ёiZSSKrSSKrSSKJrJr SSKrSSKrSSKJ r /r SSjr SSjr SSjr SrSrS rS rS rS rS rSrSSjrSSjrSSjrSSjrSSjrSSjrg)N)IterableSequence) try_importcUS;a[SU35eURS:Xa USS2SS2S4nUS:Xa&[R"UR S55nO[R"U5n[R R RUR5S:Xa([R"U[R5S- $U$) a*Converts a ``numpy.ndarray`` to paddle.Tensor. See ``ToTensor`` for more details. Args: pic (np.ndarray): Image to be converted to tensor. data_format (str, optional): Data format of output tensor, should be 'HWC' or 'CHW'. Default: 'CHW'. Returns: Tensor: Converted image. )CHWHWCz&data_format should be CHW or HWC. Got Nr)r ruint8go@) ValueErrorndimpaddle to_tensor transposebase data_feeder convert_dtypedtypecastnpfloat32)pic data_formatimgs g/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/vision/transforms/functional_cv2.pyrrs.(A+OPP xx1}!Q*oes}}Y78s# {{,,SYY77B{{3 +e33 c[S5nURURURURUR S.n[ U[5(d2[ U[5(a[U5S:Xd[SU35eURSSupV[ U[5(aiXe::aXa:Xd XV::aXQ:XaU$Xe:a'Un[X-U- 5nURUXx4XBS9n OBUn[X-U- 5nURUXx4XBS9n OURUUSUS4XBS9n [UR5S :Xa-URSS:XaU SS2SS2[R4$U $) a  Resizes the image to given size Args: input (np.ndarray): Image to be resized. size (int|list|tuple): Target size of input data, with (height, width) shape. interpolation (int|str, optional): Interpolation method. when use cv2 backend, support method are as following: - "nearest": cv2.INTER_NEAREST, - "bilinear": cv2.INTER_LINEAR, - "area": cv2.INTER_AREA, - "bicubic": cv2.INTER_CUBIC, - "lanczos": cv2.INTER_LANCZOS4 Returns: np.array: Resized image. cv2nearestbilinearareabicubiclanczosr zGot inappropriate size arg: N)dsize interpolationr r)r INTER_NEAREST INTER_LINEAR INTER_AREA INTER_CUBICINTER_LANCZOS4 isinstanceintrlen TypeErrorshaperesizernewaxis) rsizer&r_cv2_interp_from_strhwowohoutputs rr2r2;s& U C$$$$??%%  4*T8"<"<Ta6tf=>> 99Ra=DA$ FqyafJ 5BTX\"BZZh2A F BTX\"BZZh2A F  7DG$.=   399~syy|q0aBJJ&'' rc V[S5nURURURURS.n[ U[ R[[45(d [S5e[ U[ R[[[45(d [S5e[ U[5(d [S5e[ U[5(a)[U5S;a[S[U5S3-5eUS;dS 5e[ U[5(a [U5n[ U[5(aU=n=n=p[ U[5(a[U5S :Xa US =pgUS =p[ U[5(a#[U5S :XaUS nUS nUS nUSn [UR 5S:XaBUR S S :Xa/UR#UWW WWXSUS9SS2SS2[$R&4$UR#UWW WWXSUS9$)a Pads the given numpy.array on all sides with specified padding mode and fill value. Args: img (np.array): Image to be padded. padding (int|list|tuple): Padding on each border. If a single int is provided this is used to pad all borders. If list/tuple of length 2 is provided this is the padding on left/right and top/bottom respectively. If a list/tuple of length 4 is provided this is the padding for the left, top, right and bottom borders respectively. fill (float, optional): Pixel fill value for constant fill. If a tuple of length 3, it is used to fill R, G, B channels respectively. This value is only used when the padding_mode is constant. Default: 0. padding_mode: Type of padding. Should be: constant, edge, reflect or symmetric. Default: 'constant'. - constant: pads with a constant value, this value is specified with fill - edge: pads with the last value on the edge of the image - reflect: pads with reflection of image (without repeating the last value on the edge) padding [1, 2, 3, 4] with 2 elements on both sides in reflect mode will result in [3, 2, 1, 2, 3, 4, 3, 2] - symmetric: pads with reflection of image (repeating the last value on the edge) padding [1, 2, 3, 4] with 2 elements on both sides in symmetric mode will result in [2, 1, 1, 2, 3, 4, 4, 3] Returns: np.array: Padded image. r)constantedgereflect symmetriczGot inappropriate padding argzGot inappropriate fill argz"Got inappropriate padding_mode arg)r z9Padding must be an int or a 2, or 4 element tuple, not a z element tuplezBPadding mode should be either constant, edge, reflect or symmetricr rr r@r')topbottomleftright borderTypevalueN)rBORDER_CONSTANTBORDER_REPLICATEBORDER_REFLECT_101BORDER_REFLECTr-numbersNumberlisttupler0strrr/r r.r1copyMakeBorderrr3) rpaddingfill padding_moder_cv2_pad_from_strpad_left pad_rightpad_top pad_bottoms rpadrY}s:D U C''$$))''  ge< = =788 dW^^S$> ? ?455 lC ( (<=='8$$WV)C GWn- .   