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Note

Ce fichier est disponible 脿 l'adresse https://github.com/ultralytics/ ultralytics/blob/main/ ultralytics/utils/checks .py. Si tu rep猫res un probl猫me, aide 脿 le corriger en contribuant 脿 une Pull Request 馃洜锔. Merci 馃檹 !



ultralytics.utils.checks.parse_requirements(file_path=ROOT.parent / 'requirements.txt', package='')

Analyse un fichier requirements.txt, en ignorant les lignes qui commencent par '#' et tout texte apr猫s '#'.

Param猫tres :

Nom Type Description D茅faut
file_path Path

Chemin d'acc猫s au fichier requirements.txt.

parent / 'requirements.txt'
package str

Python package 脿 utiliser 脿 la place du fichier requirements.txt, c'est-脿-dire package='ultralytics'.

''

Retourne :

Type Description
List[Dict[str, str]]

Liste des exigences analys茅es sous forme de dictionnaires avec name et specifier cl茅s.

Exemple
from ultralytics.utils.checks import parse_requirements

parse_requirements(package='ultralytics')
Code source dans ultralytics/utils/checks.py
def parse_requirements(file_path=ROOT.parent / "requirements.txt", package=""):
    """
    Parse a requirements.txt file, ignoring lines that start with '#' and any text after '#'.

    Args:
        file_path (Path): Path to the requirements.txt file.
        package (str, optional): Python package to use instead of requirements.txt file, i.e. package='ultralytics'.

    Returns:
        (List[Dict[str, str]]): List of parsed requirements as dictionaries with `name` and `specifier` keys.

    Example:
        ```python
        from ultralytics.utils.checks import parse_requirements

        parse_requirements(package='ultralytics')
        ```
    """

    if package:
        requires = [x for x in metadata.distribution(package).requires if "extra == " not in x]
    else:
        requires = Path(file_path).read_text().splitlines()

    requirements = []
    for line in requires:
        line = line.strip()
        if line and not line.startswith("#"):
            line = line.split("#")[0].strip()  # ignore inline comments
            match = re.match(r"([a-zA-Z0-9-_]+)\s*([<>!=~]+.*)?", line)
            if match:
                requirements.append(SimpleNamespace(name=match[1], specifier=match[2].strip() if match[2] else ""))

    return requirements



ultralytics.utils.checks.parse_version(version='0.0.0')

Convertit une cha卯ne de version en un tuple d'entiers, en ignorant toute cha卯ne non num茅rique suppl茅mentaire attach茅e 脿 la version. Cette fonction remplace la fonction obsol猫te 'pkg_resources.parse_version(v)'.

Param猫tres :

Nom Type Description D茅faut
version str

Cha卯ne de version, par exemple '2.0.1+cpu'

'0.0.0'

Retourne :

Type Description
tuple

Tuple d'entiers repr茅sentant la partie num茅rique de la version et la cha卯ne suppl茅mentaire, c'est-脿-dire (2, 0, 1).

Code source dans ultralytics/utils/checks.py
def parse_version(version="0.0.0") -> tuple:
    """
    Convert a version string to a tuple of integers, ignoring any extra non-numeric string attached to the version. This
    function replaces deprecated 'pkg_resources.parse_version(v)'.

    Args:
        version (str): Version string, i.e. '2.0.1+cpu'

    Returns:
        (tuple): Tuple of integers representing the numeric part of the version and the extra string, i.e. (2, 0, 1)
    """
    try:
        return tuple(map(int, re.findall(r"\d+", version)[:3]))  # '2.0.1+cpu' -> (2, 0, 1)
    except Exception as e:
        LOGGER.warning(f"WARNING 鈿狅笍 failure for parse_version({version}), returning (0, 0, 0): {e}")
        return 0, 0, 0



ultralytics.utils.checks.is_ascii(s)

V茅rifie si une cha卯ne de caract猫res est compos茅e uniquement de caract猫res ASCII.

Param猫tres :

Nom Type Description D茅faut
s str

Cha卯ne 脿 v茅rifier.

requis

Retourne :

Type Description
bool

Vrai si la cha卯ne est compos茅e uniquement de caract猫res ASCII, Faux sinon.

Code source dans ultralytics/utils/checks.py
def is_ascii(s) -> bool:
    """
    Check if a string is composed of only ASCII characters.

    Args:
        s (str): String to be checked.

    Returns:
        (bool): True if the string is composed only of ASCII characters, False otherwise.
    """
    # Convert list, tuple, None, etc. to string
    s = str(s)

    # Check if the string is composed of only ASCII characters
    return all(ord(c) < 128 for c in s)



ultralytics.utils.checks.check_imgsz(imgsz, stride=32, min_dim=1, max_dim=2, floor=0)

V茅rifie que la taille de l'image est un multiple de l'intervalle donn茅 dans chaque dimension. Si la taille de l'image n'est pas un multiple de la la met 脿 jour avec le multiple le plus proche de l'茅chelle qui est sup茅rieur ou 茅gal 脿 la valeur plancher donn茅e.

