Add edges to analysis h5 (#707)

* Add edge names and edge indices to analysis h5

* Add test for node names and edge names in analysis h5 export

sleap/info/write_tracking_h5.py

@@ -37,6 +37,14 @@ def get_nodes_as_np_strings(labels: Labels) -> List[np.string_]:
     return [np.string_(node.name) for node in labels.skeletons[0].nodes]
 
 
+def get_edges_as_np_strings(labels: Labels) -> List[Tuple[np.string_, np.string_]]:
+    """Get list of edge names as `np.string_`."""
+    return [
+        (np.string_(src_name), np.string_(dst_name))
+        for (src_name, dst_name) in labels.skeletons[0].edge_names
+    ]
+
+
 def get_occupancy_and_points_matrices(
     labels: Labels, all_frames: bool
 ) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndarray]:
@@ -252,6 +260,8 @@ def main(labels: Labels, output_path: str, all_frames: bool = True):
     data_dict = dict(
         track_names=track_names,
         node_names=get_nodes_as_np_strings(labels),
+        edge_names=get_edges_as_np_strings(labels),
+        edge_inds=labels.skeletons[0].edge_inds,
         tracks=locations_matrix,
         track_occupancy=occupancy_matrix,
         point_scores=point_scores,

tests/info/test_h5.py

@@ -8,15 +8,52 @@
     get_occupancy_and_points_matrices,
     remove_empty_tracks_from_matrices,
     write_occupancy_file,
+    get_nodes_as_np_strings,
+    get_edges_as_np_strings,
 )
+from sleap.io.dataset import Labels
 
 
-def test_output_matrices(centered_pair_predictions):
+def test_output_matrices(centered_pair_predictions: Labels):
 
     names = get_tracks_as_np_strings(centered_pair_predictions)
     assert len(names) == 27
     assert isinstance(names[0], np.string_)
 
+    # Check that node names and edges are read correctly
+    node_names = [
+        n.decode() for n in get_nodes_as_np_strings(centered_pair_predictions)
+    ]
+    edge_names = [
+        (s.decode(), d.decode())
+        for (s, d) in get_edges_as_np_strings(centered_pair_predictions)
+    ]
+
+    assert node_names[0] == "head"
+    assert node_names[1] == "neck"
+    assert node_names[2] == "thorax"
+    assert node_names[3] == "abdomen"
+    assert node_names[4] == "wingL"
+    assert node_names[5] == "wingR"
+    assert node_names[6] == "forelegL1"
+    assert node_names[7] == "forelegL2"
+    assert node_names[8] == "forelegL3"
+    assert node_names[9] == "forelegR1"
+    assert node_names[10] == "forelegR2"
+    assert node_names[11] == "forelegR3"
+    assert node_names[12] == "midlegL1"
+    assert node_names[13] == "midlegL2"
+    assert node_names[14] == "midlegL3"
+    assert node_names[15] == "midlegR1"
+    assert node_names[16] == "midlegR2"
+    assert node_names[17] == "midlegR3"
+
+    # Both lines check edge_names are read correctly, but latter is used in bento plugin
+    assert edge_names == centered_pair_predictions.skeleton.edge_names
+    for (src_node, dst_node) in edge_names:
+        assert src_node in node_names
+        assert dst_node in node_names
+
     # Remove the first labeled frame
     del centered_pair_predictions[0]
     assert len(centered_pair_predictions) == 1099