From 36f27ba5ab2bf2587d96c029f34eee548fa59c5f Mon Sep 17 00:00:00 2001
From: karttikjangid <kartik.24bcs10259@sst.scaler.com>
Date: Sun, 19 Apr 2026 23:55:58 +0530
Subject: [PATCH 1/4] Enhancement: Add explicit UserWarning for NaN classes in
 macro-averaged metrics

---
 perceptionmetrics/utils/segmentation_metrics.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/perceptionmetrics/utils/segmentation_metrics.py b/perceptionmetrics/utils/segmentation_metrics.py
index 3975e5dd..6ee4d666 100644
--- a/perceptionmetrics/utils/segmentation_metrics.py
+++ b/perceptionmetrics/utils/segmentation_metrics.py
@@ -1,5 +1,6 @@
 from collections import defaultdict
 import math
+import warnings
 from typing import List, Optional, Union
 
 import numpy as np
@@ -255,7 +256,15 @@ def get_averaged_metric(
         """
         metric = getattr(self, f"get_{metric_name}")
         if method == "macro":
-            return float(np.nanmean(metric(per_class=True)))
+            per_class_values = metric(per_class=True)
+            nan_mask = np.isnan(per_class_values)
+            missing_count = int(np.sum(nan_mask))
+            if missing_count > 0:
+                warnings.warn(
+                    f"Warning: {missing_count} class(es) were missing from the confusion matrix. Their {metric_name.upper()} evaluated to NaN and will be ignored in the macro-average.",
+                    UserWarning,
+                )
+            return float(np.nanmean(per_class_values))
         if method == "micro":
             return float(metric(per_class=False))
         if method == "weighted":

From 47fbe096b851bfa949ffa4cca008f73be2b89692 Mon Sep 17 00:00:00 2001
From: karttikjangid <kartik.24bcs10259@sst.scaler.com>
Date: Mon, 20 Apr 2026 00:33:43 +0530
Subject: [PATCH 2/4] chore: Update poetry.lock to resolve CI dependency sync

---
 poetry.lock | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 22115268..09ddce05 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -1019,7 +1019,7 @@ accessible-pygments = ">=0.0.5"
 beautifulsoup4 = "*"
 pygments = ">=2.7"
 sphinx = ">=7.0,<10.0"
-sphinx-basic-ng = ">=1.0.0.beta2"
+sphinx-basic-ng = ">=1.0.0b2"
 
 [[package]]
 name = "gitdb"
@@ -1433,7 +1433,7 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.03.6"
+jsonschema-specifications = ">=2023.3.6"
 referencing = ">=0.28.4"
 rpds-py = ">=0.25.0"
 
@@ -4227,4 +4227,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "d1e29b4bdb3f80b558d932fc228b32bb1e094a4aa097c8eed9094dda5963c551"
+content-hash = "e00cde9b59793887dcf619c6eb0314da840349488ad14e3bb506620bfc587ad5"

From 1e3122669d40561746d3fd474d82150b3fe9eef3 Mon Sep 17 00:00:00 2001
From: karttikjangid <kartik.24bcs10259@sst.scaler.com>
Date: Mon, 20 Apr 2026 01:27:28 +0530
Subject: [PATCH 3/4] fix: resolve CI linter issues and sync torch dependencies

---
 .../utils/segmentation_metrics.py             |  13 +-
 poetry.lock                                   | 452 +++++++++++++++++-
 pyproject.toml                                |   2 +
 3 files changed, 461 insertions(+), 6 deletions(-)

diff --git a/perceptionmetrics/utils/segmentation_metrics.py b/perceptionmetrics/utils/segmentation_metrics.py
index 6ee4d666..b55ee5b2 100644
--- a/perceptionmetrics/utils/segmentation_metrics.py
+++ b/perceptionmetrics/utils/segmentation_metrics.py
@@ -1,6 +1,5 @@
 from collections import defaultdict
 import math
-import warnings
 from typing import List, Optional, Union
 
