feat: add Gradio app for ONNX model

.gitignore

@@ -0,0 +1,335 @@
+# Created by https://www.toptal.com/developers/gitignore/api/python,pycharm,pythonvanilla,visualstudiocode
+# Edit at https://www.toptal.com/developers/gitignore?templates=python,pycharm,pythonvanilla,visualstudiocode
+
+### PyCharm ###
+# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
+# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
+
+# User-specific stuff
+.idea/**/workspace.xml
+.idea/**/tasks.xml
+.idea/**/usage.statistics.xml
+.idea/**/dictionaries
+.idea/**/shelf
+
+# AWS User-specific
+.idea/**/aws.xml
+
+# Generated files
+.idea/**/contentModel.xml
+
+# Sensitive or high-churn files
+.idea/**/dataSources/
+.idea/**/dataSources.ids
+.idea/**/dataSources.local.xml
+.idea/**/sqlDataSources.xml
+.idea/**/dynamic.xml
+.idea/**/uiDesigner.xml
+.idea/**/dbnavigator.xml
+
+# Gradle
+.idea/**/gradle.xml
+.idea/**/libraries
+
+# Gradle and Maven with auto-import
+# When using Gradle or Maven with auto-import, you should exclude module files,
+# since they will be recreated, and may cause churn.  Uncomment if using
+# auto-import.
+# .idea/artifacts
+# .idea/compiler.xml
+# .idea/jarRepositories.xml
+# .idea/modules.xml
+# .idea/*.iml
+# .idea/modules
+# *.iml
+# *.ipr
+
+# CMake
+cmake-build-*/
+
+# Mongo Explorer plugin
+.idea/**/mongoSettings.xml
+
+# File-based project format
+*.iws
+
+# IntelliJ
+out/
+
+# mpeltonen/sbt-idea plugin
+.idea_modules/
+
+# JIRA plugin
+atlassian-ide-plugin.xml
+
+# Cursive Clojure plugin
+.idea/replstate.xml
+
+# SonarLint plugin
+.idea/sonarlint/
+
+# Crashlytics plugin (for Android Studio and IntelliJ)
+com_crashlytics_export_strings.xml
+crashlytics.properties
+crashlytics-build.properties
+fabric.properties
+
+# Editor-based Rest Client
+.idea/httpRequests
+
+# Android studio 3.1+ serialized cache file
+.idea/caches/build_file_checksums.ser
+
+### PyCharm Patch ###
+# Comment Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-215987721
+
+# *.iml
+# modules.xml
+# .idea/misc.xml
+# *.ipr
+
+# Sonarlint plugin
+# https://plugins.jetbrains.com/plugin/7973-sonarlint
+.idea/**/sonarlint/
+
+# SonarQube Plugin
+# https://plugins.jetbrains.com/plugin/7238-sonarqube-community-plugin
+.idea/**/sonarIssues.xml
+
+# Markdown Navigator plugin
+# https://plugins.jetbrains.com/plugin/7896-markdown-navigator-enhanced
+.idea/**/markdown-navigator.xml
+.idea/**/markdown-navigator-enh.xml
+.idea/**/markdown-navigator/
+
+# Cache file creation bug
+# See https://youtrack.jetbrains.com/issue/JBR-2257
+.idea/$CACHE_FILE$
+
+# CodeStream plugin
+# https://plugins.jetbrains.com/plugin/12206-codestream
+.idea/codestream.xml
+
+# Azure Toolkit for IntelliJ plugin
+# https://plugins.jetbrains.com/plugin/8053-azure-toolkit-for-intellij
+.idea/**/azureSettings.xml
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+### PythonVanilla ###
+# Byte-compiled / optimized / DLL files
+
+# C extensions
+
+# Distribution / packaging
+
+# Installer logs
+
+# Unit test / coverage reports
+
+# Translations
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+
+
+### VisualStudioCode ###
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix
+
+### VisualStudioCode Patch ###
+# Ignore all local history of files
+.history
+.ionide
+
+# End of https://www.toptal.com/developers/gitignore/api/python,pycharm,pythonvanilla,visualstudiocode

