{ "cells": [ { "cell_type": "markdown", "id": "b0ae80e0-0ad9-4172-ac17-dec87927946f", "metadata": {}, "source": [ "# Use a CNN to recognize sounds\n", "\n", "This notebook contains all the code you need to use an existing (pre-trained) OpenSoundscape convolutional neural network model (CNN) to make predictions on your own data - for instance, to detect the song or call of an animal the CNN has been trained to recognize. It asssumes that you already have access to a CNN that has been trained to recognize the sound of interest. \n", "\n", "To find publicly available pre-trained CNNs, check out the [Bioacoustics Model Zoo](https://github.com/kitzeslab/bioacoustics-model-zoo/tree/main). \n", "\n", "If you are interested in training your own CNN, see the other tutorials at [opensoundscape.org](https://opensoundscape.org) related to model training. \n", "\n", "Before running this tutorial, install OpenSoundscape by following the instructions on the OpenSoundscape website, [opensoundscape.org](http://opensoundscape.org/). More detailed tutorials about data preprocessing, training CNNs, and customizing prediction methods can also be found on this site.\n", "\n", "\n", "## Run this tutorial\n", "\n", "This tutorial is more than a reference! It's a Jupyter Notebook which you can run and modify on Google Colab or your own computer.\n", "\n", "|Link to tutorial|How to run tutorial|\n", "| :- | :- |\n", "| [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kitzeslab/opensoundscape/blob/master/docs/tutorials/predict_with_cnn.ipynb) | The link opens the tutorial in Google Colab. Uncomment the \"installation\" line in the first cell to install OpenSoundscape. |\n", "| [![Download via DownGit](https://img.shields.io/badge/GitHub-Download-teal?logo=github)](https://minhaskamal.github.io/DownGit/#/home?url=https://github.com/kitzeslab/opensoundscape/blob/master/docs/tutorials/predict_with_cnn.ipynb) | The link downloads the tutorial file to your computer. Follow the [Jupyter installation instructions](https://opensoundscape.org/en/latest/installation/jupyter.html), then open the tutorial file in Jupyter. |" ] }, { "cell_type": "code", "execution_count": 1, "id": "c196e7c9-ce09-451f-992c-921935c82aed", "metadata": {}, "outputs": [], "source": [ "# if this is a Google Colab notebook, install opensoundscape in the runtime environment\n", "if 'google.colab' in str(get_ipython()):\n", " %pip install \"opensoundscape==0.13.0\" \"jupyter-client<8,>=5.3.4\" \"ipykernel==6.17.1\"" ] }, { "cell_type": "markdown", "id": "9be3cbec-ae44-4748-a159-5b1b38a6aaa6", "metadata": {}, "source": [ "### package imports" ] }, { "cell_type": "markdown", "id": "0d297227-fd67-498a-9e55-10f1af3b507c", "metadata": {}, "source": [ "The `cnn` module provides a function `load_model` to load saved opensoundscape models" ] }, { "cell_type": "code", "execution_count": 2, "id": "634fe7d0-c046-451f-a92c-1c3a0cf0eee7", "metadata": {}, "outputs": [], "source": [ "from opensoundscape.ml.cnn import load_model\n", "from opensoundscape import Audio\n", "import opensoundscape" ] }, { "cell_type": "markdown", "id": "fc92e601-10fa-460e-ac87-d74c791b9948", "metadata": {}, "source": [ "load some additional packages and perform some setup for the Jupyter notebook." ] }, { "cell_type": "code", "execution_count": 3, "id": "a4b11527-b31b-468e-a359-55c29c1b60a3", "metadata": {}, "outputs": [], "source": [ "# Other utilities and packages\n", "import torch\n", "from pathlib import Path\n", "import numpy as np\n", "import pandas as pd\n", "from glob import glob\n", "import subprocess" ] }, { "cell_type": "code", "execution_count": 4, "id": "1e27bfef-8871-4684-9448-46df6dd5148a", "metadata": {}, "outputs": [], "source": [ "#set up plotting\n", "from matplotlib import pyplot as plt\n", "plt.rcParams['figure.figsize']=[15,5] #for large visuals\n", "%config InlineBackend.figure_format = 'retina'" ] }, { "cell_type": "markdown", "id": "d6d447f4-6ef2-4c18-9d06-d4013c2446d8", "metadata": {}, "source": [ "### Load a model\n", "\n", "Models can be loaded either from a local file (`load_model(file_path)`) or directly from the [Bioacoustics Model Zoo](https://github.com/kitzeslab/bioacoustics-model-zoo/tree/main) like this:" ] }, { "cell_type": "markdown", "id": "8d1ff753", "metadata": {}, "source": [ "> Note: make sure to install the bioacoustics_model_zoo as a package in your python environment:\n", "\n", "`pip install bioacoustics-model-zoo==0.12.0`\n", "\n", "After