FPhVddlZddlZddlZddlZddlZddlZddlZddlZddl Z ddl Z ddl Z ddl m Z ddlmZddlmZddlZddlmZddlZddlZddlZddlmZddlmZeej>ddZ eej>d dZ!e e"jGZ$e$jJd Z&e&d z Z'e&d z Z(e)d e*d ejVd z Z,e-ej>ddj]dk(Z/e-ej>ddj]dk(Z0e0rdndZ1dZ2ddD\Z3Z4Z5ejldvZ7dZ8ejrdddejrdddjtiejvde-e,ejxd<d ejxd!<d"ejxd#<Gd$d%eZ=Gd&d'Z>Gd(d)eZ?dad*Z@e2dfd+ZAdbd,ZBGd-d.ejZDeAe2e0/eje2ZFe5reFjeDGd0d1ZHdcd2ZIddd3ZJd4ee-e eKfd5dfd6ZLeJe(ZMeMjD](\ZOZPeQePe-sePj]d7k(s$deMeO<*eMjZSe?deieMZTd5eUfd8ZVd9ZWd:ZXd;ZYd5eUfd<ZZd5eUfd=Z[e[Z\e]fd>e-d5eUfd?Z^d@ee-e fd5eUfdAZ_dBZ`d5eUfdCZadDZbdEZcdFZddGZedHZfdIZgdfdJZhe ej>dKxsehZieidLz ZjdMZkdNZlGdOdPejZndQZodRZpGdSdTeKZqdgdUZrdVZsdWZtekdXZueqZve evdYZwe evdZZxe evd[ZyeWrd\n+eXrd]n"eYrd^neZrd_nejZ{e`xseaZ|epd d`l}m~Z~mZmZmZee_e5re~eece_~e_e_yy)hN)Path)SimpleNamespace)Union)tqdm) __version__RANK LOCAL_RANKassetszcfg/default.yamlYOLO_AUTOINSTALLTtrue YOLO_VERBOSEz{l_bar}{bar:10}{r_bar} ultralyticsc#JK|]}tj|k(ywN)platformsystem).0xs eC:\Users\daisl\Desktop\realtime-object-detection\venv\Lib\site-packages\ultralytics/utils/__init__.py r)sX9WA*a/9Ws!#)DarwinLinuxWindows)arm64aarch64a Usage examples for running YOLOv8: 1. Install the ultralytics package: pip install ultralytics 2. Use the Python SDK: from ultralytics import YOLO # Load a model model = YOLO('yolov8n.yaml') # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training) # Use the model results = model.train(data="coco128.yaml", epochs=3) # train the model results = model.val() # evaluate model performance on the validation set results = model('https://ultralytics.com/images/bus.jpg') # predict on an image success = model.export(format='onnx') # export the model to ONNX format 3. Use the command line interface (CLI): YOLOv8 'yolo' CLI commands use the following syntax: yolo TASK MODE ARGS Where TASK (optional) is one of [detect, segment, classify] MODE (required) is one of [train, val, predict, export] ARGS (optional) are any number of custom 'arg=value' pairs like 'imgsz=320' that override defaults. See all ARGS at https://docs.ultralytics.com/usage/cfg or with 'yolo cfg' - Train a detection model for 10 epochs with an initial learning_rate of 0.01 yolo detect train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01 - Predict a YouTube video using a pretrained segmentation model at image size 320: yolo segment predict model=yolov8n-seg.pt source='https://youtu.be/LNwODJXcvt4' imgsz=320 - Val a pretrained detection model at batch-size 1 and image size 640: yolo detect val model=yolov8n.pt data=coco128.yaml batch=1 imgsz=640 - Export a YOLOv8n classification model to ONNX format at image size 224 by 128 (no TASK required) yolo export model=yolov8n-cls.pt format=onnx imgsz=224,128 - Run special commands: yolo help yolo checks yolo version yolo settings yolo copy-cfg yolo cfg Docs: https://docs.ultralytics.com Community: https://community.ultralytics.com GitHub: https://github.com/ultralytics/ultralytics i@default) linewidth precisionprofile float_kindz{:11.5g})r! formatterNUMEXPR_MAX_THREADSz:4096:8CUBLAS_WORKSPACE_CONFIG2TF_CPP_MIN_LOG_LEVELc"eZdZdZfdZxZS)TQDMz Custom Ultralytics tqdm class with different default arguments. Args: *args (list): Positional arguments passed to original tqdm. **kwargs (dict): Keyword arguments, with custom defaults applied. ct xs|jdd|d<|jdtt ||i|y)zJInitialize custom Ultralytics tqdm class with different default arguments.disableF bar_formatN)VERBOSEget setdefaultTQDM_BAR_FORMATsuper__init__selfargskwargs __class__s rr4z TQDM.