获取仿射变换后的图片
affine_matrix_image = cv2.warpAffine(image, affine_matrix, (image_w, image_h))
def warpAffine(src, M, dsize, dst=None, flags=None, borderMode=None, borderValue=None): # real signature unknown; restored from __doc__
"""
warpAffine(src, M, dsize[, dst[, flags[, borderMode[, borderValue]]]]) -> dst
. @brief Applies an affine transformation to an image.
.
. The function warpAffine transforms the source image using the specified matrix:
.
. \f[\texttt{dst} (x,y) = \texttt{src} ( \texttt{M} _{11} x + \texttt{M} _{12} y + \texttt{M} _{13}, \texttt{M} _{21} x + \texttt{M} _{22} y + \texttt{M} _{23})\f]
.
. when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted
. with #invertAffineTransform and then put in the formula above instead of M. The function cannot
. operate in-place.
.
. @param src input image.
. @param dst output image that has the size dsize and the same type as src .
. @param M \f$2\times 3\f$ transformation matrix.
. @param dsize size of the output image.
. @param flags combination of interpolation methods (see #InterpolationFlags) and the optional
. flag #WARP_INVERSE_MAP that means that M is the inverse transformation (
. \f$\texttt{dst}\rightarrow\texttt{src}\f$ ).
. @param borderMode pixel extrapolation method (see #BorderTypes); when
. borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image corresponding to
. the "outliers" in the source image are not modified by the function.
. @param borderValue value used in case of a constant border; by default, it is 0.
.
. @sa warpPerspective, resize, remap, getRectSubPix, transform
"""
pass