Param猫tres :

Nom Type Description D茅faut
imgsz int | cList[int]

Taille de l'image.

requis
stride int

Valeur de la foul茅e.

32
min_dim int

Nombre minimum de dimensions.

1
max_dim int

Nombre maximum de dimensions.

2
floor int

Valeur minimale autoris茅e pour la taille de l'image.

0

Retourne :

Type Description
List[int]

Mise 脿 jour de la taille de l'image.

Code source dans ultralytics/utils/checks.py
def check_imgsz(imgsz, stride=32, min_dim=1, max_dim=2, floor=0):
    """
    Verify image size is a multiple of the given stride in each dimension. If the image size is not a multiple of the
    stride, update it to the nearest multiple of the stride that is greater than or equal to the given floor value.

    Args:
        imgsz (int | cList[int]): Image size.
        stride (int): Stride value.
        min_dim (int): Minimum number of dimensions.
        max_dim (int): Maximum number of dimensions.
        floor (int): Minimum allowed value for image size.

    Returns:
        (List[int]): Updated image size.
    """
    # Convert stride to integer if it is a tensor
    stride = int(stride.max() if isinstance(stride, torch.Tensor) else stride)

    # Convert image size to list if it is an integer
    if isinstance(imgsz, int):
        imgsz = [imgsz]
    elif isinstance(imgsz, (list, tuple)):
        imgsz = list(imgsz)
    else:
        raise TypeError(
            f"'imgsz={imgsz}' is of invalid type {type(imgsz).__name__}. "
            f"Valid imgsz types are int i.e. 'imgsz=640' or list i.e. 'imgsz=[640,640]'"
        )

    # Apply max_dim
    if len(imgsz) > max_dim:
        msg = (
            "'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'"
        )
        if max_dim != 1:
            raise ValueError(f"imgsz={imgsz} is not a valid image size. {msg}")
        LOGGER.warning(f"WARNING 鈿狅笍 updating to 'imgsz={max(imgsz)}'. {msg}")
        imgsz = [max(imgsz)]
    # Make image size a multiple of the stride
    sz = [max(math.ceil(x / stride) * stride, floor) for x in imgsz]

    # Print warning message if image size was updated
    if sz != imgsz:
        LOGGER.warning(f"WARNING 鈿狅笍 imgsz={imgsz} must be multiple of max stride {stride}, updating to {sz}")

    # Add missing dimensions if necessary
    sz = [sz[0], sz[0]] if min_dim == 2 and len(sz) == 1 else sz[0] if min_dim == 1 and len(sz) == 1 else sz

    return sz



ultralytics.utils.checks.check_version(current='0.0.0', required='0.0.0', name='version', hard=False, verbose=False, msg='')

V茅rifie la version actuelle par rapport 脿 la version ou 脿 la plage requise.

Param猫tres :

Nom Type Description D茅faut
current str

Version actuelle ou nom du paquet 脿 partir duquel la version est obtenue.

'0.0.0'
required str

Version ou plage requise (dans un format de type pip).

'0.0.0'
name str

Nom 脿 utiliser dans le message d'avertissement.

'version'
hard bool

Si True, l猫ve une AssertionError si l'exigence n'est pas satisfaite.

False
verbose bool

Si True, imprime un message d'avertissement si la condition n'est pas remplie.

False
msg str

Message suppl茅mentaire 脿 afficher si le message est verbeux.

''

Retourne :

Type Description
bool

Vrai si l'exigence est satisfaite, Faux sinon.

Exemple
# Check if current version is exactly 22.04
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')
Code source dans ultralytics/utils/checks.py
def check_version(
    current: str = "0.0.0",
    required: str = "0.0.0",
    name: str = "version",
    hard: bool = False,
    verbose: bool = False,
    msg: str = "",
) -> bool:
    """
    Check current version against the required version or range.

    Args:
        current (str): Current version or package name to get version from.
        required (str): Required version or range (in pip-style format).
        name (str, optional): Name to be used in warning message.
        hard (bool, optional): If True, raise an AssertionError if the requirement is not met.
        verbose (bool, optional): If True, print warning message if requirement is not met.
        msg (str, optional): Extra message to display if verbose.

    Returns:
        (bool): True if requirement is met, False otherwise.

