Zum Inhalt springen

Referenz fĂŒr ultralytics/utils/checks.py

Hinweis

Diese Datei ist verfĂŒgbar unter https://github.com/ultralytics/ ultralytics/blob/main/ ultralytics/utils/checks .py. Wenn du ein Problem entdeckst, hilf bitte mit, es zu beheben, indem du einen Pull Request đŸ› ïž einreichst. Vielen Dank 🙏!



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

Analysiert die Datei requirements.txt und ignoriert dabei Zeilen, die mit "#" beginnen, sowie jeden Text nach "#".

Parameter:

Name Typ Beschreibung Standard
file_path Path

Pfad zur Datei requirements.txt.

parent / 'requirements.txt'
package str

Python Paket anstelle der Datei requirements.txt zu verwenden, d.h. package='ultralytics'.

''

Retouren:

Typ Beschreibung
List[Dict[str, str]]

Liste der geparsten Anforderungen als WörterbĂŒcher mit name und specifier Tasten.

Beispiel
from ultralytics.utils.checks import parse_requirements

parse_requirements(package='ultralytics')
Quellcode in 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')

Konvertiert eine Versionszeichenkette in ein Tupel aus ganzen Zahlen und ignoriert dabei alle zusÀtzlichen nicht-numerischen Zeichenfolgen, die an die Version angehÀngt sind. Diese Funktion ersetzt die veraltete Funktion 'pkg_resources.parse_version(v)'.

Parameter:

Name Typ Beschreibung Standard
version str

Versionsstring, z.B. '2.0.1+cpu'

'0.0.0'

Retouren:

Typ Beschreibung
tuple

Tupel aus ganzen Zahlen, die den numerischen Teil der Version und den zusÀtzlichen String darstellen, d.h. (2, 0, 1)

Quellcode in 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 ⚠ failure for parse_version({version}), returning (0, 0, 0): {e}")
        return 0, 0, 0



ultralytics.utils.checks.is_ascii(s)

PrĂŒfe, ob eine Zeichenkette nur aus ASCII-Zeichen besteht.

Parameter:

Name Typ Beschreibung Standard
s str

Zu prĂŒfende Zeichenfolge.

erforderlich

Retouren:

Typ Beschreibung
bool

True, wenn der String nur aus ASCII-Zeichen besteht, sonst False.

Quellcode in 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)

ÜberprĂŒfe, ob die BildgrĂ¶ĂŸe in jeder Dimension ein Vielfaches der angegebenen Schrittweite ist. Wenn die BildgrĂ¶ĂŸe kein Vielfaches der Stride, aktualisiere sie auf das nĂ€chste Vielfache des Stride, das grĂ¶ĂŸer oder gleich dem angegebenen Floor-Wert ist.

Parameter:

Name Typ Beschreibung Standard
imgsz int | cList[int]

BildgrĂ¶ĂŸe.

erforderlich
stride int

Schrittwert.

32
min_dim int

Mindestanzahl der Abmessungen.

1
max_dim int

Maximale Anzahl von Dimensionen.

2
floor int

Minimal zulĂ€ssiger Wert fĂŒr die BildgrĂ¶ĂŸe.

0

Retouren:

Typ Beschreibung
List[int]

Aktualisierte BildgrĂ¶ĂŸe.

Quellcode in 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)
    elif isinstance(imgsz, str):  # i.e. '640' or '[640,640]'
        imgsz = [int(imgsz)] if imgsz.isnumeric() else eval(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 ⚠ 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 ⚠ 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='')

ÜberprĂŒfe die aktuelle Version mit der gewĂŒnschten Version oder dem gewĂŒnschten Bereich.

Parameter:

Name Typ Beschreibung Standard
current str

Aktuelle Version oder Name des Pakets, von dem die Version geholt werden soll.

'0.0.0'
required str

Erforderliche Version oder Bereich (im pip-Ă€hnlichen Format).

'0.0.0'
name str

Name, der in der Warnmeldung verwendet werden soll.

'version'
hard bool

Wenn True, wird ein AssertionError ausgelöst, wenn die Anforderung nicht erfĂŒllt ist.

False
verbose bool

Wenn True, wird eine Warnmeldung ausgegeben, wenn die Anforderung nicht erfĂŒllt ist.

False
msg str

ZusĂ€tzliche Meldung, die angezeigt wird, wenn sie ausfĂŒhrlich ist.

''

Retouren:

Typ Beschreibung
bool

True, wenn die Anforderung erfĂŒllt ist, sonst False.

Beispiel
# 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')
Quellcode in 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 ⚠ 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 ⚠ {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 ⚠ {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')

Gibt die neueste Version eines PyPI-Pakets zurĂŒck, ohne es herunterzuladen oder zu installieren.

