Tweak to have more trajectories to train from
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2 changed files with 5 additions and 5 deletions
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@ -5,9 +5,9 @@
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"learning_rate": 0.01,
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"learning_rate": 0.01,
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"min_learning_rate": 1e-05,
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"min_learning_rate": 1e-05,
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"learning_decay_rate": 0.9999,
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"learning_decay_rate": 0.9999,
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"prediction_horizon": 50,
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"prediction_horizon": 30,
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"minimum_history_length": 10,
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"minimum_history_length": 5,
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"maximum_history_length": 80,
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"maximum_history_length": 50,
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"map_encoder": {
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"map_encoder": {
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"PEDESTRIAN": {
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"PEDESTRIAN": {
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"heading_state_index": [2, 3],
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"heading_state_index": [2, 3],
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@ -74,7 +74,7 @@
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"dynamic": {
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"dynamic": {
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"PEDESTRIAN": {
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"PEDESTRIAN": {
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"name": "SingleIntegrator",
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"name": "SingleIntegrator",
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"distribution": false,
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"distribution": true,
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"limits": {}
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"limits": {}
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}
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}
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},
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},
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@ -145,7 +145,7 @@ def process_data(src_dir: Path, dst_dir: Path, name: str, smooth_tracks: bool, c
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print(max_frame_nr)
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print(max_frame_nr)
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# separate call so cursor is kept during multiple loops
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# separate call so cursor is kept during multiple loops
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seed(123)
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# seed(123)
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shuffle(tracks)
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shuffle(tracks)
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dt1 = RollingAverage()
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dt1 = RollingAverage()
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