__init__wsC!(KG6::i+Gy,8 $)&))__name__ __module__ __qualname____doc__r4 __classcell__r9s@rr+r+ns**r:r+c"eZdZdZdZdZdZy) SimpleClasszUltralytics SimpleClass is a base class providing helpful string representation, error reporting, and attribute access methods for easier debugging and usage. cg}t|D]}t||}t|r|jdr-t |t r*|d|j d|jjd}n|dt|}|j||j d|jjddj|zS)Return a machine-readable string representation of the object.)rUr6s r__repr__zSimpleClass.__repr__s||~r:cj|jj}td|d|d|j)?Custom attribute access error message with helpful information.'' object has no attribute 'z'. See valid attributes below. )r9r;AttributeErrorr>r6rQnames r __getattr__zSimpleClass.__getattr__s9~~&&q&A$Gghlhthtguvwwr:N)r;r<r=r>rUrXr`r:rrBrBs lxr:rBc*eZdZdZdZdZdZddZy)IterableSimpleNamespacezUltralytics IterableSimpleNamespace is an extension class of SimpleNamespace that adds iterable functionality and enables usage with dict() and for loops. cFtt|jS)zFReturn an iterator of key-value pairs from the namespace's attributes.)itervarsitemsrWs r__iter__z IterableSimpleNamespace.__iter__sDJ$$&''r:c`djdt|jDS)rDrHc30K|]\}}|d|yw)=Nra)rkrSs rrz2IterableSimpleNamespace.__str__..s!C0B1A3as0Bs)rPrfrgrWs rrUzIterableSimpleNamespace.__str__s$yyCT 0@0@0BCCCr:c `|jj}td|d|dtd)rZz 'r\z'. This may be caused by a modified or out of date ultralytics 'default.yaml' file. Please update your code with 'pip install -U ultralytics' and if necessary replace z with the latest version from https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/default.yaml )r9r;r]DEFAULT_CFG_PATHr^s rr`z#IterableSimpleNamespace.__getattr__sD~~&&"V.tf5    r:Nct|||S)zXReturn the value of the specified key if it exists; otherwise, return the default value.)rJ)r6keyr s rr0zIterableSimpleNamespace.getstS'**r:r)r;r<r=r>rhrUr`r0rar:rrcrcs(D+r:rcc"ddifd}|S)ai Decorator to temporarily set rc parameters and the backend for a plotting function. Example: decorator: @plt_settings({"font.size": 12}) context manager: with plt_settings({"font.size": 12}): Args: rcparams (dict): Dictionary of rc parameters to set. backend (str, optional): Name of the backend to use. Defaults to 'Agg'. Returns: (Callable): Decorated function with temporarily set rc parameters and backend. This decorator can be applied to any function that needs to have specific matplotlib rc parameters and backend for its execution. z font.size cfd}|S)zEDecorator to apply temporary rc parameters and backend to a function.cPtj}|k7r*tjdtjtj5|i|}ddd|k7r*tjdtj|S#1swY:xYw)zWSets rc parameters and backend, calls the original function, and restores the settings.allN)plt get_backendcloseswitch_backend rc_context)r7r8original_backendresultbackendfuncrcparamss rwrapperz0plt_settings..decorator..wrappers"0 ** % ""7+)t.v.