 import numpy as np
@@ -259,12 +258,16 @@ def get_averaged_metric(
             per_class_values = metric(per_class=True)
             nan_mask = np.isnan(per_class_values)
             missing_count = int(np.sum(nan_mask))
+            
             if missing_count > 0:
-                warnings.warn(
-                    f"Warning: {missing_count} class(es) were missing from the confusion matrix. Their {metric_name.upper()} evaluated to NaN and will be ignored in the macro-average.",
-                    UserWarning,
+                import warnings
+                # Use implicit string concatenation to keep lines short
+                msg = (
+                    f"Warning: {missing_count} class(es) were missing from the confusion matrix. "
+                    f"Their {metric_name.upper()} evaluated to NaN and will be ignored in the macro-average."
                 )
-            return float(np.nanmean(per_class_values))
+                warnings.warn(msg, UserWarning)
+            return float(np.nanmean(metric(per_class=True)))
         if method == "micro":
             return float(metric(per_class=False))
         if method == "weighted":
diff --git a/poetry.lock b/poetry.lock
index 09ddce05..632c758c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -905,6 +905,18 @@ files = [
 [package.extras]
 devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
 
+[[package]]
+name = "filelock"
+version = "3.29.0"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "filelock-3.29.0-py3-none-any.whl", hash = "sha256:96f5f6344709aa1572bbf631c640e4ebeeb519e08da902c39a001882f30ac258"},
+    {file = "filelock-3.29.0.tar.gz", hash = "sha256:69974355e960702e789734cb4871f884ea6fe50bd8404051a3530bc07809cf90"},
+]
+
 [[package]]
 name = "flask"
 version = "3.1.3"
@@ -1002,6 +1014,46 @@ type1 = ["xattr ; sys_platform == \"darwin\""]
 unicode = ["unicodedata2 (>=17.0.0) ; python_version <= \"3.14\""]
 woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
+[[package]]
+name = "fsspec"
+version = "2026.3.0"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "fsspec-2026.3.0-py3-none-any.whl", hash = "sha256:d2ceafaad1b3457968ed14efa28798162f1638dbb5d2a6868a2db002a5ee39a4"},
+    {file = "fsspec-2026.3.0.tar.gz", hash = "sha256:1ee6a0e28677557f8c2f994e3eea77db6392b4de9cd1f5d7a9e87a0ae9d01b41"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+dev = ["pre-commit", "ruff (>=0.5)"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs (>2024.2.0)"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs (>2024.2.0)"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "furo"
 version = "2025.12.19"
@@ -1904,6 +1956,24 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+description = "Python library for arbitrary-precision floating-point arithmetic"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
+    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
+]
+
+[package.extras]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
+tests = ["pytest (>=4.6)"]
+
 [[package]]
 name = "mypy-extensions"
 version = "1.1.0"
@@ -2002,6 +2072,75 @@ files = [
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
 ]
 
+[[package]]
+name = "networkx"
+version = "3.4.2"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
+    {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
+]
+
+[package.extras]
+default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"]
+developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
+doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"]
+example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
+extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
+[[package]]
+name = "networkx"
+version = "3.6"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = ">=3.11"
+groups = ["main"]
+markers = "python_version >= \"3.12\""
+files = [
+    {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"},
+    {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"},
+]
+
+[package.extras]
+benchmarking = ["asv", "virtualenv"]
+default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
+developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
+doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"]
+example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
+extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
+release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
+test-extras = ["pytest-mpl", "pytest-randomly"]
+
+[[package]]
+name = "networkx"
+version = "3.6.1"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = "!=3.14.1,>=3.11"
+groups = ["main"]
+markers = "python_version == \"3.11\""
+files = [
+    {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"},
+    {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"},
+]
+
+[package.extras]
+benchmarking = ["asv", "virtualenv"]
+default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
+developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
+doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"]
+example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
+extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
+release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
+test-extras = ["pytest-mpl", "pytest-randomly"]
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -2048,6 +2187,172 @@ files = [
     {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
 ]
 