    Example:
        ```python
        # Check if current version is exactly 22.04
        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')
        ```
    """
    if not current:  # if current is '' or None
        LOGGER.warning(f"WARNING 鈿狅笍 invalid check_version({current}, {required}) requested, please check values.")
        return True
    elif not current[0].isdigit():  # current is package name rather than version string, i.e. current='ultralytics'
        try:
            name = current  # assigned package name to 'name' arg
            current = metadata.version(current)  # get version string from package name
        except metadata.PackageNotFoundError as e:
            if hard:
                raise ModuleNotFoundError(emojis(f"WARNING 鈿狅笍 {current} package is required but not installed")) from e
            else:
                return False

    if not required:  # if required is '' or None
        return True

    op = ""
    version = ""
    result = True
    c = parse_version(current)  # '1.2.3' -> (1, 2, 3)
    for r in required.strip(",").split(","):
        op, version = re.match(r"([^0-9]*)([\d.]+)", r).groups()  # split '>=22.04' -> ('>=', '22.04')
        v = parse_version(version)  # '1.2.3' -> (1, 2, 3)
        if op == "==" and c != v:
            result = False
        elif op == "!=" and c == v:
            result = False
        elif op in (">=", "") and not (c >= v):  # if no constraint passed assume '>=required'
            result = False
        elif op == "<=" and not (c <= v):
            result = False
        elif op == ">" and not (c > v):
            result = False
        elif op == "<" and not (c < v):
            result = False
    if not result:
        warning = f"WARNING 鈿狅笍 {name}{op}{version} is required, but {name}=={current} is currently installed {msg}"
        if hard:
            raise ModuleNotFoundError(emojis(warning))  # assert version requirements met
        if verbose:
            LOGGER.warning(warning)
    return result



ultralytics.utils.checks.check_latest_pypi_version(package_name='ultralytics')

Renvoie la derni猫re version d'un paquet PyPI sans le t茅l茅charger ni l'installer.

Param猫tres :

Nom Type Description D茅faut
package_name str

Le nom du paquet pour lequel il faut trouver la derni猫re version.

'ultralytics'

Retourne :

Type Description
str

La derni猫re version du paquet.

Code source dans ultralytics/utils/checks.py
def check_latest_pypi_version(package_name="ultralytics"):
    """
    Returns the latest version of a PyPI package without downloading or installing it.

    Parameters:
        package_name (str): The name of the package to find the latest version for.

    Returns:
        (str): The latest version of the package.
    """
    with contextlib.suppress(Exception):
        requests.packages.urllib3.disable_warnings()  # Disable the InsecureRequestWarning
        response = requests.get(f"https://pypi.org/pypi/{package_name}/json", timeout=3)
        if response.status_code == 200:
            return response.json()["info"]["version"]



ultralytics.utils.checks.check_pip_update_available()

V茅rifie si une nouvelle version du paquet ultralytics est disponible sur PyPI.

Retourne :

Type Description
bool

True si une mise 脿 jour est disponible, False sinon.

Code source dans ultralytics/utils/checks.py
def check_pip_update_available():
    """
    Checks if a new version of the ultralytics package is available on PyPI.

    Returns:
        (bool): True if an update is available, False otherwise.
    """
    if ONLINE and is_pip_package():
        with contextlib.suppress(Exception):
            from ultralytics import __version__

            latest = check_latest_pypi_version()
            if check_version(__version__, f"<{latest}"):  # check if current version is < latest version
                LOGGER.info(
                    f"New https://pypi.org/project/ultralytics/{latest} available 馃槂 "
                    f"Update with 'pip install -U ultralytics'"
                )
                return True
    return False



ultralytics.utils.checks.check_font(font='Arial.ttf')

Trouve la police localement ou t茅l茅charge-la dans le r茅pertoire de configuration de l'utilisateur si elle n'existe pas d茅j脿.

Param猫tres :

Nom Type Description D茅faut
font str

Chemin d'acc猫s ou nom de la police.

'Arial.ttf'

Retourne :

Nom Type Description
file Path

Chemin d'acc猫s au fichier de police r茅solu.

Code source dans ultralytics/utils/checks.py
@ThreadingLocked()
def check_font(font="Arial.ttf"):
    """
    Find font locally or download to user's configuration directory if it does not already exist.

    Args:
        font (str): Path or name of font.

    Returns:
        file (Path): Resolved font file path.
    """
    name = Path(font).name

    # Check USER_CONFIG_DIR
    file = USER_CONFIG_DIR / name
    if file.exists():
        return file

    # Check system fonts
    matches = [s for s in font_manager.findSystemFonts() if font in s]
    if any(matches):
        return matches[0]

    # Download to USER_CONFIG_DIR if missing
    url = f"https://ultralytics.com/assets/{name}"
    if downloads.is_url(url):
        downloads.safe_download(url=url, file=file)
        return file



ultralytics.utils.checks.check_python(minimum='3.8.0')

V茅rifie la version actuelle de python par rapport 脿 la version minimale requise.