*** % ""#34M *)s  BB%ra)r~rr}rs` r decoratorzplt_settings..decorators r:ra)rr}rs`` r plt_settingsrs""$( r:c ttjdd}|r|dvrtjntj }tj jdd|ddii|d||d i|||gdd id y ) z#Sets up logging for the given name.rr >rr r Fformatz %(message)szlogging.StreamHandler)classr%level)rhandlers propagate)versiondisable_existing_loggers formattersrloggersN)intosgetenvloggingINFOERRORconfig dictConfig)r_verboserankrs r set_loggingrs ryy$ %D#GLLW]]E NN$) -)* 0! ! !F"$%&'r:cRtr |jjddS|S)z7Return platform-dependent emoji-safe version of string.asciiignore)WINDOWSencodedecode)strings remojisrs"8?6==? ! !'8 4KVKr:c"eZdZdZfdZxZS) EmojiFilterz A custom logging filter class for removing emojis in log messages. This filter is particularly useful for ensuring compatibility with Windows terminals that may not support the display of emojis in log messages. cVt|j|_t| |S)z3Filter logs by emoji unicode characters on windows.)rmsgr3filter)r6recordr9s rrzEmojiFilter.filters"FJJ' w~f%%r:)r;r<r=r>rr?r@s@rrrs&&r:r)rceZdZdZdZdZy)ThreadingLockedaH A decorator class for ensuring thread-safe execution of a function or method. This class can be used as a decorator to make sure that if the decorated function is called from multiple threads, only one thread at a time will be able to execute the function. Attributes: lock (threading.Lock): A lock object used to manage access to the decorated function. Example: ```python from ultralytics.utils import ThreadingLocked @ThreadingLocked() def my_function(): # Your code here pass ``` c6tj|_y)zRInitializes the decorator class for thread-safe execution of a function or method.N) threadingLocklockrWs rr4zThreadingLocked.__init__'sNN$ r:c8ddlm}|fd}|S)z0Run thread-safe execution of function or method.r)wrapscXj5|i|cdddS#1swYyxYw)z:Applies thread-safety to the decorated function or method.N)r)r7r8fr6s r decoratedz+ThreadingLocked.__call__..decorated/s#$)&)s )) functoolsr)r6rrrs`` r__call__zThreadingLocked.__call__+s$# q *  * r:N)r;r<r=r>r4rrar:rrrs&% r:rc |i}t|}|jjs|jjddtt t tttttdf}|jD] \}}t||rt |||<"t|ddd5}|r|j|t!j"||dd dddy#1swYyxYw) a Save YAML data to a file. Args: file (str, optional): File name. Default is 'data.yaml'. data (dict): Data to save in YAML format. header (str, optional): YAML header to add. Returns: (None): Data is saved to the specified file. NTparentsexist_okwrutf-8errorsencodingF sort_keys allow_unicode)rparentexistsmkdirrfloatstrboollisttupledicttypergrMopenwriteyaml safe_dump)filedataheader valid_typesrlrSrs r yaml_saver8s | :D ;;    $6uc4udDJFK 1![)!fDG dC7 ;q  GGFO tQ%tD < ; ;s 8-C..C7cRt|jdvs Jd|dt|dd5}|j}|j st j dd|}tj|xsi}|rt||d <|cd d d S#1swYy xYw) a Load YAML data from a file. Args: file (str, optional): File name. Default is 'data.yaml'. append_filename (bool): Add the YAML filename to the YAML dictionary. Default is False. Returns: (dict): YAML data and file name. )z.yamlz.ymlz!Attempting to load non-YAML file z with yaml_load()rrrzJ[^\x09\x0A\x0D\x20-\x7E\x85\xA0-\uD7FF\uE000-\uFFFD\U00010000-\U0010ffff]+ yaml_fileN) rsuffixrread isprintableresubr safe_loadr)rappend_filenamerrTrs r yaml_loadrXs :   1 1n5VW[V\\m3nn 1 d8g 6! FFH}}dfhjklA~~a &B  #D D  7 6 6s A"BB&rreturnct|ttfr t|n|}t j |dd}t jdtdd|d|y) z Pretty prints a YAML file or a YAML-formatted dictionary. Args: yaml_file: The file path of the YAML file or a YAML-formatted dictionary. Returns: None FTrz Printing 'boldblackz' N) rMrrrrdumpLOGGERinfocolorstr)r yaml_dictrs r yaml_printrrsS)39sDk(J )$PYI 99Y%t DD KK*XfgyAB%vNOr:nonectjt5td5}d|j vcdddcdddS#1swYnxYw dddy#1swYyxYw)zi Check if the OS is Ubuntu. Returns: (bool): True if OS is Ubuntu, False otherwise. /etc/os-releasez ID=ubuntuNF) contextlibsuppressFileNotFoundErrorrrrs r is_ubunturs[   . / # $!