BEN2_Base.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22cea62108ff53b7ccc20f7a008bf30494228d84b1687f29ecbe76936a998101
+size 222932053

app.py

@@ -0,0 +1,140 @@
+import functools
+import re
+import tempfile
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Final, cast
+
+import cv2
+import gradio as gr
+import numpy as np
+import onnx
+import onnxruntime as ort
+
+SCRIPT_DIR = Path(__file__).resolve().parent
+ONNX_MODEL_PATH = SCRIPT_DIR / "BEN2_Base.onnx"
+
+
+@dataclass(frozen=True)
+class PreallocatedBuffers:
+    resized_image: np.ndarray
+    input_batch: np.ndarray
+
+    def __init__(self, input_node: ort.NodeArg):
+        b, c, h, w = input_node.shape
+        object.__setattr__(self, "resized_image", np.empty([h, w, c], dtype=np.uint8))
+        object.__setattr__(
+            self, "input_batch", np.empty([b, c, h, w], dtype=np.float32)
+        )
+
+
+def is_unified_memory(device_type: str):
+    return device_type in ("cpu", "coreml")
+
+
+def get_ort_session_device_type(session: ort.InferenceSession) -> str:
+    # get_providers() returns e.g. ["CUDAExecutionProvider", "CPUExecutionProvider"]
+    provider = session.get_providers()[0]
+    # strip the common suffix and lower-case
+    return provider[: provider.index("ExecutionProvider")].lower()
+
+
+def nodearg_to_numpy_dtype(node: ort.NodeArg):
+    match = cast(re.Match[str], re.match(r"tensor\((\w+)\)", node.type))
+    elem_name = match.group(1).upper()
+    enum_val = getattr(onnx.TensorProto.DataType, elem_name)
+    np_dtype = onnx.helper.tensor_dtype_to_np_dtype(enum_val)
+    return np_dtype
+
+
+ort_session = ort.InferenceSession(
+    ONNX_MODEL_PATH,
+    providers=[
+        "CUDAExecutionProvider",
+        (
+            "CoreMLExecutionProvider",
+            {
+                "ModelFormat": "MLProgram",
+                "RequireStaticInputShapes": "1",
+                "AllowLowPrecisionAccumulationOnGPU": "1",
+            },
+        ),
+        "CPUExecutionProvider",
+    ],
+)
+input_node = ort_session.get_inputs()[0]
+output_node = ort_session.get_outputs()[0]
+
+buffers = PreallocatedBuffers(input_node=input_node)
+device_type = get_ort_session_device_type(ort_session)
+if device_type == "coreml":
+    device_type = "cpu"
+
+io_binding = ort_session.io_binding()
+if device_type != "cpu":
+    input_ortvalue = ort.OrtValue.ortvalue_from_shape_and_type(
+        input_node.shape, nodearg_to_numpy_dtype(input_node), device_type
+    )
+    io_binding.bind_ortvalue_input(input_node.name, input_ortvalue)
+else:
+    io_binding.bind_cpu_input(input_node.name, buffers.input_batch)
+output_ortvalue = ort.OrtValue.ortvalue_from_shape_and_type(
+    output_node.shape, nodearg_to_numpy_dtype(output_node), device_type
+)
+io_binding.bind_ortvalue_output(output_node.name, output_ortvalue)
+
+
+def remove_background(rgb_image: np.ndarray, output_path_str: str):
+    input_batch: Final[np.ndarray] = buffers.input_batch
+    resized_image: Final[np.ndarray] = buffers.resized_image
+
+    # Preprocess
+    cv2.resize(
+        src=rgb_image,
+        dst=resized_image,
+        dsize=(resized_image.shape[1], resized_image.shape[0]),
+        interpolation=cv2.INTER_LANCZOS4,
+    )
+    chw_image = resized_image.transpose(2, 0, 1)
+    np.divide(chw_image, np.iinfo(np.uint8).max, out=input_batch[0])
+
+    # Inference
+    if device_type != "cpu":
+        # Update existing OrtValue's memory in-place (no re-alloc)
+        input_ortvalue.update_inplace(input_batch)
+    ort_session.run_with_iobinding(io_binding)
+    outputs = output_ortvalue.numpy()
+
+    # Postprocess
+    raw_mask = outputs.squeeze()
+    min_val = raw_mask.min()
+    max_val = raw_mask.max()
+    normalized_mask = (
+        (raw_mask - min_val)
+        / (max_val - min_val + np.finfo(np.float32).eps)
+        * np.iinfo(np.uint8).max
+    )
+
+    resized_mask = cv2.resize(
+        normalized_mask.astype(np.uint8),
+        dsize=(rgb_image.shape[1], rgb_image.shape[0]),
+        interpolation=cv2.INTER_LANCZOS4,
+    )
+    bgra_image = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2BGRA)
+    bgra_image[:, :, 3] = resized_mask
+    cv2.imwrite(output_path_str, bgra_image, [cv2.IMWRITE_WEBP_QUALITY, 100])
+    return output_path_str
+
+
+if __name__ == "__main__":
+    with tempfile.NamedTemporaryFile(suffix=".webp") as webp_tmp:
+        demo = gr.Interface(
+            fn=functools.partial(remove_background, output_path_str=webp_tmp.name),
+            inputs=gr.Image(type="numpy", label="Upload Image"),
+            outputs=[
+                gr.Image(type="filepath", label="Result Image"),
+            ],
+            title="BGone 💕🍒",
+            description=("Upload an image to get a background-free, lossless WebP."),
+        )
+        demo.launch()

