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

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-07-23 15:39:25 +02:00
parent 7f14efcb6a
commit 856aad8e21
1 changed files with 6 additions and 2 deletions
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8
src/twomartens/masterthesis/data.py
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@ -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): for image_path, frame_instances in zip(traj_image_paths, traj_instances):
labels = [] labels = []
if not frame_instances: if training:
continue # skip images that do not contain instances if not frame_instances:
continue # skip images that do not contain instances
elif evaluation:
if i >= 30:
continue
for instance in frame_instances: for instance in frame_instances:
bbox = instance['bbox'] bbox = instance['bbox']