1-Ph ddlZdddZdZdS)N)dtypec|9|jjjdkr$tj|jtj}|}t |jD]}|||}|S)aIntegral image / summed area table. The integral image contains the sum of all elements above and to the left of it, i.e.: .. math:: S[m, n] = \sum_{i \leq m} \sum_{j \leq n} X[i, j] Parameters ---------- image : ndarray Input image. Returns ------- S : ndarray Integral image/summed area table of same shape as input image. Notes ----- For better accuracy and to avoid potential overflow, the data type of the output may differ from the input's when the default dtype of None is used. For inputs with integer dtype, the behavior matches that for :func:`numpy.cumsum`. Floating point inputs will be promoted to at least double precision. The user can set `dtype` to override this behavior. References ---------- .. [1] F.C. Crow, "Summed-area tables for texture mapping," ACM SIGGRAPH Computer Graphics, vol. 18, 1984, pp. 207-212. Nf)axisr) realrkindnp promote_typesfloat64rangendimcumsum)imagerSis Z/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/transform/integral.pyintegral_imagerslD }).#55 bj99 A 5:  ** HH!5H ) ) Hc tjtjtjtj|}jd}j}tj||dg}dk}|dk}|z|z|zz||z|z||zz}tj|z dkrt dtj|}djz}tt|dz dd} t|D]} t| dd | } d| D dt z fdt|D |tj zdz zz| fd t|Dz }|S) a Use an integral image to integrate over a given window. Parameters ---------- ii : ndarray Integral image. start : List of tuples, each tuple of length equal to dimension of `ii` Coordinates of top left corner of window(s). Each tuple in the list contains the starting row, col, ... index i.e `[(row_win1, col_win1, ...), (row_win2, col_win2,...), ...]`. end : List of tuples, each tuple of length equal to dimension of `ii` Coordinates of bottom right corner of window(s). Each tuple in the list containing the end row, col, ... index i.e `[(row_win1, col_win1, ...), (row_win2, col_win2, ...), ...]`. Returns ------- S : scalar or ndarray Integral (sum) over the given window(s). See Also -------- integral_image : Create an integral image / summed area table. Examples -------- >>> arr = np.ones((5, 6), dtype=float) >>> ii = integral_image(arr) >>> integrate(ii, (1, 0), (1, 2)) # sum from (1, 0) to (1, 2) array([3.]) >>> integrate(ii, [(3, 3)], [(4, 5)]) # sum from (3, 3) to (4, 5) array([6.]) >>> # sum from (1, 0) to (1, 2) and from (3, 3) to (4, 5) >>> integrate(ii, [(1, 0), (3, 3)], [(1, 2), (4, 5)]) array([3., 6.]) rz1end coordinates must be greater or equal to startNcg|]}|dk S)1).0bits r zintegrate..s222CSCZ222rcXg|]&}tj|dz zdk'S)rr)r any)rr bool_maskstarts rrzintegrate..sB   9:BFU1X\Y.!3 4 4   rc zg|]7}|s+tt|znd8S)r)floattuple)rr!bad corner_pointsiisigns rrzintegrate..sW   ?B!f LD5E-"233455 5 51   r)r atleast_2darrayshapetiler IndexErrorzerosr lenbinr zfillsuminvert)r)r#endrows total_shapestart_negatives end_negativesrbit_permwidthrbinaryr'r"r(r*s`` @@@@r integrater>0sJ M"(5// * *E - & &C ;q>D(K'+ay11KaiO!GM [ O 3e>P6P PE   - 6F0F FC vsU{a  NLMMM A"'zH HqL!!!""% & &E8__  Q!!%((226222 s9~~%     >CDkk    ) 4 45 QY) #         4[[     Hr)numpyr rr>rrrr@sN$() ) ) ) ) Xa a a a a r