QЦiiFSSKrSSKrSSKrSSKrSSKrSSKJr SSKJrJ r J r J r J r J r SSKrSSKrSSKJr SSKJr SSKr\R,R/\R,R05 \"\R4R6R8S5(d\"S 5r\R<rS0S jr!S \"4S jr#Sq$Sq%S1S\&S\RNS\(S\&S\ \ \&\4S\ \RNS\ \(S\ \&S\ \ \&\4S S4Sjjr)SSS\(S\(S\&SSS \ \&\ \ \*\ \*S!4\ \*44S \ S"4S#jr+S$\RNS%\ S"S&\*S'\(S \RN4 S(jr,S2S\&S)\ \(\4S*\ \ \(\4S\&S+\&S \ \RN\RN\ \&\444 S,jjr-SSS \"4S-jr.SSS \ \*4S.jr/S3S\&S\&S \ \ \*\ \(44S/jjr0g!\a \R@rGN6f=f!\a \"S 5rGNKf=f)4N)Fraction)AnyDictListOptionalTupleUnion)_log_api_usage_once) _video_opt pict_typea+Your version of PyAV is too old for the necessary video operations in torchvision. If you are on Python 3.5, you will have to build from source (the conda-forge packages are not up-to-date). See https://github.com/mikeboers/PyAV#installation for instructions on how to install PyAV on your system. zPyAV is not installed, and is necessary for the video operations in torchvision. See https://github.com/mikeboers/PyAV#installation for instructions on how to install PyAV on your system. returncB[[[5(a[egN isinstanceav ExceptionS/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/torchvision/io/video.py_check_av_availabler+s"i  !rc4[[[5(+$rrrrr _av_availabler0s"i( ((r filename video_arrayfps video_codecoptions audio_array audio_fps audio_codec audio_optionsc <[RR5(d2[RR5(d[ [ 5 [ 5 [R"U[RS9RSS9n[U[5(a[R"U5n[R"USS9n U R!X2S9n UR"SU lUR"SU lUS :waS OS U lU=(d 0U lUGb2S S SSSSSSSSS. n U R!XvS9n U=(d 0U lUR"Sn U S:aSOSnU R,R.SR0R2n[R4"X5n[R"U5RSS9R7U5n[R8R;X_US9nUUlU R?U5HnU RAU5 M U R?5HnU RAU5 M UHRn[RBR;US S9nSUl"U R?U5HnU RAU5 M MT U R?5HnU RAU5 M S S S 5 g ![Fa SSK$J%n URLUl"Nf=f!,(df  g =f)a Writes a 4d tensor in [T, H, W, C] format in a video file. This function relies on PyAV (therefore, ultimately FFmpeg) to encode videos, you can get more fine-grained control by referring to the other options at your disposal within `the FFMpeg wiki `_. .. warning:: In the near future, we intend to centralize PyTorch's video decoding capabilities within the `torchcodec `_ project. We encourage you to try it out and share your feedback, as the torchvision video decoders will eventually be deprecated. Args: filename (str): path where the video will be saved video_array (Tensor[T, H, W, C]): tensor containing the individual frames, as a uint8 tensor in [T, H, W, C] format fps (Number): video frames per second video_codec (str): the name of the video codec, i.e. "libx264", "h264", etc. options (Dict): dictionary containing options to be passed into the PyAV video stream. The list of options is codec-dependent and can all be found from `the FFMpeg wiki `_. audio_array (Tensor[C, N]): tensor containing the audio, where C is the number of channels and N is the number of samples audio_fps (Number): audio sample rate, typically 44100 or 48000 audio_codec (str): the name of the audio codec, i.e. "mp3", "aac", etc. audio_options (Dict): dictionary containing options to be passed into the PyAV audio stream. The list of options is codec-dependent and can all be found from `the FFMpeg wiki `_. Examples:: >>> # Creating libx264 video with CRF 17, for visually lossless footage: >>> >>> from torchvision.io import write_video >>> # 1000 frames of 100x100, 3-channel image. >>> vid = torch.randn(1000, 100, 100, 3, dtype = torch.uint8) >>> write_video("video.mp4", options = {"crf": "17"}) dtypeT)forcew)mode)rater r libx264rgbyuv420prgb24NzJ>J!J!*J!:J1J1 J1 J6J6 JJ! J.-J.aframes audio_frames ref_startref_endcUSRUSRpTURSnXT- S-U- nSnUn XB:a[X$- U- 5nXS:a[X5- U- 5n USS2X24$)Nrr )rrNrz) rrrrstartend total_aframesstep_per_aframes_idxe_idxs r_align_audio_framesrsa$$l2&6&:&:3MM!