Speed up pair creation and matching.

scripts/test_skelda_dataset.py

@@ -319,6 +319,7 @@ def main():
     all_ids = []
     all_paths = []
     times = []
+    last_poses_3d = np.array([])
     for label in tqdm.tqdm(labels):
         images_2d = []
 
@@ -377,7 +378,7 @@ def main():
             poses2D = np.zeros([len(images_2d), 1, len(joint_names_3d), 3])
         else:
             poses3D = triangulate_poses.get_3d_pose(
-                poses_2d, label["cameras"], roomparams, joint_names_2d, minscore
+                poses_2d, label["cameras"], roomparams, joint_names_2d, last_poses_3d, minscore
             )
             poses2D = []
             for cam in label["cameras"]:
@@ -392,6 +393,7 @@ def main():
                 drop_few_limbs=(dataset_use != "mvor"),
             )
             poses3D = add_missing_joints(poses3D, joint_names_3d)
+        last_poses_3d = poses3D
 
         time_3d = time.time() - start
         print("3D time:", time_3d)