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pyptv / optv python

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optv / orientation.cpython-310-darwin.so
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optv.orientationoptv/orientation.pyx?DTYPEITYPEImportErrorMust have at least as many targets as ref. points.Note that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False.Orientation iteration failed, need better setup.ValueErroradd_noteascontiguousarrayasyncio.coroutinescalibcalscamcc__class_getitem__cline_in_tracebackctargetsdb_lengthdb_weightdisableemptyenableenumerateepserr_estfloat64__func__gc_initializingint32isenabledixk1k2k3__main__npnum_camsnum_ptsnum_targetsnumpy.core.multiarray failed to importnumpy.core.umath failed to importoripp1p2pnrpopprintptptx__pyx_vtable__rangercmref_coordresresidualsretscale__set_name__shearsorted_targs__spec__successttargtargs__test__usedwrong number of cameras in point_positionsxhyhzeros__module____name____qualname___is_coroutinenumpydtypefull_calibration
    Performs a full calibration, affecting all calibration structs.
    calref_ptsimg_ptscparamflagspoint_positions
    Calculate positions of points from target coordinates.
    targetsvparammatch_detection_to_ref
    Creates a TargetArray where the targets are those for which a point in the
    projected reference is close enough to be considered a match, ordered by 
    the order of corresponding references, with "empty targets" for detection 
    points that have no match.
    
    Each target's pnr attribute is set to the index of the target in the array, 
    which is also the index of the associated reference point in ref_pts. 
    
    Arguments:
    Calibration cal - position and other parameters of the camera.
    np.ndarray[ndim=2, dtype=DTYPE_t] ref_pts - an (n,3) array, the 3D known 
        positions of the selected 2D points found on the image.
    TargetArray img_pts - detected points to match to known 3D positions.
    ControlParams cparam - an object holding general control parameters.
    int eps - pixel radius of neighbourhood around detection to search for
        closest projection.
    
    Returns:
    TargetArray holding the sorted targets.
    
    Calculate the 3D positions of the points given by their 2D projections
    using one of the options: 
    - for a single camera, uses single_cam_point_positions()
    - for multiple cameras, uses multi_cam_point_positions()

    Arguments:
    np.ndarray[ndim=3, dtype=DTYPE_t] targets - (num_targets, num_cams, 2) array,
        containing the metric coordinates of each target on the image plane of
        each camera. Cameras must be in the same order for all targets.
    ControlParams cparam - needed for the parameters of the tank through which
        we see the targets.
    cals - a sequence of Calibration objects for each of the cameras, in the
        camera order of ``targets``.
    VolumeParams vparam - an object holding observed volume size parameters, needed
        for the single camera case only.

    Returns:
    res - (n,3) array for n points represented by their targets.
    rcm - n-length array, the Ray Convergence Measure for eachpoint for multi camera
        option, or zeros for a single camera option
    single_cam_point_positions
    Calculates the 3D positions of the points from a single camera using
    the 2D target positions given in metric coordinates

    multi_cam_point_positions
    Calculate the 3D positions of the points given by their 2D projections.

    Arguments:
    np.ndarray[ndim=3, dtype=DTYPE_t] targets - (num_targets, num_cams, 2) array,
        containing the metric coordinates of each target on the image plane of
        each camera. Cameras must be in the same order for all targets.
    ControlParams cparam - needed for the parameters of the tank through which
        we see the targets.
    cals - a sequence of Calibration objects for each of the cameras, in the
        camera order of ``targets``.

    Returns:
    res - (n,3) array for n points represented by their targets.
    rcm - n-length array, the Ray Convergence Measure for eachpoint.
    external_calibration
    Update the external calibration with results of raw orientation, i.e.
    the iterative process that adjust the initial guess' external parameters
    (position and angle of cameras) without internal or distortions.
    
    Arguments:
    Calibration cal - position and other parameters of the camera.
    np.ndarray[ndim=2, dtype=DTYPE_t] ref_pts - an (n,3) array, the 3D known 
        positions of the select 2D points found on the image.
    np.ndarray[ndim=2, dtype=DTYPE_t] img_pts - a selection of pixel coordinates
        of image points whose 3D position is known.
    ControlParams cparam - an object holding general control parameters.
    
    Returns:
    True if iteration succeeded, false otherwise.
    
    Performs a full calibration, affecting all calibration structs.
    
    Arguments:
    Calibration cal - current position and other parameters of the camera. Will
        be overwritten with new calibration if iteration succeeded, otherwise 
        remains untouched.
    np.ndarray[ndim=2, dtype=DTYPE_t] ref_pts - an (n,3) array, the 3D known 
        positions of the select 2D points found on the image.
    TargetArray img_pts - detected points to match to known 3D positions.
        Must be sorted by matching ref point (as done by function
        ``match_detection_to_ref()``.
    ControlParams cparam - an object holding general control parameters.
    flags - a list whose members are the names of possible distortion
        parameters. Only parameter names present in the list will be used.
        Passing an empty list should be functionally equivalent to a raw 
        calibration, though the code paths taken in C are different. 
        