Param猫tres :

Nom Type Description D茅faut
minimum str

Version minimale requise de python.

'3.8.0'

Retourne :

Type Description
bool

Si la version install茅e de Python r茅pond aux contraintes minimales.

Code source dans ultralytics/utils/checks.py
def check_python(minimum: str = "3.8.0") -> bool:
    """
    Check current python version against the required minimum version.

    Args:
        minimum (str): Required minimum version of python.

    Returns:
        (bool): Whether the installed Python version meets the minimum constraints.
    """
    return check_version(PYTHON_VERSION, minimum, name="Python ", hard=True)



ultralytics.utils.checks.check_requirements(requirements=ROOT.parent / 'requirements.txt', exclude=(), install=True, cmds='')

V茅rifie si les d茅pendances install茅es r茅pondent aux exigences de YOLOv8 et tente d'effectuer une mise 脿 jour automatique si n茅cessaire.

Param猫tres :

Nom Type Description D茅faut
requirements Union[Path, str, List[str]]

Chemin d'acc猫s 脿 un fichier requirements.txt, 脿 une seule exigence de paquetage sous forme de cha卯ne ou 脿 une liste d'exigences de paquetage sous forme de cha卯nes. ou une liste d'exigences de paquets sous forme de cha卯nes.

parent / 'requirements.txt'
exclude Tuple[str]

Tuple de noms de paquets 脿 exclure de la v茅rification.

()
install bool

Si True, tente de mettre 脿 jour automatiquement les paquets qui ne r茅pondent pas aux exigences.

True
cmds str

Commandes suppl茅mentaires 脿 passer 脿 la commande pip install lors de la mise 脿 jour automatique.

''
Exemple
from ultralytics.utils.checks import check_requirements

# Check a requirements.txt file
check_requirements('path/to/requirements.txt')

# Check a single package
check_requirements('ultralytics>=8.0.0')

# Check multiple packages
check_requirements(['numpy', 'ultralytics>=8.0.0'])
Code source dans ultralytics/utils/checks.py
@TryExcept()
def check_requirements(requirements=ROOT.parent / "requirements.txt", exclude=(), install=True, cmds=""):
    """
    Check if installed dependencies meet YOLOv8 requirements and attempt to auto-update if needed.

    Args:
        requirements (Union[Path, str, List[str]]): Path to a requirements.txt file, a single package requirement as a
            string, or a list of package requirements as strings.
        exclude (Tuple[str]): Tuple of package names to exclude from checking.
        install (bool): If True, attempt to auto-update packages that don't meet requirements.
        cmds (str): Additional commands to pass to the pip install command when auto-updating.

    Example:
        ```python
        from ultralytics.utils.checks import check_requirements

        # Check a requirements.txt file
        check_requirements('path/to/requirements.txt')

        # Check a single package
        check_requirements('ultralytics>=8.0.0')

        # Check multiple packages
        check_requirements(['numpy', 'ultralytics>=8.0.0'])
        ```
    """

    prefix = colorstr("red", "bold", "requirements:")
    check_python()  # check python version
    check_torchvision()  # check torch-torchvision compatibility
    if isinstance(requirements, Path):  # requirements.txt file
        file = requirements.resolve()
        assert file.exists(), f"{prefix} {file} not found, check failed."
        requirements = [f"{x.name}{x.specifier}" for x in parse_requirements(file) if x.name not in exclude]
    elif isinstance(requirements, str):
        requirements = [requirements]

    pkgs = []
    for r in requirements:
        r_stripped = r.split("/")[-1].replace(".git", "")  # replace git+https://org/repo.git -> 'repo'
        match = re.match(r"([a-zA-Z0-9-_]+)([<>!=~]+.*)?", r_stripped)
        name, required = match[1], match[2].strip() if match[2] else ""
        try:
            assert check_version(metadata.version(name), required)  # exception if requirements not met
        except (AssertionError, metadata.PackageNotFoundError):
            pkgs.append(r)

    s = " ".join(f'"{x}"' for x in pkgs)  # console string
    if s:
        if install and AUTOINSTALL:  # check environment variable
            n = len(pkgs)  # number of packages updates
            LOGGER.info(f"{prefix} Ultralytics requirement{'s' * (n > 1)} {pkgs} not found, attempting AutoUpdate...")
            try:
                t = time.time()
                assert is_online(), "AutoUpdate skipped (offline)"
                LOGGER.info(subprocess.check_output(f"pip install --no-cache {s} {cmds}", shell=True).decode())
                dt = time.time() - t
                LOGGER.info(
                    f"{prefix} AutoUpdate success 鉁 {dt:.1f}s, installed {n} package{'s' * (n > 1)}: {pkgs}\n"
                    f"{prefix} 鈿狅笍 {colorstr('bold', 'Restart runtime or rerun command for updates to take effect')}\n"
                )
            except Exception as e:
                LOGGER.warning(f"{prefix}{e}")
                return False
        else:
            return False

    return True



ultralytics.utils.checks.check_torchvision()

V茅rifie les versions install茅es de PyTorch et de Torchvision pour s'assurer qu'elles sont compatibles.