installing, a running notebook must be restarted to gain access to the package" ] }, { "cell_type": "code", "execution_count": 5, "id": "c06c8dc9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'BirdNET': bioacoustics_model_zoo.birdnet.BirdNET,\n", " 'BirdNETOccurrenceModel': bioacoustics_model_zoo.birdnet.BirdNETOccurrenceModel,\n", " 'Perch2LiteRT': bioacoustics_model_zoo.perch_v2_litert.Perch2LiteRT,\n", " 'SeparationModel': bioacoustics_model_zoo.mixit_separation.SeparationModel,\n", " 'YAMNet': bioacoustics_model_zoo.yamnet.YAMNet,\n", " 'Perch': bioacoustics_model_zoo.perch.Perch,\n", " 'Perch2': bioacoustics_model_zoo.perch_v2.Perch2,\n", " 'HawkEars': bioacoustics_model_zoo.hawkears.hawkears.HawkEars,\n", " 'HawkEars_Low_Band': bioacoustics_model_zoo.hawkears.hawkears.HawkEars_Low_Band,\n", " 'HawkEars_Embedding': bioacoustics_model_zoo.hawkears.hawkears.HawkEars_Embedding,\n", " 'HawkEars_v010': bioacoustics_model_zoo.hawkears.hawkears.HawkEars_v010,\n", " 'BirdSetConvNeXT': bioacoustics_model_zoo.bmz_birdset.bmz_birdset_convnext.BirdSetConvNeXT,\n", " 'BirdSetEfficientNetB1': bioacoustics_model_zoo.bmz_birdset.bmz_birdset_efficientnetB1.BirdSetEfficientNetB1,\n", " 'RanaSierraeCNN': bioacoustics_model_zoo.rana_sierrae_cnn.RanaSierraeCNN}" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import bioacoustics_model_zoo as bmz\n", "\n", "# list available models from the model zoo\n", "bmz.utils.list_models()" ] }, { "cell_type": "markdown", "id": "26e61689", "metadata": {}, "source": [ "Some models require additional dependencies. HawkEars requires the `timm` and `torchaudio` packages to be installed in your environment." ] }, { "cell_type": "code", "execution_count": 6, "id": "7664211b", "metadata": {}, "outputs": [], "source": [ "hawkears = bmz.HawkEars()" ] }, { "cell_type": "markdown", "id": "277cf09f-8633-44a9-80d9-949faf07dcc2", "metadata": {}, "source": [ "### Choose audio files for prediction" ] }, { "cell_type": "markdown", "id": "f5c813ba-79cd-431c-9dc1-6ca0f76c0787", "metadata": {}, "source": [ "Create a list of audio files to predict on. They can be of any length. Consider using `glob` to find many files at once.\n", "\n", "For this example, let's download a 1-minute audio clip:" ] }, { "cell_type": "code", "execution_count": 7, "id": "b8380efc-6e3b-4e50-8e7d-a4ecc9dcd062", "metadata": {}, "outputs": [], "source": [ "url = \"https://tinyurl.com/birds60s\"\n", "Audio.from_url(url).save(\"./1min.wav\")" ] }, { "cell_type": "markdown", "id": "be678f5f-6359-4d06-91dc-7050924b8f8d", "metadata": {}, "source": [ "use glob to create a list of all files matching a pattern in a folder:" ] }, { "cell_type": "code", "execution_count": 8, "id": "379b7d42-883d-4fc3-a009-1a3357533cb7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['./demo_audio.wav', './1min.wav']" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from glob import glob\n", "\n", "audio_files = glob(\"./*.wav\") # match all .wav files in the current directory\n", "audio_files" ] }, { "cell_type": "markdown", "id": "42b354ce", "metadata": {}, "source": [ "Listening to the recording, we can hear songs and calls of Wood Thrush, Ovenbird, Black-and-white Warblers, Hooded Warblers, and more. " ] }, { "cell_type": "code", "execution_count": 9, "id": "50861659", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Audio.from_file(audio_files[0])" ] }, { "cell_type": "markdown", "id": "e67d44ed-9a26-46d7-a789-485d630fc378", "metadata": {}, "source": [ "## generate predictions with the model\n", "The model returns a dataframe with a MultiIndex of file, start_time, and end_time. There is one column for each class. \n", "\n", "The values returned by the model range from -infinity to infinity (theoretically), and higher scores mean the model is more confident the class (song/species/sound type) is present in the audio clip." ] }, { "cell_type": "code", "execution_count": 10, "id": "55cff7ce", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "72cd8b59ee2b4956b63ac2cda494103e", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/40 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
American BullfrogAmerican ToadBoreal Chorus FrogCanineCanadian ToadGray TreefrogGreat Plains ToadGreen FrogNorthern Leopard FrogMashup...Yellow RailYellow WarblerYellow-bellied FlycatcherYellow-bellied SapsuckerYellow-billed CuckooYellow-breasted ChatYellow-headed BlackbirdYellow-rumped WarblerYellow-throated VireoYellow-throated Warbler
