neuralib.deeplabcut.core.DeepLabCutMeta
- class neuralib.deeplabcut.core.DeepLabCutMeta[source]
Bases:
TypedDictDeepLabCut model metadata
- __init__(*args, **kwargs)
Methods
__init__(*args, **kwargs)clear()copy()fromkeys(iterable[, value])Create a new dictionary with keys from iterable and values set to value.
get(key[, default])Return the value for key if key is in the dictionary, else default.
items()keys()pop(k[,d])If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem()Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()Attributes
- start: float
- stop: float
- run_duration: float
- Scorer: str
- model_config: DeepLabCutModelConfig
- fps: float
- batch_size: int
- frame_dimensions: tuple[int, int]
- nframes: int
- iteration: int
- training_set_fraction: float
- cropping: bool
- cropping_parameters: list[tuple[float, float, float, float]]