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Copy pathpyproject.toml
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55 lines (51 loc) · 1.62 KB
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[project]
name = "sign-language-detector"
version = "1.0.0"
description = "Real-time sign language detection and model training platform with Flask web interfaces."
readme = "README.md"
requires-python = ">=3.12,<3.13"
authors = [
{ name = "VKrishna04" }
]
license = { text = "Apache-2.0" }
keywords = ["sign-language", "computer-vision", "flask", "mediapipe", "machine-learning"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Framework :: Flask",
"Topic :: Scientific/Engineering :: Image Recognition"
]
dependencies = [
"colorama==0.4.6",
"Flask==3.1.0",
"Flask-Session==0.8.0",
"matplotlib==3.10.0",
"mediapipe==0.10.14",
"numpy==1.26.4",
"opencv-contrib-python==4.11.0.86",
"opencv-python==4.10.0.84",
"protobuf==4.25.9",
"python-dotenv==1.0.1",
"scikit-learn==1.6.0",
"tabulate==0.9.0",
"tqdm==4.67.1"
]
[project.urls]
Homepage = "https://github.com/Life-Experimentalist/SignLanguageDetector"
Repository = "https://github.com/Life-Experimentalist/SignLanguageDetector"
Documentation = "https://github.com/Life-Experimentalist/SignLanguageDetector/tree/main/docs"
[tool.uv]
package = false
[tool.uv.scripts]
app = "python app.py"
multi = "python app_multi_client.py"
train = "python interactive_cli.py"
convert-reports = { cmd = ["python", "-c", "from training.convert_model_reports import convert_existing_model_reports; convert_existing_model_reports(lazy=False)"] }
[dependency-groups]
dev = [
"pytest>=8.3.5",
"ruff>=0.11.0"
]