neuralib.facemap.core.KeyPointsMeta

class neuralib.facemap.core.KeyPointsMeta

Bases: TypedDict

Keypoint meta .. seealso:: https://facemap.readthedocs.io/en/stable/outputs.html#keypoints-processing

__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

batch_size
image_size
bbox
total_frames
bodyparts
inference_speed

batch_size: int

image_size: tuple[list[int], ...]

bbox: tuple[int, ...]

total_frames: int

bodyparts: list[str]

inference_speed: float