L L L '4  .'36===9=w'8$$W):&qz)&qz)'8$$W):1:!*AJ QZ  399~syy|q0!! (6"  Q  !! (6"  rc$XX-2X"U-2SS24$)aCrops the given image. Args: img (np.array): Image to be cropped. (0,0) denotes the top left corner of the image. top (int): Vertical component of the top left corner of the crop box. left (int): Horizontal component of the top left corner of the crop box. height (int): Height of the crop box. width (int): Width of the crop box. Returns: np.array: Cropped image. N)rrArCheightwidths rcropr^s" S\!4,#69 ::rc[U[R5(a[U5[U54nURSSup#UupE[[ X$- S- 55n[[ X5- S- 55n[ XXtU5$)aCrops the given image and resize it to desired size. Args: img (np.array): Image to be cropped. (0,0) denotes the top left corner of the image. output_size (sequence or int): (height, width) of the crop box. If int, it is used for both directions backend (str, optional): The image process backend type. Options are `pil`, `cv2`. Default: 'pil'. Returns: np.array: Cropped image. rr @)r-rKrLr.r1roundr^)r output_sizer6r7thtwijs r center_croprgsz+w~~..;'[)9: 99Qq>DA FB E16S. !"A E16S. !"A r ""rc<[S5nURUS5$)zHorizontally flips the given image. Args: img (np.array): Image to be flipped. Returns: np.array: Horizontally flipped image. rr )rfliprrs rhfliprk s U C 88C rc[S5n[UR5S:Xa=URSS:Xa*URUS5SS2SS2[R 4$URUS5$)zVertically flips the given np.array. Args: img (np.array): Image to be flipped. Returns: np.array: Vertically flipped image. rr'r r rN)rr/r1rirr3rjs rvfliprms_ U C 399~syy|q0xxQ1bjj 011xxQrc[S5n[R"[SS5Vs/sHo3U-PM sn5R SS5R S5n[ UR5S:Xa<URSS:Xa)URX5S S 2S S 2[R4$URX5$s snf) a]Adjusts brightness of an image. Args: img (np.array): Image to be adjusted. brightness_factor (float): How much to adjust the brightness. Can be any non negative number. 0 gives a black image, 1 gives the original image while 2 increases the brightness by a factor of 2. Returns: np.array: Brightness adjusted image. rrr r'r r N rrarrayrangeclipastyper/r1LUTr3)rbrightness_factorrretables radjust_brightnessry*s U C q#?A''?@ a   399~syy|q0wws"1a#344wws""@sCc[S5n[R"[SS5Vs/sH o3S- U-S-PM sn5R SS5R S5n[ UR5S:Xa<URSS :Xa)URX5S S 2S S 2[R4$URX5$s snf) aWAdjusts contrast of an image. Args: img (np.array): Image to be adjusted. contrast_factor (float): How much to adjust the contrast. Can be any non negative number. 0 gives a solid gray image, 1 gives the original image while 2 increases the contrast by a factor of 2. Returns: np.array: Contrast adjusted image. rrroJrpr r'r r Nrq)rcontrast_factorrrerxs radjust_contrastr}Es U C 5C=I=ar6_,r1=IJ a   399~syy|q0wws"1a#344wws""JsC c[S5nURnUR[R5n[R R [SSU- 5SU-5nURXR5nUS[R4nX-USU- --nURSS5RU5$)aXAdjusts color saturation of an image. Args: img (np.array): Image to be adjusted. saturation_factor (float): How much to adjust the saturation. 0 will give a black and white image, 1 will give the original image while 2 will enhance the saturation by a factor of 2. Returns: np.array: Saturation adjusted image. rrr .rp) rrrurrrandomuniformmaxcvtColorCOLOR_BGR2GRAYr3rt)rsaturation_factorrralphagray_imgs radjust_saturationr_s U C IIE **RZZ C II   Aq$$%q+<'< E||C!3!34HRZZ(H +AI. .C 88As  " "5 ))rc*[S5nSUs=::aS::dO [SUS35eURnUR[R 5nUR XR5nURU5upVnUnUR[R5nU[US-5-S-nUR[R 5nURXVU/5nUR XBR5RU5$)aAdjusts hue of an image. The image hue is adjusted by converting the image to HSV and cyclically shifting the intensities in the hue channel (H). The image is then converted back to original image mode. `hue_factor` is the amount of shift in H channel and must be in the interval `[-0.5, 0.5]`. Args: img (np.array): Image to be adjusted. hue_factor (float): How much to shift the hue channel. Should be in [-0.5, 0.5]. 