Parameter:

Name Typ Beschreibung Standard
package_name str

Der Name des Pakets, fĂŒr das du die neueste Version suchst.

'ultralytics'

Retouren:

Typ Beschreibung
str

Die neueste Version des Pakets.

Quellcode in 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()

ÜberprĂŒft, ob eine neue Version des Pakets ultralytics auf PyPI verfĂŒgbar ist.

Retouren:

Typ Beschreibung
bool

True, wenn ein Update verfĂŒgbar ist, sonst False.

Quellcode in 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 😃 "
                    f"Update with 'pip install -U ultralytics'"
                )
                return True
    return False



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

Finde die Schrift lokal oder lade sie in das Konfigurationsverzeichnis des Benutzers herunter, wenn sie noch nicht vorhanden ist.

Parameter:

Name Typ Beschreibung Standard
font str

Pfad oder Name der Schriftart.

'Arial.ttf'

Retouren:

Name Typ Beschreibung
file Path

Pfad der Schriftartdatei aufgelöst.

Quellcode in 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.
    """
    from matplotlib import font_manager

    # Check USER_CONFIG_DIR
    name = Path(font).name
    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, check=True):
        downloads.safe_download(url=url, file=file)
        return file



ultralytics.utils.checks.check_python(minimum='3.8.0', hard=True)

ÜberprĂŒfe die aktuelle python Version mit der erforderlichen Mindestversion.

Parameter:

Name Typ Beschreibung Standard
minimum str

Erforderliche Mindestversion von python.

'3.8.0'
hard bool

Wenn True, wird ein AssertionError ausgelöst, wenn die Anforderung nicht erfĂŒllt ist.

True

Retouren:

Typ Beschreibung
bool

Ob die installierte Version von Python die Mindestanforderungen erfĂŒllt.

Quellcode in ultralytics/utils/checks.py
def check_python(minimum: str = "3.8.0", hard: bool = True) -> bool:
    """
    Check current python version against the required minimum version.

    Args:
        minimum (str): Required minimum version of python.
        hard (bool, optional): If True, raise an AssertionError if the requirement is not met.

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



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

ÜberprĂŒfe, ob die installierten AbhĂ€ngigkeiten die Anforderungen von YOLOv8 erfĂŒllen und versuche, bei Bedarf ein automatisches Update durchzufĂŒhren.

Parameter:

Name Typ Beschreibung Standard
requirements Union[Path, str, List[str]]

Pfad zu einer requirements.txt-Datei, eine einzelne Paketanforderung als String oder eine Liste von Paketanforderungen als Strings.

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

Tupel von Paketnamen, die von der PrĂŒfung ausgeschlossen werden sollen.

()
install bool

Wenn True, wird versucht, Pakete, die die Anforderungen nicht erfĂŒllen, automatisch zu aktualisieren.

True
cmds str

ZusĂ€tzliche Befehle, die bei der automatischen Aktualisierung an den Befehl pip install ĂŒbergeben werden.

''
Beispiel
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'])
Quellcode in 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)

    @Retry(times=2, delay=1)
    def attempt_install(packages, commands):
        """Attempt pip install command with retries on failure."""
        return subprocess.check_output(f"pip install --no-cache-dir {packages} {commands}", shell=True).decode()

    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 ONLINE, "AutoUpdate skipped (offline)"
                LOGGER.info(attempt_install(s, cmds))
                dt = time.time() - t
                LOGGER.info(
                    f"{prefix} AutoUpdate success ✅ {dt:.1f}s, installed {n} package{'s' * (n > 1)}: {pkgs}\n"
                    f"{prefix} ⚠ {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()

ÜberprĂŒft die installierten Versionen von PyTorch und Torchvision, um sicherzustellen, dass sie kompatibel sind.

Diese Funktion ĂŒberprĂŒft die installierten Versionen von PyTorch und Torchvision und warnt, wenn sie nicht kompatibel sind. der bereitgestellten KompatibilitĂ€tstabelle, die auf https://github.com/pytorch/vision#installation.

Die KompatibilitĂ€tstabelle ist ein Wörterbuch, in dem die SchlĂŒssel PyTorch Versionen und die Werte Listen von kompatiblen Torchvision-Versionen sind.

Quellcode in 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.
    """

    # Compatibility table
    compatibility_table = {
        "2.3": ["0.18"],
        "2.2": ["0.17"],
        "2.1": ["0.16"],
        "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])
    if v_torch in compatibility_table:
        compatible_versions = compatibility_table[v_torch]
        v_torchvision = ".".join(TORCHVISION_VERSION.split("+")[0].split(".")[:2])
        if all(v_torchvision != v for v in compatible_versions):
            print(
                f"WARNING ⚠ 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='')

ÜberprĂŒfe die Datei(en) auf akzeptable Suffixe.