+[[package]]
+name = "nvidia-cublas-cu12"
+version = "12.1.3.1"
+description = "CUBLAS native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
+    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
+]
+
+[[package]]
+name = "nvidia-cuda-cupti-cu12"
+version = "12.1.105"
+description = "CUDA profiling tools runtime libs."
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
+    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
+]
+
+[[package]]
+name = "nvidia-cuda-nvrtc-cu12"
+version = "12.1.105"
+description = "NVRTC native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
+]
+
+[[package]]
+name = "nvidia-cuda-runtime-cu12"
+version = "12.1.105"
+description = "CUDA Runtime native Libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
+    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
+]
+
+[[package]]
+name = "nvidia-cudnn-cu12"
+version = "8.9.2.26"
+description = "cuDNN runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
+]
+
+[package.dependencies]
+nvidia-cublas-cu12 = "*"
+
+[[package]]
+name = "nvidia-cufft-cu12"
+version = "11.0.2.54"
+description = "CUFFT native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
+    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
+]
+
+[[package]]
+name = "nvidia-curand-cu12"
+version = "10.3.2.106"
+description = "CURAND native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
+    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
+]
+
+[[package]]
+name = "nvidia-cusolver-cu12"
+version = "11.4.5.107"
+description = "CUDA solver native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
+    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
+]
+
+[package.dependencies]
+nvidia-cublas-cu12 = "*"
+nvidia-cusparse-cu12 = "*"
+nvidia-nvjitlink-cu12 = "*"
+
+[[package]]
+name = "nvidia-cusparse-cu12"
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+python-versions = ">=3"
+groups = ["main"]
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+[package.dependencies]
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+
+[[package]]
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+version = "2.19.3"
+description = "NVIDIA Collective Communication Library (NCCL) Runtime"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
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+optional = false
+python-versions = ">=3"
+groups = ["main"]
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+
+[[package]]
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+description = "NVIDIA Tools Extension"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
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+]
+
 [[package]]
 name = "open3d"
 version = "0.19.0"
@@ -3871,6 +4176,24 @@ scipy = {version = ">=1.10.0,<2.0.0", markers = "python_version >= \"3.9\""}
 assets = ["requests (>=2.26.0,<=2.31.0)", "tqdm (>=4.62.3,<=4.66.1)"]
 desktop = ["opencv-python (>=4.5.5.64)"]
 
+[[package]]
+name = "sympy"
+version = "1.14.0"
+description = "Computer algebra system (CAS) in Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+mpmath = ">=1.1.0,<1.4"
+
+[package.extras]
+dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
+
 [[package]]
 name = "tenacity"
 version = "9.1.2"
@@ -4017,6 +4340,108 @@ files = [
     {file = "tomlkit-0.14.0.tar.gz", hash = "sha256:cf00efca415dbd57575befb1f6634c4f42d2d87dbba376128adb42c121b87064"},
 ]
 
