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pyproject.toml
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[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "first-breaks-picking"
dynamic = ["version"]
description = "Project is devoted to pick waves that are the first to be detected on a seismogram with neural network"
readme = {file = "README.md", content-type = "text/markdown"}
requires-python = ">=3.8"
authors = [
{name = "Aleksei Tarasov", email = "[email protected]"},
{name = "Aleksei Tarasov"},
]
urls = {Homepage = "https://github.com/DaloroAT/first_breaks_picking"}
keywords = [
"seismic",
"first-breaks",
"computer-vision",
"deep-learning",
"segmentation",
"data-science"
]
license = {file = "LICENSE"}
classifiers = [
"Environment :: Console",
"Environment :: X11 Applications :: Qt",
"Operating System :: OS Independent",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Programming Language :: Python",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
]
entry-points = {console_scripts = {first-breaks-picking = "first_breaks.cli:cli_commands"}}
dependencies = [
"requests>=2.28.2",
"numpy>=1.24.2",
"pandas>=2.0.0",
"PyQt5>=5.15.9",
"pyqtgraph>=0.13.3",
"tqdm>=4.65.0",
"click>=8.1.3",
"pydantic>=2.0.3",
"pytest>=7.3.2",
"pytest-qt>=4.4.0",
"onnxruntime>=1.14.1"
]
[tool.setuptools.dynamic]
version = {file = "first_breaks/VERSION"}
[tool.setuptools.packages.find]
exclude = ["first_breaks._pytorch*"]
include = ["first_breaks*"]
[tool.briefcase]
project_name = "FirstBreaksPicking"
bundle = "com.example"
version = "0.7.4"
url = "https://github.com/DaloroAT/first_breaks_picking"
license = {file = "LICENSE"}
[tool.briefcase.app.first_breaks]
formal_name = "FirstBreaksPicking"
#description = "Project is devoted to pick waves that are the first to be detected on a seismogram with neural network"
#icon = "src/mypysideapp/resources/appicon" # Briecase will choose the right extension depending the os (png,ico,...)
sources = ['first_breaks']