Cette fonction v茅rifie les versions install茅es de PyTorch et Torchvision, et te pr茅vient en cas d'incompatibilit茅 selon selon la table de compatibilit茅 fournie, bas茅e sur : https://github.com/pytorch/vision#installation.

La table de compatibilit茅 est un dictionnaire dont les cl茅s sont les versions PyTorch et les valeurs sont des listes de versions compatibles. Torchvision compatibles.

Code source dans ultralytics/utils/checks.py
def check_torchvision():
    """
    Checks the installed versions of PyTorch and Torchvision to ensure they're compatible.

    This function checks the installed versions of PyTorch and Torchvision, and warns if they're incompatible according
    to the provided compatibility table based on:
    https://github.com/pytorch/vision#installation.

    The compatibility table is a dictionary where the keys are PyTorch versions and the values are lists of compatible
    Torchvision versions.
    """

    import torchvision

    # Compatibility table
    compatibility_table = {"2.0": ["0.15"], "1.13": ["0.14"], "1.12": ["0.13"]}

    # Extract only the major and minor versions
    v_torch = ".".join(torch.__version__.split("+")[0].split(".")[:2])
    v_torchvision = ".".join(torchvision.__version__.split("+")[0].split(".")[:2])

    if v_torch in compatibility_table:
        compatible_versions = compatibility_table[v_torch]
        if all(v_torchvision != v for v in compatible_versions):
            print(
                f"WARNING 鈿狅笍 torchvision=={v_torchvision} is incompatible with torch=={v_torch}.\n"
                f"Run 'pip install torchvision=={compatible_versions[0]}' to fix torchvision or "
                "'pip install -U torch torchvision' to update both.\n"
                "For a full compatibility table see https://github.com/pytorch/vision#installation"
            )



ultralytics.utils.checks.check_suffix(file='yolov8n.pt', suffix='.pt', msg='')

V茅rifie que le(s) fichier(s) poss猫de(nt) un suffixe acceptable.

Code source dans ultralytics/utils/checks.py
def check_suffix(file="yolov8n.pt", suffix=".pt", msg=""):
    """Check file(s) for acceptable suffix."""
    if file and suffix:
        if isinstance(suffix, str):
            suffix = (suffix,)
        for f in file if isinstance(file, (list, tuple)) else [file]:
            s = Path(f).suffix.lower().strip()  # file suffix
            if len(s):
                assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}, not {s}"



ultralytics.utils.checks.check_yolov5u_filename(file, verbose=True)

Remplace les anciens noms de fichiers YOLOv5 par les nouveaux noms de fichiers YOLOv5u.

Code source dans ultralytics/utils/checks.py
def check_yolov5u_filename(file: str, verbose: bool = True):
    """Replace legacy YOLOv5 filenames with updated YOLOv5u filenames."""
    if "yolov3" in file or "yolov5" in file:
        if "u.yaml" in file:
            file = file.replace("u.yaml", ".yaml")  # i.e. yolov5nu.yaml -> yolov5n.yaml
        elif ".pt" in file and "u" not in file:
            original_file = file
            file = re.sub(r"(.*yolov5([nsmlx]))\.pt", "\\1u.pt", file)  # i.e. yolov5n.pt -> yolov5nu.pt
            file = re.sub(r"(.*yolov5([nsmlx])6)\.pt", "\\1u.pt", file)  # i.e. yolov5n6.pt -> yolov5n6u.pt
            file = re.sub(r"(.*yolov3(|-tiny|-spp))\.pt", "\\1u.pt", file)  # i.e. yolov3-spp.pt -> yolov3-sppu.pt
            if file != original_file and verbose:
                LOGGER.info(
                    f"PRO TIP 馃挕 Replace 'model={original_file}' with new 'model={file}'.\nYOLOv5 'u' models are "
                    f"trained with https://github.com/ultralytics/ultralytics and feature improved performance vs "
                    f"standard YOLOv5 models trained with https://github.com/ultralytics/yolov5.\n"
                )
    return file



ultralytics.utils.checks.check_model_file_from_stem(model='yolov8n')

Renvoie un nom de fichier de mod猫le 脿 partir d'une tige de mod猫le valide.

