version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
-optional = false
-python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
-    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
+  {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+  {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"}
 ]
+name = "anyio"
+optional = false
+python-versions = ">=3.9"
+version = "4.6.0"
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
@@ -277,26 +282,26 @@ test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypo
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
-name = "appnope"
-version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
-optional = false
-python-versions = ">=3.6"
 files = [
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-    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
+  {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+  {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}
 ]
+name = "appnope"
+optional = false
+python-versions = ">=3.6"
+version = "0.1.4"
 
 [[package]]
-name = "asttokens"
-version = "2.4.1"
 description = "Annotate AST trees with source code positions"
-optional = false
-python-versions = "*"
 files = [
-    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
-    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
+  {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+  {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}
 ]
+name = "asttokens"
+optional = false
+python-versions = "*"
+version = "2.4.1"
 
 [package.dependencies]
 six = ">=1.12.0"
@@ -306,26 +311,26 @@ astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
 test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
-name = "async-timeout"
-version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-optional = false
-python-versions = ">=3.7"
 files = [
-    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
-    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+  {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+  {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"}
 ]
+name = "async-timeout"
+optional = false
+python-versions = ">=3.7"
+version = "4.0.3"
 
 [[package]]
-name = "attrs"
-version = "24.2.0"
 description = "Classes Without Boilerplate"
-optional = false
-python-versions = ">=3.7"
 files = [
-    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+  {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
+  {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}
 ]
+name = "attrs"
+optional = false
+python-versions = ">=3.7"
+version = "24.2.0"
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
@@ -336,46 +341,46 @@ tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
-name = "backoff"
-version = "2.2.1"
 description = "Function decoration for backoff and retry"
-optional = false
-python-versions = ">=3.7,<4.0"
 files = [
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-    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+  {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+  {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"}
 ]
+name = "backoff"
+optional = false
+python-versions = ">=3.7,<4.0"
+version = "2.2.1"
 
 [[package]]
-name = "black"
-version = "24.10.0"
 description = "The uncompromising code formatter."
-optional = false
-python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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+name = "charset-normalizer"
+optional = false
+python-versions = ">=3.7.0"
+version = "3.4.0"
 
 [[package]]
-name = "click"
-version = "8.1.7"
 description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
 files = [
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-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
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 ]
+name = "click"
+optional = false
+python-versions = ">=3.7"
+version = "8.1.7"
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
-name = "click-plugins"
-version = "1.1.1"
 description = "An extension module for click to enable registering CLI commands via setuptools entry-points."
-optional = false
-python-versions = "*"
 files = [
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 ]
+name = "click-plugins"
+optional = false
+python-versions = "*"
+version = "1.1.1"
 
 [package.dependencies]
 click = ">=4.0"
@@ -628,15 +633,15 @@ click = ">=4.0"
 dev = ["coveralls", "pytest (>=3.6)", "pytest-cov", "wheel"]
 
 [[package]]
-name = "cligj"
-version = "0.7.2"
 description = "Click params for commmand line interfaces to GeoJSON"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
 files = [
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 ]
+name = "cligj"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
+version = "0.7.2"
 
 [package.dependencies]
 click = ">=4.0"
@@ -645,37 +650,37 @@ click = ">=4.0"
 test = ["pytest-cov"]
 
 [[package]]
-name = "cloudpickle"
-version = "3.0.0"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
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-python-versions = ">=3.8"
 files = [
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 ]
+name = "cloudpickle"
+optional = false
+python-versions = ">=3.8"
+version = "3.0.0"
 
 [[package]]
-name = "colorama"
-version = "0.4.6"
 description = "Cross-platform colored terminal text."
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
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+name = "colorama"
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+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+version = "0.4.6"
 
 [[package]]
-name = "colorlog"
-version = "6.8.2"
 description = "Add colours to the output of Python's logging module."
-optional = false
-python-versions = ">=3.6"
 files = [
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 ]
+name = "colorlog"
+optional = false
+python-versions = ">=3.6"
+version = "6.8.2"
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
@@ -684,15 +689,15 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
 [[package]]
-name = "comm"
-version = "0.2.2"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"},
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 ]
+name = "comm"
+optional = false
+python-versions = ">=3.8"
+version = "0.2.2"
 
 [package.dependencies]
 traitlets = ">=4"
@@ -701,78 +706,78 @@ traitlets = ">=4"
 test = ["pytest"]
 
 [[package]]
-name = "contourpy"
-version = "1.3.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
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-python-versions = ">=3.9"
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 [package.dependencies]
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@@ -785,86 +790,87 @@ test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
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+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp311-cp311-linux_x86_64.whl", hash = "sha256:2acd756a7ad72c1b7f04849b7960ad02f37eb484e33298d37d210c286d717d1f"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp311-cp311-win_amd64.whl", hash = "sha256:c9344263c87ea60393dc941ade0261712aa469d166c20b0c04339384e5530919"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp312-cp312-linux_x86_64.whl", hash = "sha256:1f75dd87bf153d0d5a528869ab9e41960842a51fc4151e42f8a0c23b8676691f"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp312-cp312-win_amd64.whl", hash = "sha256:c93340eb0ed42b92f195940a1989f10496f5b9b4e25ee50c2544676c0d6c5fca"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp38-cp38-linux_x86_64.whl", hash = "sha256:161dc33a7c07e0e9be0ce92cd78b488907231db0a59a9932ee4f31a78ca18e1b"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp38-cp38-win_amd64.whl", hash = "sha256:cfaea22344fc290f5ee0a49562f0934cb337df4e721757ca79683e9c16c45f2b"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp39-cp39-linux_x86_64.whl", hash = "sha256:13b9a170d2f82768ea9223853a8fabcbda00c1a9dc5d15f11052624283e9fc84"},
+  {file = "detectron2-0.6+2a420edpt2.3.1cu121-cp39-cp39-win_amd64.whl", hash = "sha256:fb9ee9f4a6262628a493282434f59c5a51a273f0818f191c905605acb3078de8"}
 ]
+name = "detectron2"
+optional = false
+python-versions = ">=3.7"
+version = "0.6+2a420edpt2.3.1cu121"
 
 [package.dependencies]
+Pillow = ">=7.1"
 black = "*"
 cloudpickle = "*"
 fvcore = ">=0.1.5,<0.1.6"
@@ -873,7 +879,6 @@ iopath = ">=0.1.7,<0.1.10"
 matplotlib = "*"
 omegaconf = ">=2.1,<2.4"
 packaging = "*"
-Pillow = ">=7.1"
 pycocotools = ">=2.0.2"
 tabulate = "*"
 tensorboard = "*"
@@ -886,84 +891,84 @@ all = ["fairscale", "panopticapi @ https://github.com/cocodataset/panopticapi/ar
 dev = ["black (==22.3.0)", "flake8 (==3.8.1)", "flake8-bugbear", "flake8-comprehensions", "isort (==4.3.21)"]
 
 [package.source]
+reference = "torch_packages_builder"
 type = "legacy"
 url = "https://miropsota.github.io/torch_packages_builder"
-reference = "torch_packages_builder"
 
 [[package]]
-name = "docutils"
-version = "0.21.2"
 description = "Docutils -- Python Documentation Utilities"
-optional = false
-python-versions = ">=3.9"
 files = [
-    {file = "docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2"},
-    {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"},
+  {file = "docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2"},
+  {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"}
 ]
+name = "docutils"
+optional = false
+python-versions = ">=3.9"
+version = "0.21.2"
 
