h3OPSSKJr SSKrSSKJrJrJr SSKrSSK r SSK r SSK r SSK r SSKrSrSrSrSrSSjrS r\R*4S jrS rSS jrS rSr\R*4SjrSrSrSrSSjrSr Sr!Sr"Sr#SSjr$SSjr%SSjr&g!\a SrNf=f) )divisionN)ImageImageOps ImageEnhancec[b*[U[R[R45$[U[R5$N)accimage isinstancerimgs W/var/www/fran/franai/plugins/Silent-Face-Anti-Spoofing-master/src/data_io/functional.py _is_pil_imagers3# X^^<==#u{{++cb[R"U5=(a UR5S:H$)N)torch is_tensor ndimensionr s r _is_tensor_imagers" ??3  9CNN$4$99rcb[U[R5=(a URS;$)N>r)r npndarrayndimr s r _is_numpy_imager!s! c2:: & ?CHH,>?rc[U5(d3[U5(d#[SR[ U555e[ U[ R5(asURS:Xa.URURSURSS45n[R"URS55nUR5$[b[ U[R 5(ak[ R""UR$UR&UR(/[ R*S9nUR-U5 [R"U5$UR.S:Xa9[R"[ R0"U[ R2SS 95nOUR.S :Xa9[R"[ R0"U[ R4SS 95nOA[R6"[R8R;UR=555nUR.S :XaS nO(UR.S :XaSnO[?UR.5nURAURBSURBSU5nURSS5RSS5RE5n[ U[R65(aUR5$U$) zConvert a ``PIL Image`` or ``numpy.ndarray`` to tensor. See ``ToTensor`` for more details. Args: pic (PIL Image or numpy.ndarray): Image to be converted to tensor. Returns: Tensor: Converted image. z*pic should be PIL Image or ndarray. Got {}rr)rrrdtypeIF)copyI;16YCbCrr)#rr TypeErrorformattyper rrrreshapeshaper from_numpy transposefloatr rzeroschannelsheightwidthfloat32copytomodearrayint32int16 ByteTensor ByteStorage from_buffertobyteslenviewsize contiguous)picr nppicnchannels r to_tensorrA%s   !5!5DKKDQTIVWW#rzz"" 88q=++syy|SYYq\1=>Cs}}Y78yy{ 3 ? ?#,, CII>bjjQ 5&& xx3rxxRXXEBC V rxxRXXEBCu00<r2npimg expected_modepermitted_4_channel_modespermitted_3_channel_modess r to_pil_imagerV[s5 3  #3C#8#8BII$s)TUU E#u(())ggcl! s SYY[)4 eRZZ ( (M U 456 6 {{1~ aAg ;;"(( "M ;;"(( ""M ;;"(( "M [[BJJ &M   5[$fT288]CE E Q1 %+V$4!   EHOOPijk k  width, then image will be rescaled to (size * height / width, size) interpolation (int, optional): Desired interpolation. Default is ``PIL.Image.BILINEAR`` Returns: PIL Image: Resized image. img should be PIL Image. Got {}rzGot inappropriate size arg: {}N) rr$r%r&r int collectionsIterabler:r<resize)r r< interpolationwhowohs r rhrhs    9@@cKLL tS ! !j{7K7K&L&LQTUYQZ^_Q_8??EFF$xx FqyafJ 5BTX\"B::rh 6 6BTX\"B::rh 6 6zz$tt*m44rcD[R"S5 [U0UD6$)Nz^The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.)warningswarnrh)argskwargss r scalerss# MM:; 4 "6 ""rc[U5(d#[SR[U555e[ U[ R [45(d [S5e[ U[ R [[45(d [S5e[ U[R5(a5[U5S;a&[SSR[U55-5e[R"XUS9$)avPad the given PIL Image on all sides with the given "pad" value. Args: img (PIL Image): Image to be padded. padding (int or tuple): Padding on each border. If a single int is provided this is used to pad all borders. If tuple of length 2 is provided this is the padding on left/right and top/bottom respectively. If a tuple of length 4 is provided this is the padding for the left, top, right and bottom borders respectively. fill: Pixel fill value. Default is 0. If a tuple of length 3, it is used to fill R, G, B channels respectively. Returns: PIL Image: Padded image. rczGot inappropriate padding argzGot inappropriate fill