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numpyImportErrortsubrange_ynptarget_recognition?__main__
    Detects targets (contiguous bright blobs) in an image.
    
    Limited to ~20,000 targets per image for now. This limitation comes from
    the structure of underlying C code.
    
    Arguments:
    np.ndarray img - a numpy array holding the 8-bit gray image.
    TargetParams tpar - target recognition parameters s.a. size bounds etc.
    int cam - number of camera that took the picture, needed for getting
        correct parameters for this image.
    ControlParams cparam - an object holding general control parameters.
    subrange_x - optional, tuple of min and max pixel coordinates to search
        between. Default is to search entire image width.
    subrange_y - optional, tuple of min and max pixel coordinates to search
        between. Default is to search entire image height.
    
    Returns:
    A TargetArray object holding the targets found.
    cam˜·€
_initializingValueError_is_coroutine__spec____import__ymin
Bindings for image segmentation / target recognition routins in liboptv.

Created on Thu Aug 18 16:22:48 2016

@author: yosef
targs__name__xmincparamMemoryError__pyx_vtable____test__dimensions are not correctnum_targsDTYPEFailed to reallocate target array.optv\segmentation.pyxsubrange_xuint8xmaxymaxasyncio.coroutinesnumpy.core.multiarray failed to importnumpy.core.umath failed to importdtypeAssertionErrortparà?	"#/7ág
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