 [[package]]
-name = "einops"
-version = "0.8.0"
 description = "A new flavour of deep learning operations"
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "einops-0.8.0-py3-none-any.whl", hash = "sha256:9572fb63046264a862693b0a87088af3bdc8c068fde03de63453cbbde245465f"},
-    {file = "einops-0.8.0.tar.gz", hash = "sha256:63486517fed345712a8385c100cb279108d9d47e6ae59099b07657e983deae85"},
+  {file = "einops-0.8.0-py3-none-any.whl", hash = "sha256:9572fb63046264a862693b0a87088af3bdc8c068fde03de63453cbbde245465f"},
+  {file = "einops-0.8.0.tar.gz", hash = "sha256:63486517fed345712a8385c100cb279108d9d47e6ae59099b07657e983deae85"}
 ]
+name = "einops"
+optional = false
+python-versions = ">=3.8"
+version = "0.8.0"
 
 [[package]]
-name = "eval-type-backport"
-version = "0.2.0"
 description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
-optional = false
-python-versions = ">=3.8"
 files = [
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+  {file = "eval_type_backport-0.2.0-py3-none-any.whl", hash = "sha256:ac2f73d30d40c5a30a80b8739a789d6bb5e49fdffa66d7912667e2015d9c9933"},
+  {file = "eval_type_backport-0.2.0.tar.gz", hash = "sha256:68796cfbc7371ebf923f03bdf7bef415f3ec098aeced24e054b253a0e78f7b37"}
 ]
+name = "eval-type-backport"
+optional = false
+python-versions = ">=3.8"
+version = "0.2.0"
 
 [package.extras]
 tests = ["pytest"]
 
 [[package]]
-name = "exceptiongroup"
-version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
-optional = false
-python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
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+  {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+  {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}
 ]
+name = "exceptiongroup"
+optional = false
+python-versions = ">=3.7"
+version = "1.2.2"
 
 [package.extras]
 test = ["pytest (>=6)"]
 
 [[package]]
-name = "executing"
-version = "2.1.0"
 description = "Get the currently executing AST node of a frame, and other information"
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
-    {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"},
+  {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
+  {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"}
 ]
+name = "executing"
+optional = false
+python-versions = ">=3.8"
+version = "2.1.0"
 
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
-name = "fastapi"
-version = "0.115.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.115.2-py3-none-any.whl", hash = "sha256:61704c71286579cc5a598763905928f24ee98bfcc07aabe84cfefb98812bbc86"},
-    {file = "fastapi-0.115.2.tar.gz", hash = "sha256:3995739e0b09fa12f984bce8fa9ae197b35d433750d3d312422d846e283697ee"},
+  {file = "fastapi-0.115.2-py3-none-any.whl", hash = "sha256:61704c71286579cc5a598763905928f24ee98bfcc07aabe84cfefb98812bbc86"},
+  {file = "fastapi-0.115.2.tar.gz", hash = "sha256:3995739e0b09fa12f984bce8fa9ae197b35d433750d3d312422d846e283697ee"}
 ]
+name = "fastapi"
+optional = false
+python-versions = ">=3.8"
+version = "0.115.2"
 
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
@@ -975,26 +980,26 @@ all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>
 standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
-name = "ffmpy"
-version = "0.4.0"
 description = "A simple Python wrapper for FFmpeg"
-optional = false
-python-versions = "<4.0.0,>=3.8.1"
 files = [
-    {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
-    {file = "ffmpy-0.4.0.tar.gz", hash = "sha256:131b57794e802ad555f579007497f7a3d0cab0583d37496c685b8acae4837b1d"},
+  {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
+  {file = "ffmpy-0.4.0.tar.gz", hash = "sha256:131b57794e802ad555f579007497f7a3d0cab0583d37496c685b8acae4837b1d"}
 ]
+name = "ffmpy"
+optional = false
+python-versions = "<4.0.0,>=3.8.1"
+version = "0.4.0"
 
 [[package]]
-name = "filelock"
-version = "3.16.1"
 description = "A platform independent file lock."
-optional = false
-python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
-    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
+  {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+  {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"}
 ]
+name = "filelock"
+optional = false
+python-versions = ">=3.8"
+version = "3.16.1"
 
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
@@ -1002,61 +1007,61 @@ testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "p
 typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
-name = "fonttools"
-version = "4.54.1"
 description = "Tools to manipulate font files"
-optional = false
-python-versions = ">=3.8"
 files = [
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+python-versions = ">=3.8"
+version = "1.4.1"
 
 [[package]]
-name = "fsspec"
-version = "2024.9.0"
 description = "File-system specification"
-optional = false
-python-versions = ">=3.8"
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+optional = false
+python-versions = ">=3.8"
+version = "2024.9.0"
 
 [package.dependencies]
 aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
@@ -1201,19 +1206,19 @@ test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "d
 tqdm = ["tqdm"]
 
 [[package]]
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-python-versions = ">=3.6"
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 ]
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+optional = false
+python-versions = ">=3.6"
+version = "0.1.5.post20221221"
 
 [package.dependencies]
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 iopath = ">=0.1.7"
 numpy = "*"
-Pillow = "*"
 pyyaml = ">=5.1"
 tabulate = "*"
 termcolor = ">=1.1"
@@ -1224,15 +1229,15 @@ yacs = ">=0.1.6"
 all = ["shapely"]
 
 [[package]]
-name = "geopandas"
-version = "1.0.1"
 description = "Geographic pandas extensions"
-optional = false
-python-versions = ">=3.9"
 files = [
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 ]
+name = "geopandas"
+optional = false
+python-versions = ">=3.9"
+version = "1.0.1"
 
 [package.dependencies]
 numpy = ">=1.22"
@@ -1247,15 +1252,15 @@ all = ["GeoAlchemy2", "SQLAlchemy (>=1.3)", "folium", "geopy", "mapclassify", "m
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 [[package]]
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 description = "Python library for easily interacting with trained machine learning models"
-optional = false
-python-versions = ">=3.10"
 files = [
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 ]
+name = "gradio"
+optional = false
+python-versions = ">=3.10"
+version = "5.0.1"
 
 [package.dependencies]
 aiofiles = ">=22.0,<24.0"
@@ -1288,15 +1293,15 @@ uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""}
 oauth = ["authlib", "itsdangerous"]
 
 [[package]]
-name = "gradio-client"
-version = "1.4.0"
 description = "Python library for easily interacting with trained machine learning models"
-optional = false
-python-versions = ">=3.10"
 files = [
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 ]
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+optional = false
+python-versions = ">=3.10"
+version = "1.4.0"
 
 [package.dependencies]
 fsspec = "*"
@@ -1307,179 +1312,179 @@ typing-extensions = ">=4.0,<5.0"
 websockets = ">=10.0,<13.0"
 
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 [package.extras]
 docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
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+optional = false
+python-versions = ">=3.8"
+version = "1.66.2"
 
 [package.extras]
 protobuf = ["grpcio-tools (>=1.66.2)"]
 