pyproject.toml

@@ -1,9 +1,9 @@
 [project]
 authors = [{ name = "Ky Anh" }]
+dynamic = ["dependencies"]
 name = "bgone"
 requires-python = ">= 3.12"
 version = "0.1.0"
-dynamic = ["dependencies"]
 
 [tool.setuptools.dynamic]
 dependencies = { file = ["requirements.txt"] }

requirements.txt

@@ -1,3 +1,5 @@
 gradio
 numpy
+onnx
 onnxruntime
+opencv-python-headless

uv.lock

@@ -2,8 +2,12 @@ version = 1
 revision = 2
 requires-python = ">=3.12"
 resolution-markers = [
-    "python_full_version >= '3.13'",
-    "python_full_version < '3.13'",
+    "python_full_version >= '3.13' and sys_platform == 'darwin'",
+    "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.13' and sys_platform == 'darwin'",
+    "python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
 [[package]]
@@ -85,14 +89,18 @@ source = { virtual = "." }
 dependencies = [
     { name = "gradio" },
     { name = "numpy" },
+    { name = "onnx" },
     { name = "onnxruntime" },
+    { name = "opencv-python-headless" },
 ]
 
 [package.metadata]
 requires-dist = [
     { name = "gradio" },
     { name = "numpy" },
+    { name = "onnx" },
     { name = "onnxruntime" },
+    { name = "opencv-python-headless" },
 ]
 