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3.06.0-3.457553-3.479793-3.474909-3.500456-3.487077-3.522441-3.459663-3.442261-3.505857-3.440974...-3.526970-3.626572-3.534512-3.563111-3.492841-3.466604-3.528344-3.432244-3.378526-3.413256
6.09.0-3.474403-3.448281-3.479034-3.503640-3.475060-3.477652-3.478258-3.470358-3.468938-3.492811...-3.464751-3.474232-3.492598-3.465265-3.438451-3.503668-3.502397-3.518036-3.554748-3.507980
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12.015.0-3.470327-3.487154-3.470491-3.424055-3.488506-3.491496-3.468609-3.442134-3.455426-3.453564...-3.494715-3.489774-3.448597-3.446382-3.451458-3.462630-3.458184-3.473811-3.375827-3.494082
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5 rows × 353 columns

\n", "" ], "text/plain": [ " American Bullfrog American Toad \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.466256 -3.448090 \n", " 3.0 6.0 -3.457553 -3.479793 \n", " 6.0 9.0 -3.474403 -3.448281 \n", " 9.0 12.0 -3.462986 -3.505934 \n", " 12.0 15.0 -3.470327 -3.487154 \n", "\n", " Boreal Chorus Frog Canine \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.493556 -3.503592 \n", " 3.0 6.0 -3.474909 -3.500456 \n", " 6.0 9.0 -3.479034 -3.503640 \n", " 9.0 12.0 -3.457190 -3.485591 \n", " 12.0 15.0 -3.470491 -3.424055 \n", "\n", " Canadian Toad Gray Treefrog \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.481331 -3.487176 \n", " 3.0 6.0 -3.487077 -3.522441 \n", " 6.0 9.0 -3.475060 -3.477652 \n", " 9.0 12.0 -3.492722 -3.488315 \n", " 12.0 15.0 -3.488506 -3.491496 \n", "\n", " Great Plains Toad Green Frog \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.483800 -3.437101 \n", " 3.0 6.0 -3.459663 -3.442261 \n", " 6.0 9.0 -3.478258 -3.470358 \n", " 9.0 12.0 -3.466021 -3.464118 \n", " 12.0 15.0 -3.468609 -3.442134 \n", "\n", " Northern Leopard Frog Mashup ... \\\n", "file start_time end_time ... \n", "./demo_audio.wav 0.0 3.0 -3.500467 -3.496845 ... \n", " 3.0 6.0 -3.505857 -3.440974 ... \n", " 6.0 9.0 -3.468938 -3.492811 ... \n", " 9.0 12.0 -3.502368 -3.466348 ... \n", " 12.0 15.0 -3.455426 -3.453564 ... \n", "\n", " Yellow Rail Yellow Warbler \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.476843 -3.523676 \n", " 3.0 6.0 -3.526970 -3.626572 \n", " 6.0 9.0 -3.464751 -3.474232 \n", " 9.0 12.0 -3.493623 -3.363047 \n", " 12.0 15.0 -3.494715 -3.489774 \n", "\n", " Yellow-bellied Flycatcher \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.492661 \n", " 3.0 6.0 -3.534512 \n", " 6.0 9.0 -3.492598 \n", " 9.0 12.0 -3.474586 \n", " 12.0 15.0 -3.448597 \n", "\n", " Yellow-bellied Sapsucker \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.503134 \n", " 3.0 6.0 -3.563111 \n", " 6.0 9.0 -3.465265 \n", " 9.0 12.0 -3.527257 \n", " 12.0 15.0 -3.446382 \n", "\n", " Yellow-billed Cuckoo \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.464896 \n", " 3.0 6.0 -3.492841 \n", " 6.0 9.0 -3.438451 \n", " 9.0 12.0 -3.504027 \n", " 12.0 15.0 -3.451458 \n", "\n", " Yellow-breasted Chat \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.496201 \n", " 3.0 6.0 -3.466604 \n", " 6.0 9.0 -3.503668 \n", " 9.0 12.0 -3.485874 \n", " 12.0 15.0 -3.462630 \n", "\n", " Yellow-headed Blackbird \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.435257 \n", " 3.0 6.0 -3.528344 \n", " 6.0 9.0 -3.502397 \n", " 9.0 12.0 -3.472647 \n", " 12.0 15.0 -3.458184 \n", "\n", " Yellow-rumped Warbler \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.562006 \n", " 3.0 6.0 -3.432244 \n", " 6.0 9.0 -3.518036 \n", " 9.0 12.0 -3.593486 \n", " 12.0 15.0 -3.473811 \n", "\n", " Yellow-throated Vireo \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.346351 \n", " 3.0 6.0 -3.378526 \n", " 6.0 9.0 -3.554748 \n", " 9.0 12.0 -3.486274 \n", " 12.0 15.0 -3.375827 \n", "\n", " Yellow-throated Warbler \n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.482978 \n", " 3.0 6.0 -3.413256 \n", " 6.0 9.0 -3.507980 \n", " 9.0 12.0 -3.522454 \n", " 12.0 15.0 -3.494082 \n", "\n", "[5 rows x 353 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scores = hawkears.predict(audio_files)\n", "scores.head()" ] }, { "cell_type": "markdown", "id": "93f2d2aa", "metadata": {}, "source": [ "We might want overlapping prediction time windows, to ensure sounds are not missed because they are cut off on the edge of a clip\n", "\n", "We'll also use 'batch size' to increase the number of samples predicted on at a time. When GPU is available for accelerating inference, large batch sizes like 64, 128, or 512 greatly speed up inference. Use as large of a batch size as you can without getting a CUDA out of memory error." ] }, { "cell_type": "code", "execution_count": null, "id": "45acfdb7", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a6b7c120bf0a427aacbddaaccd93f7f8", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/5 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