 [[package]]
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-version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
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 ]
+name = "h11"
+optional = false
+python-versions = ">=3.7"
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 [[package]]
-name = "httpcore"
-version = "1.0.6"
 description = "A minimal low-level HTTP client."
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "httpcore"
+optional = false
+python-versions = ">=3.8"
+version = "1.0.6"
 
 [package.dependencies]
 certifi = "*"
@@ -1492,15 +1497,15 @@ socks = ["socksio (==1.*)"]
 trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
-name = "httpx"
-version = "0.27.2"
 description = "The next generation HTTP client."
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-python-versions = ">=3.8"
 files = [
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 ]
+name = "httpx"
+optional = false
+python-versions = ">=3.8"
+version = "0.27.2"
 
 [package.dependencies]
 anyio = "*"
@@ -1517,15 +1522,15 @@ socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
-name = "huggingface-hub"
-version = "0.25.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-optional = false
-python-versions = ">=3.8.0"
 files = [
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 ]
+name = "huggingface-hub"
+optional = false
+python-versions = ">=3.8.0"
+version = "0.25.2"
 
 [package.dependencies]
 filelock = "*"
@@ -1551,15 +1556,15 @@ torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
-name = "hydra-core"
-version = "1.3.2"
 description = "A framework for elegantly configuring complex applications"
-optional = false
-python-versions = "*"
 files = [
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 ]
+name = "hydra-core"
+optional = false
+python-versions = "*"
+version = "1.3.2"
 
 [package.dependencies]
 antlr4-python3-runtime = "==4.9.*"
@@ -1567,29 +1572,29 @@ omegaconf = ">=2.2,<2.4"
 packaging = "*"
 
 [[package]]
-name = "idna"
-version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
-optional = false
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 files = [
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 ]
+name = "idna"
+optional = false
+python-versions = ">=3.6"
+version = "3.10"
 
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
 [[package]]
-name = "imageio"
-version = "2.36.0"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
-optional = false
-python-versions = ">=3.9"
 files = [
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-    {file = "imageio-2.36.0.tar.gz", hash = "sha256:1c8f294db862c256e9562354d65aa54725b8dafed7f10f02bb3ec20ec1678850"},
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+  {file = "imageio-2.36.0.tar.gz", hash = "sha256:1c8f294db862c256e9562354d65aa54725b8dafed7f10f02bb3ec20ec1678850"}
 ]
+name = "imageio"
+optional = false
+python-versions = ">=3.9"
+version = "2.36.0"
 
 [package.dependencies]
 numpy = "*"
@@ -1614,43 +1619,43 @@ test = ["fsspec[github]", "pytest", "pytest-cov"]
 tifffile = ["tifffile"]
 
 [[package]]
-name = "intel-openmp"
-version = "2021.4.0"
 description = "Intel OpenMP* Runtime Library"
-optional = false
-python-versions = "*"
 files = [
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 ]
+name = "intel-openmp"
+optional = false
+python-versions = "*"
+version = "2021.4.0"
 
 [[package]]
-name = "iopath"
-version = "0.1.9"
 description = "A library for providing I/O abstraction."
-optional = false
-python-versions = ">=3.6"
 files = [
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 ]
+name = "iopath"
+optional = false
+python-versions = ">=3.6"
+version = "0.1.9"
 
 [package.dependencies]
 portalocker = "*"
 tqdm = "*"
 
 [[package]]
-name = "ipykernel"
-version = "6.29.5"
 description = "IPython Kernel for Jupyter"
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "ipykernel"
+optional = false
+python-versions = ">=3.8"
+version = "6.29.5"
 
 [package.dependencies]
 appnope = {version = "*", markers = "platform_system == \"Darwin\""}
@@ -1675,15 +1680,15 @@ pyside6 = ["pyside6"]
 test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
-name = "ipython"
-version = "8.28.0"
 description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.10"
 files = [
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 ]
+name = "ipython"
+optional = false
+python-versions = ">=3.10"
+version = "8.28.0"
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
@@ -1713,26 +1718,26 @@ test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpat
 test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
 [[package]]
-name = "itsdangerous"
-version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "itsdangerous"
+optional = false
+python-versions = ">=3.8"
+version = "2.2.0"
 
 [[package]]
-name = "jedi"
-version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
-optional = false
-python-versions = ">=3.6"
 files = [
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 ]
+name = "jedi"
+optional = false
+python-versions = ">=3.6"
+version = "0.19.1"
 
 [package.dependencies]
 parso = ">=0.8.3,<0.9.0"
@@ -1743,15 +1748,15 @@ qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
 testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
-name = "jinja2"
-version = "3.1.4"
 description = "A very fast and expressive template engine."
-optional = false
-python-versions = ">=3.7"
 files = [
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 ]
+name = "jinja2"
+optional = false
+python-versions = ">=3.7"
+version = "3.1.4"
 
 [package.dependencies]
 MarkupSafe = ">=2.0"
@@ -1760,26 +1765,26 @@ MarkupSafe = ">=2.0"
 i18n = ["Babel (>=2.7)"]
 
 [[package]]
-name = "joblib"
-version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "joblib"
+optional = false
+python-versions = ">=3.8"
+version = "1.4.2"
 
 [[package]]
-name = "jupyter-client"
-version = "8.6.3"
 description = "Jupyter protocol implementation and client libraries"
-optional = false
-python-versions = ">=3.8"
 files = [
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+name = "jupyter-client"
+optional = false
+python-versions = ">=3.8"
+version = "8.6.3"
 
 [package.dependencies]
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
@@ -1793,15 +1798,15 @@ docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphi
 test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
 
 [[package]]
-name = "jupyter-core"
-version = "5.7.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "jupyter-core"
+optional = false
+python-versions = ">=3.8"
+version = "5.7.2"
 
 [package.dependencies]
 platformdirs = ">=2.5"
@@ -1813,138 +1818,138 @@ docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphin
 test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
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-python-versions = ">=3.8"
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+python-versions = ">=3.8"
+version = "1.4.7"
 
 [[package]]
-name = "lazy-loader"
-version = "0.4"
 description = "Makes it easy to load subpackages and functions on demand."
-optional = false
-python-versions = ">=3.7"
 files = [
-    {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
-    {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"},
+  {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
+  {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"}
 ]
+name = "lazy-loader"
+optional = false
+python-versions = ">=3.7"
+version = "0.4"
 
 [package.dependencies]
 packaging = "*"
@@ -1955,22 +1960,22 @@ lint = ["pre-commit (==3.7.0)"]
 test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 
 [[package]]
-name = "lightning"
-version = "2.4.0"
 description = "The Deep Learning framework to train, deploy, and ship AI products Lightning fast."
-optional = false
-python-versions = ">=3.9"
 files = [
-    {file = "lightning-2.4.0-py3-none-any.whl", hash = "sha256:560163af9711cf59055c448232c473150a299089efce0d2be3cc3288082d8768"},
-    {file = "lightning-2.4.0.tar.gz", hash = "sha256:9156604cc56e4b2b603f34fa7f0fe5107375c8e6d85e74544b319a15faa9ed0e"},
+  {file = "lightning-2.4.0-py3-none-any.whl", hash = "sha256:560163af9711cf59055c448232c473150a299089efce0d2be3cc3288082d8768"},
+  {file = "lightning-2.4.0.tar.gz", hash = "sha256:9156604cc56e4b2b603f34fa7f0fe5107375c8e6d85e74544b319a15faa9ed0e"}
 ]
+name = "lightning"
+optional = false
+python-versions = ">=3.9"
+version = "2.4.0"
 