arg)rrFz9Padding must be an int or a 2, or 4 element tuple, not a z{} element tuple)borderfill)rr$r%r&r numbersNumbertuplestrrfSequencer:rPrexpand)r paddingrvs r padr~s   9@@cKLL g6 7 7788 dW^^S%8 9 9455';//00S\5OT+223w<@AB B ??3T ::rc[U5(d#[SR[U555eUR X!X$-X-45$)zCrop the given PIL Image. Args: img (PIL Image): Image to be cropped. i: Upper pixel coordinate. j: Left pixel coordinate. h: Height of the cropped image. w: Width of the cropped image. Returns: PIL Image: Cropped image. rc)rr$r%r&crop)r ijrkrjs r rrsD   9@@cKLL 88Q15!%( ))rc[U[R5(a[U5[U54nURup#UupE[[ X4- S- 55n[[ X%- S- 55n[ XXtU5$)Ng@)r rwrxrer<roundr)r output_sizerjrkthtwrrs r center_cropr sr+w~~..;'[)9: 88DA FB E16R- !A E16R- !A r ""rcf[U5(dS5e[XX#U5n[XU5nU$)aCrop the given PIL Image and resize it to desired size. Notably used in RandomResizedCrop. Args: img (PIL Image): Image to be cropped. i: Upper pixel coordinate. j: Left pixel coordinate. h: Height of the cropped image. w: Width of the cropped image. size (sequence or int): Desired output size. Same semantics as ``scale``. interpolation (int, optional): Desired interpolation. Default is ``PIL.Image.BILINEAR``. Returns: PIL Image: Cropped image. zimg should be PIL Image)rrrh)r rrrkrjr<ris r resized_croprs:"   888  sqQ C M *C Jrc[U5(d#[SR[U555eUR [ R 5$)zHorizontally flip the given PIL Image. Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Horizontall flipped image. rc)rr$r%r&r*rFLIP_LEFT_RIGHTr s r hflipr-?   9@@cKLL ==.. //rc[U5(d#[SR[U555eUR [ R 5$)zVertically flip the given PIL Image. Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Vertically flipped image. rc)rr$r%r&r*rFLIP_TOP_BOTTOMr s r vflipr<rrc[U[R5(a[U5[U54nO[ U5S:XdS5eUR up#UupEXR:dXC:a[ SRUX2455eURSSXT45nURX%- SX$45nURSX4- XS45nURX%- X4- X#45n [XU45n XgXU 4$)aCrop the given PIL Image into four corners and the central crop. .. Note:: This transform returns a tuple of images and there may be a mismatch in the number of inputs and targets your ``Dataset`` returns. Args: size (sequence or int): Desired output size of the crop. If size is an int instead of sequence like (h, w), a square crop (size, size) is made. Returns: tuple: tuple (tl, tr, bl, br, center) corresponding top left, top right, bottom left, bottom right and center crop. r3Please provide only two dimensions (h, w) for size.z3Requested crop size {} is bigger than input size {}r) r rwrxrer:r<rPr%rr) r r<rjrkcrop_hcrop_wtltrblbrcenters r five_croprKs$''D 3t9%4yA~TTT~ 88DANF zVZNUUVZWXV\^_ _ 1a( )B 1:q!, -B 1aj&, -B 1:qz10 1B v. /F BF ##rc [U[R5(a[U5[U54nO[ U5S:XdS5e[ X5nU(a [ U5nO [U5n[ X5nX4-$)a#Crop the given PIL Image into four corners and the central crop plus the flipped version of these (horizontal flipping is used by default). .. Note:: This transform returns a tuple of images and there may be a mismatch in the number of inputs and targets your ``Dataset`` returns. Args: size (sequence or int): Desired