        The recognized flags are: 
            'cc', 'xh', 'yh' - sensor position.
            'k1', 'k2', 'k3' - radial distortion.
            'p1', 'p2' - decentering
            'scale', 'shear' - affine transforms.
        
        This is what the underlying library uses a struct for, but come on.
    
    Returns:
    ret - (r,2) array, the residuals in the x and y direction for r points used
        in orientation.
    used - r-length array, indices into target array of targets used.
    err_est - error estimation per calibration DOF. We 
    
    Raises:
    ValueError if iteration did not converge.
    dumbbell_target_func
    Wrap the epipolar convergence test.
    
    Arguments:
    np.ndarray[ndim=3, dtype=DTYPE_t] targets - (num_targets, num_cams, 2) array,
        containing the metric coordinates of each target on the image plane of
        each camera. Cameras must be in the same order for all targets.
    ControlParams cparam - needed for the parameters of the tank through which
        we see the targets.
    cals - a sequence of Calibration objects for each of the cameras, in the 
        camera order of ``targets``.
    db_length - distance between two dumbbell targets.
    db_weight - weight of relative dumbbell size error in target function.
    wCan't open ascii file: %s
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step: %d, curr: %d, next: %d, links: %d, lost: %d, add: %d 
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res/rt_isres/ptv_isres/added_cython_3_1_2orientationnameloader__loader__origin__file__parent__package__submodule_search_locations__path__Interpreter change detected - this module can only be loaded into one interpreter per process.Module 'orientation' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__init optv.orientation../../../../../../Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/numpy/__init__.cython-30.pxdcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%ddoes not matchShared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling_cython_3_1_2._common_types_metatype_cython_3_1_2.cython_function_or_method<cyfunction %U at %p>unbound method %.200S() needs an argumentkeywords must be stringstakes no argumentstakes exactly one argumentBad call flags for CyFunctiontakes no keyword arguments%.200s() %s (%zd given)%.200s() %s__reduce____dictoffset____vectorcalloffset____weaklistoffset__func_doc__doc__func_namefunc_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations____name__ must be set to a string object__qualname__ must be set to a string objectfunction's dictionary may not be deletedsetting function's dictionary to a non-dict__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function calls__annotations__ must be set to a dict objectcal_list2arrCalibration **(PyObject *)__pyx_capi__object of type 'NoneType' has no len()optv.orientation.cal_list2arroptv.orientation.__pyx_defaultsbase class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base type while calling a Python objectNULL result without error in PyObject_Calloptv.calibrationCalibrationoptv.parametersMultimediaParamsTrackingParamsSequenceParamsVolumeParamsControlParamsTargetParamsoptv.tracking_framebufTargetTargetArrayFrametypeflatiterbroadcastndarraygenericnumberintegersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufunc%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectinvalid vtable found for imported typenumpy.import_arraynumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is not PyCapsule object_ARRAY_API is NULL pointermodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%x . Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem .FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionname '%U' is not definedneeds an argumentoptv.orientation.full_calibration%s() got an unexpected keyword argument '%U'%s() got multiple values for keyword argument '%U'%.200s() keywords must be stringsat leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)sMissing type objectArgument '%.200s' has incorrect type (expected %.200s, got %.200s)%s%UBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)buffer dtypeBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'end'Buffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s''bool''char''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''complex float''float''complex double''double''complex long double''long double'a structPython objecta pointera stringunparsable format stringExpected a dimension of size %zu, got %zuExpected %d dimensions, got %dBuffer dtype mismatch; next field is at offset %zd but %zd expectedPython does not define a standard format string size for long double ('g')..Unexpected format string character: '%c'Cannot handle repeated arrays in format stringExpected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Does not understand character buffer dtype format string ('%c')DTYPE_toptv.orientation.__defaults__optv.orientation.point_positionsoptv.orientation.match_detection_to_refCannot convert %.200s to %.200sBuffer acquisition failed on assignment; and then reacquiring the old buffer failed too!value too large to convert to intan integer is required__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__int__ returned non-int (type %.200s)too many values to unpack (expected %zd)need more than %zd value%.1s to unpackoptv.orientation.single_cam_point_positionslistExpected %s, got %.200soptv.orientation.multi_cam_point_positionsOut of bounds on buffer access (axis %d)optv.orientation.external_calibrationITYPE_tcannot fit '%.200s' into an index-sized integer'%.200s' object is not subscriptableoptv.orientation.dumbbell_target_funcdd°(0pºôÐÀØÜ$	8	p
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