Code source dans ultralytics/utils/checks.py
def check_model_file_from_stem(model="yolov8n"):
    """Return a model filename from a valid model stem."""
    if model and not Path(model).suffix and Path(model).stem in downloads.GITHUB_ASSETS_STEMS:
        return Path(model).with_suffix(".pt")  # add suffix, i.e. yolov8n -> yolov8n.pt
    else:
        return model



ultralytics.utils.checks.check_file(file, suffix='', download=True, hard=True)

Recherche/t茅l茅charge le fichier (si n茅cessaire) et renvoie le chemin d'acc猫s.

Code source dans ultralytics/utils/checks.py
def check_file(file, suffix="", download=True, hard=True):
    """Search/download file (if necessary) and return path."""
    check_suffix(file, suffix)  # optional
    file = str(file).strip()  # convert to string and strip spaces
    file = check_yolov5u_filename(file)  # yolov5n -> yolov5nu
    if (
        not file
        or ("://" not in file and Path(file).exists())  # '://' check required in Windows Python<3.10
        or file.lower().startswith("grpc://")
    ):  # file exists or gRPC Triton images
        return file
    elif download and file.lower().startswith(("https://", "http://", "rtsp://", "rtmp://", "tcp://")):  # download
        url = file  # warning: Pathlib turns :// -> :/
        file = url2file(file)  # '%2F' to '/', split https://url.com/file.txt?auth
        if Path(file).exists():
            LOGGER.info(f"Found {clean_url(url)} locally at {file}")  # file already exists
        else:
            downloads.safe_download(url=url, file=file, unzip=False)
        return file
    else:  # search
        files = glob.glob(str(ROOT / "cfg" / "**" / file), recursive=True)  # find file
        if not files and hard:
            raise FileNotFoundError(f"'{file}' does not exist")
        elif len(files) > 1 and hard:
            raise FileNotFoundError(f"Multiple files match '{file}', specify exact path: {files}")
        return files[0] if len(files) else []  # return file



ultralytics.utils.checks.check_yaml(file, suffix=('.yaml', '.yml'), hard=True)

Recherche/t茅l茅charge le fichier YAML (si n茅cessaire) et renvoie le chemin, en v茅rifiant le suffixe.

Code source dans ultralytics/utils/checks.py
def check_yaml(file, suffix=(".yaml", ".yml"), hard=True):
    """Search/download YAML file (if necessary) and return path, checking suffix."""
    return check_file(file, suffix, hard=hard)



ultralytics.utils.checks.check_is_path_safe(basedir, path)

V茅rifie que le chemin r茅solu se trouve sous le r茅pertoire pr茅vu pour 茅viter la travers茅e du chemin.

Param猫tres :

Nom Type Description D茅faut
basedir Path | str

Le r茅pertoire pr茅vu.

requis
path Path | str

Le chemin 脿 parcourir pour v茅rifier.

requis

Retourne :

Type Description
bool

Vrai si le chemin est s没r, Faux sinon.

Code source dans ultralytics/utils/checks.py
def check_is_path_safe(basedir, path):
    """
    Check if the resolved path is under the intended directory to prevent path traversal.

    Args:
        basedir (Path | str): The intended directory.
        path (Path | str): The path to check.

    Returns:
        (bool): True if the path is safe, False otherwise.
    """
    base_dir_resolved = Path(basedir).resolve()
    path_resolved = Path(path).resolve()

    return path_resolved.is_file() and path_resolved.parts[: len(base_dir_resolved.parts)] == base_dir_resolved.parts



ultralytics.utils.checks.check_imshow(warn=False)

V茅rifie si l'environnement prend en charge l'affichage d'images.

Code source dans ultralytics/utils/checks.py
def check_imshow(warn=False):
    """Check if environment supports image displays."""
    try:
        if LINUX:
            assert "DISPLAY" in os.environ and not is_docker() and not is_colab() and not is_kaggle()
        cv2.imshow("test", np.zeros((8, 8, 3), dtype=np.uint8))  # show a small 8-pixel image
        cv2.waitKey(1)
        cv2.destroyAllWindows()
        cv2.waitKey(1)
        return True
    except Exception as e:
        if warn:
            LOGGER.warning(f"WARNING 鈿狅笍 Environment does not support cv2.imshow() or PIL Image.show()\n{e}")
        return False



ultralytics.utils.checks.check_yolo(verbose=True, device='')

Renvoie un r茅sum茅 du logiciel et du mat茅riel lisible par l'homme 脿 l'adresse YOLO .