Quellcode in 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)

Ersetze die alten YOLOv5 Dateinamen durch aktualisierte YOLOv5u Dateinamen.

Quellcode in 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 💡 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')

Gibt einen Modell-Dateinamen aus einem gĂŒltigen Modellstamm zurĂŒck.

Quellcode in 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)

Datei suchen/herunterladen (falls nötig) und Pfad zurĂŒckgeben.

Quellcode in 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 / "**" / file), recursive=True) or glob.glob(str(ROOT.parent / file))  # 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)

YAML-Datei suchen/herunterladen (falls nötig) und Pfad zurĂŒckgeben, Suffix prĂŒfen.

Quellcode in 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)

ÜberprĂŒfe, ob der aufgelöste Pfad unter dem beabsichtigten Verzeichnis liegt, um eine Pfadumgehung zu verhindern.

Parameter:

Name Typ Beschreibung Standard
basedir Path | str

Das gewĂŒnschte Verzeichnis.

erforderlich
path Path | str

Der Weg zur Kontrolle.

erforderlich

Retouren:

Typ Beschreibung
bool

True, wenn der Pfad sicher ist, sonst False.

Quellcode in 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.exists() and path_resolved.parts[: len(base_dir_resolved.parts)] == base_dir_resolved.parts



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

PrĂŒfe, ob die Umgebung Bildanzeigen unterstĂŒtzt.

Quellcode in ultralytics/utils/checks.py
def check_imshow(warn=False):
    """Check if environment supports image displays."""
    try:
        if LINUX:
            assert not IS_COLAB and not IS_KAGGLE
            assert "DISPLAY" in os.environ, "The DISPLAY environment variable isn't set."
        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 ⚠ Environment does not support cv2.imshow() or PIL Image.show()\n{e}")
        return False



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

Gib eine menschenlesbare YOLO Software- und Hardware-Zusammenfassung zurĂŒck.

Quellcode in 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 ✅ {s}")



ultralytics.utils.checks.collect_system_info()

Erfasse und drucke relevante Systeminformationen wie Betriebssystem, Python, RAM, CPU und CUDA.

Quellcode in 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 = "✅ " if check_version(current, str(r.specifier), hard=True) else "❌ "
        except metadata.PackageNotFoundError:
            current = "(not installed)"
            is_met = "❌ "
        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)

Diese Funktion ĂŒberprĂŒft die PyTorch Automatic Mixed Precision (AMP) FunktionalitĂ€t eines YOLOv8 Modells. Wenn die PrĂŒfungen fehlschlĂ€gt, bedeutet das, dass es Anomalien mit AMP im System gibt, die zu NaN-Verlusten oder Null-MAP-Ergebnissen fĂŒhren können, sodass AMP wĂ€hrend des Trainings deaktiviert werden.

Parameter:

Name Typ Beschreibung Standard
model Module

Eine YOLOv8 Modellinstanz.

erforderlich
Beispiel
from ultralytics import YOLO
from ultralytics.utils.checks import check_amp

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

Retouren:

Typ Beschreibung
bool

Gibt True zurĂŒck, wenn die AMP-FunktionalitĂ€t korrekt mit dem YOLOv8 Modell funktioniert, sonst False.

Quellcode in 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 ✅")
    except ConnectionError:
        LOGGER.warning(f"{prefix}checks skipped ⚠, offline and unable to download YOLOv8n. {warning_msg}")
    except (AttributeError, ModuleNotFoundError):
        LOGGER.warning(
            f"{prefix}checks skipped ⚠. "
            f"Unable to load YOLOv8n due to possible Ultralytics package modifications. {warning_msg}"
        )
    except AssertionError:
        LOGGER.warning(
            f"{prefix}checks failed ❌. 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)

Liefert eine menschenlesbare Git-Beschreibung, z.B. v5.0-5-g3e25f1e https://git-scm.com/docs/git-describe.

Quellcode in 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)

Funktionsargumente ausgeben (optionales args-Diktat).

Quellcode in 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()

Ermittelt die Anzahl der in der Umgebung verfĂŒgbaren NVIDIA-GPUs.

Retouren:

Typ Beschreibung
int

Die Anzahl der verfĂŒgbaren NVIDIA-GPUs.

Quellcode in 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()

PrĂŒfe, ob CUDA in deiner Umgebung verfĂŒgbar ist.

Retouren:

Typ Beschreibung
bool

True, wenn ein oder mehrere NVIDIA-GPUs verfĂŒgbar sind, sonst False.

Quellcode in 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





Created 2023-11-12, Updated 2024-06-02
Authors: glenn-jocher (5), Burhan-Q (1), Laughing-q (1)