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  *.7z filter=lfs diff=lfs merge=lfs -text
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  *.arrow filter=lfs diff=lfs merge=lfs -text
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  *.bin filter=lfs diff=lfs merge=lfs -text
 
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+ *jpg filter=lfs diff=lfs merge=lfs -text
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  *.7z filter=lfs diff=lfs merge=lfs -text
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  *.arrow filter=lfs diff=lfs merge=lfs -text
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.gitignore ADDED
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+ gradio_cached_examples/
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+
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+ # Byte-compiled / optimized / DLL files
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+ __pycache__/
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+ *.py[cod]
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+ *$py.class
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+
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+ # C extensions
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+ *.so
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+
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+ # Distribution / packaging
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+ .Python
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+ build/
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+ develop-eggs/
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+ dist/
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+ downloads/
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+ eggs/
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+ .eggs/
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+ lib/
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+ lib64/
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+ parts/
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+ sdist/
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+ var/
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+ wheels/
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+ share/python-wheels/
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+ *.egg-info/
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+ .installed.cfg
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+ *.egg
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+ MANIFEST
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+
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+ # PyInstaller
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+ # Usually these files are written by a python script from a template
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+ # before PyInstaller builds the exe, so as to inject date/other infos into it.
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+ *.manifest
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+ *.spec
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+
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+ # Installer logs
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+ pip-log.txt
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+ pip-delete-this-directory.txt
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+
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+ # Unit test / coverage reports
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+ htmlcov/
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+ .tox/
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+ .nox/
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+ .coverage
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+ .coverage.*
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+ .cache
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+ nosetests.xml
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+ coverage.xml
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+ *.cover
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+ *.py,cover
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+ .hypothesis/
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+ .pytest_cache/
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+ cover/
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+
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+ # Translations
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+ *.mo
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+ *.pot
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+
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+ # Django stuff:
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+ *.log
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+ local_settings.py
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+ db.sqlite3
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+ db.sqlite3-journal
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+
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+ # Flask stuff:
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+ instance/
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+ .webassets-cache
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+
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+ # Scrapy stuff:
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+ .scrapy
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+
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+ # Sphinx documentation
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+ docs/_build/
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+
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+ # PyBuilder
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+ .pybuilder/
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+ target/
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+
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+ # Jupyter Notebook
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+ .ipynb_checkpoints
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+
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+ # IPython
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+ profile_default/
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+ ipython_config.py
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+
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+ # pyenv
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+ # For a library or package, you might want to ignore these files since the code is
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+ # intended to run in multiple environments; otherwise, check them in:
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+ # .python-version
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+
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+ # pipenv
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+ # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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+ # However, in case of collaboration, if having platform-specific dependencies or dependencies
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+ # having no cross-platform support, pipenv may install dependencies that don't work, or not
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+ # poetry
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+ # This is especially recommended for binary packages to ensure reproducibility, and is more
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+ # commonly ignored for libraries.
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+ # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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+ #poetry.lock
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+
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+ # pdm
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+ # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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+ #pdm.lock
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+ # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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+ # in version control.
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+ # https://pdm.fming.dev/#use-with-ide
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+ .pdm.toml
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+
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+ # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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+ __pypackages__/
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+
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+ # Celery stuff
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+ celerybeat-schedule
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+ celerybeat.pid
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+
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+ # SageMath parsed files
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+ *.sage.py
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+
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+ # Environments
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+ .env
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+ .venv
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+ env/
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+ venv/
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+ ENV/
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+ env.bak/
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+ venv.bak/
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+
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+ # Spyder project settings
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+ .spyderproject
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+ .spyproject
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+ # Rope project settings
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+ .ropeproject
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+ # mkdocs documentation
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+ /site
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+
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+ # mypy
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+ .mypy_cache/
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+ .dmypy.json
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+ dmypy.json
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+
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+ # Pyre type checker
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+ .pyre/
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+
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+ # pytype static type analyzer
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+
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+ # Cython debug symbols
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+ # PyCharm
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+ # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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+ # and can be added to the global gitignore or merged into this file. For a more nuclear
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+ # option (not recommended) you can uncomment the following to ignore the entire idea folder.