 [[package]]
@@ -446,40 +454,67 @@ wheels = [
 
 [[package]]
 name = "numpy"
-version = "2.2.5"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/dc/b2/ce4b867d8cd9c0ee84938ae1e6a6f7926ebf928c9090d036fc3c6a04f946/numpy-2.2.5.tar.gz", hash = "sha256:a9c0d994680cd991b1cb772e8b297340085466a6fe964bc9d4e80f5e2f43c291", size = 20273920, upload-time = "2025-04-19T23:27:42.561Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/f7/1fd4ff108cd9d7ef929b8882692e23665dc9c23feecafbb9c6b80f4ec583/numpy-2.2.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ee461a4eaab4f165b68780a6a1af95fb23a29932be7569b9fab666c407969051", size = 20948633, upload-time = "2025-04-19T22:37:52.4Z" },
-    { url = "https://files.pythonhosted.org/packages/12/03/d443c278348371b20d830af155ff2079acad6a9e60279fac2b41dbbb73d8/numpy-2.2.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ec31367fd6a255dc8de4772bd1658c3e926d8e860a0b6e922b615e532d320ddc", size = 14176123, upload-time = "2025-04-19T22:38:15.058Z" },
-    { url = "https://files.pythonhosted.org/packages/2b/0b/5ca264641d0e7b14393313304da48b225d15d471250376f3fbdb1a2be603/numpy-2.2.5-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:47834cde750d3c9f4e52c6ca28a7361859fcaf52695c7dc3cc1a720b8922683e", size = 5163817, upload-time = "2025-04-19T22:38:24.885Z" },
-    { url = "https://files.pythonhosted.org/packages/04/b3/d522672b9e3d28e26e1613de7675b441bbd1eaca75db95680635dd158c67/numpy-2.2.5-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:2c1a1c6ccce4022383583a6ded7bbcda22fc635eb4eb1e0a053336425ed36dfa", size = 6698066, upload-time = "2025-04-19T22:38:35.782Z" },
-    { url = "https://files.pythonhosted.org/packages/a0/93/0f7a75c1ff02d4b76df35079676b3b2719fcdfb39abdf44c8b33f43ef37d/numpy-2.2.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d75f338f5f79ee23548b03d801d28a505198297534f62416391857ea0479571", size = 14087277, upload-time = "2025-04-19T22:38:57.697Z" },
-    { url = "https://files.pythonhosted.org/packages/b0/d9/7c338b923c53d431bc837b5b787052fef9ae68a56fe91e325aac0d48226e/numpy-2.2.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a801fef99668f309b88640e28d261991bfad9617c27beda4a3aec4f217ea073", size = 16135742, upload-time = "2025-04-19T22:39:22.689Z" },
-    { url = "https://files.pythonhosted.org/packages/2d/10/4dec9184a5d74ba9867c6f7d1e9f2e0fb5fe96ff2bf50bb6f342d64f2003/numpy-2.2.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:abe38cd8381245a7f49967a6010e77dbf3680bd3627c0fe4362dd693b404c7f8", size = 15581825, upload-time = "2025-04-19T22:39:45.794Z" },
-    { url = "https://files.pythonhosted.org/packages/80/1f/2b6fcd636e848053f5b57712a7d1880b1565eec35a637fdfd0a30d5e738d/numpy-2.2.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5a0ac90e46fdb5649ab6369d1ab6104bfe5854ab19b645bf5cda0127a13034ae", size = 17899600, upload-time = "2025-04-19T22:40:13.427Z" },
-    { url = "https://files.pythonhosted.org/packages/ec/87/36801f4dc2623d76a0a3835975524a84bd2b18fe0f8835d45c8eae2f9ff2/numpy-2.2.5-cp312-cp312-win32.whl", hash = "sha256:0cd48122a6b7eab8f06404805b1bd5856200e3ed6f8a1b9a194f9d9054631beb", size = 6312626, upload-time = "2025-04-19T22:40:25.223Z" },
-    { url = "https://files.pythonhosted.org/packages/8b/09/4ffb4d6cfe7ca6707336187951992bd8a8b9142cf345d87ab858d2d7636a/numpy-2.2.5-cp312-cp312-win_amd64.whl", hash = "sha256:ced69262a8278547e63409b2653b372bf4baff0870c57efa76c5703fd6543282", size = 12645715, upload-time = "2025-04-19T22:40:44.528Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/a0/0aa7f0f4509a2e07bd7a509042967c2fab635690d4f48c6c7b3afd4f448c/numpy-2.2.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:059b51b658f4414fff78c6d7b1b4e18283ab5fa56d270ff212d5ba0c561846f4", size = 20935102, upload-time = "2025-04-19T22:41:16.234Z" },