 [package.dependencies]
+PyYAML = ">=5.4,<8.0"
 fsspec = {version = ">=2022.5.0,<2026.0", extras = ["http"]}
 lightning-utilities = ">=0.10.0,<2.0"
 packaging = ">=20.0,<25.0"
 pytorch-lightning = "*"
-PyYAML = ">=5.4,<8.0"
 torch = ">=2.1.0,<4.0"
 torchmetrics = ">=0.7.0,<3.0"
 tqdm = ">=4.57.0,<6.0"
@@ -1997,15 +2002,15 @@ strategies = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)"]
 test = ["click (==8.1.7)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2,<2.0)", "onnx (>=1.12.0,<2.0)", "onnxruntime (>=1.12.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.7.0,<2.0)", "uvicorn"]
 
 [[package]]
-name = "lightning-utilities"
-version = "0.11.7"
 description = "Lightning toolbox for across the our ecosystem."
-optional = false
-python-versions = ">=3.8"
 files = [
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+  {file = "lightning_utilities-0.11.7-py3-none-any.whl", hash = "sha256:84eebbc700edbfaa6c005458fc911a7fe7f99f02970b00cb322b4d2767deba98"},
+  {file = "lightning_utilities-0.11.7.tar.gz", hash = "sha256:7e8458a9f0bfb51ffe6c5ab3957aa37b2792fe8281dd9f1b66aa513a558ec4ce"}
 ]
+name = "lightning-utilities"
+optional = false
+python-versions = ">=3.8"
+version = "0.11.7"
 
 [package.dependencies]
 packaging = ">=17.1"
@@ -2018,15 +2023,15 @@ docs = ["requests (>=2.0.0)"]
 typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
-name = "mako"
-version = "1.3.5"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
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+  {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"}
 ]
+name = "mako"
+optional = false
+python-versions = ">=3.8"
+version = "1.3.5"
 
 [package.dependencies]
 MarkupSafe = ">=0.9.2"
@@ -2037,15 +2042,15 @@ lingua = ["lingua"]
 testing = ["pytest"]
 
 [[package]]
-name = "marimo"
-version = "0.9.10"
 description = "A library for making reactive notebooks and apps"
-optional = false
-python-versions = ">=3.9"
 files = [
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 ]
+name = "marimo"
+optional = false
+python-versions = ">=3.9"
+version = "0.9.10"
 
 [package.dependencies]
 click = ">=8.0,<9"
@@ -2072,30 +2077,30 @@ docs = ["autoclasstoc (>=1.6.0,<1.7.0)", "furo (==2024.8.6)", "myst-parser (>=3.
 sql = ["duckdb (>=1.0.0)"]
 
 [[package]]
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-version = "3.7"
 description = "Python implementation of John Gruber's Markdown."
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2"},
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+  {file = "markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2"}
 ]
+name = "markdown"
+optional = false
+python-versions = ">=3.8"
+version = "3.7"
 
 [package.extras]
 docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
 testing = ["coverage", "pyyaml"]
 
 [[package]]
-name = "markdown-it-py"
-version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = false
-python-versions = ">=3.8"
 files = [
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+  {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
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 ]
+name = "markdown-it-py"
+optional = false
+python-versions = ">=3.8"
+version = "3.0.0"
 
 [package.dependencies]
 mdurl = ">=0.1,<1.0"
@@ -2111,122 +2116,122 @@ rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "
 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
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 [package.dependencies]
 contourpy = ">=1.0.1"
@@ -2243,58 +2248,58 @@ python-dateutil = ">=2.7"
 dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
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 [package.dependencies]
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 [package.dependencies]
 intel-openmp = "==2021.*"
 tbb = "==2021.*"
 
 [[package]]
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 description = "Python library for arbitrary-precision floating-point arithmetic"
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 ]
+name = "mpmath"
+optional = false
+python-versions = "*"
+version = "1.3.0"
 
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
@@ -2303,130 +2308,130 @@ gmpy = ["gmpy2 (>=2.1.0a4)"]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
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 description = "multidict implementation"
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 [[package]]
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 description = "CUBLAS native runtime libraries"
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 [[package]]
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 description = "CUDA profiling tools runtime libs."
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 [[package]]
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 description = "NVRTC native runtime libraries"
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 [[package]]
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 description = "CUDA Runtime native Libraries"
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 [[package]]
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+optional = false
+python-versions = ">=3"
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 [package.dependencies]
 nvidia-cublas-cu12 = "*"
 
 [[package]]
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 description = "CUFFT native runtime libraries"
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+name = "nvidia-cufft-cu12"
+optional = false
+python-versions = ">=3"
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 [[package]]
-name = "nvidia-curand-cu12"
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 description = "CURAND native runtime libraries"
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-python-versions = ">=3"
 files = [
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+name = "nvidia-curand-cu12"
+optional = false
+python-versions = ">=3"
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 [[package]]
-name = "nvidia-cusolver-cu12"
-version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
-optional = false
-python-versions = ">=3"
 files = [
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 ]
+name = "nvidia-cusolver-cu12"
+optional = false
+python-versions = ">=3"
+version = "11.4.5.107"
 
 [package.dependencies]
 nvidia-cublas-cu12 = "*"
@@ -2624,129 +2629,129 @@ nvidia-cusparse-cu12 = "*"
 nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
-name = "nvidia-cusparse-cu12"
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 description = "CUSPARSE native runtime libraries"
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 files = [
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 ]
+name = "nvidia-cusparse-cu12"
+optional = false
+python-versions = ">=3"
+version = "12.1.0.106"
 
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
-name = "nvidia-nccl-cu12"
-version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
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-python-versions = ">=3"
 files = [
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 ]
+name = "nvidia-nccl-cu12"
+optional = false
+python-versions = ">=3"
+version = "2.20.5"
 
 [[package]]
-name = "nvidia-nvjitlink-cu12"
-version = "12.6.77"
 description = "Nvidia JIT LTO Library"
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-python-versions = ">=3"
 files = [
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 ]
+name = "nvidia-nvjitlink-cu12"
+optional = false
+python-versions = ">=3"
+version = "12.6.77"
 
 [[package]]
-name = "nvidia-nvtx-cu12"
-version = "12.1.105"
 description = "NVIDIA Tools Extension"
-optional = false
-python-versions = ">=3"
 files = [
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 ]
+name = "nvidia-nvtx-cu12"
+optional = false
+python-versions = ">=3"
+version = "12.1.105"
 
 [[package]]
-name = "omegaconf"
-version = "2.3.0"
 description = "A flexible configuration library"
-optional = false
-python-versions = ">=3.6"
 files = [
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+  {file = "omegaconf-2.3.0.tar.gz", hash = "sha256:d5d4b6d29955cc50ad50c46dc269bcd92c6e00f5f90d23ab5fee7bfca4ba4cc7"}
 ]
+name = "omegaconf"
+optional = false
+python-versions = ">=3.6"
+version = "2.3.0"
 
 [package.dependencies]
-antlr4-python3-runtime = "==4.9.*"
 PyYAML = ">=5.1.0"
+antlr4-python3-runtime = "==4.9.*"
 