+[[package]]
+name = "torch"
+version = "2.2.2"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+optional = false
+python-versions = ">=3.8.0"
+groups = ["main"]
+files = [
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+    {file = "torch-2.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:67dcd726edff108e2cd6c51ff0e416fd260c869904de95750e80051358680d24"},
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+    {file = "torch-2.2.2-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:dff696de90d6f6d1e8200e9892861fd4677306d0ef604cb18f2134186f719f82"},
+    {file = "torch-2.2.2-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:3a4dd910663fd7a124c056c878a52c2b0be4a5a424188058fe97109d4436ee42"},
+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = "*"
+jinja2 = "*"
+networkx = "*"
+nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+sympy = "*"
+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
+
+[[package]]
+name = "torchvision"
+version = "0.17.2"
+description = "image and video datasets and models for torch deep learning"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "torchvision-0.17.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:1f2910fe3c21ad6875b2720d46fad835b2e4b336e9553d31ca364d24c90b1d4f"},
+    {file = "torchvision-0.17.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ecc1c503fa8a54fbab777e06a7c228032b8ab78efebf35b28bc8f22f544f51f1"},
+    {file = "torchvision-0.17.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:f400145fc108833e7c2fc28486a04989ca742146d7a2a2cc48878ebbb40cdbbd"},
+    {file = "torchvision-0.17.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e9e4bed404af33dfc92eecc2b513d21ddc4c242a7fd8708b3b09d3a26aa6f444"},
+    {file = "torchvision-0.17.2-cp310-cp310-win_amd64.whl", hash = "sha256:ba2e62f233eab3d42b648c122a3a29c47cc108ca314dfd5cbb59cd3a143fd623"},
+    {file = "torchvision-0.17.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:9b83e55ee7d0a1704f52b9c0ac87388e7a6d1d98a6bde7b0b35f9ab54d7bda54"},
+    {file = "torchvision-0.17.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e031004a1bc432c980a7bd642f6c189a3efc316e423fc30b5569837166a4e28d"},
+    {file = "torchvision-0.17.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:3bbc24b7713e8f22766992562547d8b4b10001208d372fe599255af84bfd1a69"},
+    {file = "torchvision-0.17.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:833fd2e4216ced924c8aca0525733fe727f9a1af66dfad7c5be7257e97c39678"},
+    {file = "torchvision-0.17.2-cp311-cp311-win_amd64.whl", hash = "sha256:6835897df852fad1015e6a106c167c83848114cbcc7d86112384a973404e4431"},
+    {file = "torchvision-0.17.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:14fd1d4a033c325bdba2d03a69c3450cab6d3a625f85cc375781d9237ca5d04d"},
+    {file = "torchvision-0.17.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9c3acbebbe379af112b62b535820174277b1f3eed30df264a4e458d58ee4e5b2"},
+    {file = "torchvision-0.17.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:77d680adf6ce367166a186d2c7fda3a73807ab9a03b2c31a03fa8812c8c5335b"},
+    {file = "torchvision-0.17.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:f1c9ab3152cfb27f83aca072cac93a3a4c4e4ab0261cf0f2d516b9868a4e96f3"},
+    {file = "torchvision-0.17.2-cp312-cp312-win_amd64.whl", hash = "sha256:3f784381419f3ed3f2ec2aa42fb4aeec5bf4135e298d1631e41c926e6f1a0dff"},
+    {file = "torchvision-0.17.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:b83aac8d78f48981146d582168d75b6c947cfb0a7693f76e219f1926f6e595a3"},
+    {file = "torchvision-0.17.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1ece40557e122d79975860a005aa7e2a9e2e6c350a03e78a00ec1450083312fd"},
+    {file = "torchvision-0.17.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:32dbeba3987e20f2dc1bce8d1504139fff582898346dfe8ad98d649f97ca78fa"},
+    {file = "torchvision-0.17.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:35ba5c1600c3203549d2316422a659bd20c0cfda1b6085eec94fb9f35f55ca43"},
+    {file = "torchvision-0.17.2-cp38-cp38-win_amd64.whl", hash = "sha256:2f69570f50b1d195e51bc03feffb7b7728207bc36efcfb1f0813712b2379d881"},
+    {file = "torchvision-0.17.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:4868bbfa55758c8107e69a0e7dd5e77b89056035cd38b767ad5b98cdb71c0f0d"},
+    {file = "torchvision-0.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:efd6d0dd0668e15d01a2cffadc74068433b32cbcf5692e0c4aa15fc5cb250ce7"},
+    {file = "torchvision-0.17.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7dc85b397f6c6d9ef12716ce0d6e11ac2b803f5cccff6fe3966db248e7774478"},
+    {file = "torchvision-0.17.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d506854c5acd69b20a8b6641f01fe841685a21c5406b56813184f1c9fc94279e"},
+    {file = "torchvision-0.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:067095e87a020a7a251ac1d38483aa591c5ccb81e815527c54db88a982fc9267"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
+torch = "2.2.2"
+
+[package.extras]
+scipy = ["scipy"]
+
 [[package]]
 name = "tornado"
 version = "6.5.5"
@@ -4075,6 +4500,31 @@ files = [
 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 = "2.2.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""
+files = [
+    {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
+    {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
+    {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
+    {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
+    {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
+    {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+
 [[package]]
 name = "typing-extensions"
 version = "4.15.0"
@@ -4227,4 +4677,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "e00cde9b59793887dcf619c6eb0314da840349488ad14e3bb506620bfc587ad5"
+content-hash = "23af68d811e94d5d69e33f9fa1adb738979e1b4a8b7f09315dad4916f8bd5dee"
diff --git a/pyproject.toml b/pyproject.toml
index 9f733192..f4890185 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,6 +26,8 @@ pycocotools = "^2.0.7"
 Streamlit = "1.54.0"
 streamlit-image-select = "^0.6.0"
 supervision = "^0.18.0"
+torch = "2.2.2"
+torchvision = "0.17.2"
 