American BullfrogAmerican ToadBoreal Chorus FrogCanineCanadian ToadGray TreefrogGreat Plains ToadGreen FrogNorthern Leopard FrogMashup...Yellow RailYellow WarblerYellow-bellied FlycatcherYellow-bellied SapsuckerYellow-billed CuckooYellow-breasted ChatYellow-headed BlackbirdYellow-rumped WarblerYellow-throated VireoYellow-throated Warbler
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6.09.0-3.474403-3.448280-3.479034-3.503640-3.475060-3.477652-3.478258-3.470358-3.468938-3.492811...-3.464751-3.474232-3.492598-3.465265-3.438450-3.503668-3.502397-3.518036-3.554748-3.507980
9.012.0-3.462986-3.505934-3.457190-3.485591-3.492722-3.488315-3.466021-3.464118-3.502368-3.466348...-3.493623-3.363047-3.474586-3.527257-3.504027-3.485874-3.472647-3.593486-3.486274-3.522454
12.015.0-3.470327-3.487154-3.470491-3.424055-3.488506-3.491496-3.468609-3.442134-3.455426-3.453564...-3.494715-3.489774-3.448597-3.446382-3.451458-3.462630-3.458184-3.473811-3.375827-3.494082
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5 rows × 353 columns

\n", "" ], "text/plain": [ " American Bullfrog American Toad \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.466256 -3.448090 \n", " 3.0 6.0 -3.457553 -3.479793 \n", " 6.0 9.0 -3.474403 -3.448280 \n", " 9.0 12.0 -3.462986 -3.505934 \n", " 12.0 15.0 -3.470327 -3.487154 \n", "\n", " Boreal Chorus Frog Canine \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.493556 -3.503592 \n", " 3.0 6.0 -3.474909 -3.500456 \n", " 6.0 9.0 -3.479034 -3.503640 \n", " 9.0 12.0 -3.457190 -3.485591 \n", " 12.0 15.0 -3.470491 -3.424055 \n", "\n", " Canadian Toad Gray Treefrog \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.481331 -3.487176 \n", " 3.0 6.0 -3.487077 -3.522441 \n", " 6.0 9.0 -3.475060 -3.477652 \n", " 9.0 12.0 -3.492722 -3.488315 \n", " 12.0 15.0 -3.488506 -3.491496 \n", "\n", " Great Plains Toad Green Frog \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.483800 -3.437101 \n", " 3.0 6.0 -3.459663 -3.442261 \n", " 6.0 9.0 -3.478258 -3.470358 \n", " 9.0 12.0 -3.466021 -3.464118 \n", " 12.0 15.0 -3.468609 -3.442134 \n", "\n", " Northern Leopard Frog Mashup ... \\\n", "file start_time end_time ... \n", "./demo_audio.wav 0.0 3.0 -3.500467 -3.496845 ... \n", " 3.0 6.0 -3.505857 -3.440974 ... \n", " 6.0 9.0 -3.468938 -3.492811 ... \n", " 9.0 12.0 -3.502368 -3.466348 ... \n", " 12.0 15.0 -3.455426 -3.453564 ... \n", "\n", " Yellow Rail Yellow Warbler \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.476843 -3.523676 \n", " 3.0 6.0 -3.526970 -3.626572 \n", " 6.0 9.0 -3.464751 -3.474232 \n", " 9.0 12.0 -3.493623 -3.363047 \n", " 12.0 15.0 -3.494715 -3.489774 \n", "\n", " Yellow-bellied Flycatcher \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.492661 \n", " 3.0 6.0 -3.534512 \n", " 6.0 9.0 -3.492598 \n", " 9.0 12.0 -3.474586 \n", " 12.0 15.0 -3.448597 \n", "\n", " Yellow-bellied Sapsucker \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.503134 \n", " 3.0 6.0 -3.563111 \n", " 6.0 9.0 -3.465265 \n", " 9.0 12.0 -3.527257 \n", " 12.0 15.0 -3.446382 \n", "\n", " Yellow-billed Cuckoo \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.464896 \n", " 3.0 6.0 -3.492841 \n", " 6.0 9.0 -3.438450 \n", " 9.0 12.0 -3.504027 \n", " 12.0 15.0 -3.451458 \n", "\n", " Yellow-breasted Chat \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.496201 \n", " 3.0 6.0 -3.466604 \n", " 6.0 9.0 -3.503668 \n", " 9.0 12.0 -3.485874 \n", " 12.0 15.0 -3.462630 \n", "\n", " Yellow-headed Blackbird \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.435257 \n", " 3.0 6.0 -3.528344 \n", " 6.0 9.0 -3.502397 \n", " 9.0 12.0 -3.472647 \n", " 12.0 15.0 -3.458184 \n", "\n", " Yellow-rumped Warbler \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.562006 \n", " 3.0 6.0 -3.432244 \n", " 6.0 9.0 -3.518036 \n", " 9.0 12.0 -3.593486 \n", " 12.0 15.0 -3.473811 \n", "\n", " Yellow-throated Vireo \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.346351 \n", " 3.0 6.0 -3.378526 \n", " 6.0 9.0 -3.554748 \n", " 9.0 12.0 -3.486274 \n", " 12.0 15.0 -3.375827 \n", "\n", " Yellow-throated Warbler \n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 -3.482978 \n", " 3.0 6.0 -3.413256 \n", " 6.0 9.0 -3.507980 \n", " 9.0 12.0 -3.522454 \n", " 12.0 15.0 -3.494082 \n", "\n", "[5 rows x 353 columns]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scores = hawkears.predict(audio_files, overlap_fraction=0, batch_size=8)\n", "scores.head()" ] }, { "cell_type": "markdown", "id": "6d853888", "metadata": {}, "source": [ "### adding an activation function\n", "\n", "The code above returns the raw predictions of the model without any post-processing (such as a softmax layer or a sigmoid layer). \n", "\n", "For details on how to post-processing prediction scores and to generate binary 0/1 predictions of class presence, see the \"Basic training and prediction with CNNs\" tutorial notebook. But, as a quick example here, let's add a softmax layer to make the prediction scores for both classes sum to 1. \n", "\n", "We can also convert our continuous scores into True/False (or 1/0) predictions for the presence of each class in each sample. Think about whether each clip should be labeled with only one class or whether each clip could contain zero, one, or multiple classes \n", "\n", "We can map the raw \"logit\" outputs from the CNN onto the range 0-1 by applying the sigmoid activation function, which is appropriate for multi-target classification" ] }, { "cell_type": "code", "execution_count": 18, "id": "dcb533fc", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2d5328178bf241639dadc4b5495464e3", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/80 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
American BullfrogAmerican ToadBoreal Chorus FrogCanineCanadian ToadGray TreefrogGreat Plains ToadGreen FrogNorthern Leopard FrogMashup...Yellow RailYellow WarblerYellow-bellied FlycatcherYellow-bellied SapsuckerYellow-billed CuckooYellow-breasted ChatYellow-headed BlackbirdYellow-rumped WarblerYellow-throated VireoYellow-throated Warbler
filestart_timeend_time
./demo_audio.wav0.03.00.0302880.0308260.0294960.0292100.0298480.0296790.0297770.0311560.0292990.029402...0.0299780.0286460.0295220.0292230.0303280.0294210.0312120.0275990.0340150.029800
1.54.50.0297130.0301420.0299280.0296300.0304060.0291300.0299630.0305800.0310330.029469...0.0299390.0293630.0300380.0311940.0297920.0298250.0296040.0291260.0367670.036750
3.06.00.0305440.0298930.0300350.0292990.0296820.0286800.0304820.0310000.0291460.031039...0.0285550.0259180.0283460.0275690.0295170.0302780.0285160.0313030.0329730.031884
4.57.50.0299310.0300160.0298840.0301380.0294750.0291370.0301880.0309100.0291920.030261...0.0282850.0271280.0287750.0294400.0293970.0290450.0294550.0295730.0285030.030980
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5 rows × 353 columns

\n", "" ], "text/plain": [ " American Bullfrog American Toad \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.030288 0.030826 \n", " 1.5 4.5 0.029713 0.030142 \n", " 3.0 6.0 0.030544 0.029893 \n", " 4.5 7.5 0.029931 0.030016 \n", " 6.0 9.0 0.030049 0.030820 \n", "\n", " Boreal Chorus Frog Canine \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029496 0.029210 \n", " 1.5 4.5 0.029928 0.029630 \n", " 3.0 6.0 0.030035 0.029299 \n", " 4.5 7.5 0.029884 0.030138 \n", " 6.0 9.0 0.029915 0.029209 \n", "\n", " Canadian Toad Gray Treefrog \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029848 0.029679 \n", " 1.5 4.5 0.030406 0.029130 \n", " 3.0 6.0 0.029682 0.028680 \n", " 4.5 7.5 0.029475 0.029137 \n", " 6.0 9.0 0.030030 0.029955 \n", "\n", " Great Plains Toad Green Frog \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029777 0.031156 \n", " 1.5 4.5 0.029963 0.030580 \n", " 3.0 6.0 0.030482 0.031000 \n", " 4.5 7.5 0.030188 0.030910 \n", " 6.0 9.0 0.029937 0.030168 \n", "\n", " Northern Leopard Frog Mashup ... \\\n", "file start_time end_time ... \n", "./demo_audio.wav 0.0 3.0 0.029299 0.029402 ... \n", " 1.5 4.5 0.031033 0.029469 ... \n", " 3.0 6.0 0.029146 0.031039 ... \n", " 4.5 7.5 0.029192 0.030261 ... \n", " 6.0 9.0 0.030209 0.029517 ... \n", "\n", " Yellow Rail Yellow Warbler \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029978 0.028646 \n", " 1.5 4.5 0.029939 0.029363 \n", " 3.0 6.0 0.028555 0.025918 \n", " 4.5 7.5 0.028285 0.027128 \n", " 6.0 9.0 0.030332 0.030054 \n", "\n", " Yellow-bellied Flycatcher \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029522 \n", " 1.5 4.5 0.030038 \n", " 3.0 6.0 0.028346 \n", " 4.5 7.5 0.028775 \n", " 6.0 9.0 