&&(*% $ 0 / $ $ $ 0  0 s! A!A  A! A A!!A*cNdtjvxsdtjvS)z Check if the current script is running inside a Google Colab notebook. Returns: (bool): True if running inside a Colab notebook, False otherwise. COLAB_RELEASE_TAGCOLAB_BACKEND_VERSIONrenvironrar:ris_colabrs" "** , U0G2::0UUr:ctjjddk(xr"tjjddk(S)z Check if the current script is running inside a Kaggle kernel. Returns: (bool): True if running inside a Kaggle kernel, False otherwise. PWDz/kaggle/workingKAGGLE_URL_BASEzhttps://www.kaggle.com)rrr0rar:r is_kagglers6 ::>>% $5 5 w"**..IZ:[_w:wwr:c~tjt5ddlm}|ducdddS#1swYyxYw)z Check if the current script is running inside a Jupyter Notebook. Verified on Colab, Jupyterlab, Kaggle, Paperspace. Returns: (bool): True if running inside a Jupyter Notebook, False otherwise. r get_ipythonNF)rr ExceptionIPythonrrs r is_jupyterrs0   Y ''}D( ( ' ' s3<ctd}|jr't|5}d|jvcdddSy#1swYyxYw)z Determine if the script is running inside a Docker container. Returns: (bool): True if the script is running inside a Docker container, False otherwise. z/proc/self/cgroupdockerNF)rrrr)rrs r is_dockerrsC # $D {{} $Z1qvvx'ZZs AA cddl}dD])} |j|dfd}|jyy#|j|jt f$rYOwxYw) z Check internet connectivity by attempting to connect to a known online host. Returns: (bool): True if connection is successful, False otherwise. rN)z1.1.1.1z8.8.8.8z 223.5.5.55)addresstimeoutTF)socketcreate_connectionrxrgaierrorOSError)rhosttest_connections r is_onliner si1 $66bzST6UO  ! ! #2  9   s4 AAfilepathchddl}|jj|}|duxr|jduS)z Determines if the file at the given filepath is part of a pip package. Args: filepath (str): The filepath to check. Returns: (bool): True if the file is part of a pip package, False otherwise. rN)importlib.utilutil find_specorigin)r importlibspecs ris_pip_packagers8 >> # #H -D t  7 4 77r:dir_pathc\tjt|tjS)z Check if a directory is writeable. Args: dir_path (str | Path): The path to the directory. Returns: (bool): True if the directory is writeable, False otherwise. )raccessrW_OK)rs ris_dir_writeablers 99S]BGG ,,r:cdtjvxs<dtjvxs(dt tj dj vS)z Determines whether pytest is currently running or not. Returns: (bool): True if pytest is running, False otherwise. PYTEST_CURRENT_TESTpytestr)rrsysmodulesrargvstemrar:ris_pytest_runningr#sE "RZZ / uX5L uRZ^bcfckcklmcn^o^t^tRtur:cvdtjvxr&dtjvxrdtjvS)z Determine if the current environment is a GitHub Actions CI Python runner. Returns: (bool): True if the current environment is a GitHub Actions CI Python runner, False otherwise. GITHUB_ACTIONS RUNNER_OSRUNNER_TOOL_CACHErrar:ris_github_actions_cir( s3 rzz ) mkRZZ.G mL_cecmcmLmmr:ctduS)z Determines whether the current file is part of a git repository. If the current file is not part of a git repository, returns None. Returns: (bool): True if current file is part of a git repository. N) get_git_dirrar:r is_git_dirr+s = $$r:cnttjD]}|dz js|cSy)a Determines whether the current file is part of a git repository and if so, returns the repository root directory. If the current file is not part of a git repository, returns None. Returns: (Path | None): Git root directory if found or None if not found. z.gitN)r__file__ris_dir)ds rr*r*s-(^ # # J   H$r:ctrbtjtj5tj gd}|j jcdddSy#1swYyxYw)z Retrieves the origin URL of a git repository. Returns: (str | None): The origin URL of the git repository or None if not git directory. )gitrz--getzremote.origin.urlNr+rr subprocessCalledProcessError check_outputrstriprs rget_git_origin_urlr8+sU|  !