-    { url = "https://files.pythonhosted.org/packages/7e/e4/a6a9f4537542912ec513185396fce52cdd45bdcf3e9d921ab02a93ca5aa9/numpy-2.2.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:47f9ed103af0bc63182609044b0490747e03bd20a67e391192dde119bf43d52f", size = 14191709, upload-time = "2025-04-19T22:41:38.472Z" },
-    { url = "https://files.pythonhosted.org/packages/be/65/72f3186b6050bbfe9c43cb81f9df59ae63603491d36179cf7a7c8d216758/numpy-2.2.5-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:261a1ef047751bb02f29dfe337230b5882b54521ca121fc7f62668133cb119c9", size = 5149173, upload-time = "2025-04-19T22:41:47.823Z" },
-    { url = "https://files.pythonhosted.org/packages/e5/e9/83e7a9432378dde5802651307ae5e9ea07bb72b416728202218cd4da2801/numpy-2.2.5-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4520caa3807c1ceb005d125a75e715567806fed67e315cea619d5ec6e75a4191", size = 6684502, upload-time = "2025-04-19T22:41:58.689Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/27/b80da6c762394c8ee516b74c1f686fcd16c8f23b14de57ba0cad7349d1d2/numpy-2.2.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d14b17b9be5f9c9301f43d2e2a4886a33b53f4e6fdf9ca2f4cc60aeeee76372", size = 14084417, upload-time = "2025-04-19T22:42:19.897Z" },
-    { url = "https://files.pythonhosted.org/packages/aa/fc/ebfd32c3e124e6a1043e19c0ab0769818aa69050ce5589b63d05ff185526/numpy-2.2.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ba321813a00e508d5421104464510cc962a6f791aa2fca1c97b1e65027da80d", size = 16133807, upload-time = "2025-04-19T22:42:44.433Z" },
-    { url = "https://files.pythonhosted.org/packages/bf/9b/4cc171a0acbe4666f7775cfd21d4eb6bb1d36d3a0431f48a73e9212d2278/numpy-2.2.5-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4cbdef3ddf777423060c6f81b5694bad2dc9675f110c4b2a60dc0181543fac7", size = 15575611, upload-time = "2025-04-19T22:43:09.928Z" },
-    { url = "https://files.pythonhosted.org/packages/a3/45/40f4135341850df48f8edcf949cf47b523c404b712774f8855a64c96ef29/numpy-2.2.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:54088a5a147ab71a8e7fdfd8c3601972751ded0739c6b696ad9cb0343e21ab73", size = 17895747, upload-time = "2025-04-19T22:43:36.983Z" },
-    { url = "https://files.pythonhosted.org/packages/f8/4c/b32a17a46f0ffbde8cc82df6d3daeaf4f552e346df143e1b188a701a8f09/numpy-2.2.5-cp313-cp313-win32.whl", hash = "sha256:c8b82a55ef86a2d8e81b63da85e55f5537d2157165be1cb2ce7cfa57b6aef38b", size = 6309594, upload-time = "2025-04-19T22:47:10.523Z" },
-    { url = "https://files.pythonhosted.org/packages/13/ae/72e6276feb9ef06787365b05915bfdb057d01fceb4a43cb80978e518d79b/numpy-2.2.5-cp313-cp313-win_amd64.whl", hash = "sha256:d8882a829fd779f0f43998e931c466802a77ca1ee0fe25a3abe50278616b1471", size = 12638356, upload-time = "2025-04-19T22:47:30.253Z" },
-    { url = "https://files.pythonhosted.org/packages/79/56/be8b85a9f2adb688e7ded6324e20149a03541d2b3297c3ffc1a73f46dedb/numpy-2.2.5-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:e8b025c351b9f0e8b5436cf28a07fa4ac0204d67b38f01433ac7f9b870fa38c6", size = 20963778, upload-time = "2025-04-19T22:44:09.251Z" },
-    { url = "https://files.pythonhosted.org/packages/ff/77/19c5e62d55bff507a18c3cdff82e94fe174957bad25860a991cac719d3ab/numpy-2.2.5-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:8dfa94b6a4374e7851bbb6f35e6ded2120b752b063e6acdd3157e4d2bb922eba", size = 14207279, upload-time = "2025-04-19T22:44:31.383Z" },
-    { url = "https://files.pythonhosted.org/packages/75/22/aa11f22dc11ff4ffe4e849d9b63bbe8d4ac6d5fae85ddaa67dfe43be3e76/numpy-2.2.5-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:97c8425d4e26437e65e1d189d22dff4a079b747ff9c2788057bfb8114ce1e133", size = 5199247, upload-time = "2025-04-19T22:44:40.361Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/6c/12d5e760fc62c08eded0394f62039f5a9857f758312bf01632a81d841459/numpy-2.2.5-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:352d330048c055ea6db701130abc48a21bec690a8d38f8284e00fab256dc1376", size = 6711087, upload-time = "2025-04-19T22:44:51.188Z" },
