dgs.models.dataset.posetrack21.PoseTrack21_ImageHistory

class dgs.models.dataset.posetrack21.PoseTrack21_ImageHistory(*args: Any, **kwargs: Any)

A PoseTrack21 dataset that creates combined states from a current state and its history.

__init__(config: dict[str, any], path: list[str])

Methods

arbitrary_to_ds(a, idx)	Convert raw PoseTrack21 annotations to a list of State objects.
configure_torch_module(module[, train])	Set compute mode and send model to the device or multiple parallel devices if applicable.
get_image_crops(ds)	Add the image crops and local key-points to a given state.
get_path_in_dataset(path)	Given an arbitrary file- or directory-path, return its absolute path.
terminate()	Terminate this module and all of its submodules.
transform_crop_resize()	Given one single image, with its corresponding bounding boxes and key-points, obtain a cropped image for every bounding box with localized key-points.
transform_resize_image()	Given an image, bboxes, and key-points, resize them with custom modes.
validate_params(validations[, attrib_name])	Given per key validations, validate this module's parameters.

Attributes

bbox_format	The format of the bounding boxes.
device	Get the device of this module.
is_training	Get whether this module is set to training-mode.
module_name	Get the name of the module.
module_type
name	Get the name of the module.
name_safe	Get the escaped name of the module usable in filepaths by replacing spaces and underscores.
nof_kps	The number of key points.
precision	Get the (floating point) precision used in multiple parts of this module.
skeleton_name	The format of the skeleton.
data	A dict mapping the
annos
L
img_shape	The size of the images in the dataset.
dataset_path	The base path to the dataset.