>!> ?,,-\]F==?((*@ ? ? ? 5A..A7ctrbtjtj5tj gd}|j jcdddSy#1swYyxYw)z Returns the current git branch name. If not in a git repository, returns None. Returns: (str | None): The current git branch name or None if not a git directory. )r1z rev-parsez --abbrev-refHEADNr2r7s rget_git_branchr<8sU|  !>!> ?,,-YZF==?((*@ ? ? ?r9ctj|}|jjDcic]9\}}|jtj j us-||j;c}}Scc}}w)a Returns a dictionary of default arguments for a function. Args: func (callable): The function to inspect. Returns: (dict): A dictionary where each key is a parameter name, and each value is the default value of that parameter. )inspect signature parametersrgr Parameterempty)r~r?rlrSs rget_default_argsrCEsa!!$'I%.%9%9%?%?%A n%ATQQYYV]VgVgVmVmEmAqyyL%A nn ns .A5"A5c$trdtjtt5t d5}t jd|jdcdddcdddSy#1swYnxYw dddy#1swYyxYw)z Retrieve the Ubuntu version if the OS is Ubuntu. Returns: (str): Ubuntu version or None if not an Ubuntu OS. rzVERSION_ID="(\d+\.\d+)"r N) rrrrr]rrsearchrrs rget_ubuntu_versionrFSsl{  !2N C'(Ayy!;QVVXFqI)(D C(((D C Cs" B'A0 B0A9 5BBctrtjdz dz |z }netrtjdz dz |z }nAtrtjdz |z }n t dt jt|jsMtjd|dtd rtd |z ntj|z }|jd d |S) z Get the user config directory. Args: sub_dir (str): The name of the subdirectory to create. Returns: (Path): The path to the user config directory. AppDataRoamingLibraryzApplication Supportz.configzUnsupported operating system: u&WARNING ⚠️ user config directory 'z' is not writeable, defaulting to '/tmp' or CWD.Alternatively you can define a YOLO_CONFIG_DIR environment variable for this path.z/tmpTr)rrhomeMACOSLINUX ValueErrorrrrrrwarningcwdr)sub_dirpaths rget_user_config_dirrS`syy{Y&2W< yy{Y&)>>H yy{Y&09(//:K9LMNN DKK (?vFll m)9&)AtF|g%tvzz|V]G] JJtdJ+ Kr:YOLO_CONFIG_DIRz settings.yamlct|dkDr|ndd|df^}}iddddd d d d dd ddddddddddddddddddd d!d"d#d$d%d&d'd(d)jfd*|D|zd$zS)+a] Colors a string based on the provided color and style arguments. Utilizes ANSI escape codes. See https://en.wikipedia.org/wiki/ANSI_escape_code for more details. This function can be called in two ways: - colorstr('color', 'style', 'your string') - colorstr('your string') In the second form, 'blue' and 'bold' will be applied by default. Args: *input (str): A sequence of strings where the first n-1 strings are color and style arguments, and the last string is the one to be colored. Supported Colors and Styles: Basic Colors: 'black', 'red', 'green', 'yellow', 'blue', 'magenta', 'cyan', 'white' Bright Colors: 'bright_black', 'bright_red', 'bright_green', 'bright_yellow', 'bright_blue', 'bright_magenta', 'bright_cyan', 'bright_white' Misc: 'end', 'bold', 'underline' Returns: (str): The input string wrapped with ANSI escape codes for the specified color and style. Examples: >>> colorstr('blue', 'bold', 'hello world') >>> 'hello world' r bluerrrzredzgreenzyellowzzmagentazcyanzwhitez bright_blackz bright_redz bright_greenz bright_yellowz bright_bluezbright_magentaz bright_cyanz bright_whitezendzzz)r underlinerc3(K|] }| ywrra)rrcolorss rrzcolorstr..s+d6!9ds)lenrP)inputr7rrhs @rrrs(8!Z!