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参考资料 ultralytics/utils/checks.py

备注

该文件可从https://github.com/ultralytics/ultralytics/blob/main/ ultralytics/utils/checks .py。如果您发现问题,请通过提交 Pull Request🛠️ 帮助修复。谢谢🙏!



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

解析 requirements.txt 文件,忽略以 "#"开头的行和 "#"后面的文本。

参数

名称 类型 说明 默认值
file_path Path

requirements.txt 文件的路径。

parent / 'requirements.txt'
package str

Python 包来代替 requirements.txt 文件,即 package='ultralytics'.

''

返回:

类型 说明
List[Dict[str, str]]

以字典形式显示的已解析需求列表,包含 namespecifier 钥匙

示例
from ultralytics.utils.checks import parse_requirements

parse_requirements(package='ultralytics')
源代码 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')

将版本字符串转换为整数元组,忽略附加在版本上的任何非数字字符串。此 函数取代已废弃的 "pkg_resources.parse_version(v)"。

参数

名称 类型 说明 默认值
version str

版本字符串,即 "2.0.1+cpu

'0.0.0'

返回:

类型 说明
tuple

代表版本数字部分和额外字符串的整数元组,即 (2,0,1)。

源代码 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)

检查字符串是否仅由 ASCII 字符组成。

参数

名称 类型 说明 默认值
s str

要检查的字符串。

所需

返回:

类型 说明
bool

如果字符串仅由 ASCII 字符组成,则为 True,否则为 False。

源代码 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)

验证图像大小在每个维度上都是给定跨距的倍数。如果图像大小不是步长的倍数,则将其更新为大于或等于给定下限值的最接近步长的倍数。 的倍数,则将其更新为大于或等于给定下限值的最接近的跨距倍数。

参数

名称 类型 说明 默认值
imgsz int | cList[int]

图像大小

所需
stride int

跨步值

32
min_dim int

最小尺寸数。

1
max_dim int

最大尺寸数。

2
floor int

图像尺寸的最小允许值。

0

返回:

类型 说明
List[int]

更新图像大小。

源代码 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 ⚠️ 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='')

对照所需版本或范围检查当前版本。

参数

名称 类型 说明 默认值
current str

当前版本或软件包名称。

'0.0.0'
required str

所需的版本或范围(pip-style 格式)。

'0.0.0'
name str

警告信息中使用的名称。

'version'
hard bool

如果为 True,则在未满足要求时引发 AssertionError。

False
verbose bool

如果为 True,则在不符合要求时打印警告信息。

False
msg str

如果冗长,则显示额外信息。

''

返回:

类型 说明
bool

如果满足要求则为 True,否则为 False。

示例
# 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')
源代码 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')

返回 PyPI 软件包的最新版本,无需下载或安装。

参数

名称 类型 说明 默认值
package_name str

要查找最新版本的软件包名称。

'ultralytics'

返回:

类型 说明
str

软件包的最新版本。

源代码 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()

检查 PyPI 上是否有ultralytics 软件包的新版本。

返回:

类型 说明
bool

如果有更新,则为 True,否则为 False。

源代码 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')

查找本地字体或下载到用户的配置目录(如果该目录不存在)。

参数

名称 类型 说明 默认值
font str

字体的路径或名称。

'Arial.ttf'

返回:

名称 类型 说明
file Path

已解决字体文件路径问题。

源代码 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')

对照所需的最低版本,检查当前python 版本。

参数

名称 类型 说明 默认值
minimum str

所需的最低版本为python.

'3.8.0'

返回:

类型 说明
bool

安装的Python 版本是否满足最低限制条件。

源代码 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='')

检查已安装的依赖项是否满足YOLOv8 要求,并在需要时尝试自动更新。

参数

名称 类型 说明 默认值
requirements Union[Path, str, List[str]]

指向 requirements.txt 文件的路径、以字符串形式表示的单个软件包需求,或以字符串形式表示的软件包需求列表。 字符串的单个软件包需求,或字符串形式的软件包需求列表。

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

要排除检查的软件包名称的元组。

()
install bool

如果为 True,则尝试自动更新不符合要求的软件包。

True
cmds str

自动更新时传递给 pip install 命令的附加命令。

''
示例
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'])
源代码 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 ✅ {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()

检查PyTorch 和 Torchvision 的安装版本,确保它们兼容。

该函数将检查PyTorch 和 Torchvision 的安装版本,并在它们不兼容时发出警告。 根据所提供的兼容性表发出不兼容警告: https://github.com/pytorch/vision#installation。

兼容性表是一个字典,其中键是PyTorch 版本,值是兼容的 Torchvision 版本的列表。

源代码 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 ⚠️ 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='')

检查文件是否有可接受的后缀。

源代码 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)

用更新的 YOLOv5u 文件名替换传统的YOLOv5 文件名。

源代码 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')

从有效的模型干返回模型文件名。

源代码 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)

搜索/下载文件(如有必要)并返回路径。

源代码 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)

搜索/下载 YAML 文件(如有必要)并返回路径,检查后缀。

源代码 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)

检查解析的路径是否在目标目录下,以防止路径遍历。

参数

名称 类型 说明 默认值
basedir Path | str

目标目录。

所需
path Path | str

检查路径。

所需

返回:

类型 说明
bool

如果路径安全则为 True,否则为 False。

源代码 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)

检查环境是否支持图像显示。

源代码 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 ⚠️ Environment does not support cv2.imshow() or PIL Image.show()\n{e}")
        return False



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

返回人可读的YOLO 软件和硬件摘要。

源代码 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()

收集并打印相关系统信息,包括操作系统、Python 、内存、CPU 和 CUDA。

源代码 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)

YOLOv8 该功能可检查PyTorch 型号的自动混合精度 (AMP) 功能。如果检查 失败,则表示系统中的 AMP 存在异常,可能导致 NaN 损失或零混合精度结果,因此在训练过程中将禁用 AMP。 在训练过程中将被禁用。

参数

名称 类型 说明 默认值
model Module

YOLOv8 模型实例。

所需
示例
from ultralytics import YOLO
from ultralytics.utils.checks import check_amp

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

返回:

类型 说明
bool

如果 AMP 功能能正确使用YOLOv8 模型,则返回 True,否则返回 False。

源代码 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)

返回人类可读的 git 描述,即 v5.0-5-g3e25f1e https://git-scm.com/docs/git-describe。

源代码 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)

打印函数参数(可选 args dict)。

源代码 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()

获取环境中可用的英伟达™(NVIDIA®)GPU 数量。

返回:

类型 说明
int

可用的 NVIDIA GPU 数量。

源代码 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()

检查环境中是否有 CUDA。

返回:

类型 说明
bool

如果有一个或多个英伟达™(NVIDIA®)GPU 可用,则为 True,否则为 False。

源代码 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





创建于 2023-11-12,更新于 2023-11-25
作者:glenn-jocher(3),Laughing-q(1)