Code source dans ultralytics/utils/checks.py
def check_yolo(verbose=True, device=""):
    """Return a human-readable YOLO software and hardware summary."""
    import psutil

    from ultralytics.utils.torch_utils import select_device

    if is_jupyter():
        if check_requirements("wandb", install=False):
            os.system("pip uninstall -y wandb")  # uninstall wandb: unwanted account creation prompt with infinite hang
        if is_colab():
            shutil.rmtree("sample_data", ignore_errors=True)  # remove colab /sample_data directory

    if verbose:
        # System info
        gib = 1 << 30  # bytes per GiB
        ram = psutil.virtual_memory().total
        total, used, free = shutil.disk_usage("/")
        s = f"({os.cpu_count()} CPUs, {ram / gib:.1f} GB RAM, {(total - free) / gib:.1f}/{total / gib:.1f} GB disk)"
        with contextlib.suppress(Exception):  # clear display if ipython is installed
            from IPython import display

            display.clear_output()
    else:
        s = ""

    select_device(device=device, newline=False)
    LOGGER.info(f"Setup complete 鉁 {s}")



ultralytics.utils.checks.collect_system_info()

Recueille et imprime les informations pertinentes sur le syst猫me, notamment le syst猫me d'exploitation, Python, la m茅moire vive, le processeur et CUDA.

Code source dans ultralytics/utils/checks.py
def collect_system_info():
    """Collect and print relevant system information including OS, Python, RAM, CPU, and CUDA."""

    import psutil

    from ultralytics.utils import ENVIRONMENT, is_git_dir
    from ultralytics.utils.torch_utils import get_cpu_info

    ram_info = psutil.virtual_memory().total / (1024**3)  # Convert bytes to GB
    check_yolo()
    LOGGER.info(
        f"\n{'OS':<20}{platform.platform()}\n"
        f"{'Environment':<20}{ENVIRONMENT}\n"
        f"{'Python':<20}{PYTHON_VERSION}\n"
        f"{'Install':<20}{'git' if is_git_dir() else 'pip' if is_pip_package() else 'other'}\n"
        f"{'RAM':<20}{ram_info:.2f} GB\n"
        f"{'CPU':<20}{get_cpu_info()}\n"
        f"{'CUDA':<20}{torch.version.cuda if torch and torch.cuda.is_available() else None}\n"
    )

    for r in parse_requirements(package="ultralytics"):
        try:
            current = metadata.version(r.name)
            is_met = "鉁 " if check_version(current, str(r.specifier), hard=True) else "鉂 "
        except metadata.PackageNotFoundError:
            current = "(not installed)"
            is_met = "鉂 "
        LOGGER.info(f"{r.name:<20}{is_met}{current}{r.specifier}")

    if is_github_action_running():
        LOGGER.info(
            f"\nRUNNER_OS: {os.getenv('RUNNER_OS')}\n"
            f"GITHUB_EVENT_NAME: {os.getenv('GITHUB_EVENT_NAME')}\n"
            f"GITHUB_WORKFLOW: {os.getenv('GITHUB_WORKFLOW')}\n"
            f"GITHUB_ACTOR: {os.getenv('GITHUB_ACTOR')}\n"
            f"GITHUB_REPOSITORY: {os.getenv('GITHUB_REPOSITORY')}\n"
            f"GITHUB_REPOSITORY_OWNER: {os.getenv('GITHUB_REPOSITORY_OWNER')}\n"
        )



ultralytics.utils.checks.check_amp(model)

Cette fonction v茅rifie la fonctionnalit茅 PyTorch Automatic Mixed Precision (AMP) d'un mod猫le YOLOv8 . Si les v茅rifications 茅chouent, cela signifie qu'il y a des anomalies avec AMP sur le syst猫me qui peuvent causer des pertes NaN ou des r茅sultats z茅ro-mAP, donc AMP sera d茅sactiv茅 pendant la formation. sera donc d茅sactiv茅e pendant la formation.

Param猫tres :

Nom Type Description D茅faut
model Module

Une instance du mod猫le YOLOv8 .

requis
Exemple
from ultralytics import YOLO
from ultralytics.utils.checks import check_amp

model = YOLO('yolov8n.pt').model.cuda()
check_amp(model)

Retourne :

Type Description
bool

Renvoie True si la fonctionnalit茅 AMP fonctionne correctement avec le mod猫le YOLOv8 , sinon False.

Code source dans ultralytics/utils/checks.py
def check_amp(model):
    """
    This function checks the PyTorch Automatic Mixed Precision (AMP) functionality of a YOLOv8 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 (nn.Module): A YOLOv8 model instance.