^E&&%(1KMT6   z    *    :           j       z  *  z  ! " y# $' F( 77+d+ + 9F5M IIr:cPtjd}|jd|S)a\ Removes ANSI escape codes from a string, effectively un-coloring it. Args: input_string (str): The string to remove color and style from. Returns: (str): A new string with all ANSI escape codes removed. Examples: >>> remove_colorstr(colorstr('blue', 'bold', 'hello world')) >>> 'hello world' z&\x1B(?:[@-Z\\\-_]|\[[0-9]*[ -/]*[@-~])r)rcompiler) input_string ansi_escapes rremove_colorstrros$**FGK ??2| ,,r:c$eZdZdZddZdZdZy) TryExceptzl YOLOv8 TryExcept class. Use as @TryExcept() decorator or 'with TryExcept():' context manager. c ||_||_y)zHInitialize TryExcept class with optional message and verbosity settings.N)rr)r6rrs rr4zTryExcept.__init__s r:cy)z?Executes when entering TryExcept context, initializes instance.NrarWs r __enter__zTryExcept.__enter__s r:c|jr4|r2tt|j|jrdnd|y)zPDefines behavior when exiting a 'with' block, prints error message if necessary.rFrT)rprintrr)r6exc_typevalue tracebacks r__exit__zTryExcept.__exit__s5 <r4rtrzrar:rrqrqs   r:rqcfd}|S)z^ Multi-threads a target function and returns thread. Use as @threaded decorator. cZtj||d}|j|S)z6Multi-threads a given function and returns the thread.T)targetr7r8daemon)rThreadstart)r7r8threadr~s rrzthreaded..wrappers(!!DPTU  r:ra)r~rs` rthreadedrs Nr:c d}tdrtdvrttjdj dk(rt strtrts ddl }|jddd td |ttg |j!d td idD]4}t#j$|j't"j(6yyyyyyyy#t$rYywxYw)a Initialize the Sentry SDK for error tracking and reporting. Only used if sentry_sdk package is installed and sync=True in settings. Run 'yolo settings' to see and update settings YAML file. Conditions required to send errors (ALL conditions must be met or no errors will be reported): - sentry_sdk package is installed - sync=True in YOLO settings - pytest is not running - running in a pip package installation - running in a non-git directory - running with rank -1 or 0 - online environment - CLI used to run package (checked with 'yolo' as the name of the main CLI command) The function also configures Sentry SDK to ignore KeyboardInterrupt and FileNotFoundError exceptions and to exclude events with 'out of memory' in their exception message. Additionally, the function sets custom tags and user information for Sentry events. cd|vr%|d\}}}|ttfvs dt|vrytjdt tjdj trdn trdndtd|d <|S) a Modify the event before sending it to Sentry based on specific exception types and messages. Args: event (dict): The event dictionary containing information about the error. hint (dict): A dictionary containing additional information about the error. Returns: dict: The modified event or None if the event should not be sent to Sentry. exc_infoz out of memoryNrr1pipother)sys_argv sys_argv_nameinstallrtags) KeyboardInterruptrrrr!rr_r+r ENVIRONMENT)eventhintrw exc_valuetbs r before_sendzset_sentry..before_sends  &*:&6 #Hi-/@AA&#i.8 !#((1+.33 * u>;K%QX f  r:sync)r rryoloNz\https://5ff1556b71594bfea135ff0203a0d290@o4504521589325824.ingest.sentry.io/4504521592406016Fg? production)dsndebugtraces_sample_raterelease environmentr ignore_errorsiduuid) sentry_sdkzsentry_sdk.errors)SETTINGSrrrr!r_ TESTS_RUNNINGONLINErr+r ImportErrorinitrrrset_userr getLoggersetLevelCRITICAL)rrloggers r set_sentryrs*0 GO !  " "f ,       n"$#,.?@  B T8F#3458F   f % . .w/?