hcSSKrSSKrSSKrSSKrSSKJr SSKJ r SSK J r SSK J r SSKJrJrJr SSKJr SS KJr SS KJrJrJr SS KJr \R8"\5r\R>"S 5r S r!S"Sjr"S#Sjr#S$Sjr$Sr%S%Sjr&S%Sjr'S&Sjr(S'Sjr)S%Sjr*S(Sjr+S)Sjr,Sr-S*Sjr.Sr/Sr0S+Sjr1S+Sjr2S#Sjr3S r4S%S!jr5g),N) layout_pb2)MeshPluginData)PrCurvePluginData)TextPluginData)HistogramProtoSummarySummaryMetadata) TensorProto)TensorShapeProto)_prepare_videoconvert_to_HWCconvert_to_NTCHW)make_npz [^-/\w\.]cUbJ[RSU5nURS5nX:wa[R SUSUS35 UnU$)N_/z Summary name z is illegal; using z instead.)_INVALID_TAG_CHARACTERSsublstriploggerinfo)namenew_names N/var/www/fran/franai/venv/lib/python3.13/site-packages/tensorboardX/summary.py _clean_tagrsZ *..sD9??3'   KKv%8 )L ND Kc SSKJn Jn U R5n U R U5n XX$4upnnU R X4U U4UU4X4X4/XS9 U(ayUnU R U5unnnnUU- UU- nn[R"SU-5nU RU UU- SU-- 4U U-U4/US9 U RU U-UU- U- 4XWU S9 U$)Nr) ImageDraw ImageFont)widthfillg?)r")r"font) PILrr load_defaultDrawlinegetbboxnpceil rectangletext)imagexminyminxmaxymax display_strcolor color_text thicknessrr r$drawleftrighttopbottom text_bottomltrb text_width text_heightmargins r_draw_single_boxrD*s(  ! ! #D >>% D"&d!9T#vII{T6NUFO|d[*1:H \\+. 1a"#a%QK  +, K+-F : ;Z - /5:   F]K+5> ? t   Lrc SSKJnJnJnJnJnJn SSKJnJ n J n Sn Sn Sn SnSn/nU "5nUR5GHunnUcM [U[5(a;UURUlUR!U"UUR#S5S 95 M\[U[$5(a;UURUlUR!U"UUR#S 5S 95 M[U[([*45(aJ[-U5SnUURUlUR!U"UUR#S 5S 95 GM[1U5(aP[3US [U55URUlUR!U"UUR#S5S 95 GMqUR!U"UUR#S 5S 95 GM U"UU S9n[5[4R6"U UR95S9S9n[;[:R""UUS9/S9nUVs/sH nU"U"US9S9PM nnU"UUS9nU"UU S9n[5[4R6"U UR95S9S9n[;[:R""U US9/S9nU "UR#S5S9nU"UU S9n[5[4R6"U UR95S9S9n[;[:R""UUS9/S9nUUU4$s snf)Nr)DataType Experiment HParamInfo MetricInfo MetricNameStatus)HParamsPluginDataSessionEndInfoSessionStartInfohparamsz_hparams_/experimentz_hparams_/session_start_infoz_hparams_/session_end_infoDATA_TYPE_STRING)rtypeDATA_TYPE_BOOLDATA_TYPE_FLOAT64__name__DATA_TYPE_UNSET)session_start_infoversion plugin_namecontent plugin_data)tagmetadatavaluer])r) hparam_infos metric_infos) experimentrWSTATUS_SUCCESS)status)session_end_inforW)tensorboardX.proto.api_pb2rFrGrHrIrJrK%tensorboardX.proto.plugin_hparams_pb2rLrMrNitems isinstancestrrO string_valueappendValuebool bool_valueintfloatr number_valuecallablegetattrr PluginDataSerializeToStringr ) hparam_dict metric_dictrFrGrHrIrJrKrLrMrN PLUGIN_NAMEPLUGIN_DATA_VERSIONEXPERIMENT_TAGSESSION_START_INFO_TAGSESSION_END_INFO_TAGhpsssikvrZsmdmtsexpseis rrOrOBs K+N;7 C  C!!#1 9  a  *+CKKN ' JJzqx~~>P/QR S  a  ()CKKN % JJzqx~~>N/OP Q  a#u & & 1 A*+CKKN ' JJzqx~~>Q/RS T  A;;*1!ZQ*HCKKN ' JJzqx~~>P/QR S  :18>>:K+LMN3$6 3@STG o&@&@[IPIbIbId'f gC +ACPQ RC7B C{!::!, -{C C #C 8C38KLG o&@&@[IPIbIbId'f gC >CHI JC  -= > ?C>QRG o&@&@[IPIbIbId'f gC +?#NO PC S= Ds+K>cF[U5n[U5nUR5RS:XdS5e[ UR55nUS:Xa"US:Xa[ [ R "XS9/S9$[X#S9n[ [ R "XUS9/S9$)aOutputs a `Summary` protocol buffer containing a single scalar value. The generated Summary has a Tensor.proto containing the input Tensor. Args: name: A name for the generated node. Will also serve as the series name in TensorBoard. tensor: A real numeric Tensor containing a single value. display_name: The title of the plot. If empty string is passed, `name` will be used. summary_description: The comprehensive text that will showed by clicking the information icon on TensorBoard. Returns: A scalar `Tensor` of type `string`. Which contains a `Summary` protobuf. Raises: ValueError: If tensor has the wrong shape or type. rzscalar should be 0D)r] simple_valuer_) display_namesummary_description)r]rr^)rrsqueezendimrsr ror )rscalarrrr^s rrrs d D V_F >>  A %<'<< % 6>># $Fr1R7gmmJKLLLbH '--DPXYZ [[rc X[UUUUUUUS9n[[R"XS9/S9$)aOutputs a `Summary` protocol buffer with a histogram. The generated [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto) has