 [[package]]
-name = "opencv-python"
-version = "4.10.0.84"
 description = "Wrapper package for OpenCV python bindings."
-optional = false
-python-versions = ">=3.6"
 files = [
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+  {file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09a332b50488e2dda866a6c5573ee192fe3583239fb26ff2f7f9ceb0bc119ea6"},
+  {file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ace140fc6d647fbe1c692bcb2abce768973491222c067c131d80957c595b71f"},
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+  {file = "opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:32dbbd94c26f611dc5cc6979e6b7aa1f55a64d6b463cc1dcd3c95505a63e48fe"}
 ]
+name = "opencv-python"
+optional = false
+python-versions = ">=3.6"
+version = "4.10.0.84"
 
 [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 = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+  {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""}
 ]
 
 [[package]]
-name = "opencv-python-headless"
-version = "4.10.0.84"
 description = "Wrapper package for OpenCV python bindings."
-optional = false
-python-versions = ">=3.6"
 files = [
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+  {file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46071015ff9ab40fccd8a163da0ee14ce9846349f06c6c8c0f2870856ffa45db"},
+  {file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:377d08a7e48a1405b5e84afcbe4798464ce7ee17081c1c23619c8b398ff18295"},
+  {file = "opencv_python_headless-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:9092404b65458ed87ce932f613ffbb1106ed2c843577501e5768912360fc50ec"},
+  {file = "opencv_python_headless-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:afcf28bd1209dd58810d33defb622b325d3cbe49dcd7a43a902982c33e5fad05"}
 ]
+name = "opencv-python-headless"
+optional = false
+python-versions = ">=3.6"
+version = "4.10.0.84"
 
 [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 = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+  {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""}
 ]
 
 [[package]]
-name = "optuna"
-version = "4.0.0"
 description = "A hyperparameter optimization framework"
-optional = false
-python-versions = ">=3.7"
 files = [
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+  {file = "optuna-4.0.0-py3-none-any.whl", hash = "sha256:a825c32d13f6085bcb2229b2724a5078f2e0f61a7533e800e580ce41a8c6c10d"},
+  {file = "optuna-4.0.0.tar.gz", hash = "sha256:844949f09e2a7353ab414e9cfd783cf0a647a65fc32a7236212ed6a37fe08973"}
 ]
+name = "optuna"
+optional = false
+python-versions = ">=3.7"
+version = "4.0.0"
 
 [package.dependencies]
+PyYAML = "*"
 alembic = ">=1.5.0"
 colorlog = "*"
 numpy = "*"
 packaging = ">=20.0"
-PyYAML = "*"
 sqlalchemy = ">=1.3.0"
 tqdm = "*"
 
@@ -2758,132 +2763,132 @@ optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=
 test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
 
 [[package]]
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 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
-optional = false
-python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 ]
+name = "pillow"
+optional = false
+python-versions = ">=3.8"
+version = "10.4.0"
 
 [package.extras]
 docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
@@ -3054,15 +3059,15 @@ typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
 [[package]]
-name = "platformdirs"
-version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "platformdirs"
+optional = false
+python-versions = ">=3.8"
+version = "4.3.6"
 
 [package.extras]
 docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
@@ -3070,15 +3075,15 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-
 type = ["mypy (>=1.11.2)"]
 
 [[package]]
-name = "portalocker"
-version = "2.10.1"
 description = "Wraps the portalocker recipe for easy usage"
-optional = false
-python-versions = ">=3.8"
 files = [
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+  {file = "portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f"}
 ]
+name = "portalocker"
+optional = false
+python-versions = ">=3.8"
+version = "2.10.1"
 
 [package.dependencies]
 pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""}
@@ -3089,263 +3094,263 @@ redis = ["redis"]
 tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
 
 [[package]]
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 description = "Library for building powerful interactive command lines in Python"
-optional = false
-python-versions = ">=3.7.0"
 files = [
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+  {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"}
 ]
+name = "prompt-toolkit"
+optional = false
+python-versions = ">=3.7.0"
+version = "3.0.48"
 
 [package.dependencies]
 wcwidth = "*"
 
 [[package]]
-name = "propcache"
-version = "0.2.0"
 description = "Accelerated property cache"
-optional = false
-python-versions = ">=3.8"
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 ]
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+optional = false
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 [package.dependencies]
 affine = "*"
@@ -3925,15 +3930,15 @@ s3 = ["boto3 (>=1.2.4)"]
 test = ["boto3 (>=1.2.4)", "fsspec", "hypothesis", "packaging", "pytest (>=2.8.2)", "pytest-cov (>=2.2.0)", "shapely"]
 
 [[package]]
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 description = "Python HTTP for Humans."
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 ]
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 [package.dependencies]
 certifi = ">=2017.4.17"
@@ -3946,15 +3951,15 @@ socks = ["PySocks (>=1.5.6,!=1.5.7)"]
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 [package.dependencies]
 markdown-it-py = ">=2.2.0"
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 [package.dependencies]
 joblib = ">=1.2.0"
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 ]
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+optional = false
+python-versions = ">=3.10"
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 [package.dependencies]
 numpy = ">=1.23.5,<2.3"
@@ -4140,30 +4145,30 @@ doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext"
 test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
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 description = "A library implementing the 'SemVer' scheme."
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 [package.extras]
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 [[package]]
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 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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 ]
+name = "setuptools"
+optional = false
+python-versions = ">=3.8"
+version = "75.1.0"
 
 [package.extras]
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 [package.dependencies]
 numpy = ">=1.14,<3"
@@ -4233,95 +4238,95 @@ docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphi
 test = ["pytest", "pytest-cov"]
 
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 ]
+name = "sqlalchemy"
+optional = false
+python-versions = ">=3.7"
+version = "2.0.35"
 
 [package.dependencies]
 greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
@@ -4353,15 +4358,15 @@ pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
-name = "stack-data"
-version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
-optional = false
-python-versions = "*"
 files = [
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 ]
+name = "stack-data"
+optional = false
+python-versions = "*"
+version = "0.6.3"
 
 [package.dependencies]
 asttokens = ">=2.1.0"
@@ -4372,15 +4377,15 @@ pure-eval = "*"
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
-name = "starlette"
-version = "0.40.0"
 description = "The little ASGI library that shines."
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "starlette-0.40.0.tar.gz", hash = "sha256:1a3139688fb298ce5e2d661d37046a66ad996ce94be4d4983be019a23a04ea35"},
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 ]
+name = "starlette"
+optional = false
+python-versions = ">=3.8"
+version = "0.40.0"
 
 [package.dependencies]
 anyio = ">=3.4.0,<5"
@@ -4389,15 +4394,15 @@ anyio = ">=3.4.0,<5"
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
 
 [[package]]
-name = "sympy"
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 description = "Computer algebra system (CAS) in Python"
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "sympy"
+optional = false
+python-versions = ">=3.8"
+version = "1.13.3"
 
 [package.dependencies]
 mpmath = ">=1.1.0,<1.4"
@@ -4406,41 +4411,41 @@ mpmath = ">=1.1.0,<1.4"
 dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
 [[package]]
-name = "tabulate"
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 description = "Pretty-print tabular data"
-optional = false
-python-versions = ">=3.7"
 files = [
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+  {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}
 ]
+name = "tabulate"
+optional = false
+python-versions = ">=3.7"
+version = "0.9.0"
 