 [tool.poetry.group.dev.dependencies]
 black = "^26.3.0"

From af10d6758a80cf3a872bd85ccfbaaeb1ec773def Mon Sep 17 00:00:00 2001
From: karttikjangid <kartik.24bcs10259@sst.scaler.com>
Date: Mon, 20 Apr 2026 01:37:04 +0530
Subject: [PATCH 4/4] Reinstating original poetry from master branch for
 reference

---
 poetry.lock    | 458 +------------------------------------------------
 pyproject.toml |   2 -
 2 files changed, 4 insertions(+), 456 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 632c758c..22115268 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -905,18 +905,6 @@ files = [
 [package.extras]
 devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
 
-[[package]]
-name = "filelock"
-version = "3.29.0"
-description = "A platform independent file lock."
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "filelock-3.29.0-py3-none-any.whl", hash = "sha256:96f5f6344709aa1572bbf631c640e4ebeeb519e08da902c39a001882f30ac258"},
-    {file = "filelock-3.29.0.tar.gz", hash = "sha256:69974355e960702e789734cb4871f884ea6fe50bd8404051a3530bc07809cf90"},
-]
-
 [[package]]
 name = "flask"
 version = "3.1.3"
@@ -1014,46 +1002,6 @@ type1 = ["xattr ; sys_platform == \"darwin\""]
 unicode = ["unicodedata2 (>=17.0.0) ; python_version <= \"3.14\""]
 woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
-[[package]]
-name = "fsspec"
-version = "2026.3.0"
-description = "File-system specification"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "fsspec-2026.3.0-py3-none-any.whl", hash = "sha256:d2ceafaad1b3457968ed14efa28798162f1638dbb5d2a6868a2db002a5ee39a4"},
-    {file = "fsspec-2026.3.0.tar.gz", hash = "sha256:1ee6a0e28677557f8c2f994e3eea77db6392b4de9cd1f5d7a9e87a0ae9d01b41"},
-]
-
-[package.extras]
-abfs = ["adlfs"]
-adl = ["adlfs"]
-arrow = ["pyarrow (>=1)"]
-dask = ["dask", "distributed"]
-dev = ["pre-commit", "ruff (>=0.5)"]
-doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
-dropbox = ["dropbox", "dropboxdrivefs", "requests"]
-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"]
-fuse = ["fusepy"]
-gcs = ["gcsfs (>2024.2.0)"]
-git = ["pygit2"]
-github = ["requests"]
-gs = ["gcsfs"]
-gui = ["panel"]
-hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
-libarchive = ["libarchive-c"]
-oci = ["ocifs"]
-s3 = ["s3fs (>2024.2.0)"]
-sftp = ["paramiko"]
-smb = ["smbprotocol"]
-ssh = ["paramiko"]
-test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
-test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
-test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
-tqdm = ["tqdm"]
-
 [[package]]
 name = "furo"
 version = "2025.12.19"
@@ -1071,7 +1019,7 @@ accessible-pygments = ">=0.0.5"
 beautifulsoup4 = "*"
 pygments = ">=2.7"
 sphinx = ">=7.0,<10.0"
-sphinx-basic-ng = ">=1.0.0b2"
+sphinx-basic-ng = ">=1.0.0.beta2"
 