0.029524 \n", "\n", " Yellow-bellied Sapsucker \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029223 \n", " 1.5 4.5 0.031194 \n", " 3.0 6.0 0.027569 \n", " 4.5 7.5 0.029440 \n", " 6.0 9.0 0.030317 \n", "\n", " Yellow-billed Cuckoo \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.030328 \n", " 1.5 4.5 0.029792 \n", " 3.0 6.0 0.029517 \n", " 4.5 7.5 0.029397 \n", " 6.0 9.0 0.031115 \n", "\n", " Yellow-breasted Chat \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029421 \n", " 1.5 4.5 0.029825 \n", " 3.0 6.0 0.030278 \n", " 4.5 7.5 0.029045 \n", " 6.0 9.0 0.029208 \n", "\n", " Yellow-headed Blackbird \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.031212 \n", " 1.5 4.5 0.029604 \n", " 3.0 6.0 0.028516 \n", " 4.5 7.5 0.029455 \n", " 6.0 9.0 0.029244 \n", "\n", " Yellow-rumped Warbler \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.027599 \n", " 1.5 4.5 0.029126 \n", " 3.0 6.0 0.031303 \n", " 4.5 7.5 0.029573 \n", " 6.0 9.0 0.028803 \n", "\n", " Yellow-throated Vireo \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.034015 \n", " 1.5 4.5 0.036767 \n", " 3.0 6.0 0.032973 \n", " 4.5 7.5 0.028503 \n", " 6.0 9.0 0.027794 \n", "\n", " Yellow-throated Warbler \n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.029800 \n", " 1.5 4.5 0.036750 \n", " 3.0 6.0 0.031884 \n", " 4.5 7.5 0.030980 \n", " 6.0 9.0 0.029086 \n", "\n", "[5 rows x 353 columns]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scores = hawkears.predict(audio_files, activation_layer=\"sigmoid\", overlap_fraction=0.5)\n", "scores.head()" ] }, { "cell_type": "markdown", "id": "fe8adb8b", "metadata": {}, "source": [ "Now let's use the `predict_multi_target_labels(scores)` function to apply a threshold score and generate detection/non-detections. " ] }, { "cell_type": "code", "execution_count": 21, "id": "3a1bf5f6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "American Redstart 12\n", "Black-and-white Warbler 4\n", "Hooded Warbler 18\n", "Ovenbird 2\n", "Wood Thrush 20\n", "dtype: int64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from opensoundscape.metrics import predict_multi_target_labels\n", "\n", "predicted_labels = predict_multi_target_labels(scores, threshold=0.7)\n", "\n", "# count the number of detections for each species\n", "detection_counts = predicted_labels.sum(0)\n", "detection_counts[detection_counts > 0]" ] }, { "cell_type": "markdown", "id": "05b7f2ec", "metadata": {}, "source": [ "Do you agree with the HawkEars detections? Do you hear any other species?" ] }, { "cell_type": "code", "execution_count": 22, "id": "c3559078", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Audio.from_file(audio_files[0])" ] }, { "cell_type": "markdown", "id": "9f0c4514", "metadata": {}, "source": [ "It is sometimes helpful to look at a histogram of the scores, although we only have a handful of clips here so the histogram is sparse. " ] }, { "cell_type": "code", "execution_count": 23, "id": "8cd90687", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 448, "width": 1209 } }, "output_type": "display_data" } ], "source": [ "_ = plt.hist(scores[\"Ovenbird\"], bins=20)\n", "_ = plt.xlabel(\"softmax score for Ovenbird\")" ] }, { "cell_type": "markdown", "id": "219faa29", "metadata": {}, "source": [ "## generate embeddings with the model\n", "Embeddings are typically the outputs of the penultimate layer of the machine learning model. The embeddings can be useful for extracting a \"feature vector\" for each audio sample, with various downstream applications such as recognition of new classes or clustering based on acoustic qualities. OpenSoundscape and Biaocoustic Model Zoo classification models have a .embed() method with similar inputs and outputs to the .predict() method. Each row in the output is the embedding vector for one audio clip. " ] }, { "cell_type": "code", "execution_count": 24, "id": "8341d531", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cd3d2258a95c45349fd024f8601e6c78", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/40 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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\n", "" ], "text/plain": [ " 0 1 2 3 \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.000000 0.000000 0.0 0.005686 \n", " 3.0 6.0 0.000000 0.014767 0.0 0.000000 \n", " 6.0 9.0 0.005847 0.000000 0.0 0.000000 \n", " 9.0 12.0 0.033705 0.023867 0.0 0.002927 \n", " 12.0 15.0 0.000000 0.013020 0.0 0.001521 \n", "\n", " 4 5 6 7 8 \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.0 0.000000 0.0 0.0 0.0 \n", " 3.0 6.0 0.0 0.002209 0.0 0.0 0.0 \n", " 6.0 9.0 0.0 0.000348 0.0 0.0 0.0 \n", " 9.0 12.0 0.0 0.000000 0.0 0.0 0.0 \n", " 12.0 15.0 0.0 0.000000 0.0 0.0 0.0 \n", "\n", " 9 ... 