 [package.extras]
 widechars = ["wcwidth"]
 
 [[package]]
-name = "tbb"
-version = "2021.13.1"
 description = "Intel® oneAPI Threading Building Blocks (oneTBB)"
-optional = false
-python-versions = "*"
 files = [
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 ]
+name = "tbb"
+optional = false
+python-versions = "*"
+version = "2021.13.1"
 
 [[package]]
-name = "tensorboard"
-version = "2.17.0"
 description = "TensorBoard lets you watch Tensors Flow"
-optional = false
-python-versions = ">=3.9"
 files = [
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 ]
+name = "tensorboard"
+optional = false
+python-versions = ">=3.9"
+version = "2.17.0"
 
 [package.dependencies]
 absl-py = ">=0.4"
@@ -4454,52 +4459,52 @@ tensorboard-data-server = ">=0.7.0,<0.8.0"
 werkzeug = ">=1.0.1"
 
 [[package]]
-name = "tensorboard-data-server"
-version = "0.7.2"
 description = "Fast data loading for TensorBoard"
-optional = false
-python-versions = ">=3.7"
 files = [
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 ]
+name = "tensorboard-data-server"
+optional = false
+python-versions = ">=3.7"
+version = "0.7.2"
 
 [[package]]
-name = "termcolor"
-version = "2.5.0"
 description = "ANSI color formatting for output in terminal"
-optional = false
-python-versions = ">=3.9"
 files = [
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+name = "termcolor"
+optional = false
+python-versions = ">=3.9"
+version = "2.5.0"
 
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
 [[package]]
-name = "threadpoolctl"
-version = "3.5.0"
 description = "threadpoolctl"
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "threadpoolctl"
+optional = false
+python-versions = ">=3.8"
+version = "3.5.0"
 
 [[package]]
-name = "tifffile"
-version = "2024.9.20"
 description = "Read and write TIFF files"
-optional = false
-python-versions = ">=3.10"
 files = [
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 ]
+name = "tifffile"
+optional = false
+python-versions = ">=3.10"
+version = "2024.9.20"
 
 [package.dependencies]
 numpy = "*"
@@ -4513,55 +4518,55 @@ xml = ["defusedxml", "lxml"]
 zarr = ["fsspec", "zarr"]
 
 [[package]]
-name = "tomli"
-version = "2.0.2"
 description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
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 ]
+name = "tomli"
+optional = false
+python-versions = ">=3.8"
+version = "2.0.2"
 
 [[package]]
-name = "tomlkit"
-version = "0.12.0"
 description = "Style preserving TOML library"
-optional = false
-python-versions = ">=3.7"
 files = [
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+name = "tomlkit"
+optional = false
+python-versions = ">=3.7"
+version = "0.12.0"
 
 [[package]]
-name = "torch"
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 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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-python-versions = ">=3.8.0"
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 [package.dependencies]
 filelock = "*"
@@ -4589,15 +4594,15 @@ opt-einsum = ["opt-einsum (>=3.3)"]
 optree = ["optree (>=0.9.1)"]
 
 [[package]]
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 [package.dependencies]
 lightning-utilities = ">=0.8.0"
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 [package.dependencies]
 numpy = "*"
@@ -4655,35 +4660,35 @@ torch = "2.3.1"
 scipy = ["scipy"]
 
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-    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+  {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+  {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"}
 ]
+name = "tqdm"
+optional = false
+python-versions = ">=3.7"
+version = "4.66.4"
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
@@ -4695,34 +4700,34 @@ slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
-name = "traitlets"
-version = "5.14.3"
 description = "Traitlets Python configuration system"
-optional = false
-python-versions = ">=3.8"
 files = [
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-    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
+  {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+  {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}
 ]
+name = "traitlets"
+optional = false
+python-versions = ">=3.8"
+version = "5.14.3"
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
-name = "triton"
-version = "2.3.1"
 description = "A language and compiler for custom Deep Learning operations"
-optional = false
-python-versions = "*"
 files = [
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+  {file = "triton-2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eaf80e8761a9e3498aa92e7bf83a085b31959c61f5e8ac14eedd018df6fccd10"},
+  {file = "triton-2.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b13bf35a2b659af7159bf78e92798dc62d877aa991de723937329e2d382f1991"},
+  {file = "triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63381e35ded3304704ea867ffde3b7cfc42c16a55b3062d41e017ef510433d66"},
+  {file = "triton-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d968264523c7a07911c8fb51b4e0d1b920204dae71491b1fe7b01b62a31e124"}
 ]
+name = "triton"
+optional = false
+python-versions = "*"
+version = "2.3.1"
 
 [package.dependencies]
 filelock = "*"
@@ -4733,15 +4738,15 @@ tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "t
 tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
 [[package]]
-name = "typer"
-version = "0.12.5"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.7"
 files = [
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-    {file = "typer-0.12.5.tar.gz", hash = "sha256:f592f089bedcc8ec1b974125d64851029c3b1af145f04aca64d69410f0c9b722"},
+  {file = "typer-0.12.5-py3-none-any.whl", hash = "sha256:62fe4e471711b147e3365034133904df3e235698399bc4de2b36c8579298d52b"},
+  {file = "typer-0.12.5.tar.gz", hash = "sha256:f592f089bedcc8ec1b974125d64851029c3b1af145f04aca64d69410f0c9b722"}
 ]
+name = "typer"
+optional = false
+python-versions = ">=3.7"
+version = "0.12.5"
 
 [package.dependencies]
 click = ">=8.0.0"
@@ -4750,37 +4755,37 @@ shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
 [[package]]
-name = "typing-extensions"
-version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
-optional = false
-python-versions = ">=3.8"
 files = [
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+  {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+  {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}
 ]
+name = "typing-extensions"
+optional = false
+python-versions = ">=3.8"
+version = "4.12.2"
 
 [[package]]
-name = "tzdata"
-version = "2024.2"
 description = "Provider of IANA time zone data"
-optional = false
-python-versions = ">=2"
 files = [
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+  {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"}
 ]
+name = "tzdata"
+optional = false
+python-versions = ">=2"
+version = "2024.2"
 
 [[package]]
-name = "urllib3"
-version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-optional = false
-python-versions = ">=3.8"
 files = [
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+  {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
+  {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"}
 ]
+name = "urllib3"
+optional = false
+python-versions = ">=3.8"
+version = "2.2.3"
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
@@ -4789,15 +4794,15 @@ socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
-name = "uvicorn"
-version = "0.31.1"
 description = "The lightning-fast ASGI server."
-optional = false
-python-versions = ">=3.8"
 files = [
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 ]
+name = "uvicorn"
+optional = false
+python-versions = ">=3.8"
+version = "0.31.1"
 
 [package.dependencies]
 click = ">=7.0"
@@ -4808,107 +4813,107 @@ typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
-name = "wcwidth"
-version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
-optional = false
-python-versions = "*"
 files = [
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 ]
+name = "wcwidth"
+optional = false
+python-versions = "*"
+version = "0.2.13"
 