$M{Q-7O E E Y&/9: }W]o56 1ek> ""r start_ptsend_pts output_formatc [RR5(d2[RR5(d[ [ 5 UR 5nUS;a[SUS35eSSKJ n U"5S:waN[RRU5(d[SU35e[R"XX#5upgnGO[!5 Uc [#S 5nX!:a[S US U35e0n/n /n [R$n [&R("US S 9n U R*R,(a#U R*R,SR.n U R*R0(a][3U UUUU R*R0SSS05n U R*R0SR4n U b[#U 5US'U R*R,(aO[3U UUUU R*R,SSS05n U R*R,SR6US'SSS5 U Vs/sH oR;5R=5PM" nnU Vs/sHoR=5PM nnU(a+[R>"[@RB"U55nO#[RD"S[RFS9nU(a[@RH"US5n[R>"U5nUS:XaY[K[LRN"USU - -55nU[#S 5:wa%[K[LRP"USU - -55n[SXzX5nO#[RD"S[RTS9nUS:XaURWSSSS5nXgU4$!,(df  GN=f![8a GNf=fs snfs snf)aB Reads a video from a file, returning both the video frames and the audio frames .. warning:: In the near future, we intend to centralize PyTorch's video decoding capabilities within the `torchcodec `_ project. We encourage you to try it out and share your feedback, as the torchvision video decoders will eventually be deprecated. Args: filename (str): path to the video file. If using the pyav backend, this can be whatever ``av.open`` accepts. start_pts (int if pts_unit = 'pts', float / Fraction if pts_unit = 'sec', optional): The start presentation time of the video end_pts (int if pts_unit = 'pts', float / Fraction if pts_unit = 'sec', optional): The end presentation time pts_unit (str, optional): unit in which start_pts and end_pts values will be interpreted, either 'pts' or 'sec'. Defaults to 'pts'. output_format (str, optional): The format of the output video tensors. Can be either "THWC" (default) or "TCHW". Returns: vframes (Tensor[T, H, W, C] or Tensor[T, C, H, W]): the `T` video frames aframes (Tensor[K, L]): the audio frames, where `K` is the number of channels and `L` is the number of points info (Dict): metadata for the video and audio. Can contain the fields video_fps (float) and audio_fps (int) )THWCTCHWz5output_format should be either 'THWC' or 'TCHW', got .rget_video_backendpyavzFile not found: Nroz7end_pts should be larger than start_pts, got start_pts=z and end_pts=ignoremetadata_errorsrq video_fpsrSr#)rr r rrr'r rn)r rrrrr ),rArBrCrDr read_videoupper ValueError torchvisionrospathexists RuntimeErrorr _read_videorrIdefault_timebaserrLrRrSr}rqr average_rater,rto_rgb to_ndarrayrFrJstackemptyrG concatenaterzr{r|r~rfloat32permute)rrrrkrrvframesrinfo video_framesraudio_timebaser^rrf vframes_list aframes_lists rrrsgB 99 ! ! # #EII,@,@,B,BJ'!'')M,,PQ^P__`abb-f$ww~~h''!1(<= =!+!7!7W!_$ ?ElG  I)Tabiajk   #44 8< $$**%.%6%6%<%7I,J"KLG)'TGkk& >G//!Q1- T !!o=<8   OEs=O14D!OO1!'PP O.)O1.O11 O?>O?c`URSRRnUcgSU;agg)NrFsLavcT)rRrr)r^rs r!_can_read_timestamps_from_packetsrs5!!!$22<`_ project. We encourage you to try it out and share your feedback, as the torchvision video decoders will eventually be deprecated. Note that the function decodes the whole video frame-by-frame. Args: filename (str): path to the video file pts_unit (str, optional): unit in which timestamp values will be returned either 'pts' or 'sec'. Defaults to 'pts'. Returns: pts (List[int] if pts_unit = 'pts', List[Fraction] if pts_unit = 'sec'): presentation timestamps for each one of the frames in the video. video_fps (float, optional): the frame rate for the video rrrNrrz Failed decoding frames for file zFailed to open container for z; Caught error: rn)rArBrCrDr read_video_timestampsrrr _read_video_timestampsrrrLrRrqr}rrrrrIrRuntimeWarningsort) rrkrrrr^ video_streamvideo_time_baseemsgrs rrrsh2 99 ! ! # #EII,@,@,B,B12-f$00DDI C + WWXx 8I  &&(0066q9 "."8"8Q29=C",";";< 9HHJ5,/0Cq?"C0 >#QMM$DXJ"OPQ 9 8 +-hZ7GsK c>**+1sa E2!AE!# D8.E!E2%F,8#EE!EE!! E/+E2/E22 F)<#F$$F))rN)libx264NNNNN)rNrr)r)1rxr{rrr fractionsrtypingrrrrrr rHrJrAutilsr r rlogging set_levelERRORhasattrrqrfr[ ImportErrorrAttributeErrorAVErrorrboolrrvrwstrTensorrIrErzrrrrrrrrrrs+ :: ' JJ))* 288>>,,k : :   !nn  )t)  !(,*.!%!%.2u"u"u" u" u" d38n % u" %,,' u"u"#u"DcN+u" u"pM'MMM M  M c8E#uS#XS *I$JKKL M M` # \\ #)-.>)? #LO #Z_ # \\ #")*04 v"v"UH_%v"eE8O, -v" v"  v"  5<<tCH~ 56 v"r1IdO(@OT#YO8C8385cT\]bTcIcCd8w !jj !   Bs1A'G.( GG+'G.*G++G..H?H