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https://github.com/opencv/opencv.git
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code cleanup
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@@ -21,14 +21,10 @@ int cvDepthToNumpyType(int depth)
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case CV_32F: return NPY_FLOAT;
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case CV_64F: return NPY_DOUBLE;
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case CV_16F: return NPY_HALF;
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// NumPy has no bfloat16 dtype, so CV_16BF is exported as float32 (a lossless
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// widening). pyopencv_from() performs the value conversion; without it the
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// 2-byte payload would be reinterpreted as 4-byte elements.
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// NumPy has no bfloat16 dtype; pyopencv_from() converts the values to float32.
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case CV_16BF: return NPY_FLOAT;
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case CV_Bool: return NPY_BOOL;
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default:
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// Deliberately an error rather than a fallback: silently mapping an
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// unknown depth to some default dtype mislabels the payload.
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CV_Error(cv::Error::StsNotImplemented,
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cv::format("Mat depth %d has no corresponding NumPy dtype", depth));
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}
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@@ -36,7 +32,7 @@ int cvDepthToNumpyType(int depth)
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int numpyTypeToCvDepth(int typenum)
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{
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// Only canonical NPY_* values may appear as case labels: the fixed-width
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// Only canonical NPY_* values may be used as case labels: the fixed-width
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// aliases (NPY_INT32, NPY_INT64, ...) expand to these and would collide.
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switch (typenum)
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{
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@@ -48,8 +44,7 @@ int numpyTypeToCvDepth(int typenum)
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case NPY_INT: return CV_32S;
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case NPY_ULONGLONG: return CV_64U;
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case NPY_LONGLONG: return CV_64S;
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// 'long' is 64-bit on LP64 (Linux/macOS) but 32-bit on LLP64 (Windows),
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// so this must be decided by size rather than by name.
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// 'long' is 64-bit on LP64 but 32-bit on LLP64, so decide by size, not by name.
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case NPY_ULONG: return NPY_SIZEOF_LONG == 8 ? CV_64U : CV_32U;
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case NPY_LONG: return NPY_SIZEOF_LONG == 8 ? CV_64S : CV_32S;
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case NPY_HALF: return CV_16F;
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