-    { url = "https://files.pythonhosted.org/packages/ef/94/ece8280cf4218b2bee5cec9567629e61e51b4be501e5c6840ceb593db945/numpy-2.2.5-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b4c0773b6ada798f51f0f8e30c054d32304ccc6e9c5d93d46cb26f3d385ab19", size = 14059964, upload-time = "2025-04-19T22:45:12.451Z" },
-    { url = "https://files.pythonhosted.org/packages/39/41/c5377dac0514aaeec69115830a39d905b1882819c8e65d97fc60e177e19e/numpy-2.2.5-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:55f09e00d4dccd76b179c0f18a44f041e5332fd0e022886ba1c0bbf3ea4a18d0", size = 16121214, upload-time = "2025-04-19T22:45:37.734Z" },
-    { url = "https://files.pythonhosted.org/packages/db/54/3b9f89a943257bc8e187145c6bc0eb8e3d615655f7b14e9b490b053e8149/numpy-2.2.5-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:02f226baeefa68f7d579e213d0f3493496397d8f1cff5e2b222af274c86a552a", size = 15575788, upload-time = "2025-04-19T22:46:01.908Z" },
-    { url = "https://files.pythonhosted.org/packages/b1/c4/2e407e85df35b29f79945751b8f8e671057a13a376497d7fb2151ba0d290/numpy-2.2.5-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c26843fd58f65da9491165072da2cccc372530681de481ef670dcc8e27cfb066", size = 17893672, upload-time = "2025-04-19T22:46:28.585Z" },
-    { url = "https://files.pythonhosted.org/packages/29/7e/d0b44e129d038dba453f00d0e29ebd6eaf2f06055d72b95b9947998aca14/numpy-2.2.5-cp313-cp313t-win32.whl", hash = "sha256:1a161c2c79ab30fe4501d5a2bbfe8b162490757cf90b7f05be8b80bc02f7bb8e", size = 6377102, upload-time = "2025-04-19T22:46:39.949Z" },
-    { url = "https://files.pythonhosted.org/packages/63/be/b85e4aa4bf42c6502851b971f1c326d583fcc68227385f92089cf50a7b45/numpy-2.2.5-cp313-cp313t-win_amd64.whl", hash = "sha256:d403c84991b5ad291d3809bace5e85f4bbf44a04bdc9a88ed2bb1807b3360bb8", size = 12750096, upload-time = "2025-04-19T22:47:00.147Z" },
+version = "2.2.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" },
+    { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" },
+    { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" },
+    { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" },
+    { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" },
+    { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" },
+    { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" },
+    { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" },
+    { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" },
+    { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" },
+    { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" },
+    { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" },
+    { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" },
+    { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" },
+    { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" },
+]
+
+[[package]]
+name = "onnx"
+version = "1.18.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "protobuf" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3d/60/e56e8ec44ed34006e6d4a73c92a04d9eea6163cc12440e35045aec069175/onnx-1.18.0.tar.gz", hash = "sha256:3d8dbf9e996629131ba3aa1afd1d8239b660d1f830c6688dd7e03157cccd6b9c", size = 12563009, upload-time = "2025-05-12T22:03:09.626Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/fe/16228aca685392a7114625b89aae98b2dc4058a47f0f467a376745efe8d0/onnx-1.18.0-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:521bac578448667cbb37c50bf05b53c301243ede8233029555239930996a625b", size = 18285770, upload-time = "2025-05-12T22:02:26.116Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/77/ba50a903a9b5e6f9be0fa50f59eb2fca4a26ee653375408fbc72c3acbf9f/onnx-1.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4da451bf1c5ae381f32d430004a89f0405bc57a8471b0bddb6325a5b334aa40", size = 17421291, upload-time = "2025-05-12T22:02:29.645Z" },
