↓ 1 callersFunctionbenchmark(
*,
data_root: str,
dataset_name: str,
model,
ensemble_size: int = 5,
get_annotation_
scripts/myriad_eval/openset_prediction.py:398
↓ 1 callersFunctionget_annotated_video(*, data_root: Path, row, get_extra_query_pts, override_cache = False, **kwargs)
scripts/myriad_eval/openset_prediction.py:320
↓ 1 callersFunctionload_mp4(
data,
min_sequence_length=0,
select_args={},
augment_args={},
frame_skip=0,
max_sequ
scripts/data/track_shard.py:70
↓ 1 callersFunctionmain(
data_root: Path,
ckpt_path: Path,
dataset_name: str,
out_path: Path,
ensemble_size: int,
scripts/myriad_eval/openset_prediction.py:461
↓ 1 callersFunctionmyriad_predict_function_with_past_cond(row, model: MyriadStepByStep, ensemble_size, gt_tracks, traj_kind, dt_scaling_factor, context_length=1, **kwa
scripts/myriad_eval/openset_prediction.py:71
↓ 1 callersFunctionpaint_point_trackConverts a sequence of points to color code video. Args: frames: [num_frames, height, width, 3], np.uint8, [0, 255] point_tracks: [num
scripts/data/test_shard.py:125