1910 1911 1912 \\\n", "file start_time end_time ... \n", "./demo_audio.wav 0.0 3.0 0.001031 ... 0.009462 0.0 0.000000 \n", " 3.0 6.0 0.000000 ... 0.000000 0.0 0.000415 \n", " 6.0 9.0 0.003157 ... 0.017381 0.0 0.000000 \n", " 9.0 12.0 0.003928 ... 0.003397 0.0 0.000000 \n", " 12.0 15.0 0.007852 ... 0.000000 0.0 0.000000 \n", "\n", " 1913 1914 1915 1916 \\\n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.0 0.003263 0.000000 0.000000 \n", " 3.0 6.0 0.0 0.000000 0.011083 0.001684 \n", " 6.0 9.0 0.0 0.000104 0.000000 0.000000 \n", " 9.0 12.0 0.0 0.007739 0.000000 0.000000 \n", " 12.0 15.0 0.0 0.000000 0.000000 0.000000 \n", "\n", " 1917 1918 1919 \n", "file start_time end_time \n", "./demo_audio.wav 0.0 3.0 0.000550 0.000335 0.00000 \n", " 3.0 6.0 0.005371 0.000000 0.00000 \n", " 6.0 9.0 0.000000 0.000000 0.00000 \n", " 9.0 12.0 0.009266 0.000000 0.00115 \n", " 12.0 15.0 0.002100 0.000000 0.00000 \n", "\n", "[5 rows x 1920 columns]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "embeddings = hawkears.embed(audio_files)\n", "embeddings.head()" ] }, { "cell_type": "markdown", "id": "ca7e0d0c-3988-4294-9fc9-16ca3c98c01d", "metadata": {}, "source": [ "## Inspect samples generated during prediction" ] }, { "cell_type": "code", "execution_count": 25, "id": "00b4b51c-6a56-4cca-a43c-d3893968d137", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 470, "width": 1369 } }, "output_type": "display_data" } ], "source": [ "from opensoundscape.preprocess.utils import show_tensor_grid\n", "from opensoundscape.ml.datasets import AudioFileDataset\n", "\n", "# generate a dataset with the samples we wish to generate and the model's preprocessor\n", "inspection_dataset = AudioFileDataset(audio_files, hawkears.preprocessor)\n", "inspection_dataset.bypass_augmentations = True\n", "\n", "# Note: hawkears produces samples \"upside down\" relative to the usual convention (low frequencies at bottom of image)\n", "# so we flip the samples for visualization here\n", "samples = [sample.data.flip(1) for sample in inspection_dataset.head(8)]\n", "_ = show_tensor_grid(samples, 4)" ] }, { "cell_type": "markdown", "id": "2c5270fc", "metadata": {}, "source": [ "## Activation maps: understand what the model is looking at\n", "GradCAM (gradient-class activation maps) is a tool for visualizing which parts of a sample caused the CNN to predict a specific class was present. This is a great way to check that the model is paying attention to the right things, or understand why the model makes certain types of mistakes. We've built in GradCAM into the opensoundscape CNN class so that its easy to apply\n", "\n", "Let's take the Ovenbird and Wood Thrush in the 3rd sample as an example, and ask the model which parts of the sample made it confident that Ovenbird was present\n", "\n", "We specify guided_backprop=True here: without this option, CAMs are generated for general regions of the image, but with this option we get pixel-level activations from the input.\n", "\n", "By using the \"backprop and activation\" mode, we visualize the combination of (a) the general region of activation on the final layer with (b) the specific pixels from the input." ] }, { "cell_type": "code", "execution_count": 26, "id": "ca992a62", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Audio.from_file(audio_files[0], offset=6, duration=3)" ] }, { "cell_type": "code", "execution_count": null, "id": "feff62eb", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d4bc678db8a1412cbc4a8b9545e588be", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/1 [00:00" ] }, "metadata": { "image/png": { "height": 426, "width": 789 } }, "output_type": "display_data" }, { "data": { "text/plain": [ "(