 [[package]]
-name = "websockets"
-version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
-optional = false
-python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 MarkupSafe = ">=2.1.1"
@@ -4917,133 +4922,128 @@ MarkupSafe = ">=2.1.1"
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 [package.dependencies]
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+  {file = "yarl-1.15.2.tar.gz", hash = "sha256:a39c36f4218a5bb668b4f06874d676d35a035ee668e6e7e3538835c703634b84"}
 ]
+name = "yarl"
+optional = false
+python-versions = ">=3.8"
+version = "1.15.2"
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.0"
-
-[metadata]
-lock-version = "2.0"
-python-versions = "~=3.10.0"
-content-hash = "e6daf0396bd0050537680537dc3fda76d236bbce4e96e374ee1513790bdde463"
diff --git a/pyproject.toml b/pyproject.toml
index 3564895..244f653 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,6 +19,7 @@ detectron2 = {version = "0.6+2a420edpt2.3.1cu121", source = "torch_packages_buil
 einops = "0.8.0"
 geopandas = "1.0.1"
 gradio = "^5.0.0"
+hydra-core = "^1.3.2"
 lightning = "^2.4.0"
 marimo = "^0.9.10"
 matplotlib = "^3.9.0"
diff --git a/src/predict.py b/src/predict.py
index d09b19c..a7d205b 100755
--- a/src/predict.py
+++ b/src/predict.py
@@ -76,7 +76,10 @@ def apply_ignore_index(predicted_mask, ground_truth_mask, ignore_value=-1):
     return predicted_mask
 
 
-def predict_image(image_path, mask_path, model, output_mask_path):
+def predict_test_image(image_path, mask_path, model, output_mask_path):
+    if not os.path.exists(output_mask_path):
+        os.makedirs(output_mask_path)
+
     input_tensor, original_size = preprocess_image(image_path)
     with torch.no_grad():
         output = model(input_tensor)["out"]
@@ -107,18 +110,145 @@ def predict_image(image_path, mask_path, model, output_mask_path):
     print(f"Predicted mask saved at {pred_mask_name}")
 
 
+def patch_and_pad_image(image, patch_size=512, overlap=0):
+    """
+    Divide an image into patches of the given size, with optional overlap.
+
+    Args:
+        image (PIL.Image): The input image.
+        patch_size (int): The size of each square patch (default: 512).
+        overlap (int): The overlap between adjacent patches (default: 0).
+
+    Returns:
+        patches (list): List of image patches as NumPy arrays and their top-left coordinates.
+        padded_size (tuple): Dimensions of the padded image (width, height).
+        original_size (tuple): Original dimensions of the image (width, height).
+    """
+    original_width, original_height = image.size
+
+    # Calculate padding
+    pad_width = (patch_size - (original_width % patch_size)) % patch_size
+    pad_height = (patch_size - (original_height % patch_size)) % patch_size
+
+    padded_width = original_width + pad_width
+    padded_height = original_height + pad_height
+
+    # Pad the image
+    padded_image = Image.new("RGB", (padded_width, padded_height))
+    padded_image.paste(image, (0, 0))
+
+    # Divide into patches
+    patches = []
+    step = patch_size - overlap  # Adjust step size based on overlap
+    for y in range(0, padded_height, step):
+        for x in range(0, padded_width, step):
+            patch = padded_image.crop((x, y, x + patch_size, y + patch_size))
+            patches.append((patch, (x, y)))
+
+    return patches, (padded_width, padded_height), (original_width, original_height)
+
+
+def stitch_patches(patches, padded_size, original_size, patch_size=512):
+    """
+    Combine patches back into a single image, trimming any padding.
+
+    Args:
+        patches (list): List of predicted patches as NumPy arrays.
+        padded_size (tuple): Dimensions of the padded image (width, height).
+        original_size (tuple): Original dimensions of the image (width, height).
+        patch_size (int): The size of each square patch (default: 512).
+
+    Returns:
+        stitched_image (PIL.Image): The reconstructed image without padding.
+    """
+    padded_width, padded_height = padded_size
+    original_width, original_height = original_size
+
+    # Create a blank array for the full padded image
+    full_image = np.zeros((padded_height, padded_width), dtype=np.int16)
+
+    # Place patches into the full image
+    idx = 0
+    for y in range(0, padded_height, patch_size):
+        for x in range(0, padded_width, patch_size):
+            full_image[y : y + patch_size, x : x + patch_size] = patches[idx]
+            idx += 1
+
+    # Crop to the original size
+    stitched_image = Image.fromarray(full_image[:original_height, :original_width])
+
+    return stitched_image
+
+
+def predict_non_annotated_image(
+    image_path, model, output_mask_path, patch_size=512, overlap=0
+):
+    if not os.path.exists(output_mask_path):
+        os.makedirs(output_mask_path)
+
+    # Load and preprocess the image
+    image = Image.open(image_path).convert("RGB")
+    patches, padded_size, original_size = patch_and_pad_image(
+        image, patch_size, overlap
+    )
+
+    padded_width, padded_height = padded_size
+    num_classes = model.classifier[4].out_channels  # Get the number of output classes
+    vote_map = np.zeros((padded_height, padded_width, num_classes), dtype=np.int32)
+
+    # Predict each patch
+    with torch.no_grad():
+        for patch, (x, y) in patches:
+            patch_tensor = T.ToTensor()(patch).unsqueeze(0)
+            output = model(patch_tensor)["out"]
+            predicted_patch = torch.argmax(output.squeeze(), dim=0).cpu().numpy()
+
+            # Get the actual dimensions of the current patch (may differ for edge patches)
+            patch_height, patch_width = predicted_patch.shape
+
+            # Dynamically slice the vote_map to match the patch size
+            vote_map[y : y + patch_height, x : x + patch_width] += np.eye(
+                num_classes, dtype=np.int32
+            )[predicted_patch]
+
+    # Take the class with the most votes
+    final_mask = np.argmax(vote_map, axis=2).astype(np.uint8)
+
+    # Crop to the original size
+    final_mask = final_mask[: original_size[1], : original_size[0]]
+
+    # Save the final mask
+    pred_mask_name = os.path.join(
+        output_mask_path,
+        "predmask_" + os.path.basename(image_path).split(".")[0] + ".tif",
+    )
+    Image.fromarray(final_mask).save(pred_mask_name)
+    print(f"Predicted mask saved at {pred_mask_name}")
+
+
 @hydra.main(version_base=None, config_path="../configs", config_name="config")
 def main(cfg):
-    if not os.path.exists(cfg.paths.PRED_TEST_MASKS):
-        os.makedirs(cfg.paths.PRED_TEST_MASKS)
+    valid_modes = ["test", "predict"]
+    if cfg.predict.MODE not in valid_modes:
+        raise ValueError(
+            f"Invalid MODE: {cfg.predict.MODE}. Valid options are: {', '.join(valid_modes)}"
+        )
 
