mirror of
https://github.com/macaodha/batdetect2.git
synced 2025-06-29 22:51:58 +02:00
148 lines
3.0 KiB
YAML
148 lines
3.0 KiB
YAML
targets:
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classes:
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classes:
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- name: myomys
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tags:
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- value: Myotis mystacinus
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- name: pippip
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tags:
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- value: Pipistrellus pipistrellus
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- name: eptser
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tags:
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- value: Eptesicus serotinus
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- name: rhifer
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tags:
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- value: Rhinolophus ferrumequinum
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generic_class:
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- key: class
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value: Bat
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filtering:
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rules:
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- match_type: all
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tags:
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- key: event
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value: Echolocation
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- match_type: exclude
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tags:
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- key: class
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value: Unknown
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preprocess:
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audio:
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resample:
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samplerate: 256000
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method: "poly"
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scale: false
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center: true
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duration: null
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spectrogram:
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stft:
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window_duration: 0.002
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window_overlap: 0.75
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window_fn: hann
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frequencies:
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max_freq: 120000
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min_freq: 10000
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pcen:
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time_constant: 0.4
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gain: 0.98
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bias: 2
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power: 0.5
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scale: "amplitude"
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size:
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height: 128
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resize_factor: 0.5
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spectral_mean_substraction: true
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peak_normalize: false
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postprocess:
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nms_kernel_size: 9
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detection_threshold: 0.01
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min_freq: 10000
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max_freq: 120000
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top_k_per_sec: 200
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labels:
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sigma: 3
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model:
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input_height: 128
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in_channels: 1
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out_channels: 32
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encoder:
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layers:
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- block_type: FreqCoordConvDown
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out_channels: 32
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- block_type: FreqCoordConvDown
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out_channels: 64
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- block_type: LayerGroup
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layers:
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- block_type: FreqCoordConvDown
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out_channels: 128
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- block_type: ConvBlock
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out_channels: 256
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bottleneck:
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channels: 256
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self_attention: true
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decoder:
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layers:
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- block_type: FreqCoordConvUp
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out_channels: 64
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- block_type: FreqCoordConvUp
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out_channels: 32
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- block_type: LayerGroup
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layers:
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- block_type: FreqCoordConvUp
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out_channels: 32
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- block_type: ConvBlock
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out_channels: 32
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train:
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batch_size: 8
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loss:
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detection:
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weight: 1.0
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focal:
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beta: 4
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alpha: 2
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classification:
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weight: 2.0
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focal:
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beta: 4
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alpha: 2
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size:
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weight: 0.1
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optimizer:
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learning_rate: 0.001
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t_max: 100
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logger:
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logger_type: dvclive
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augmentations:
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steps:
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- augmentation_type: mix_audio
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probability: 0.2
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min_weight: 0.3
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max_weight: 0.7
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- augmentation_type: add_echo
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probability: 0.2
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max_delay: 0.005
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min_weight: 0.0
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max_weight: 1.0
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- augmentation_type: scale_volume
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probability: 0.2
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min_scaling: 0.0
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max_scaling: 2.0
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- augmentation_type: warp
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probability: 0.2
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delta: 0.04
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- augmentation_type: mask_time
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probability: 0.2
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max_perc: 0.05
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max_masks: 3
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- augmentation_type: mask_freq
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probability: 0.2
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max_perc: 0.10
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max_masks: 3
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