Fi9vddlmZddlZddlZddlZddlZddlZddlZddlZddl Z ddl Z ddl Z ddl Z ddl Z ddlmZddlmZddlmZddlZddlZddlZddlmZmZmZmZmZmZmZm Z m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5e)jldz dfd Z7d4d Z8ejrd5d6d Z:d7d Z;d8d Zd;dZ?dZ@e/ejrddZBe0dZCe0e)jldz dddfdZDdZEd?d@dZFdZGdAdZHdBdCdZIdDdEdZJdFdZKdGd ZLdHd!ZMejrdId"ZNdJd#ZOd$ZPd%ZQd&ZRdKdLd'ZSdMd(ZTd7d)ZUd*ZVd+ZWd7d,ZXeBd-dd.eGe'jd-ZZe'jd/Z[e'jd0Z\e'jd1Z]e'jd2Z^eBd/d3Z_eBd0d3Z`eBd1d3Zay)N) annotationsN)metadata)Path)SimpleNamespace)ARM64ASSETS ASSETS_URL AUTOINSTALLGITIS_COLAB IS_DOCKER IS_JETSON IS_KAGGLEIS_PIP_PACKAGELINUXLOGGERMACOSONLINEPYTHON_VERSION RKNN_CHIPSROOT TORCH_VERSIONTORCHVISION_VERSIONUSER_CONFIG_DIRWINDOWSRetryThreadingLocked TryExcept clean_urlcolorstr downloadsis_github_action_runningurl2filezrequirements.txtc|r2tj|jDcgc] }d|vs| }}n't|j j }g}|D]}|j }|s|jdr(|jddj }tjd|x}sc|jt|d|dr|dj nd|Scc}w) a/Parse a requirements.txt file, ignoring lines that start with '#' and any text after '#'. 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Valid imgsz types are int i.e. 'imgsz=640' or list i.e. 'imgsz=[640,640]'z'train' and 'val' imgsz must be an integer, while 'predict' and 'export' imgsz may be a [h, w] list or an integer, i.e. 'yolo export imgsz=640,480' or 'yolo export imgsz=640'r'zimgsz=z is not a valid image size. zupdating to 'imgsz=z'. z must be multiple of max stride z, updating to r(r)rI isinstancetorchTensormaxlistrGrX isnumericast literal_eval TypeErrortype__name__len ValueErrorrrLmathceil)imgszstridemin_dimmax_dimfloormsgr7szs r: check_imgszrrsFELL!Av NF% ED%= )U  E3  % 1U s7G7G7NeW1$u+2F2F1GHX Y   5zG Y  a<veW,HNO O,SZLC5ABU >C D#diiF #f,e 4 DB D U{w&Fvhn]_\`ab#a>> check_version(current="22.04", required="==22.04") Check if current version is greater than or equal to 22.04 >>> check_version(current="22.10", required="22.04") # assumes '>=' inequality if none passed Check if current version is less than or equal to 22.04 >>> check_version(current="22.04", required="<=22.04") Check if current version is between 20.04 (inclusive) and 22.04 (exclusive) >>> check_version(current="21.10", required=">20.04,<22.04") zinvalid check_version(, z!) requested, please check values.Trz& package is required but not installedNF sys_platformwin32linuxmacosdarwinr$,z([^0-9]*)([\d.]+)>=z==z!=z<=>>@ GB ' " :!q&F 4ZAFF 4ZaF 4ZaF 3YAF 3YAF!" F8*$6tfBwiG_`c_de %g. .  NN7 # MW,, )WI5[*\]cdd  sE''F:FFcddl} |jjj|j d|dd}|j dk(r|j dd Sy#t$rYywxYw) aReturn the latest version of a PyPI package without downloading or installing it. Args: package_name (str): The name of the package to find the latest version for. Returns: (str | None): The latest version of the package, or None if unavailable. rNzhttps://pypi.org/pypi/z/jsonrF)timeoutinforM)requestspackagesurllib3disable_warningsget status_codejsonrK) package_namerresponses r:check_latest_pypi_versionrs|!!224<<"8e LVW<X   3 &==?6*95 5 ' sAA'' A32A3ctrBtr< ddlm}t }t |d|rt jd|dy yy#t$rYywxYw)zCheck if a new version of the ultralytics package is available on PyPI. Returns: (bool): True if an update is available, False otherwise. r) __version__rz)New https://pypi.org/project/ultralytics/u8 available 😃 Update with 'pip install -U ultralytics'TF) rr ultralyticsrrrrrrK)rlatests r:check_pip_update_availabler)sn .  /.0F[AfX,7 ?xH?@ 8     s8A AAcTddlm}t|j}t|z }|j r|S|j Dcgc] }||vs| }}t|r|dStd|}tj|drtj|||Sycc}w)zFind font locally or download to user's configuration directory if it does not already exist. Args: font (str): Path or name of font. Returns: (Path | str): Resolved font file path. r) font_manager/T)check)urlfileN) matplotlibrrr)rexistsfindSystemFontsanyr r!is_url safe_download)fontrr)rrYmatchesrs r: check_fontr?s( :??D T !D {{} '668FQDAIqFGF 7|qzL$ C4(Cd3 ) Gs B%B%Tc*tt|d||S)aCheck current python version against the required minimum version. 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Returns: (str): Updated filename. yolov3yolov5zu.yaml.yaml.ptuz(.*yolov5([nsmlx]))\.ptz\1u.ptz(.*yolov5([nsmlx])6)\.ptz(.*yolov3(|-tiny|-spp))\.ptuPRO TIP 💡 Replace 'model=z' with new 'model=z'. YOLOv5 'u' models are trained with https://github.com/ultralytics/ultralytics and feature improved performance vs standard YOLOv5 models trained with https://github.com/ultralytics/yolov5. )rr2rrr)rr original_files r:check_yolov5u_filenamerMs48t+ t <<'2D Kd]s$ M664iFD665y$GD668)TJD}$ 2=/ASTXSYZcd KrDct|}|js-|jtjvr|j dS|S)zReturn a model filename from a valid model stem. Args: model (str): Model stem to check. Returns: (str | Path): Model filename with appropriate suffix. r)rrstemr!GITHUB_ASSETS_STEMS with_suffix)modelpaths r:check_model_file_from_stemr"hs; ;D ;;499 (E(EE&& LrDct||t|j}t|}|r    !TX^^%;EdVLM M,'(2Xc]B    )     .     KK&3 0 ZLI J:    # #D4 # @  # #*E J: djjl--H ??7 #4tABx?DL!HTN2 ;;= KK&3 0 TFC D4y  # #$e D4y #dTkD01TBhdiiPSTXT_T_bfTfPgFh#av-=$>? ? 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KK5nU'D '')//#5c:#>DLC',Aeck#->cB~\\^(,|!$$26UZZ,,.D&* "" I KKtyy M9??;L MMMPTTUL (=m(L M; &&qvv.G,Wc!++6FQVVZ^_VekF#)'1;;-@ QVV qvvcl<#7"89:;!-In!;/!#+>!?!yy):;IIn5!#+>!?')yy1J'K    D499$Q[=N=N=P$QQQR#. - ),, 'GF s AK88LLc  ddlmtjj t d} j dvrytjdtj}tjj }t|j|rtj |d|dy fd }t"d z }tj$|d d } dd lm}||d|sJtj$|dy#t*$rtj |d|Yyt,t.f$rtj |d|Yyt0$rtj2|dYywxYw)avCheck the PyTorch Automatic Mixed Precision (AMP) functionality of a YOLO model. If the checks fail, it means there are anomalies with AMP on the system that may cause NaN losses or zero-mAP results, so AMP will be disabled during training. Args: model (torch.nn.Module): A YOLO model instance. Returns: (bool): Returns True if the AMP functionality works correctly with YOLO model, else False. 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