From ca13028b4773b0e3a15830f151090eeda8efd40d Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 21:35:14 -0400 Subject: [PATCH 01/47] Add some pre-generated outputs for prediction tests --- tests/resources/vocadito_10/model_output.npz | Bin 0 -> 1377070 bytes tests/resources/vocadito_10/note_events.npz | Bin 0 -> 19301 bytes tests/test_inference.py | 13 +++++++++++++ 3 files changed, 13 insertions(+) create mode 100644 tests/resources/vocadito_10/model_output.npz create mode 100644 tests/resources/vocadito_10/note_events.npz diff --git a/tests/resources/vocadito_10/model_output.npz b/tests/resources/vocadito_10/model_output.npz new file mode 100644 index 0000000000000000000000000000000000000000..8719f8a802f08e594e491645fb080df5e3159d2c GIT binary patch literal 1377070 zcmbSz1y@!3*EM!wD;9POcE`lP?rufJz(ldT6AQ)e2J8-0;Ka_ePZy2daqae<{-1B~ z-ZAdDUd0o8|JGWw*6!OQN6r#H|MyR2pZ;y%E^W8p*XQ5A1$;{Qgoe+U6FxVh-i((SLvZ@1LE$2leVZESt|fpT#xDPnaDVQL|O0nr$XFsTo+Q=EU%bIT2%L 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z_s|&?6>ay_A3Fs{ga^h+7x%yYY^&J)2L#0Y=j8zLldina{`ZfS`taGiW1b!RL#86a V None: assert all(note_pitch_max) assert isinstance(note_events, list) + expected_model_output = np.load("tests/resources/vocadito_10/model_output.npz") + for k in expected_model_output.keys(): + np.testing.assert_allclose(expected_model_output[k], model_output[k], atol=1e-4, rtol=0) + + expected_note_events = np.load("tests/resources/vocadito_10/note_events.npz", allow_pickle=True) + expected_note_events = expected_note_events.get("arr_0") + + assert len(expected_note_events) == len(note_events) + for expected, calculated in zip(expected_note_events, note_events): + for i in range(len(expected)): + np.testing.assert_allclose(expected[i], calculated[i], atol=1e-4, rtol=0) + def test_predict_with_saves(self) -> None: test_audio_path = RESOURCES_PATH / "vocadito_10.wav" with tempfile.TemporaryDirectory() as tmpdir: From 8d9daa9243644391ffdf11b15521d79203690de7 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 21:08:11 -0400 Subject: [PATCH 02/47] Refactor inference so we can add more model types --- basic_pitch/__init__.py | 19 ++++++- basic_pitch/inference.py | 115 +++++++++++++++++++++++++++------------ basic_pitch/predict.py | 7 ++- setup.cfg | 70 ++++++++++++++++++++++++ tests/test_inference.py | 19 +++---- tox.ini | 12 +++- 6 files changed, 191 insertions(+), 51 deletions(-) create mode 100644 setup.cfg diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index bde0d4a8..e3908473 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -15,6 +15,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +import logging import pathlib __author__ = "Spotify" @@ -24,4 +25,20 @@ __description__ = "Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection." __url__ = "https://github.com/spotify/basic-pitch" -ICASSP_2022_MODEL_PATH = pathlib.Path(__file__).parent / "saved_models/icassp_2022/nmp" + +try: + import tensorflow as tf + + TF_PRESENT = True +except ImportError: + TF_PRESENT = False + logging.warning( + "Tensorflow is not installed. " + "If you plan to use a TF Saved Model, " + "reinstall basic-pitch with `pip install 'basic-pitch[tf]'`" + ) + +if TF_PRESENT: + _filename = "nmp" + +ICASSP_2022_MODEL_PATH = pathlib.Path(__file__).parent / "saved_models/icassp_2022" / _filename diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index be521a15..f770f6c4 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -20,10 +20,31 @@ import json import os import pathlib -from typing import Dict, List, Optional, Sequence, Tuple, Union +from typing import Dict, List, Optional, Sequence, Tuple, Union, cast + + +try: + import tensorflow as tf +except ImportError: + pass + +try: + import coremltools as ct +except ImportError: + pass + +try: + import tflite_runtime.interpreter as tflite +except ImportError: + pass + +try: + import onnxruntime as ort +except ImportError: + pass -from tensorflow