0.5 and -0.5 give complete reversal of hue channel in HSV space in positive and negative direction respectively. 0 means no shift. Therefore, both -0.5 and 0.5 will give an image with complementary colors while 0 gives the original image. Returns: np.array: Hue adjusted image. rg?z hue_factor:z is not in [-0.5, 0.5].rpro) rr rrurr rCOLOR_BGR2HSV_FULLsplitint32r.mergeCOLOR_HSV2BGR_FULL) r hue_factorrrhsv_imgr6svrs r adjust_huerys, U C J %# %;zl2IJKK IIE **RXX Cll3 6 67Gii GA! E A S  $A Aiiq "G <<!7!7 8 ? ? FFrcR[S5nURURURURUR S.n UR SSup[U[5(a[U/S-5nUc U S- U S- 4n[R"SS/5n URXUS9n [R"US[R-S - 5n[R"US [R-S - 5nU SXS --U S'U S XS--U S 'UunnUU S 'UU S '[!UR 5S:XaAUR SS :Xa.UR#UU X4XUS 9SS2SS2[R$4$UR#UU X4XUS 9$)a]Affine the image by matrix. Args: img (PIL.Image): Image to be affined. translate (sequence or int): horizontal and vertical translations scale (float): overall scale ratio shear (sequence or float): shear angle value in degrees between -180 to 180, clockwise direction. If a sequence is specified, the first value corresponds to a shear parallel to the x axis, while the second value corresponds to a shear parallel to the y axis. interpolation (int|str, optional): Interpolation method. If omitted, or if the image has only one channel, it is set to cv2.INTER_NEAREST. when use cv2 backend, support method are as following: - "nearest": cv2.INTER_NEAREST, - "bilinear": cv2.INTER_LINEAR, - "bicubic": cv2.INTER_CUBIC fill (3-tuple or int): RGB pixel fill value for area outside the affined image. If int, it is used for all channels respectively. center (sequence, optional): Optional center of rotation. Origin is the upper left corner. Default is the center of the image. Returns: np.array: Affined image. rrrr r'Nr`)anglecenterscaler rr r r r%flags borderValue)rr(r)r*r+r,r1r-r.rNronesgetRotationMatrix2Dmathtanpir/ warpAffiner3)rr translatershearr&rRrrr5r6r7MRsxsytxtys raffinersD U C$$$$??%%  99Qq>DA$dVaZ  ~c'1s7# AA e%HA %(TWW$s* +B %(TWW$s* +B Q4"t) AaD Q4"t) AaDFBAdGAdG 399~syy|q0~~  &&5  Q   ~~  &&5   rc [S5nURURURURUR S.nUR SSupUc U S- US- 4nURXAS5n U(GaSn /n /n [R"U5*n[[R"U5S 5[[R"U5S 5S [[R"U5*S 5[[R"U5S 5S /nS nU "US*US- US*US- U5uUS'US 'US==US- ss'US ==US- ss'S U S4X4SU44H5unnU "UUU5unnU RU5 U RU5 M7 [R"[U 55[R "[#U 55- n[R"[U 55[R "[#U 55- nU S ==UU - S-- ss'U S==UU- S-- ss'[%U5[%U5p['UR 5S:XaAUR SS:Xa.UR)UU X4XrUS9SS2SS2[*R,4$UR)UU X4XrUS9$)amRotates the image by angle. Args: img (np.array): Image to be rotated. angle (float or int): In degrees degrees counter clockwise order. interpolation (int|str, optional): Interpolation method. If omitted, or if the image has only one channel, it is set to cv2.INTER_NEAREST. when use cv2 backend, support method are as following: - "nearest": cv2.INTER_NEAREST, - "bilinear": cv2.INTER_LINEAR, - "bicubic": cv2.INTER_CUBIC expand (bool, optional): Optional expansion flag. If true, expands the output image to make it large enough to hold the entire rotated image. If false or omitted, make the output image the same size as the input image. Note that the expand flag assumes rotation around the center and no translation. center (2-tuple, optional): Optional center of rotation. Origin is the upper left corner. Default is the center of the image. fill (3-tuple or int): RGB pixel fill value for area outside the rotated image. If int, it is used for all channels respectively. Returns: np.array: Rotated image. rrrr Nr`r c>Uup4pVpxX0-XA--U-X`-Xq--U-4$)Nr[) xymatrixabcdefs r transformrotate..transform!s3!' Q1515=1$aeaema&77 7rg)rrrrrr')rr)rr(r)r*r+r,r1rrradiansracossinappendceilrfloorminr.r/rrr3)rrr&expandrrRrr5r6r7rrxxyy expand_matrix post_transrrnwnhs rrotaters8 U C$$$$??