Python collections.AttrDict方法代码示例

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def get_coco_dataset():
    """A dummy COCO dataset that includes only the 'classes' field."""
    ds = AttrDict()
    classes = [
        '__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane',
        'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant',
        'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse',
        'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack',
        'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis',
        'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove',
        'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass',
        'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich',
        'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake',
        'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv',
        'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave',
        'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase',
        'scissors', 'teddy bear', 'hair drier', 'toothbrush'
    ]
    ds.classes = {i: name for i, name in enumerate(classes)}
    return ds 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def merge_cfg_from_file(cfg_filename):
    """Load a yaml config file and merge it into the global config."""
    with open(cfg_filename, 'r') as f:
        yaml_cfg = AttrDict(yaml.load(f))
    _merge_a_into_b(yaml_cfg, __C) 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def _merge_a_into_b(a, b, stack=None):
    """Merge config dictionary a into config dictionary b, clobbering the
    options in b whenever they are also specified in a.
    """
    assert isinstance(a, AttrDict), 'Argument `a` must be an AttrDict'
    assert isinstance(b, AttrDict), 'Argument `b` must be an AttrDict'

    for k, v_ in a.items():
        full_key = '.'.join(stack) + '.' + k if stack is not None else k
        # a must specify keys that are in b
        if k not in b:
            raise KeyError('Non-existent config key: {}'.format(full_key))

        v = copy.deepcopy(v_)
        v = _decode_cfg_value(v)
        v = _check_and_coerce_cfg_value_type(v, b[k], k, full_key)

        # Recursively merge dicts
        if isinstance(v, AttrDict):
            try:
                stack_push = [k] if stack is None else stack + [k]
                _merge_a_into_b(v, b[k], stack=stack_push)
            except BaseException:
                raise
        else:
            b[k] = v 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def _decode_cfg_value(v):
    """Decodes a raw config value (e.g., from a yaml config files or command
    line argument) into a Python object.
    """
    # Configs parsed from raw yaml will contain dictionary keys that need to be
    # converted to AttrDict objects
    if isinstance(v, dict):
        return AttrDict(v)
    # All remaining processing is only applied to strings
    if not isinstance(v, str):
        return v
    # Try to interpret `v` as a:
    #   string, number, tuple, list, dict, boolean, or None
    try:
        v = literal_eval(v)
    # The following two excepts allow v to pass through when it represents a
    # string.
    #
    # Longer explanation:
    # The type of v is always a string (before calling literal_eval), but
    # sometimes it *represents* a string and other times a data structure, like
    # a list. In the case that v represents a string, what we got back from the
    # yaml parser is 'foo' *without quotes* (so, not '"foo"'). literal_eval is
    # ok with '"foo"', but will raise a ValueError if given 'foo'. In other
    # cases, like paths (v = 'foo/bar' and not v = '"foo/bar"'), literal_eval
    # will raise a SyntaxError.
    except ValueError:
        pass
    except SyntaxError:
        pass
    return v 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def _merge_a_into_b(a, b, stack=None):
    """Merge config dictionary a into config dictionary b, clobbering the
    options in b whenever they are also specified in a.
    """
    assert isinstance(a, AttrDict), 'Argument `a` must be an AttrDict'
    assert isinstance(b, AttrDict), 'Argument `b` must be an AttrDict'

    for k, v_ in a.items():
        full_key = '.'.join(stack) + '.' + k if stack is not None else k
        # a must specify keys that are in b
        if k not in b:
            # if _key_is_deprecated(full_key):
            #     continue
            # elif _key_is_renamed(full_key):
            #     _raise_key_rename_error(full_key)
            # else:
            raise KeyError('Non-existent config key: {}'.format(full_key))

        v = copy.deepcopy(v_)
        v = _decode_cfg_value(v)
        v = _check_and_coerce_cfg_value_type(v, b[k], k, full_key)

        # Recursively merge dicts
        if isinstance(v, AttrDict):
            try:
                stack_push = [k] if stack is None else stack + [k]
                _merge_a_into_b(v, b[k], stack=stack_push)
            except BaseException:
                raise
        else:
            b[k] = v 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def _decode_cfg_value(v):
    """Decodes a raw config value (e.g., from a yaml config files or command
    line argument) into a Python object.
    """
    # Configs parsed from raw yaml will contain dictionary keys that need to be
    # converted to AttrDict objects
    if isinstance(v, dict):
        return AttrDict(v)
    # All remaining processing is only applied to strings
    if not isinstance(v, six.string_types):
        return v
    # Try to interpret `v` as a:
    #   string, number, tuple, list, dict, boolean, or None
    try:
        v = literal_eval(v)
    # The following two excepts allow v to pass through when it represents a
    # string.
    #
    # Longer explanation:
    # The type of v is always a string (before calling literal_eval), but
    # sometimes it *represents* a string and other times a data structure, like
    # a list. In the case that v represents a string, what we got back from the
    # yaml parser is 'foo' *without quotes* (so, not '"foo"'). literal_eval is
    # ok with '"foo"', but will raise a ValueError if given 'foo'. In other
    # cases, like paths (v = 'foo/bar' and not v = '"foo/bar"'), literal_eval
    # will raise a SyntaxError.
    except ValueError:
        pass
    except SyntaxError:
        pass
    return v 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def merge_dicts(dict_a, dict_b):
    from ast import literal_eval
    for key, value in dict_a.items():
        if key not in dict_b:
            raise KeyError('Invalid key in config file: {}'.format(key))
        if type(value) is dict:
            dict_a[key] = value = AttrDict(value)
        if isinstance(value, str):
            try:
                value = literal_eval(value)
            except BaseException:
                pass
        # The types must match, too.
        old_type = type(dict_b[key])
        if old_type is not type(value) and value is not None:
                raise ValueError(
                    'Type mismatch ({} vs. {}) for config key: {}'.format(
                        type(dict_b[key]), type(value), key)
                )
        # Recursively merge dicts.
        if isinstance(value, AttrDict):
            try:
                merge_dicts(dict_a[key], dict_b[key])
            except BaseException:
                raise Exception('Error under config key: {}'.format(key))
        else:
            dict_b[key] = value 

# 需要导入模块: from utils import collections [as 别名]
# 或者: from utils.collections import AttrDict [as 别名]
def cfg_from_file(filename):
    """Load a config file and merge it into the default options."""
    import yaml
    with open(filename, 'r') as fopen:
        yaml_config = AttrDict(yaml.load(fopen))
    merge_dicts(yaml_config, __C)