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i do not understand why we are using
corners = numpy.matrix([[-w, +w, -w, +w],
[-h, -h, +h, +h]]) * 0.5
skewed_size = numpy.array(numpy.max(M * corners, axis=1) -
numpy.min(M * corners, axis=1))
if you could help me please
The text was updated successfully, but these errors were encountered:
i do not understand why we are using
corners = numpy.matrix([[-w, +w, -w, +w],
[-h, -h, +h, +h]]) * 0.5
skewed_size = numpy.array(numpy.max(M * corners, axis=1) -
numpy.min(M * corners, axis=1))
if you could help me please
The text was updated successfully, but these errors were encountered: