{ "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": null, "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==0.12.1\" \"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": 13, "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": 14, "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": 15, "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": 16, "id": "c06c8dc9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[bioacoustics_model_zoo.BirdNET,\n", " bioacoustics_model_zoo.SeparationModel,\n", " bioacoustics_model_zoo.YAMNet,\n", " bioacoustics_model_zoo.Perch,\n", " bioacoustics_model_zoo.hawkears.hawkears.HawkEars,\n", " bioacoustics_model_zoo.BirdSetConvNeXT,\n", " bioacoustics_model_zoo.rana_sierrae_cnn.RanaSierraeCNN]" ] }, "execution_count": 16, "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": 17, "id": "7664211b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading model from URL...\n", "File hgnet1.ckpt already exists; skipping download.\n", "Loading model from local checkpoint /Users/SML161/opensoundscape/docs/tutorials/hgnet1.ckpt...\n", "Downloading model from URL...\n", "File hgnet2.ckpt already exists; skipping download.\n", "Loading model from local checkpoint /Users/SML161/opensoundscape/docs/tutorials/hgnet2.ckpt...\n", "Downloading model from URL...\n", "File hgnet3.ckpt already exists; skipping download.\n", "Loading model from local checkpoint /Users/SML161/opensoundscape/docs/tutorials/hgnet3.ckpt...\n", "Downloading model from URL...\n", "File hgnet4.ckpt already exists; skipping download.\n", "Loading model from local checkpoint /Users/SML161/opensoundscape/docs/tutorials/hgnet4.ckpt...\n", "Downloading model from URL...\n", "File hgnet5.ckpt already exists; skipping download.\n", "Loading model from local checkpoint /Users/SML161/opensoundscape/docs/tutorials/hgnet5.ckpt...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/SML161/opensoundscape/opensoundscape/preprocess/preprocessors.py:512: DeprecationWarning: sample_shape argument is deprecated. Please use height, width, channels arguments instead. \n", " The current behavior is to override height, width, channels with sample_shape \n", " when sample_shape is not None.\n", " \n", " warnings.warn(\n", "/Users/SML161/opensoundscape/opensoundscape/ml/cnn.py:599: UserWarning: \n", " This architecture is not listed in opensoundscape.ml.cnn_architectures.ARCH_DICT.\n", " It will not be available for loading after saving the model with .save() (unless using pickle=True). \n", " To make it re-loadable, define a function that generates the architecture from arguments: (n_classes, n_channels) \n", " then use opensoundscape.ml.cnn_architectures.register_architecture() to register the generating function.\n", "\n", " The function can also set the returned object's .constructor_name to the registered string key in ARCH_DICT\n", " to avoid this warning and ensure it is reloaded correctly by opensoundscape.ml.load_model().\n", "\n", " See opensoundscape.ml.cnn_architectures module for examples of constructor functions\n", " \n", " warnings.warn(\n", "/Users/SML161/opensoundscape/opensoundscape/ml/cnn.py:623: UserWarning: Failed to detect expected # input channels of this architecture.Make sure your architecture expects the number of channels equal to `channels` argument 1). Pytorch architectures generally expect 3 channels by default.\n", " warnings.warn(\n" ] } ], "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": 18, "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": 19, "id": "379b7d42-883d-4fc3-a009-1a3357533cb7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['./1min.wav']" ] }, "execution_count": 19, "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": 20, "id": "50861659", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 20, "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": 21, "id": "55cff7ce", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b20a021505aa46dc8fb1aa4233cbe27b", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/20 [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 FrogLeopard FrogMashup...Yellow RailYellow WarblerYellow-bellied FlycatcherYellow-bellied SapsuckerYellow-billed CuckooYellow-breasted ChatYellow-headed BlackbirdYellow-rumped WarblerYellow-throated VireoYellow-throated Warbler
filestart_timeend_time
./1min.wav0.03.0-7.189047-7.240286-7.408662-6.765031-7.293872-6.992054-7.558580-7.284412-7.212590-6.917059...-7.253714-6.766008-7.068238-7.367529-7.150388-7.410405-6.703763-6.995360-6.065871-6.758592
3.06.0-7.725980-7.325639-7.442557-7.198036-7.397572-7.553975-7.765445-7.294110-7.590233-7.164769...-7.232982-6.890701-7.505684-7.949087-7.758686-7.540327-7.938175-7.430316-7.241608-6.414110
6.09.0-7.533139-7.400362-7.404267-7.763229-7.522435-7.552320-7.549843-7.291199-7.755048-8.007491...-7.548020-8.092056-8.291544-7.739185-7.185783-8.337725-7.858234-7.590393-7.501902-7.350571
9.012.0-7.599768-7.578325-7.766273-7.555595-7.488980-7.718055-7.919895-6.824800-7.935552-7.294801...-7.942136-6.532680-7.171901-7.953568-7.146246-7.186996-8.198207-7.504404-7.072882-6.940329
12.015.0-7.584840-7.605759-7.373960-7.537563-7.546284-7.816696-7.939711-7.335641-7.677889-7.681836...-7.378137-7.354167-7.151442-8.049701-7.743030-7.387307-7.750637-6.906070-7.204572-5.639149
\n", "

5 rows × 333 columns

\n", "" ], "text/plain": [ " American Bullfrog American Toad \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.189047 -7.240286 \n", " 3.0 6.0 -7.725980 -7.325639 \n", " 6.0 9.0 -7.533139 -7.400362 \n", " 9.0 12.0 -7.599768 -7.578325 \n", " 12.0 15.0 -7.584840 -7.605759 \n", "\n", " Boreal Chorus Frog Canine Canadian Toad \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.408662 -6.765031 -7.293872 \n", " 3.0 6.0 -7.442557 -7.198036 -7.397572 \n", " 6.0 9.0 -7.404267 -7.763229 -7.522435 \n", " 9.0 12.0 -7.766273 -7.555595 -7.488980 \n", " 12.0 15.0 -7.373960 -7.537563 -7.546284 \n", "\n", " Gray Treefrog Great Plains Toad Green Frog \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.992054 -7.558580 -7.284412 \n", " 3.0 6.0 -7.553975 -7.765445 -7.294110 \n", " 6.0 9.0 -7.552320 -7.549843 -7.291199 \n", " 9.0 12.0 -7.718055 -7.919895 -6.824800 \n", " 12.0 15.0 -7.816696 -7.939711 -7.335641 \n", "\n", " Leopard Frog Mashup ... Yellow Rail \\\n", "file start_time end_time ... \n", "./1min.wav 0.0 3.0 -7.212590 -6.917059 ... -7.253714 \n", " 3.0 6.0 -7.590233 -7.164769 ... -7.232982 \n", " 6.0 9.0 -7.755048 -8.007491 ... -7.548020 \n", " 9.0 12.0 -7.935552 -7.294801 ... -7.942136 \n", " 12.0 15.0 -7.677889 -7.681836 ... -7.378137 \n", "\n", " Yellow Warbler Yellow-bellied Flycatcher \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.766008 -7.068238 \n", " 3.0 6.0 -6.890701 -7.505684 \n", " 6.0 9.0 -8.092056 -8.291544 \n", " 9.0 12.0 -6.532680 -7.171901 \n", " 12.0 15.0 -7.354167 -7.151442 \n", "\n", " Yellow-bellied Sapsucker \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.367529 \n", " 3.0 6.0 -7.949087 \n", " 6.0 9.0 -7.739185 \n", " 9.0 12.0 -7.953568 \n", " 12.0 15.0 -8.049701 \n", "\n", " Yellow-billed Cuckoo Yellow-breasted Chat \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.150388 -7.410405 \n", " 3.0 6.0 -7.758686 -7.540327 \n", " 6.0 9.0 -7.185783 -8.337725 \n", " 9.0 12.0 -7.146246 -7.186996 \n", " 12.0 15.0 -7.743030 -7.387307 \n", "\n", " Yellow-headed Blackbird \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.703763 \n", " 3.0 6.0 -7.938175 \n", " 6.0 9.0 -7.858234 \n", " 9.0 12.0 -8.198207 \n", " 12.0 15.0 -7.750637 \n", "\n", " Yellow-rumped Warbler Yellow-throated Vireo \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.995360 -6.065871 \n", " 3.0 6.0 -7.430316 -7.241608 \n", " 6.0 9.0 -7.590393 -7.501902 \n", " 9.0 12.0 -7.504404 -7.072882 \n", " 12.0 15.0 -6.906070 -7.204572 \n", "\n", " Yellow-throated Warbler \n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.758592 \n", " 3.0 6.0 -6.414110 \n", " 6.0 9.0 -7.350571 \n", " 9.0 12.0 -6.940329 \n", " 12.0 15.0 -5.639149 \n", "\n", "[5 rows x 333 columns]" ] }, "execution_count": 21, "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 windows for clips:" ] }, { "cell_type": "code", "execution_count": 22, "id": "45acfdb7", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "419f332095e6481a96f4619f3ce18da8", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/39 [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 FrogLeopard FrogMashup...Yellow RailYellow WarblerYellow-bellied FlycatcherYellow-bellied SapsuckerYellow-billed CuckooYellow-breasted ChatYellow-headed BlackbirdYellow-rumped WarblerYellow-throated VireoYellow-throated Warbler
filestart_timeend_time
./1min.wav0.03.0-7.189047-7.240286-7.408662-6.765031-7.293872-6.992054-7.558580-7.284412-7.212590-6.917059...-7.253714-6.766008-7.068238-7.367529-7.150388-7.410405-6.703763-6.995360-6.065871-6.758592
1.54.5-7.237006-7.203690-7.045453-6.917796-7.337045-7.181453-7.173830-7.370400-7.264493-7.250545...-7.307488-7.038718-6.933660-7.530724-7.273841-7.520139-6.987049-6.800762-6.503616-6.010808
3.06.0-7.725980-7.325639-7.442557-7.198036-7.397572-7.553975-7.765445-7.294110-7.590233-7.164769...-7.232982-6.890701-7.505684-7.949087-7.758686-7.540327-7.938175-7.430316-7.241608-6.414110
4.57.5-7.609703-7.374477-7.552007-7.597042-7.464030-7.648675-7.610594-7.360088-7.546871-6.795952...-7.484615-6.586647-8.068594-7.812624-7.672130-7.670215-7.642901-7.957491-7.306870-6.905737
6.09.0-7.533139-7.400362-7.404267-7.763229-7.522435-7.552320-7.549843-7.291199-7.755048-8.007491...-7.548020-8.092056-8.291544-7.739185-7.185783-8.337725-7.858234-7.590393-7.501902-7.350571
\n", "

5 rows × 333 columns

\n", "" ], "text/plain": [ " American Bullfrog American Toad \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.189047 -7.240286 \n", " 1.5 4.5 -7.237006 -7.203690 \n", " 3.0 6.0 -7.725980 -7.325639 \n", " 4.5 7.5 -7.609703 -7.374477 \n", " 6.0 9.0 -7.533139 -7.400362 \n", "\n", " Boreal Chorus Frog Canine Canadian Toad \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.408662 -6.765031 -7.293872 \n", " 1.5 4.5 -7.045453 -6.917796 -7.337045 \n", " 3.0 6.0 -7.442557 -7.198036 -7.397572 \n", " 4.5 7.5 -7.552007 -7.597042 -7.464030 \n", " 6.0 9.0 -7.404267 -7.763229 -7.522435 \n", "\n", " Gray Treefrog Great Plains Toad Green Frog \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.992054 -7.558580 -7.284412 \n", " 1.5 4.5 -7.181453 -7.173830 -7.370400 \n", " 3.0 6.0 -7.553975 -7.765445 -7.294110 \n", " 4.5 7.5 -7.648675 -7.610594 -7.360088 \n", " 6.0 9.0 -7.552320 -7.549843 -7.291199 \n", "\n", " Leopard Frog Mashup ... Yellow Rail \\\n", "file start_time end_time ... \n", "./1min.wav 0.0 3.0 -7.212590 -6.917059 ... -7.253714 \n", " 1.5 4.5 -7.264493 -7.250545 ... -7.307488 \n", " 3.0 6.0 -7.590233 -7.164769 ... -7.232982 \n", " 4.5 7.5 -7.546871 -6.795952 ... -7.484615 \n", " 6.0 9.0 -7.755048 -8.007491 ... -7.548020 \n", "\n", " Yellow Warbler Yellow-bellied Flycatcher \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.766008 -7.068238 \n", " 1.5 4.5 -7.038718 -6.933660 \n", " 3.0 6.0 -6.890701 -7.505684 \n", " 4.5 7.5 -6.586647 -8.068594 \n", " 6.0 9.0 -8.092056 -8.291544 \n", "\n", " Yellow-bellied Sapsucker \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.367529 \n", " 1.5 4.5 -7.530724 \n", " 3.0 6.0 -7.949087 \n", " 4.5 7.5 -7.812624 \n", " 6.0 9.0 -7.739185 \n", "\n", " Yellow-billed Cuckoo Yellow-breasted Chat \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -7.150388 -7.410405 \n", " 1.5 4.5 -7.273841 -7.520139 \n", " 3.0 6.0 -7.758686 -7.540327 \n", " 4.5 7.5 -7.672130 -7.670215 \n", " 6.0 9.0 -7.185783 -8.337725 \n", "\n", " Yellow-headed Blackbird \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.703763 \n", " 1.5 4.5 -6.987049 \n", " 3.0 6.0 -7.938175 \n", " 4.5 7.5 -7.642901 \n", " 6.0 9.0 -7.858234 \n", "\n", " Yellow-rumped Warbler Yellow-throated Vireo \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.995360 -6.065871 \n", " 1.5 4.5 -6.800762 -6.503616 \n", " 3.0 6.0 -7.430316 -7.241608 \n", " 4.5 7.5 -7.957491 -7.306870 \n", " 6.0 9.0 -7.590393 -7.501902 \n", "\n", " Yellow-throated Warbler \n", "file start_time end_time \n", "./1min.wav 0.0 3.0 -6.758592 \n", " 1.5 4.5 -6.010808 \n", " 3.0 6.0 -6.414110 \n", " 4.5 7.5 -6.905737 \n", " 6.0 9.0 -7.350571 \n", "\n", "[5 rows x 333 columns]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scores = hawkears.predict(audio_files, clip_overlap_fraction=0.5)\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": 23, "id": "dcb533fc", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/SML161/opensoundscape/opensoundscape/ml/dataloaders.py:97: DeprecationWarning: `overlap_fraction` argument is deprecated and will be removed in a future version. Use `clip_overlap_fraction` instead.\n", " warnings.warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1684973fb26a43889a1c27471a55daee", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/39 [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 FrogLeopard FrogMashup...Yellow RailYellow WarblerYellow-bellied FlycatcherYellow-bellied SapsuckerYellow-billed CuckooYellow-breasted ChatYellow-headed BlackbirdYellow-rumped WarblerYellow-throated VireoYellow-throated Warbler
filestart_timeend_time
./1min.wav0.03.00.0007540.0007170.0006060.0011520.0006790.0009180.0005210.0006860.0007370.000990...0.0007070.0011510.0008510.0006310.0007840.0006050.0012250.0009150.0023150.001160
1.54.50.0007190.0007430.0008710.0009890.0006510.0007600.0007660.0006290.0006990.000709...0.0006700.0008760.0009730.0005360.0006930.0005420.0009230.0011120.0014960.002446
3.06.00.0004410.0006580.0005850.0007470.0006120.0005240.0004240.0006790.0005050.000773...0.0007220.0010160.0005500.0003530.0004270.0005310.0003570.0005930.0007160.001636
4.57.50.0004950.0006270.0005250.0005020.0005730.0004760.0004950.0006360.0005270.001117...0.0005610.0013770.0003130.0004040.0004650.0004660.0004790.0003500.0006700.001001
6.09.00.0005350.0006110.0006080.0004250.0005410.0005250.0005260.0006810.0004280.000333...0.0005270.0003060.0002510.0004350.0007570.0002390.0003860.0005050.0005520.000642
\n", "

5 rows × 333 columns

\n", "" ], "text/plain": [ " American Bullfrog American Toad \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000754 0.000717 \n", " 1.5 4.5 0.000719 0.000743 \n", " 3.0 6.0 0.000441 0.000658 \n", " 4.5 7.5 0.000495 0.000627 \n", " 6.0 9.0 0.000535 0.000611 \n", "\n", " Boreal Chorus Frog Canine Canadian Toad \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000606 0.001152 0.000679 \n", " 1.5 4.5 0.000871 0.000989 0.000651 \n", " 3.0 6.0 0.000585 0.000747 0.000612 \n", " 4.5 7.5 0.000525 0.000502 0.000573 \n", " 6.0 9.0 0.000608 0.000425 0.000541 \n", "\n", " Gray Treefrog Great Plains Toad Green Frog \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000918 0.000521 0.000686 \n", " 1.5 4.5 0.000760 0.000766 0.000629 \n", " 3.0 6.0 0.000524 0.000424 0.000679 \n", " 4.5 7.5 0.000476 0.000495 0.000636 \n", " 6.0 9.0 0.000525 0.000526 0.000681 \n", "\n", " Leopard Frog Mashup ... Yellow Rail \\\n", "file start_time end_time ... \n", "./1min.wav 0.0 3.0 0.000737 0.000990 ... 0.000707 \n", " 1.5 4.5 0.000699 0.000709 ... 0.000670 \n", " 3.0 6.0 0.000505 0.000773 ... 0.000722 \n", " 4.5 7.5 0.000527 0.001117 ... 0.000561 \n", " 6.0 9.0 0.000428 0.000333 ... 0.000527 \n", "\n", " Yellow Warbler Yellow-bellied Flycatcher \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.001151 0.000851 \n", " 1.5 4.5 0.000876 0.000973 \n", " 3.0 6.0 0.001016 0.000550 \n", " 4.5 7.5 0.001377 0.000313 \n", " 6.0 9.0 0.000306 0.000251 \n", "\n", " Yellow-bellied Sapsucker \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000631 \n", " 1.5 4.5 0.000536 \n", " 3.0 6.0 0.000353 \n", " 4.5 7.5 0.000404 \n", " 6.0 9.0 0.000435 \n", "\n", " Yellow-billed Cuckoo Yellow-breasted Chat \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000784 0.000605 \n", " 1.5 4.5 0.000693 0.000542 \n", " 3.0 6.0 0.000427 0.000531 \n", " 4.5 7.5 0.000465 0.000466 \n", " 6.0 9.0 0.000757 0.000239 \n", "\n", " Yellow-headed Blackbird \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.001225 \n", " 1.5 4.5 0.000923 \n", " 3.0 6.0 0.000357 \n", " 4.5 7.5 0.000479 \n", " 6.0 9.0 0.000386 \n", "\n", " Yellow-rumped Warbler Yellow-throated Vireo \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000915 0.002315 \n", " 1.5 4.5 0.001112 0.001496 \n", " 3.0 6.0 0.000593 0.000716 \n", " 4.5 7.5 0.000350 0.000670 \n", " 6.0 9.0 0.000505 0.000552 \n", "\n", " Yellow-throated Warbler \n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.001160 \n", " 1.5 4.5 0.002446 \n", " 3.0 6.0 0.001636 \n", " 4.5 7.5 0.001001 \n", " 6.0 9.0 0.000642 \n", "\n", "[5 rows x 333 columns]" ] }, "execution_count": 23, "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 label the highest scoring class 1 for each sample, and other classes 0. " ] }, { "cell_type": "code", "execution_count": 24, "id": "3a1bf5f6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "American Redstart 1\n", "Hooded Warbler 4\n", "Wood Thrush 1\n", "dtype: int64" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from opensoundscape.metrics import predict_multi_target_labels\n", "\n", "predicted_labels = predict_multi_target_labels(scores, threshold=0.9)\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": 25, "id": "c3559078", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 25, "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": 26, "id": "8cd90687", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.9/site-packages/matplotlib_inline/config.py:68: DeprecationWarning: InlineBackend._figure_format_changed is deprecated in traitlets 4.1: use @observe and @unobserve instead.\n", " def _figure_format_changed(self, name, old, new):\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "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": 27, "id": "8341d531", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3bf8e3de4cef4f418b2bbd76ff1969ce", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/20 [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", "
0123456789...2038203920402041204220432044204520462047
filestart_timeend_time
./1min.wav0.03.00.00.00.0153070.00.0127680.00.00.0000000.032810.0...0.0548300.00.0234280.00.000000.00.00.0000000.00.0
3.06.00.00.00.0500270.00.0911750.00.00.1145960.000000.0...0.1463610.00.1042570.00.000000.00.00.0327790.00.0
6.09.00.00.00.1343510.00.0000000.00.00.0000000.000000.0...0.1045460.00.0129090.00.000000.00.00.0368930.00.0
9.012.00.00.00.0630120.00.0689820.00.00.0172180.000000.0...0.0982950.00.0208150.00.000000.00.00.0000000.00.0
12.015.00.00.00.0550980.00.0811350.00.00.0000000.000000.0...0.0409540.00.1071430.00.112120.00.00.0377640.00.0
\n", "

5 rows × 2048 columns

\n", "" ], "text/plain": [ " 0 1 2 3 4 5 \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.0 0.0 0.015307 0.0 0.012768 0.0 \n", " 3.0 6.0 0.0 0.0 0.050027 0.0 0.091175 0.0 \n", " 6.0 9.0 0.0 0.0 0.134351 0.0 0.000000 0.0 \n", " 9.0 12.0 0.0 0.0 0.063012 0.0 0.068982 0.0 \n", " 12.0 15.0 0.0 0.0 0.055098 0.0 0.081135 0.0 \n", "\n", " 6 7 8 9 ... 2038 \\\n", "file start_time end_time ... \n", "./1min.wav 0.0 3.0 0.0 0.000000 0.03281 0.0 ... 0.054830 \n", " 3.0 6.0 0.0 0.114596 0.00000 0.0 ... 0.146361 \n", " 6.0 9.0 0.0 0.000000 0.00000 0.0 ... 0.104546 \n", " 9.0 12.0 0.0 0.017218 0.00000 0.0 ... 0.098295 \n", " 12.0 15.0 0.0 0.000000 0.00000 0.0 ... 0.040954 \n", "\n", " 2039 2040 2041 2042 2043 2044 \\\n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.0 0.023428 0.0 0.00000 0.0 0.0 \n", " 3.0 6.0 0.0 0.104257 0.0 0.00000 0.0 0.0 \n", " 6.0 9.0 0.0 0.012909 0.0 0.00000 0.0 0.0 \n", " 9.0 12.0 0.0 0.020815 0.0 0.00000 0.0 0.0 \n", " 12.0 15.0 0.0 0.107143 0.0 0.11212 0.0 0.0 \n", "\n", " 2045 2046 2047 \n", "file start_time end_time \n", "./1min.wav 0.0 3.0 0.000000 0.0 0.0 \n", " 3.0 6.0 0.032779 0.0 0.0 \n", " 6.0 9.0 0.036893 0.0 0.0 \n", " 9.0 12.0 0.000000 0.0 0.0 \n", " 12.0 15.0 0.037764 0.0 0.0 \n", "\n", "[5 rows x 2048 columns]" ] }, "execution_count": 27, "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": 28, "id": "00b4b51c-6a56-4cca-a43c-d3893968d137", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 1204, "width": 1617 } }, "output_type": "display_data" } ], "source": [ "from opensoundscape.preprocess.utils import show_tensor_grid\n", "from opensoundscape.ml.datasets import AudioSplittingDataset\n", "\n", "# generate a dataset with the samples we wish to generate and the model's preprocessor\n", "inspection_dataset = AudioSplittingDataset(audio_files, hawkears.preprocessor)\n", "inspection_dataset.bypass_augmentations = True\n", "\n", "samples = [sample.data for sample in inspection_dataset.head(8)]\n", "_ = show_tensor_grid(samples, 4)\n", "\n", "# here we can see that hawkears produces \"upside down\" samples where the low frequencies are at the top of the image" ] }, { "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()" ] } ], "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 }