+    { url = "https://files.pythonhosted.org/packages/11/23/25ec2ba723ac62b99e8fed6d7b59094dadb15e38d4c007331cc9ae3dfa5f/onnx-1.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99afac90b4cdb1471432203c3c1f74e16549c526df27056d39f41a9a47cfb4af", size = 17584084, upload-time = "2025-05-12T22:02:32.789Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/4d/2c253a36070fb43f340ff1d2c450df6a9ef50b938adcd105693fee43c4ee/onnx-1.18.0-cp312-cp312-win32.whl", hash = "sha256:ee159b41a3ae58d9c7341cf432fc74b96aaf50bd7bb1160029f657b40dc69715", size = 15734892, upload-time = "2025-05-12T22:02:35.527Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/92/048ba8fafe6b2b9a268ec2fb80def7e66c0b32ab2cae74de886981f05a27/onnx-1.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:102c04edc76b16e9dfeda5a64c1fccd7d3d2913b1544750c01d38f1ac3c04e05", size = 15850336, upload-time = "2025-05-12T22:02:38.545Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/66/bbc4ffedd44165dcc407a51ea4c592802a5391ce3dc94aa5045350f64635/onnx-1.18.0-cp312-cp312-win_arm64.whl", hash = "sha256:911b37d724a5d97396f3c2ef9ea25361c55cbc9aa18d75b12a52b620b67145af", size = 15823802, upload-time = "2025-05-12T22:02:42.037Z" },
+    { url = "https://files.pythonhosted.org/packages/45/da/9fb8824513fae836239276870bfcc433fa2298d34ed282c3a47d3962561b/onnx-1.18.0-cp313-cp313-macosx_12_0_universal2.whl", hash = "sha256:030d9f5f878c5f4c0ff70a4545b90d7812cd6bfe511de2f3e469d3669c8cff95", size = 18285906, upload-time = "2025-05-12T22:02:45.01Z" },
+    { url = "https://files.pythonhosted.org/packages/05/e8/762b5fb5ed1a2b8e9a4bc5e668c82723b1b789c23b74e6b5a3356731ae4e/onnx-1.18.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8521544987d713941ee1e591520044d35e702f73dc87e91e6d4b15a064ae813d", size = 17421486, upload-time = "2025-05-12T22:02:48.467Z" },
+    { url = "https://files.pythonhosted.org/packages/12/bb/471da68df0364f22296456c7f6becebe0a3da1ba435cdb371099f516da6e/onnx-1.18.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c137eecf6bc618c2f9398bcc381474b55c817237992b169dfe728e169549e8f", size = 17583581, upload-time = "2025-05-12T22:02:51.784Z" },
+    { url = "https://files.pythonhosted.org/packages/76/0d/01a95edc2cef6ad916e04e8e1267a9286f15b55c90cce5d3cdeb359d75d6/onnx-1.18.0-cp313-cp313-win32.whl", hash = "sha256:6c093ffc593e07f7e33862824eab9225f86aa189c048dd43ffde207d7041a55f", size = 15734621, upload-time = "2025-05-12T22:02:54.62Z" },
+    { url = "https://files.pythonhosted.org/packages/64/95/253451a751be32b6173a648b68f407188009afa45cd6388780c330ff5d5d/onnx-1.18.0-cp313-cp313-win_amd64.whl", hash = "sha256:230b0fb615e5b798dc4a3718999ec1828360bc71274abd14f915135eab0255f1", size = 15850472, upload-time = "2025-05-12T22:02:57.54Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/b1/6fd41b026836df480a21687076e0f559bc3ceeac90f2be8c64b4a7a1f332/onnx-1.18.0-cp313-cp313-win_arm64.whl", hash = "sha256:6f91930c1a284135db0f891695a263fc876466bf2afbd2215834ac08f600cfca", size = 15823808, upload-time = "2025-05-12T22:03:00.305Z" },
+    { url = "https://files.pythonhosted.org/packages/70/f3/499e53dd41fa7302f914dd18543da01e0786a58b9a9d347497231192001f/onnx-1.18.0-cp313-cp313t-macosx_12_0_universal2.whl", hash = "sha256:2f4d37b0b5c96a873887652d1cbf3f3c70821b8c66302d84b0f0d89dd6e47653", size = 18316526, upload-time = "2025-05-12T22:03:03.691Z" },
+    { url = "https://files.pythonhosted.org/packages/84/dd/6abe5d7bd23f5ed3ade8352abf30dff1c7a9e97fc1b0a17b5d7c726e98a9/onnx-1.18.0-cp313-cp313t-win_amd64.whl", hash = "sha256:a69afd0baa372162948b52c13f3aa2730123381edf926d7ef3f68ca7cec6d0d0", size = 15865055, upload-time = "2025-05-12T22:03:06.663Z" },
 ]
 