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+ #.idea/
.pre-commit-config.yaml ADDED
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+ repos:
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+ - repo: https://github.com/pre-commit/pre-commit-hooks
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+ rev: v4.2.0
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+ hooks:
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+ - id: check-executables-have-shebangs
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+ - id: check-json
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+ - id: check-merge-conflict
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+ - id: check-shebang-scripts-are-executable
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+ - id: check-toml
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+ - id: check-yaml
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+ - id: double-quote-string-fixer
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+ - id: end-of-file-fixer
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+ - id: mixed-line-ending
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+ args: ['--fix=lf']
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+ - id: requirements-txt-fixer
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+ - id: trailing-whitespace
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+ - repo: https://github.com/myint/docformatter
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+ rev: v1.4
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+ hooks:
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+ - id: docformatter
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+ args: ['--in-place']
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+ - repo: https://github.com/pycqa/isort
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+ rev: 5.12.0
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+ hooks:
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+ - id: isort
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+ - repo: https://github.com/pre-commit/mirrors-mypy
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+ rev: v0.991
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+ hooks:
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+ - id: mypy
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+ args: ['--ignore-missing-imports']
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+ - repo: https://github.com/google/yapf
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+ rev: v0.32.0
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+ hooks:
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+ - id: yapf
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+ args: ['--parallel', '--in-place']
.style.yapf ADDED
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+ [style]
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+ based_on_style = pep8
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+ blank_line_before_nested_class_or_def = false
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+ spaces_before_comment = 2
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+ split_before_logical_operator = true
LICENSE ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ MIT License
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+
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+ Copyright (c) 2023 hysts
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
app.py ADDED
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+ #!/usr/bin/env python
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+
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+ import pathlib
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+
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+ import gradio as gr
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+ import numpy as np
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+ import PIL.Image
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+ import torch
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+ from sahi.prediction import ObjectPrediction
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+ from sahi.utils.cv import visualize_object_predictions
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+ from transformers import AutoImageProcessor, DetaForObjectDetection
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+
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+ DESCRIPTION = '# DETA (Detection Transformers with Assignment)'
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+
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+ device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
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+
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+ MODEL_ID = 'jozhang97/deta-swin-large'
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+ image_processor = AutoImageProcessor.from_pretrained(MODEL_ID)
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+ model = DetaForObjectDetection.from_pretrained(MODEL_ID)
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+ model.to(device)
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+
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+
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+ @torch.inference_mode()
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+ def run(image_path: str, threshold: float) -> np.ndarray:
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+ image = PIL.Image.open(image_path)
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+ inputs = image_processor(images=image, return_tensors='pt').to(device)
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+ outputs = model(**inputs)
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+ target_sizes = torch.tensor([image.size[::-1]])
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+ results = image_processor.post_process_object_detection(
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+ outputs, threshold=threshold, target_sizes=target_sizes)[0]
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+
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+ boxes = results['boxes'].cpu().numpy()
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+ scores = results['scores'].cpu().numpy()
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+ cat_ids = results['labels'].cpu().numpy().tolist()
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+
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+ preds = []
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+ for box, score, cat_id in zip(boxes, scores, cat_ids):
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+ box = np.round(box).astype(int)
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+ cat_label = model.config.id2label[cat_id]
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+ pred = ObjectPrediction(bbox=box,
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+ category_id=cat_id,
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+ category_name=cat_label,
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+ score=score)
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+ preds.append(pred)
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+
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+ res = visualize_object_predictions(np.asarray(image), preds)['image']
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+ return res
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+
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+
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+ with gr.Blocks(css='style.css') as demo:
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+ gr.Markdown(DESCRIPTION)
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+ with gr.Row():
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+ with gr.Column():
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+ image = gr.Image(label='Input image', type='filepath')
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+ threshold = gr.Slider(label='Score threshold',
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+ minimum=0,
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+ maximum=1,
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+ value=0.1,
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+ step=0.01)
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+ run_button = gr.Button('Run')
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+ result = gr.Image(label='Result', type='numpy')
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+
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+ with gr.Row():
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+ paths = sorted(pathlib.Path('images').glob('*.jpg'))
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+ gr.Examples(examples=[[path.as_posix(), 0.1] for path in paths],
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+ inputs=[image, threshold],
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+ outputs=result,
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+ fn=run,
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+ cache_examples=True)
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+
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+ run_button.click(fn=run, inputs=[image, threshold], outputs=result)
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+
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+ demo.queue().launch()
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requirements.txt ADDED
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+ git+https://github.com/huggingface/transformers@59d5ede
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+ numpy==1.24.1
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+ Pillow==9.4.0
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+ sahi==0.11.11
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+ torch==1.13.1
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+ torchvision==0.14.1
style.css ADDED
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+ h1 {
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+ text-align: center;
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+ }