     # Load the model
     model = load_model(cfg.paths.MODEL_PATH)
 
-    # Run prediction and save the mask
-    predict_image(
-        cfg.paths.INPUT_IMAGE, cfg.paths.GT_TEST_MASKS, model, cfg.paths.PRED_TEST_MASKS
-    )
+    if cfg.predict.MODE == "test":
+        predict_test_image(
+            cfg.paths.INPUT_IMAGE,
+            cfg.paths.GT_TEST_MASKS,
+            model,
+            cfg.paths.PRED_TEST_MASKS,
+        )
+
+    elif cfg.predict.MODE == "predict":
+        predict_non_annotated_image(
+            cfg.paths.INPUT_IMAGE, model, cfg.paths.PREDICTED_MASKS, patch_size=512
+        )
 
 
 if __name__ == "__main__":
diff --git a/src/predict_crop.py b/src/predict_crop.py
deleted file mode 100644
index 55937c3..0000000
--- a/src/predict_crop.py
+++ /dev/null
@@ -1,190 +0,0 @@
-#!/usr/env/bin python3
-
-import os
-import sys
-
-import numpy as np
-import torch
-import torchvision.transforms as T
-import yaml
-from PIL import Image
-from torchvision.models.segmentation import deeplabv3_resnet50
-
-
-def load_model(checkpoint_path, num_classes=8):
-    model = deeplabv3_resnet50(pretrained=False)
-    model.classifier[4] = torch.nn.Conv2d(256, num_classes, kernel_size=(1, 1))
-
-    # Load the saved state dict
-    checkpoint = torch.load(
-        checkpoint_path,
-        map_location=torch.device("cuda" if torch.cuda.is_available() else "cpu"),
-    )
-
-    # Remove the 'model.' prefix from the state_dict keys
-    state_dict = {
-        k.replace("model.", ""): v for k, v in checkpoint["state_dict"].items()
-    }
-
-    # Filter out the auxiliary classifier keys
-    state_dict = {k: v for k, v in state_dict.items() if "aux_classifier" not in k}
-
-    # Load the modified state_dict into the model
-    model.load_state_dict(state_dict, strict=False)
-    model.eval()  # Set the model to evaluation mode
-    return model
-
-
-def preprocess_image(image_path, patch_size=(512, 512)):
-    # Ensure patch_size is a tuple of integers
-    if isinstance(patch_size, tuple) and len(patch_size) == 2:
-        pass  # Valid patch_size
-    else:
-        raise ValueError(
-            f"Invalid patch_size: {patch_size}. Expected a tuple (height, width)."
-        )
-
-    # Open the image file using PIL
-    image = Image.open(image_path).convert("RGB")
-
-    # Save the original image size
-    original_size = image.size  # (width, height)
-
-    # Calculate padding required to make dimensions divisible by patch size
-    width, height = original_size
-    pad_width = (patch_size[0] - (width % patch_size[0])) % patch_size[0]
-    pad_height = (patch_size[1] - (height % patch_size[1])) % patch_size[1]
-
-    # Apply padding
-    padded_image = Image.new("RGB", (width + pad_width, height + pad_height), (0, 0, 0))
-    padded_image.paste(image, (0, 0))
-
-    # Convert to tensor
-    preprocess = T.Compose([T.ToTensor()])
-    input_tensor = preprocess(padded_image).unsqueeze(0)
-
-    return input_tensor, original_size, (width + pad_width, height + pad_height)
-
-
-def get_corresponding_mask(image_path, mask_dir):
-    """
-    Finds the corresponding ground truth mask for a given image.
-
-    Args:
-        image_path (str): Path to the input image.
-        mask_dir (str): Directory containing ground truth masks.
-
-    Returns:
-        str: Path to the corresponding ground truth mask.
-    """
-    image_filename = os.path.basename(image_path)
-    identifier = image_filename.split("image_")[-1].replace(".png", "")
-    mask_filename = f"mask_{identifier}.tif"
-
-    mask_path = os.path.join(mask_dir, mask_filename)
-
-    if not os.path.exists(mask_path):
-        raise FileNotFoundError(
-            f"Mask file not found for {image_path}. Expected: {mask_path}"
-        )
-
-    return mask_path
-
-
-def apply_ignore_index(predicted_mask, ground_truth_mask, ignore_value=-1):
-    # Ensure both predicted_mask and ground_truth_mask are numpy arrays
-    if isinstance(predicted_mask, Image.Image):
-        predicted_mask = np.array(predicted_mask)
-
-    if isinstance(ground_truth_mask, Image.Image):
-        ground_truth_mask = np.array(ground_truth_mask)
-
-    # Set the values in the predicted mask to -1 wherever the ground truth mask is -1
-    predicted_mask[ground_truth_mask == ignore_value] = ignore_value
-
-    return predicted_mask
-
-
-def predict_image(
-    image_path,
-    mask_dir,
-    model,
-    output_mask_path,
-    patch_size=(512, 512),
-    ignore_value=-1,
-):
-    """
-    Predicts segmentation mask for a single image, applies ignore index based on ground truth, and saves the output.
-
-    Args:
-        image_path (str): Path to the input image.
-        mask_dir (str): Directory containing the ground truth masks.
-        model (torch.nn.Module): Pretrained segmentation model.
-        output_mask_path (str): Directory to save the predicted mask.
-        patch_size (tuple): Size of the patch for padding (default: (512, 512)).
-        ignore_value (int): Value to ignore in the ground truth mask.
-    """
-    # Preprocess the image (padding applied)
-    input_tensor, original_size, padded_size = preprocess_image(image_path, patch_size)
-    original_width, original_height = original_size
-
-    with torch.no_grad():
-        output = model(input_tensor)["out"]
-
-    # Get predicted mask
-    predicted_mask = torch.argmax(output.squeeze(), dim=0).cpu().numpy()
-
-    # Crop the predicted mask back to the original image size
-    predicted_mask_cropped = predicted_mask[:original_height, :original_width]
-
-    # Find the corresponding ground truth mask
-    gt_mask_path = get_corresponding_mask(image_path, mask_dir)
-    if not os.path.exists(gt_mask_path):
-        raise FileNotFoundError(f"Ground truth mask not found: {gt_mask_path}")
-    ground_truth_mask = Image.open(gt_mask_path)
-
-    # Apply ignore index to predicted mask
-    final_mask_with_ignore = apply_ignore_index(
-        predicted_mask_cropped, ground_truth_mask, ignore_value
-    )
-
-    # Ensure the output directory exists
-    os.makedirs(output_mask_path, exist_ok=True)
-
-    # Save the final mask
-    pred_mask_name = os.path.join(
-        output_mask_path,
-        "predmask_" + os.path.basename(image_path).split(".")[0] + ".tif",
-    )
-    final_mask = Image.fromarray(final_mask_with_ignore.astype(np.int16))
-    final_mask.save(pred_mask_name)
-    print(f"Predicted mask saved at {pred_mask_name}")
-
-
-if __name__ == "__main__":
-    with open("./config.yaml") as f:
-        cfg = yaml.load(f, Loader=yaml.FullLoader)
-
-    if not os.path.exists(cfg["PRED_TEST_MASKS"]):
-        os.makedirs(cfg["PRED_TEST_MASKS"])
-
-    if len(sys.argv) != 2:
-        print("Usage: python predict.py <input_image_path>")
-        sys.exit(1)
-
-    input_image_path = sys.argv[1]
-
-    # Load the model
-    model = load_model(cfg["MODEL_PATH"])
-
-    # Run prediction and save the mask
-    predict_image(
-        image_path=input_image_path,
-        model=model,
-        mask_dir=cfg["GT_TEST_MASKS"],
-        output_mask_path=cfg["PRED_TEST_MASKS"],
-        patch_size=(
-            512,
-            512,
-        ),  # Use the default explicitly or omit this if the default is fine
-    )