Some small updates.

scripts/test_skelda_dataset.py

@@ -320,9 +320,15 @@ def main():
     all_paths = []
     times = []
     last_poses_3d = np.array([])
+    old_scene = ""
     for label in tqdm.tqdm(labels):
         images_2d = []
 
+        if old_scene != label.get("scene", ""):
+            # Reset last poses if scene changes
+            old_scene = label.get("scene", "")
+            last_poses_3d = np.array([])
+
         try:
             start = time.time()
             for i in range(len(label["imgpaths"])):
@@ -361,7 +367,7 @@ def main():
         minscores = {
             # Choose this depending on the fraction of invalid/missing persons
             # A higher value reduces the number of proposals
-            "panoptic": 0.95,
+            "panoptic": 0.94,
             "human36m": 0.94,
             "mvor": 0.86,
             "campus": 0.96,