|h7 vddlZddlmZddlmZddlmZmZm Z gdZ dZ dZ d d d Z dd d ZdZdddZy)N)entropy) dtype_range)_supported_float_typecheck_shape_equalitywarn)mean_squared_errornormalized_root_msepeak_signal_noise_rationormalized_mutual_informationct|j|jf}tj||}tj||}||fS)zK Promote im1, im2 to nearest appropriate floating point precision. dtype)rrnpasarray)image0image1 float_types ]/var/www/html/test/engine/venv/lib/python3.12/site-packages/skimage/metrics/simple_metrics.py _as_floatsrsE' fll'CDJ ZZj 1F ZZj 1F 6>ct||t||\}}tj||z dztjS)a Compute the mean-squared error between two images. Parameters ---------- image0, image1 : ndarray Images. Any dimensionality, must have same shape. Returns ------- mse : float The mean-squared error (MSE) metric. Notes ----- .. versionchanged:: 0.16 This function was renamed from ``skimage.measure.compare_mse`` to ``skimage.metrics.mean_squared_error``. rr)rrrmeanfloat64)rrs rr r s<*(/NFF 77FVO) <>#33 & !011 77%j*= > FFr) data_rangect||||j|jk7r tdt|jj\}}t j |t j|}}||kDs||kr td|dk\r|}n||z }t||\}}t||}t|}dt j|dz|z zS)a Compute the peak signal to noise ratio (PSNR) for an image. Parameters ---------- image_true : ndarray Ground-truth image, same shape as im_test. image_test : ndarray Test image. data_range : int, optional The data range of the input image (distance between minimum and maximum possible values). By default, this is estimated from the image data-type. Returns ------- psnr : float The PSNR metric. Notes ----- .. versionchanged:: 0.16 This function was renamed from ``skimage.measure.compare_psnr`` to ``skimage.metrics.peak_signal_noise_ratio``. References ---------- .. [1] https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio zFInputs have mismatched dtype. Setting data_range based on image_true.zuimage_true has intensity values outside the range expected for its data type. Please manually specify the data_range.r r) rrrrtyperr!r r"rr floatlog10)r#r$r&dmindmaxtrue_mintrue_maxerrs rr r ps>Z0   z// /  !!1!1!6!67 dVVJ/ 1C( d?hoM  q=JJ' J?J Z 4Cz"J *a-3./ //rctdt||jDstd|d|jdt||jDcgc] \}}d||z f}}}t j ||ddScc}}w)abPad an array with trailing zeros to a given target shape. Parameters ---------- arr : ndarray The input array. shape : tuple The target shape. Returns ------- padded : ndarray The padded array. Examples -------- >>> _pad_to(np.ones((1, 1), dtype=int), (1, 3)) array([[1, 0, 0]]) c3,K|] \}}||k\yw)N).0sis r z_pad_to..s8$!QqAv8sz Target shape z# cannot be smaller than inputshape z along any axis.rconstant) pad_widthmodeconstant_values)allzipshaper"rpad)arrr>r5r6paddings r_pad_torBs( 8#eSYY"78 8E7#YYK/ 1  '*%&;rmaximumrB histogramddreshapersum) rrrD max_shapepadded0padded1hist bin_edgesH0H1H01s rr r s^{{fkk!;;-2{{m? ,  ||v||#JJv||V\\: &),&),!6nn GR "**Wb"9: OD) 1% &B 1% &B "**T2& 'C Gs?r)numpyr scipy.statsr util.dtyper _shared.utilsrrr__all__rr r r rBr r3rrr\sQ$MM =4BM:GzCG80vN:;>Fr