bacpipe.core.constants

Module Attributes

`TF_MODELS`	models that were built using tensorflow
`EMBEDDING_DIMENSIONS`	model names with their corresponding embedding size
`NEEDS_CHECKPOINT`	models that require a checkpoint to be downloaded to be run
`supported_models`	Supported embedding models available in bacpipe.
`models_needing_checkpoint`	Models that require a checkpoint to be downloaded before use.

bacpipe.core.constants.EMBEDDING_DIMENSIONS = {'audiomae': 768, 'audioprotopnet': 1024, 'aves_especies': 768, 'avesecho_passt': 768, 'bat': 64, 'batdetect2_clip_avg': 32, 'batdetect2_dets_avg': 32, 'beats': 768, 'biolingual': 512, 'birdaves_especies': 1024, 'birdmae': 1280, 'birdnet': 1024, 'convnext_birdset': 1024, 'google_whale': 1280, 'hbdet': 2048, 'insect459': 1280, 'insect66': 1280, 'mix2': 960, 'naturebeats': 768, 'perch_bird': 1280, 'perch_v2': 1536, 'protoclr': 384, 'rcl_fs_bsed': 2048, 'surfperch': 1280, 'vggish': 128}

model names with their corresponding embedding size

Type:: dict

bacpipe.core.constants.NEEDS_CHECKPOINT = ['audiomae', 'avesecho_passt', 'aves_especies', 'bat', 'beats', 'birdaves_especies', 'birdnet', 'hbdet', 'insect66', 'insect459', 'mix2', 'naturebeats', 'protoclr', 'rcl_fs_bsed']

models that require a checkpoint to be downloaded to be run

Type:: list[str]

bacpipe.core.constants.TF_MODELS = ['birdnet', 'perch_v2', 'perch_bird', 'google_whale', 'surfperch', 'vggish', 'hbdet']

models that were built using tensorflow

Type:: list[str]

bacpipe.core.constants.models_needing_checkpoint = ['audiomae', 'avesecho_passt', 'aves_especies', 'bat', 'beats', 'birdaves_especies', 'birdnet', 'hbdet', 'insect66', 'insect459', 'mix2', 'naturebeats', 'protoclr', 'rcl_fs_bsed']

Models that require a checkpoint to be downloaded before use.

Type:: list[str]

bacpipe.core.constants.supported_models = ['audiomae', 'audioprotopnet', 'avesecho_passt', 'aves_especies', 'bat', 'batdetect2_clip_avg', 'batdetect2_dets_avg', 'beats', 'birdaves_especies', 'biolingual', 'birdnet', 'birdmae', 'convnext_birdset', 'hbdet', 'insect66', 'insect459', 'mix2', 'naturebeats', 'perch_bird', 'perch_v2', 'protoclr', 'rcl_fs_bsed', 'surfperch', 'google_whale', 'vggish']

Supported embedding models available in bacpipe.

Type:: list[str]