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Updating configs
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@ -1,14 +1,3 @@
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datasets:
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train:
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name: example dataset
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description: Only for demonstration purposes
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sources:
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- format: batdetect2
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name: Example Data
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description: Examples included for testing batdetect2
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annotations_dir: example_data/anns
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audio_dir: example_data/audio
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targets:
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classes:
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classes:
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@ -114,9 +103,19 @@ model:
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out_channels: 32
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train:
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batch_size: 8
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learning_rate: 0.001
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t_max: 100
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dataloaders:
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train:
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batch_size: 8
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num_workers: 2
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shuffle: True
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val:
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batch_size: 8
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num_workers: 2
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loss:
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detection:
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weight: 1.0
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@ -130,14 +129,12 @@ train:
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alpha: 2
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size:
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weight: 0.1
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logger:
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logger_type: mlflow
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experiment_name: batdetect2
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tracking_uri: http://localhost:5000
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log_model: true
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logger_type: csv
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save_dir: outputs/log/
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artifact_location: outputs/artifacts/
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checkpoint_path_prefix: outputs/checkpoints/
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name: logs
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augmentations:
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steps:
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- augmentation_type: mix_audio
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8
example_data/dataset.yaml
Normal file
8
example_data/dataset.yaml
Normal file
@ -0,0 +1,8 @@
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name: example dataset
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description: Only for demonstration purposes
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sources:
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- format: batdetect2
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name: Example Data
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description: Examples included for testing batdetect2
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annotations_dir: example_data/anns
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audio_dir: example_data/audio
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