/? @8'   -    sC$$ C0/C0cHeZdZdZedffd ZfdZdZfdZdZ xZ S)SettingsManagera- Manages Ultralytics settings stored in a YAML file. Args: file (str | Path): Path to the Ultralytics settings YAML file. Default is USER_CONFIG_DIR / 'settings.yaml'. version (str): Settings version. In case of local version mismatch, new default settings will be saved. z0.0.4c ddl}ddl}ddlm}ddlm}t }|xs t}|r!t|jr |jn|j} t||_ ||_ id|dt| dz dt|d z d t|d z d |jttj j#j%d ddddddddddddddddddddd|_t( |U|j-|j&|t.5|jj1s|j3|j5|j7|j&j7k(} t9dt;|j=|j&j=D} ||d|j} | r| r| s3t>jAd|jd|jCdddy#1swYyxYw)z}Initialize the SettingsManager with default settings, load and validate current settings from the YAML file. rN) check_version)torch_distributed_zero_firstsettings_version datasets_dirdatasets weights_dirweightsruns_dirrunsrrTapi_keyrclearmlcometdvchubmlflowneptuneraytune tensorboardwandbc3NK|]\}}t|t|uywr)r)rrRbs rrz+SettingsManager.__init__..ns$j?itq!Q47 2?is#%uWARNING ⚠️ Ultralytics settings reset to default values. This may be due to a possible problem with your settings or a recent ultralytics package update. View settings with 'yolo settings' or at 'z\' Update settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'.)"copyhashlibultralytics.utils.checksrultralytics.utils.torch_utilsrr*rrrresolverrrsha256rgetnoder hexdigestdefaultsr3r4deepcopyrrsaveloadkeysruzipvaluesrrOreset)r6rrrrrrgit_dirroot datasets_root correct_keys correct_typescorrect_versionr9s rr4zSettingsManager.__init__DsN :N- $&(/4DT[[4QW[ddf J    C :; 3ti/0 D6M*  GNN3t||~#6#=#=#?@JJL  D  r t T 4 4 d t t 4 T! $ t}}56 )$ /99##% IIK99;$--*<*<*>>Ljs4;;=RVR_R_RfRfRh?ijjM+D1C,DdllSO ]CCG99+Nsst  0 / /s C7I  IcJt|t|jy)z"Loads settings from the YAML file.N)r3updaterr)r6r9s rrzSettingsManager.loadxs y+,r:cBt|jt|y)z,Saves the current settings to the YAML file.N)rrrrWs rrzSettingsManager.save|s$))T$Z(r:cDt||i||jy)z0Updates a setting value in the current settings.N)r3rrr5s rrzSettingsManager.updates '' r:cz|j|j|j|jy)z.Resets the settings to default and saves them.N)clearrrrrWs rrzSettingsManager.resets$  DMM" r:) r;r<r=r> SETTINGS_YAMLr4rrrrr?r@s@rrr;s)*72h-) r:rc p|sttdddz}tjd|d|d|dy)z_Issue a deprecation warning when a deprecated argument is used, suggesting an updated argument.Ng?uWARNING ⚠️ 'z4' is deprecated and will be removed in 'ultralytics z' in the future. Please use 'z ' instead.)rrrrO)argnew_argrs rdeprecation_warnrsH  BQ(3. NN%cU*^_f^gh"")*67r:ct|jjdd}tjj |j ddS)zTStrip auth from URL, i.e. https://url.com/file.txt?auth -> https://url.com/file.txt.z:/z://?r)ras_posixreplaceurllibparseunquotespliturls r clean_urlrsF s)    & &tU 3C <<   $ * *3 / 22r:c>tt|jS)zHConvert URL to filename, i.e. https://url.com/file.txt?auth -> file.txt.)rrr_rs rurl2filers  #  $ $$r:z Ultralytics: rrrColabKaggleJupyterDocker)imreadimshowimwrite torch_save)NAgg)r) data.yamlNr)rFra) Ultralyticsr)rr>logging.configrrrrr3rrrrpathlibrtypesrtypingrcv2matplotlib.pyplotpyplotrvnumpynptorchrr tqdm_originalrrrrrr r-rFILErROOTASSETSrnminmax cpu_count NUM_THREADSrlower AUTOINSTALLr/r2 LOGGING_NAMErLrMrmachineARM64HELP_MSGset_printoptionsr setNumThreadsrr+rBrcrrrFilterrrr addFilterrrrrrDEFAULT_CFG_DICTrgrlrSrMrDEFAULT_CFG_KEYS DEFAULT_CFGrrrrrrr rr;rrr#r(r+r*r8r<rCrFrSUSER_CONFIG_DIRrrroContextDecoratorrqrrrrrrPREFIXr DATASETS_DIR WEIGHTS_DIRRUNS_DIRrrrpatchesrrrrrrar:rr"s    !  &# 9299VR ! <, -  H~ ||A ,,!SLBLLNQ./0 )")).56<<>&H ibii- . 4 4 6& @.5*4 X9WXug227 v9EclJ