    Example:
        ```python
        from ultralytics import YOLO
        from ultralytics.utils.checks import check_amp

        model = YOLO('yolov8n.pt').model.cuda()
        check_amp(model)
        ```

    Returns:
        (bool): Returns True if the AMP functionality works correctly with YOLOv8 model, else False.
    """
    device = next(model.parameters()).device  # get model device
    if device.type in ("cpu", "mps"):
        return False  # AMP only used on CUDA devices

    def amp_allclose(m, im):
        """All close FP32 vs AMP results."""
        a = m(im, device=device, verbose=False)[0].boxes.data  # FP32 inference
        with torch.cuda.amp.autocast(True):
            b = m(im, device=device, verbose=False)[0].boxes.data  # AMP inference
        del m
        return a.shape == b.shape and torch.allclose(a, b.float(), atol=0.5)  # close to 0.5 absolute tolerance

    im = ASSETS / "bus.jpg"  # image to check
    prefix = colorstr("AMP: ")
    LOGGER.info(f"{prefix}running Automatic Mixed Precision (AMP) checks with YOLOv8n...")
    warning_msg = "Setting 'amp=True'. If you experience zero-mAP or NaN losses you can disable AMP with amp=False."
    try:
        from ultralytics import YOLO

        assert amp_allclose(YOLO("yolov8n.pt"), im)
        LOGGER.info(f"{prefix}checks passed 鉁")
    except ConnectionError:
        LOGGER.warning(f"{prefix}checks skipped 鈿狅笍, offline and unable to download YOLOv8n. {warning_msg}")
    except (AttributeError, ModuleNotFoundError):
        LOGGER.warning(
            f"{prefix}checks skipped 鈿狅笍. "
            f"Unable to load YOLOv8n due to possible Ultralytics package modifications. {warning_msg}"
        )
    except AssertionError:
        LOGGER.warning(
            f"{prefix}checks failed 鉂. Anomalies were detected with AMP on your system that may lead to "
            f"NaN losses or zero-mAP results, so AMP will be disabled during training."
        )
        return False
    return True



ultralytics.utils.checks.git_describe(path=ROOT)

Retourne une description git lisible par l'homme, c'est-脿-dire v5.0-5-g3e25f1e https://git-scm.com/docs/git-describe.

Code source dans ultralytics/utils/checks.py
def git_describe(path=ROOT):  # path must be a directory
    """Return human-readable git description, i.e. v5.0-5-g3e25f1e https://git-scm.com/docs/git-describe."""
    with contextlib.suppress(Exception):
        return subprocess.check_output(f"git -C {path} describe --tags --long --always", shell=True).decode()[:-1]
    return ""



ultralytics.utils.checks.print_args(args=None, show_file=True, show_func=False)

Imprime les arguments de la fonction (dict d'args optionnel).

Code source dans ultralytics/utils/checks.py
def print_args(args: Optional[dict] = None, show_file=True, show_func=False):
    """Print function arguments (optional args dict)."""

    def strip_auth(v):
        """Clean longer Ultralytics HUB URLs by stripping potential authentication information."""
        return clean_url(v) if (isinstance(v, str) and v.startswith("http") and len(v) > 100) else v

    x = inspect.currentframe().f_back  # previous frame
    file, _, func, _, _ = inspect.getframeinfo(x)
    if args is None:  # get args automatically
        args, _, _, frm = inspect.getargvalues(x)
        args = {k: v for k, v in frm.items() if k in args}
    try:
        file = Path(file).resolve().relative_to(ROOT).with_suffix("")
    except ValueError:
        file = Path(file).stem
    s = (f"{file}: " if show_file else "") + (f"{func}: " if show_func else "")
    LOGGER.info(colorstr(s) + ", ".join(f"{k}={strip_auth(v)}" for k, v in args.items()))



ultralytics.utils.checks.cuda_device_count()

Obtiens le nombre de GPU NVIDIA disponibles dans l'environnement.

Retourne :

Type Description
int

Le nombre de GPU NVIDIA disponibles.

Code source dans ultralytics/utils/checks.py
def cuda_device_count() -> int:
    """
    Get the number of NVIDIA GPUs available in the environment.

    Returns:
        (int): The number of NVIDIA GPUs available.
    """
    try:
        # Run the nvidia-smi command and capture its output
        output = subprocess.check_output(
            ["nvidia-smi", "--query-gpu=count", "--format=csv,noheader,nounits"], encoding="utf-8"
        )

        # Take the first line and strip any leading/trailing white space
        first_line = output.strip().split("\n")[0]

        return int(first_line)
    except (subprocess.CalledProcessError, FileNotFoundError, ValueError):
        # If the command fails, nvidia-smi is not found, or output is not an integer, assume no GPUs are available
        return 0



ultralytics.utils.checks.cuda_is_available()

V茅rifie si CUDA est disponible dans l'environnement.

Retourne :

Type Description
bool

True si un ou plusieurs GPU NVIDIA sont disponibles, False sinon.

Code source dans ultralytics/utils/checks.py
def cuda_is_available() -> bool:
    """
    Check if CUDA is available in the environment.

    Returns:
        (bool): True if one or more NVIDIA GPUs are available, False otherwise.
    """
    return cuda_device_count() > 0





Cr茅茅 le 2023-11-12, Mis 脿 jour le 2023-11-25
Auteurs : glenn-jocher (3), Laughing-q (1)