one summary value containing a histogram for `values`. Args: name: A name for the generated node. Will also serve as a series name in TensorBoard. min: A float or int min value max: A float or int max value num: Int number of values sum: Float or int sum of all values sum_squares: Float or int sum of squares for all values bucket_limits: A numeric `Tensor` with upper value per bucket bucket_counts: A numeric `Tensor` with number of values per bucket Returns: A scalar `Tensor` of type `string`. The serialized `Summary` protocol buffer. minmaxnumsum sum_squares bucket_limitbucketr]histor_)rr ro) rrrrrr bucket_limits bucket_countshists r histogram_rawrs;( c!!!&1'4!.  0D '--D=> ??rc[U5n[U5n[UR[5X#5n[ [ R "XS9/S9$)a0Outputs a `Summary` protocol buffer with a histogram. The generated [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto) has one summary value containing a histogram for `values`. This op reports an `InvalidArgument` error if any value is not finite. Args: name: A name for the generated node. 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"[1 3B 22::fa01JaB!1C-D7SJE JE c(Q,C ',aiVAIc "R^^aS&QURU,DW5XF #' "F {{a6;;!+LMM ZZ F fjjl$jjl!&k$jjl&,'-}}!'  22rc[U5n[U5n[X5nUR[R :wa"US-R [R 5n[XS9n[[R"XS9/S9$)aoOutputs a `Summary` protocol buffer with images. The summary has up to `max_images` summary values containing images. The images are built from `tensor` which must be 3-D with shape `[height, width, channels]` and where `channels` can be: * 1: `tensor` is interpreted as Grayscale. * 3: `tensor` is interpreted as RGB. * 4: `tensor` is interpreted as RGBA. Args: tag: A name for the generated node. Will also serve as a series name in TensorBoard. tensor: A 3-D `uint8` or `float32` `Tensor` of shape `[height, width, channels]` where `channels` is 1, 3, or 4. 'tensor' can either have values in [0, 1] (float32) or [0, 255] (uint8). The image() function will scale the image values to [0, 255] by applying a scale factor of either 1 (uint8) or 255 (float32). Returns: A scalar `Tensor` of type `string`. The serialized `Summary` protocol buffer. o@)rescaler]r.r_) rrrrr*uint8r make_imager ro)r]tensorr dataformatsr.s rr.r. si* S/C V_F F 0F ||rxx5.((2 v /E '--C=> ??rc[U5n[X5n[U5nUR[R:wa"US-R [R5n[ UUX%S9n[[R"XS9/S9$)z0Outputs a `Summary` protocol buffer with images.r)rroislabelsrr_) rrrr*rrrr ro)r] tensor_image tensor_boxesrrrr.s r image_boxesr+sv<(L!, |&( 9E '--C=> ??rc URSn[U5nUH)n[UXS4XS4XS4XS4UcSOX%SS9nM+ U$)Nrrr#Red)r3r4)shaperangerD) disp_imageboxesr num_boxeslist_gtis r draw_boxesr:si AIIG %j&+qDk&+qDk&+qDk&+qDk:@.$fi,1 3  rc(SSKnSSKJn SSKJn URupxn [ Xq-5n [ X-5n UR U5n Ub [XUS9n U"UR5U"S5:a(U RX4URR5n OU RX4UR5n SSK n U R5nU RUSS9 UR5nUR!5 ["R"UUU US 9$) z7Convert an numpy representation image to Image protobufrN)parse)Image)rz9.1.0PNG)formatheightr! colorspaceencoded_image_string)r%packaging.versionrrrrr fromarrayr __version__resize ResamplingLANCZOSioBytesIOsavegetvaluecloser )rrrrr%rrrr!channel scaled_height scaled_widthr.routput image_strings rrrIs'#\\F7()Mu'L OOF #E 5v6 S__w/ l:E ??rctSSKnSSKJn SSKJn SSKJn U"U"S55nSSKJ n U"U"S 55n Xe"S 5:a X"S 5:a[ RS 5 URuppU S :Xa,Xe"S 5:d X"S5:a[R"USSS9nU"[U5US9nUR!SSS9nUR"nXe"S5:a&[ R%S5 UR'USS9 O-Xe"S5:aUR'USSS9 OUR'USS9 [)US5nUR+5nSSS5 [,R."U5 SSS5 [2R4"XU WS9$!Ua [ RS5 gf=f![a9 SSK J n GN![a!n[ RSU5 SnAgSnAff=ff=f!,(df  N=f![0a [ R%S5 Nf=f!,(df  N=f)Nr)PackageNotFoundErrorrW)Versionmoviepyzmoviepy is not installed.)ImageSequenceClipzgCan't create video. moviepy is installed, but can't import moviepy.video.io.ImageSequenceClip due to %rimageio2z2.29zYou are using moviepy >= 2.0.0 and imageio < 2.29.0. 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