%%  99Qq>DA ~c'1s7# q1A  8  e$$ $((5/2 & $((5/2 &  488E?"B ' $((5/2 &    -6 AYJA & AYJA & . * a-* aF1I%aF1I%aVaVaV4DAqQ=1DAq IIaL IIaL5YYs2w $**SW"5 5 YYs2w $**SW"5 5 $BFc>! $BFc>!2wB1 399~syy|q0~~  F&5  Q   ~~  F&5   rc[S5nURURURURUR S.nUR SSupx[R"USS9n[R"USS9nURX5n [UR 5S:XaAUR SS:Xa.URUU X4XcUS 9S S 2S S 2[R4$URUU X4XcUS 9$) a)Perspective the image. Args: img (np.array): Image to be perspectived. startpoints (list[list[int]]): [top-left, top-right, bottom-right, bottom-left] of the original image, endpoints (list[list[int]]): [top-left, top-right, bottom-right, bottom-left] of the transformed image. interpolation (int|str, optional): Interpolation method. If omitted, or if the image has only one channel, it is set to cv2.INTER_NEAREST. when use cv2 backend, support method are as following: - "nearest": cv2.INTER_NEAREST, - "bilinear": cv2.INTER_LINEAR, - "bicubic": cv2.INTER_CUBIC fill (3-tuple or int): RGB pixel fill value for area outside the rotated image. If int, it is used for all channels respectively. Returns: np.array: Perspectived image. rrrr r)rr'r rN) rr(r)r*r+r,r1rrrgetPerspectiveTransformr/warpPerspectiver3) r startpoints endpointsr&rRrr5r6r7rs r perspectiverZs( U C$$$$??%%  99Qq>DA((;i8K)4I  ( ( @F 399~syy|q0""  &&5 # Q   ""  &&5 #  rcX[S5nUS:Xa5URXR5SS2SS2[R4nU$US:XaT[R "URXR5SS2SS2[R4UR 5nU$[S5e)a=Converts image to grayscale version of image. Args: img (np.array): Image to be converted to grayscale. Returns: np.array: Grayscale version of the image. if num_output_channels = 1 : returned image is single channel if num_output_channels = 3 : returned image is 3 channel with r = g = b rr Nr'z+num_output_channels should be either 1 or 3)rrCOLOR_RGB2GRAYrr3 broadcast_tor1r )rnum_output_channelsrs r to_grayscalers U Call3 2 23Aq"**4DE J  !oo LL00 1!Q 2B CSYY  JFGGrcUS:Xaw[R"[R"U5RSSS55n[R"[R"U5RSSS55nOv[R"[R"U5RSSS55n[R"[R"U5RSSS55nU(a USSSS24nX- U- nU$)aNormalizes a ndarray image or image with mean and standard deviation. Args: img (np.array): input data to be normalized. mean (list|tuple): Sequence of means for each channel. std (list|tuple): Sequence of standard deviations for each channel. data_format (str, optional): Data format of img, should be 'HWC' or 'CHW'. Default: 'CHW'. to_rgb (bool, optional): Whether to convert to rgb. Default: False. Returns: np.array: Normalized mage. rr .N)rrrrreshape)rmeanstdrto_rgbs r normalizers ezz"((4.00Q:;jj#..r1a89zz"((4.00Ar:;jj#..q!R89 #tt)n : C JrcRU(dUR5nXPXU-2X"U-2S4'U$)a.Erase the pixels of selected area in input image array with given value. Args: img (np.array): input image array, which shape is (H, W, C). i (int): y coordinate of the top-left point of erased region. j (int): x coordinate of the top-left point of erased region. h (int): Height of the erased region. w (int): Width of the erased region. v (np.array): value used to replace the pixels in erased region. inplace (bool, optional): Whether this transform is inplace. Default: False. Returns: np.array: Erased image. .)copy)rrerfr6r7rinplaces rerasers2 hhj%&E 11u9c!" Jr)r)r!)rr<)r rN)r FNr)r r)r )rF)F)rrKcollections.abcrrnumpyrr paddle.utilsr__all__rr2rYr^rgrkrmryr}rrrrrrrrr[rrrs . # @?D^ B;&#0  $#6#4*4%G\ Q jJKb J1 h8<r