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Fix support for numpy 2.3+ #28

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Merged
ppwwyyxx merged 1 commit into from
May 29, 2025
Merged

Fix support for numpy 2.3+ #28

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8 changes: 4 additions & 4 deletions PythonAPI/pycocotools/_mask.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,7 @@ cdef class Masks:
# Create a 1D array, and reshape it to fortran/Matlab column-major array
ndarray = np.PyArray_SimpleNewFromData(1, shape, np.NPY_UINT8, self._mask).reshape((self._h, self._w, self._n), order='F')
# The _mask allocated by Masks is now handled by ndarray
PyArray_ENABLEFLAGS(ndarray, np.NPY_OWNDATA)
PyArray_ENABLEFLAGS(ndarray, np.NPY_ARRAY_OWNDATA)
return ndarray

# internal conversion from Python RLEs object to compressed RLE format
Expand Down Expand Up @@ -164,7 +164,7 @@ def area(rleObjs):
shape[0] = <np.npy_intp> Rs._n
a = np.array((Rs._n, ), dtype=np.uint8)
a = np.PyArray_SimpleNewFromData(1, shape, np.NPY_UINT32, _a)
PyArray_ENABLEFLAGS(a, np.NPY_OWNDATA)
PyArray_ENABLEFLAGS(a, np.NPY_ARRAY_OWNDATA)
return a

# iou computation. support function overload (RLEs-RLEs and bbox-bbox).
Expand Down Expand Up @@ -236,7 +236,7 @@ def iou( dt, gt, pyiscrowd ):
iou = np.zeros((m*n, ), dtype=np.double)
shape[0] = <np.npy_intp> m*n
iou = np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, _iou)
PyArray_ENABLEFLAGS(iou, np.NPY_OWNDATA)
PyArray_ENABLEFLAGS(iou, np.NPY_ARRAY_OWNDATA)
_iouFun(dt, gt, iscrowd, m, n, iou)
return iou.reshape((m,n), order='F')

Expand All @@ -249,7 +249,7 @@ def toBbox( rleObjs ):
shape[0] = <np.npy_intp> 4*n
bb = np.array((1,4*n), dtype=np.double)
bb = np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, _bb).reshape((n, 4))
PyArray_ENABLEFLAGS(bb, np.NPY_OWNDATA)
PyArray_ENABLEFLAGS(bb, np.NPY_ARRAY_OWNDATA)
return bb

def frBbox(np.ndarray[np.double_t, ndim=2] bb, siz h, siz w ):
Expand Down