Added code to only take 30 frames of each trajectory in evaluation

Signed-off-by: Jim Martens <github@2martens.de>

src/twomartens/masterthesis/data.py

@@ -424,8 +424,12 @@ def load_scenenet_data(photo_paths: Sequence[Sequence[str]],
         for image_path, frame_instances in zip(traj_image_paths, traj_instances):
             labels = []
             
+            if training:
                 if not frame_instances:
                     continue  # skip images that do not contain instances
+            elif evaluation:
+                if i >= 30:
+                    continue
             
             for instance in frame_instances:
                 bbox = instance['bbox']