fluidimage.calibration.calib_cv#
2D/3D Calibration using OpenCV (fluidimage.calibration.calib_cv
)#
- class fluidimage.calibration.calib_cv.ParamContainerCV(params_cv, tag='OpenCV')[source]#
Bases:
ParamContainer
A container to easily display OpenCV parameters
- class fluidimage.calibration.calib_cv.SimpleCircleGrid(params: ParamContainerCV)[source]#
Bases:
object
Detect the centers of calibration target consisting of a grid of circle shaped points. Use it to detect the image points.
- detect_all(image: ndarray, debug=False)[source]#
Detects all blobs as per parameters without any constraints.
- Parameters:
- image: array
A calibration image of maximum intensity 255.
- debugbool
Plot the detected points and the bounding box
- detect_grid(image: ndarray, origin: tuple, nx: int, ny: int, ds: float, debug=False)[source]#
Detect a
nx
byny
circle grid centered around an origin.- Parameters:
- image: array
A calibration image of maximum intensity 255.
- origin: tuple
Origin / Principal point location in pixel coordinates
- nx, nyint
Shape of the grid, i.e. number of points
- dsfloat
Grid spacing in pixel coordinates
- debugbool
Plot the detected points and the bounding box
- class fluidimage.calibration.calib_cv.CalibCV(path_file='cam.h5')[source]#
Bases:
object
Calibrate a camera and save them as HDF5 files. Also use this to load saved calibrations and interpolate extrinsic parameters (rotation and translation) while reconstructing.
- calibrate(imgpoints: list, objpoints: list, zs: list, im_shape: tuple, origin=None, debug=False, flags=None)[source]#
Calibrate a camera based on a list of image points (in pixel coordinates) and object points (in world coordinates) and the z-locations (in world coordinates).
- Parameters:
- imgpointslist of arrays
Image points in pixel coordinates. Use SimpleCircleGrid to detect them from a single calibration image. Append such image points from multiple calibration images in a list.
- objpointslist of arrays
Object points as produced by function construct_object_points constitute a single array. Likewise append them into a list for multiple calibration images.
- zslist of float
List of z locations of the calibration targes in world coordinates.
- im_shapetuple of int
Image dimensions in pixels.
- origintuple, optional
Origin / Principal point location in pixel coordinates
- flagsint, optional
OpenCV specific calibration flags
- debugbool, optional
Return the result if true, else save it as an XML file.
Functions
|
Prepare object points in world coordinates, as flattened list of coordinates such as. |
Classes
|
Calibrate a camera and save them as HDF5 files. |
|
A container to easily display OpenCV parameters |
|
Detect the centers of calibration target consisting of a grid of circle shaped points. |