0-Ph7 xddlZddlmZddlmZddlmZmZm Z gdZ dZ dZ d d d Z dd d ZdZdddZdS)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/jupyter/venv/lib/python3.11/site-packages/skimage/metrics/simple_metrics.py _as_floatsrsL' fl'CDDJ Zj 1 1 1F Zj 1 1 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 sG*(((//NFF 7FVO) < < <>#3#33 & !!0111 7%j*== > > FFr) data_rangect||||j|jkrtdt|jj\}}t j|t j|}}||ks||krtd|dkr|}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 NzFInputs 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$r&dmindmaxtrue_mintrue_maxerrs rr r ps>Z000  z/ / /    !!1!67 dVJ// 1C1C( d??hooM  q==JJJ' J??J Z 4 4Cz""J *a-3.// //rctdt||jDstd|d|jddt||jD}t j||ddS) abPad an array with trailing zeros to a given target shape. Parameters ---------- arr : ndarray The input array. shape : tuple The target shape. Returns ------- padded : ndarray The padded array. Examples -------- >>> _pad_to(np.ones((1, 1), dtype=int), (1, 3)) array([[1, 0, 0]]) c3(K|] \}}||kVdS)N.0sis r z_pad_to..s*88$!QqAv888888rz Target shape z# cannot be smaller than inputshape z along any axis.c"g|] \}}d||z f S)rr3r4s r z_pad_to..s$<<^{fk!! ,; , ,{ , , ,   |v|##Jv|V\:: &),,&),,!6n GR "*Wb"9"9: OD) 1%%% & &B 1%%% & &B "*T2&& ' 'C Gs?r)numpyr scipy.statsr util.dtyper _shared.utilsrrr__all__rr r r rEr r3rrr_s $$$$$$MMMMMMMMMM   ===4BM:G:G:G:G:GzCG8080808080vNNN:;>FFFFFFFr