Method empty

deeplabcut/core/inferenceutils.py:283–329

(
        cls,
        max_n_individuals,
        n_multibodyparts,
        n_uniquebodyparts,
        graph,
        paf_inds,
        greedy=False,
        pcutoff=0.1,
        min_affinity=0.05,
        min_n_links=2,
        max_overlap=0.8,
        identity_only=False,
        nan_policy="little",
        force_fusion=False,
        add_discarded=False,
        window_size=0,
        method="m1",
    )

    @classmethod
    def empty(
        cls,
        max_n_individuals,
        n_multibodyparts,
        n_uniquebodyparts,
        graph,
        paf_inds,
        greedy=False,
        pcutoff=0.1,
        min_affinity=0.05,
        min_n_links=2,
        max_overlap=0.8,
        identity_only=False,
        nan_policy="little",
        force_fusion=False,
        add_discarded=False,
        window_size=0,
        method="m1",
    ):
        # Dummy data
        n_bodyparts = n_multibodyparts + n_uniquebodyparts
        data = {
            "metadata": {
                "all_joints_names": ["" for _ in range(n_bodyparts)],
                "PAFgraph": graph,
                "PAFinds": paf_inds,
            },
            "0": {},
        }
        return cls(
            data,
            max_n_individuals=max_n_individuals,
            n_multibodyparts=n_multibodyparts,
            graph=graph,
            paf_inds=paf_inds,
            greedy=greedy,
            pcutoff=pcutoff,
            min_affinity=min_affinity,
            min_n_links=min_n_links,
            max_overlap=max_overlap,
            identity_only=identity_only,
            nan_policy=nan_policy,
            force_fusion=force_fusion,
            add_discarded=add_discarded,
            window_size=window_size,
            method=method,
        )

    @property
    def n_keypoints(self):