,\n", " )" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# define the audio segments we wish to generate CAMs for\n", "samples_df = pd.DataFrame(\n", " {\"file\": audio_files[0:1], \"start_time\": [6], \"end_time\": [9]}\n", ").set_index([\"file\", \"start_time\", \"end_time\"])\n", "\n", "# generate CAMs for Ovenbird class with guided backpropagation\n", "# noe: requires optional dependency `pip install grad-cam``\n", "samples_with_cams = hawkears.generate_cams(\n", " samples_df, classes=[\"Ovenbird\", \"Wood Thrush\"], guided_backprop=True\n", ")\n", "\n", "# plot the CAM for the Ovenbird class for the 3rd sample\n", "samples_with_cams[0].cam.plot(mode=\"backprop_and_activation\", flipud=True)" ] }, { "cell_type": "markdown", "id": "9765b290", "metadata": {}, "source": [ "To dig further into the options for generating and plotting gradient activation maps, see the docstrings of CNN.generate_cams() and opensoundscape.ml.cam.CAM.plot()" ] }, { "cell_type": "markdown", "id": "bfa9a264-938b-4bb2-8321-147f86d923f2", "metadata": { "tags": [] }, "source": [ "## Using models trained in older OpenSoundscape versions\n", "\n", "#### Using models from OpenSoundscape >=0.11.0\n", "\n", "Simply load the model with `opensoundscape.ml.cnn.load_model(path)`. \n", "\n", "Starting with OpenSoundscape 0.11.0, the default model.save() (for CNN/SpectroramClassifier) is designed to work smoothly across package version updates: the default behavior (pickle=False) saves a state dictionary for the network parameters and a dictionary describing the preprocessing settings, as well as some other information (class list, architecture name, etc) which OpenSoundscape can use to re-create the model from the saved file so long as any custom code used to create the model/preprocessor is still available when loading the model from a file. \n", "\n", "#### Using models from OpenSoundscape <0.11.0\n", "\n", "In general, if you want to use a model created in an OpenSoundscape <0.11.0 in a newer version, you should:\n", "\n", "\n", "1. use or re-create a separate Python environment (eg, conda environment) that has the same version of OpenSoundscape used to create and train the model. \n", "\n", "\n", "2. Save the model's weights like this: \n", "```\n", "torch.save({'weights':model.network.state_dict()},'my_weights.pt')\n", "```\n", "\n", "\n", "3. You'll also want to save/take note of the architecture, ordered list of model classes, and sample input shape, and all preprocessing parameters/steps (e.g. sample shape, spectrogram creation parameters, scaling/normalization).\n", "\n", "\n", "4. Then, in your new opensoundscape environment, recreate the model with the same architecture, input shape, class list, and preprocessing parameters\n", "\n", "5. Load the saved weights into the model architecture:\n", "\n", "```\n", "weights = torch.load('my_weights.pt')['weights']\n", "my_new_model.network.load_state_dict(weights)\n", "```\n", "\n", "#### Changes to default preprocessing behavior across OpenSoundscape versions\n", "Be aware of changes to default preprocessing settings between OpenSoundscape versions. In particular: \n", "\n", "- opensoundscape<0.7.0 used the opposite sign convention in preprocessed tensor samples: loud sounds were low values and quiet sounds were high values. Specify `model.preprocessor.pipeline.to_tensor.set(invert=True)` to match the default preprocessor behavior of opensoundscape<0.7.0\n", "\n", "- opensoundscape<0.11.0 used skimage interpolation by default in Spectrogram.to_tensor(which is used in the SpectrogramPreprocessor.pipeline.to_tensor action), while newer version use pytorch interpolation by default (much faster). The differences in interpolation methods are subtle but lead to slightly different ML model scores. Specify `model.preprocessor.pipeline.to_tensor.set(use_skimage=True)` to match the default preprocessor behavior of opensoundscape<0.11.0. \n", "\n", "- opensoundscape<0.12.0 CNN class's default Overlay preprocessor had update_labels=False, >=0.12.0 has default update_labels=True\n", "\n", "If you need assistance loading a model developed in a different OpenSoundscape version into a more recent version, please contact one of the developers of OpenSoundscape. " ] }, { "cell_type": "markdown", "id": "2595f24a-a561-4762-ac95-60d443465b97", "metadata": {}, "source": [ "### Clean up: delete model objects" ] }, { "cell_type": "code", "execution_count": 29, "id": "7445b2e5-eb8d-4ac2-9860-c96db7fa3e1b", "metadata": {}, "outputs": [], "source": [ "from pathlib import Path\n", "\n", "for p in Path(\".\").glob(\"*.model\"):\n", " p.unlink()\n", "\n", "# uncomment to delete the downloaded audio file\n", "# Path('1min.wav').unlink()" ] }, { "cell_type": "code", "execution_count": null, "id": "1593df03", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "opso_dev", "language": "python", "name": "opso_dev" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.5" } }, "nbformat": 4, "nbformat_minor": 5 }