This commit is contained in:
2024-11-21 18:28:32 +08:00
parent 6be586a26e
commit 3ca9712cdd
2 changed files with 218 additions and 34 deletions

165
.gitignore vendored
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@ -1,2 +1,167 @@
*.jpg
*.jpeg
*.pdf
*.png
# 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/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# 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/

83
test.py
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@ -3,6 +3,8 @@ from cv2 import aruco
from cv2.typing import MatLike
from enum import Enum
from pathlib import Path
from loguru import logger
from itertools import chain
class ArucoDictionary(Enum):
@ -36,46 +38,63 @@ def create_charuco_board(
marker_length: float,
dictionary: aruco.Dictionary,
) -> aruco.CharucoBoard:
return aruco.CharucoBoard( # type: ignore
return aruco.CharucoBoard( # type: ignore
(square_x, square_y), square_length, marker_length, dictionary
)
IMAGE_PATH= Path("/Users/crosstyan/Downloads/IMG_1505.jpeg")
# IMAGE_PATH = Path("/Users/crosstyan/Downloads/IMG_1505.jpeg")
# IMAGE_PATH = Path("ss.png")
IMAGE_FOLDER = Path("at")
OUTPUT_FOLDER = Path("output")
DICTIONARY = ArucoDictionary.Dict_4X4_50
def main():
img: MatLike
img = cv2.imread(str(IMAGE_PATH))
# 10x7
border_num_x = 10
border_num_y = 7
# 115mm square
# 90mm marker
dictionary = ArucoDictionary.Dict_4X4_50
predifined = aruco.getPredefinedDictionary(dictionary.value)
# https://docs.opencv.org/4.x/d9/d6a/group__aruco.html#ga3bc50d61fe4db7bce8d26d56b5a6428a
# https://docs.opencv.org/4.x/df/d4a/tutorial_charuco_detection.html
# https://docs.opencv.org/3.4/df/d4a/tutorial_charuco_detection.html
# https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html
OUTPUT_FOLDER.mkdir(exist_ok=True)
images = chain(IMAGE_FOLDER.glob("*.jpeg"), IMAGE_FOLDER.glob("*.png"), IMAGE_FOLDER.glob("*.jpg"))
for img_path in images:
img = cv2.imread(str(img_path))
# 10x7
# minus 1
border_num_x = 9
border_num_y = 6
# 115mm square
# 90mm marker
# https://docs.opencv.org/4.x/d9/d6a/group__aruco.html#ga3bc50d61fe4db7bce8d26d56b5a6428a
# https://docs.opencv.org/4.x/df/d4a/tutorial_charuco_detection.html
# https://docs.opencv.org/3.4/df/d4a/tutorial_charuco_detection.html
# https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, chess_corners = cv2.findChessboardCorners(gray, (border_num_x, border_num_y), None)
if ret:
cv2.drawChessboardCorners(img, (border_num_x, border_num_y), chess_corners, ret)
cv2.imwrite("output.jpg", img)
else:
print("not found")
# https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga93efa9b0aa890de240ca32b11253dd4a
# https://docs.opencv.org/4.x/da/d13/tutorial_aruco_calibration.html
# https://github.com/opencv/opencv/issues/22083
ret, chess_corners = cv2.findChessboardCorners(
img,
(border_num_x, border_num_y),
flags=cv2.CALIB_CB_ADAPTIVE_THRESH
| cv2.CALIB_CB_NORMALIZE_IMAGE
| cv2.CALIB_CB_FAST_CHECK,
)
if ret:
cv2.drawChessboardCorners(
img, (border_num_x, border_num_y), chess_corners, ret
)
cv2.imwrite(str(OUTPUT_FOLDER / f"{img_path.stem}_chess.jpg"), img)
logger.info("Chessboard found for {}", img_path)
else:
logger.warning("Chessboard not found for {}", img_path)
# corners, ids, rejected = aruco.detectMarkers(img, predifined)
# board = create_charuco_board(10, 7, 115, 90, predifined)
# detector = aruco.CharucoDetector(board)
# if ids is not None:
# aruco.drawDetectedMarkers(img, corners, ids)
# _, ch_corners, ch_ids = aruco.interpolateCornersCharuco(corners, ids, img, board)
# if ch_corners is not None and ch_ids is not None:
# aruco.drawDetectedCornersCharuco(img, ch_corners, ch_ids)
# cv2.imwrite("output.jpg", img)
# predefined_dict = aruco.getPredefinedDictionary(DICTIONARY.value)
# corners, ids, rejected = aruco.detectMarkers(img, predefined_dict)
# board = create_charuco_board(10, 7, 115, 90, predefined_dict)
# detector = aruco.CharucoDetector(board)
# if ids is not None:
# aruco.drawDetectedMarkers(img, corners, ids)
# ret, ch_corners, ch_ids = aruco.interpolateCornersCharuco(corners, ids, img, board)
# if ch_corners is not None and ch_ids is not None:
# aruco.drawDetectedCornersCharuco(img, ch_corners, ch_ids)
# cv2.imwrite("output.jpg", img)
if __name__ == "__main__":
main()