 [[package]]
@@ -507,6 +542,23 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c3/16/873b955beda7bada5b0d798d3a601b2ff210e44ad5169f6d405b93892103/onnxruntime-1.22.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:64845709f9e8a2809e8e009bc4c8f73b788cee9c6619b7d9930344eae4c9cd36", size = 16427482, upload-time = "2025-05-09T20:26:20.376Z" },
 ]
 
+[[package]]
+name = "opencv-python-headless"
+version = "4.11.0.86"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/36/2f/5b2b3ba52c864848885ba988f24b7f105052f68da9ab0e693cc7c25b0b30/opencv-python-headless-4.11.0.86.tar.gz", hash = "sha256:996eb282ca4b43ec6a3972414de0e2331f5d9cda2b41091a49739c19fb843798", size = 95177929, upload-time = "2025-01-16T13:53:40.22Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dc/53/2c50afa0b1e05ecdb4603818e85f7d174e683d874ef63a6abe3ac92220c8/opencv_python_headless-4.11.0.86-cp37-abi3-macosx_13_0_arm64.whl", hash = "sha256:48128188ade4a7e517237c8e1e11a9cdf5c282761473383e77beb875bb1e61ca", size = 37326460, upload-time = "2025-01-16T13:52:57.015Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/43/68555327df94bb9b59a1fd645f63fafb0762515344d2046698762fc19d58/opencv_python_headless-4.11.0.86-cp37-abi3-macosx_13_0_x86_64.whl", hash = "sha256:a66c1b286a9de872c343ee7c3553b084244299714ebb50fbdcd76f07ebbe6c81", size = 56723330, upload-time = "2025-01-16T13:55:45.731Z" },
+    { url = "https://files.pythonhosted.org/packages/45/be/1438ce43ebe65317344a87e4b150865c5585f4c0db880a34cdae5ac46881/opencv_python_headless-4.11.0.86-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6efabcaa9df731f29e5ea9051776715b1bdd1845d7c9530065c7951d2a2899eb", size = 29487060, upload-time = "2025-01-16T13:51:59.625Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/5c/c139a7876099916879609372bfa513b7f1257f7f1a908b0bdc1c2328241b/opencv_python_headless-4.11.0.86-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b", size = 49969856, upload-time = "2025-01-16T13:53:29.654Z" },
+    { url = "https://files.pythonhosted.org/packages/95/dd/ed1191c9dc91abcc9f752b499b7928aacabf10567bb2c2535944d848af18/opencv_python_headless-4.11.0.86-cp37-abi3-win32.whl", hash = "sha256:f447d8acbb0b6f2808da71fddd29c1cdd448d2bc98f72d9bb78a7a898fc9621b", size = 29324425, upload-time = "2025-01-16T13:52:49.048Z" },
+    { url = "https://files.pythonhosted.org/packages/86/8a/69176a64335aed183529207ba8bc3d329c2999d852b4f3818027203f50e6/opencv_python_headless-4.11.0.86-cp37-abi3-win_amd64.whl", hash = "sha256:6c304df9caa7a6a5710b91709dd4786bf20a74d57672b3c31f7033cc638174ca", size = 39402386, upload-time = "2025-01-16T13:52:56.418Z" },
+]
+
 [[package]]
 name = "orjson"
 version = "3.10.18"