x
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165
.gitignore
vendored
165
.gitignore
vendored
@ -1,2 +1,167 @@
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*.jpg
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*.jpeg
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*.pdf
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*.png
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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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# C extensions
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*.so
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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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# 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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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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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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# Translations
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*.mo
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*.pot
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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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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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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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# 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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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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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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# 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/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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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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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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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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# 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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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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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/
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51
test.py
51
test.py
@ -3,6 +3,8 @@ from cv2 import aruco
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from cv2.typing import MatLike
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from enum import Enum
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from pathlib import Path
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from loguru import logger
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from itertools import chain
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class ArucoDictionary(Enum):
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@ -40,37 +42,55 @@ def create_charuco_board(
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(square_x, square_y), square_length, marker_length, dictionary
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)
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IMAGE_PATH= Path("/Users/crosstyan/Downloads/IMG_1505.jpeg")
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# IMAGE_PATH = Path("/Users/crosstyan/Downloads/IMG_1505.jpeg")
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# IMAGE_PATH = Path("ss.png")
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IMAGE_FOLDER = Path("at")
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OUTPUT_FOLDER = Path("output")
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DICTIONARY = ArucoDictionary.Dict_4X4_50
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def main():
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img: MatLike
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img = cv2.imread(str(IMAGE_PATH))
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OUTPUT_FOLDER.mkdir(exist_ok=True)
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images = chain(IMAGE_FOLDER.glob("*.jpeg"), IMAGE_FOLDER.glob("*.png"), IMAGE_FOLDER.glob("*.jpg"))
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for img_path in images:
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img = cv2.imread(str(img_path))
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# 10x7
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border_num_x = 10
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border_num_y = 7
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# minus 1
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border_num_x = 9
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border_num_y = 6
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# 115mm square
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# 90mm marker
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dictionary = ArucoDictionary.Dict_4X4_50
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predifined = aruco.getPredefinedDictionary(dictionary.value)
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# https://docs.opencv.org/4.x/d9/d6a/group__aruco.html#ga3bc50d61fe4db7bce8d26d56b5a6428a
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# https://docs.opencv.org/4.x/df/d4a/tutorial_charuco_detection.html
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# https://docs.opencv.org/3.4/df/d4a/tutorial_charuco_detection.html
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# https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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ret, chess_corners = cv2.findChessboardCorners(gray, (border_num_x, border_num_y), None)
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# https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga93efa9b0aa890de240ca32b11253dd4a
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# https://docs.opencv.org/4.x/da/d13/tutorial_aruco_calibration.html
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# https://github.com/opencv/opencv/issues/22083
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ret, chess_corners = cv2.findChessboardCorners(
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img,
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(border_num_x, border_num_y),
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flags=cv2.CALIB_CB_ADAPTIVE_THRESH
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| cv2.CALIB_CB_NORMALIZE_IMAGE
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| cv2.CALIB_CB_FAST_CHECK,
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)
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if ret:
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cv2.drawChessboardCorners(img, (border_num_x, border_num_y), chess_corners, ret)
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cv2.imwrite("output.jpg", img)
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cv2.drawChessboardCorners(
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img, (border_num_x, border_num_y), chess_corners, ret
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)
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cv2.imwrite(str(OUTPUT_FOLDER / f"{img_path.stem}_chess.jpg"), img)
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logger.info("Chessboard found for {}", img_path)
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else:
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print("not found")
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logger.warning("Chessboard not found for {}", img_path)
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# corners, ids, rejected = aruco.detectMarkers(img, predifined)
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# board = create_charuco_board(10, 7, 115, 90, predifined)
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# predefined_dict = aruco.getPredefinedDictionary(DICTIONARY.value)
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# corners, ids, rejected = aruco.detectMarkers(img, predefined_dict)
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# board = create_charuco_board(10, 7, 115, 90, predefined_dict)
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# detector = aruco.CharucoDetector(board)
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# if ids is not None:
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# aruco.drawDetectedMarkers(img, corners, ids)
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# _, ch_corners, ch_ids = aruco.interpolateCornersCharuco(corners, ids, img, board)
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# ret, ch_corners, ch_ids = aruco.interpolateCornersCharuco(corners, ids, img, board)
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# if ch_corners is not None and ch_ids is not None:
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# aruco.drawDetectedCornersCharuco(img, ch_corners, ch_ids)
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# cv2.imwrite("output.jpg", img)
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@ -78,4 +98,3 @@ def main():
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if __name__ == "__main__":
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main()
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