コード例 #1
0
    def __init__(self, min_size=(100, 100), max_size=None):
        storage = lib.cvCreateMemStorage(0)
        assert storage is not None
        self._storage = storage

        if min_size is None:
            min_width = min_height = 0
        else:
            min_width, min_height = min_size
        if max_size is None:
            max_width = max_height = 0
        else:
            max_width, max_height = max_size

        self._min_size = lib.cvSize(min_width, min_height)
        self._max_size = lib.cvSize(max_width, max_height)
コード例 #2
0
    def __init__(self, min_size=(100, 100), max_size=None):
        storage = lib.cvCreateMemStorage(0)
        assert storage is not None
        self._storage = storage

        if min_size is None:
            min_width = min_height = 0
        else:
            min_width, min_height = min_size
        if max_size is None:
            max_width = max_height = 0
        else:
            max_width, max_height = max_size

        self._min_size = lib.cvSize(min_width, min_height)
        self._max_size = lib.cvSize(max_width, max_height)
コード例 #3
0
 def from_path(cls, path, **kwargs):
     cascade = lib.cvLoadHaarClassifierCascade(
         path.path,
         lib.cvSize(1, 1),
     )
     if cascade == ffi.NULL:
         raise _CannotLoadClassifierCascade(path, cascade)
     return cls(cascade=cascade, **kwargs)
コード例 #4
0
 def from_path(cls, path, **kwargs):
     cascade = lib.cvLoadHaarClassifierCascade(
         path.path,
         lib.cvSize(1, 1),
     )
     if cascade == ffi.NULL:
         raise _CannotLoadClassifierCascade(path, cascade)
     return cls(cascade=cascade, **kwargs)