 [[package]]
 name = "gitdb"
@@ -1485,7 +1433,7 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.3.6"
+jsonschema-specifications = ">=2023.03.6"
 referencing = ">=0.28.4"
 rpds-py = ">=0.25.0"
 
@@ -1956,24 +1904,6 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
-[[package]]
-name = "mpmath"
-version = "1.3.0"
-description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
-    {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
-    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
-]
-
-[package.extras]
-develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
-docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
-tests = ["pytest (>=4.6)"]
-
 [[package]]
 name = "mypy-extensions"
 version = "1.1.0"
@@ -2072,75 +2002,6 @@ files = [
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
 ]
 
-[[package]]
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-version = "3.4.2"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
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-    {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
-]
-
-[package.extras]
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-doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"]
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-extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
-test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
-
-[[package]]
-name = "networkx"
-version = "3.6"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.12\""
-files = [
-    {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"},
-    {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"},
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-
-[package.extras]
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-default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
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-test-extras = ["pytest-mpl", "pytest-randomly"]
-
-[[package]]
-name = "networkx"
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-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = "!=3.14.1,>=3.11"
-groups = ["main"]
-markers = "python_version == \"3.11\""
-files = [
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-[package.extras]
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-default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
-developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
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-example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
-extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
-release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
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-test-extras = ["pytest-mpl", "pytest-randomly"]
-
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -2187,172 +2048,6 @@ files = [
     {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
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-description = "CUDA profiling tools runtime libs."
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-python-versions = ">=3"
-groups = ["main"]
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-[package.dependencies]
-nvidia-cublas-cu12 = "*"
-
-[[package]]
-name = "nvidia-cufft-cu12"
-version = "11.0.2.54"
-description = "CUFFT native runtime libraries"
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-description = "CUDA solver native runtime libraries"
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-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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-
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-[package.dependencies]
-nvidia-nvjitlink-cu12 = "*"
-
-[[package]]
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-description = "NVIDIA Collective Communication Library (NCCL) Runtime"
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-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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-    {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-win_amd64.whl", hash = "sha256:cc6fcec260ca843c10e34c936921a1c426b351753587fdd638e8cff7b16bb9db"},
-]
-
-[[package]]
-name = "nvidia-nvtx-cu12"
-version = "12.1.105"
-description = "NVIDIA Tools Extension"
-optional = false
-python-versions = ">=3"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
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-
 [[package]]
 name = "open3d"
 version = "0.19.0"
@@ -4176,24 +3871,6 @@ scipy = {version = ">=1.10.0,<2.0.0", markers = "python_version >= \"3.9\""}
 assets = ["requests (>=2.26.0,<=2.31.0)", "tqdm (>=4.62.3,<=4.66.1)"]
 desktop = ["opencv-python (>=4.5.5.64)"]
 
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 [[package]]
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-torch = "2.2.2"
-
-[package.extras]
-scipy = ["scipy"]
-
 [[package]]
 name = "tornado"
 version = "6.5.5"
@@ -4500,31 +4075,6 @@ files = [
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 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
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-
 [[package]]
 name = "typing-extensions"
 version = "4.15.0"
@@ -4677,4 +4227,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "23af68d811e94d5d69e33f9fa1adb738979e1b4a8b7f09315dad4916f8bd5dee"
+content-hash = "d1e29b4bdb3f80b558d932fc228b32bb1e094a4aa097c8eed9094dda5963c551"
diff --git a/pyproject.toml b/pyproject.toml
index f4890185..9f733192 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,8 +26,6 @@ pycocotools = "^2.0.7"
 Streamlit = "1.54.0"
 streamlit-image-select = "^0.6.0"
 supervision = "^0.18.0"
-torch = "2.2.2"
-torchvision = "0.17.2"
 
 [tool.poetry.group.dev.dependencies]
 black = "^26.3.0"