output size of the crop. If size is an int instead of sequence like (h, w), a square crop (size, size) is made. vertical_flip (bool): Use vertical flipping instead of horizontal Returns: tuple: tuple (tl, tr, bl, br, center, tl_flip, tr_flip, bl_flip, br_flip, center_flip) corresponding top left, top right, bottom left, bottom right and center crop and same for the flipped image. rr)r rwrxrer:rrr)r r< vertical_flip first_five second_fives r ten_croprlso($''D 3t9%4yA~TTT~3%JCjCjC&K  ##rc[U5(d#[SR[U555e[R "U5nUR U5nU$)aaAdjust brightness of an Image. Args: img (PIL Image): PIL 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: PIL Image: Brightness adjusted image. rc)rr$r%r&r Brightnessenhance)r brightness_factorenhancers r adjust_brightnessrsP   9@@cKLL&&s+H   , -C Jrc[U5(d#[SR[U555e[R "U5nUR U5nU$)a[Adjust contrast of an Image. Args: img (PIL Image): PIL 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: PIL Image: Contrast adjusted image. rc)rr$r%r&rContrastr)r contrast_factorrs r adjust_contrastrsO   9@@cKLL$$S)H   ? +C Jrc[U5(d#[SR[U555e[R "U5nUR U5nU$)a\Adjust color saturation of an image. Args: img (PIL Image): PIL Image to be adjusted. saturation_factor (float): How much to adjust the saturation. 0 will give a black and white image, 1 will give the original image while 2 will enhance the saturation by a factor of 2. Returns: PIL Image: Saturation adjusted image. rc)rr$r%r&rColorr)r saturation_factorrs r adjust_saturationrsP   9@@cKLL!!#&H   , -C JrcSUs=::aS::dO [SRU55e[U5(d#[SR[ U555eUR nUS;aU$UR S5R5up4n[R"U[RS9n[R"SS 9 U[R"US -5- nS S S 5 [R"US 5n[R"SX4U45R U5nU$!,(df  NO=f) a0Adjust 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]`. See https://en.wikipedia.org/wiki/Hue for more details on Hue. Args: img (PIL Image): PIL 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: PIL Image: Hue adjusted image. gg?z!hue_factor is not in [-0.5, 0.5].rc>1rEr rDrJrignore)overrCNrD)rPr%rr$r&r2convertsplitrr3rOerrstaterrQmerge)r hue_factor input_moderkr`vnp_hs r adjust_huers. : $ $<CCJOPP   9@@cKLLJ)) kk% &&(GA! 88ARXX &D ( # c)** $ c"A ++eaAY ' / / ;C J $ #s D00 D>c[U5(d#[SR[U555eUS:a [ S5eUR nUR S5n[R"U[RS9nSU-US- U--n[R"[R"USS55n[R"US5R U5nU$)a Perform gamma correction on an image. Also known as Power Law Transform. Intensities in RGB mode are adjusted based on the following equation: I_out = 255 * gain * ((I_in / 255) ** gamma) See https://en.wikipedia.org/wiki/Gamma_correction for more details. Args: img (PIL Image): PIL Image to be adjusted. gamma (float): Non negative real number. gamma larger than 1 make the shadows darker, while gamma smaller than 1 make dark regions lighter. gain (float): The constant multiplier. rcrz*Gamma should be a non-negative real numberrIrrC)rr$r%r&rPr2rrr3r0rOcliprrQ)r gammagainrnp_imgs r adjust_gammars"   9@@cKLL qyEFFJ ++e C XXc ,F 4ZFSLU2 3F XXbggfa- .F //&% ( 0 0 rs -- ,:@3l<-~*%*NN"5J# ;>*&#7