import Tensor, signal, keras, saved_model import numpy as np +import numpy.typing as npt import librosa import pretty_midi @@ -33,16 +54,43 @@ ANNOTATIONS_FPS, FFT_HOP, ) -from basic_pitch import ICASSP_2022_MODEL_PATH, note_creation as infer +from basic_pitch import TF_PRESENT from basic_pitch.commandline_printing import ( generating_file_message, no_tf_warnings, file_saved_confirmation, failed_to_save, ) +import basic_pitch.note_creation as infer + + +class Model: + class MODEL_TYPES(enum.Enum): + TENSORFLOW = enum.auto() + + def __init__(self, model_path: Union[pathlib.Path, str]): + if TF_PRESENT: + try: + self.model_type = Model.MODEL_TYPES.TENSORFLOW + self.model = tf.saved_model.load(model_path) + return + except Exception: + pass + + raise ValueError( + f"File {model_path} cannot be loaded into either " + "TensorFlow, CoreML, TFLite or ONNX. " + "Please check if it is a supported and valid serialized model" + ) + + def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float32]]: + if self.model_type == Model.MODEL_TYPES.TENSORFLOW: + return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} -def window_audio_file(audio_original: Tensor, hop_size: int) -> Tuple[Tensor, List[Dict[str, int]]]: +def window_audio_file( + audio_original: npt.NDArray[np.float32], hop_size: int +) -> Tuple[npt.NDArray[np.float32], List[Dict[str, int]]]: """ Pad appropriately an audio file, and return as windowed signal, with window length = AUDIO_N_SAMPLES @@ -53,10 +101,13 @@ def window_audio_file(audio_original: Tensor, hop_size: int) -> Tuple[Tensor, Li window_times: list of {'start':.., 'end':...} objects (times in seconds) """ - from tensorflow import expand_dims # imporing this here so the module loads faster - - audio_windowed = expand_dims( - signal.frame(audio_original, AUDIO_N_SAMPLES, hop_size, pad_end=True, pad_value=0), + audio_windowed = np.expand_dims( + librosa.util.frame( + librosa.util.fix_length(audio_original, size=(audio_original.shape[0] // hop_size + 2) * hop_size), + frame_length=AUDIO_N_SAMPLES, + hop_length=hop_size, + axis=0, + ), axis=-1, ) window_times = [ @@ -71,7 +122,7 @@ def window_audio_file(audio_original: Tensor, hop_size: int) -> Tuple[Tensor, Li def get_audio_input( audio_path: Union[pathlib.Path, str], overlap_len: int, hop_size: int -) -> Tuple[Tensor, List[Dict[str, int]], int]: +) -> Tuple[npt.NDArray[np.float32], List[Dict[str, int]], int]: """ Read wave file (as mono), pad appropriately, and return as windowed signal, with window length = AUDIO_N_SAMPLES @@ -91,10 +142,11 @@ def get_audio_input( original_length = audio_original.shape[0] audio_original = np.concatenate([np.zeros((int(overlap_len / 2),), dtype=np.float32), audio_original]) audio_windowed, window_times = window_audio_file(audio_original, hop_size) - return audio_windowed, window_times, original_length + for window, window_time in zip(audio_windowed, window_times): + yield np.expand_dims(window, axis=0), window_time, original_length -def unwrap_output(output: Tensor, audio_original_length: int, n_overlapping_frames: int) -> np.array: +def unwrap_output(output: npt.NDArray[np.float32], audio_original_length: int, n_overlapping_frames: int) -> np.array: """Unwrap batched model predictions to a single matrix. Args: @@ -105,31 +157,30 @@ def unwrap_output(output: Tensor, audio_original_length: int, n_overlapping_fram Returns: array (n_times, n_freqs) """ - raw_output = output.numpy() - if len(raw_output.shape) != 3: + if len(output.shape) != 3: return None n_olap = int(0.5 * n_overlapping_frames) if n_olap > 0: # remove half of the overlapping frames from beginning and end - raw_output = raw_output[:, n_olap:-n_olap, :] + output = output[:, n_olap:-n_olap, :] - output_shape = raw_output.shape + output_shape = output.shape n_output_frames_original = int(np.floor(audio_original_length * (ANNOTATIONS_FPS / AUDIO_SAMPLE_RATE))) - unwrapped_output = raw_output.reshape(output_shape[0] * output_shape[1], output_shape[2]) + unwrapped_output = output.reshape(output_shape[0] * output_shape[1], output_shape[2]) return unwrapped_output[:n_output_frames_original, :] # trim to original audio length def run_inference( audio_path: Union[pathlib.Path, str], - model: keras.Model, + model: Model, debug_file: Optional[pathlib.Path] = None, ) -> Dict[str, np.array]: """Run the model on the input audio path. Args: audio_path: The audio to run inference on. - model: A loaded keras model to run inference with. + model: A loaded model to run inference with. debug_file: An optional path to output debug data to. Useful for testing/verification. Returns: @@ -140,10 +191,14 @@ def run_inference( overlap_len = n_overlapping_frames * FFT_HOP hop_size = AUDIO_N_SAMPLES - overlap_len - audio_windowed, _, audio_original_length = get_audio_input(audio_path, overlap_len, hop_size) + output = {"note": [], "onset": [], "contour": []} + for audio_windowed, _, audio_original_length in get_audio_input(audio_path, overlap_len, hop_size): + for k, v in model.predict(audio_windowed).items(): + output[k].append(v) - output = model(audio_windowed) - unwrapped_output = {k: unwrap_output(output[k], audio_original_length, n_overlapping_frames) for k in output} + unwrapped_output = { + k: unwrap_output(np.concatenate(output[k]), audio_original_length, n_overlapping_frames) for k in output + } if debug_file: with open(debug_file, "w") as f: @@ -261,7 +316,7 @@ def save_note_events( def predict( audio_path: Union[pathlib.Path, str], - model_or_model_path: Union[keras.Model, pathlib.Path, str] = ICASSP_2022_MODEL_PATH, + model: Model, onset_threshold: float = 0.5, frame_threshold: float = 0.3, minimum_note_length: float = 127.70, @@ -276,7 +331,7 @@ def predict( Args: audio_path: File path for the audio to run inference on. - model_or_model_path: Path to load the Keras saved model from. Can be local or on GCS. + model: A loaded Model. onset_threshold: Minimum energy required for an onset to be considered present. frame_threshold: Minimum energy requirement for a frame to be considered present. minimum_note_length: The minimum allowed note length in milliseconds. @@ -290,14 +345,6 @@ def predict( """ with no_tf_warnings(): - # It's convenient to be able to pass in a keras saved model so if - # someone wants to place this function in a loop, - # the model doesn't have to be reloaded every function call - if isinstance(model_or_model_path, (pathlib.Path, str)): - model = saved_model.load(str(model_or_model_path)) - else: - model = model_or_model_path - print(f"Predicting MIDI for {audio_path}...") model_output = run_inference(audio_path, model, debug_file) @@ -348,7 +395,7 @@ def predict_and_save( sonify_midi: bool, save_model_outputs: bool, save_notes: bool, - model_path: Union[pathlib.Path, str] = ICASSP_2022_MODEL_PATH, + model: Model, onset_threshold: float = 0.5, frame_threshold: float = 0.3, minimum_note_length: float = 127.70, @@ -369,7 +416,7 @@ def predict_and_save( sonify_midi: Whether or not to render audio from the MIDI and output it to a file. save_model_outputs: True to save contours, onsets and notes from the model prediction. save_notes: True to save note events. - model_path: Path to load the Keras saved model from. Can be local or on GCS. + model: A loaded model. onset_threshold: Minimum energy required for an onset to be considered present. frame_threshold: Minimum energy requirement for a frame to be considered present. minimum_note_length: The minimum allowed note length in milliseconds. @@ -380,8 +427,6 @@ def predict_and_save( debug_file: An optional path to output debug data to. Useful for testing/verification. sonification_samplerate: Sample rate for rendering audio from MIDI. """ - model = saved_model.load(str(model_path)) - for audio_path in audio_path_list: print("") try: diff --git a/basic_pitch/predict.py b/basic_pitch/predict.py index 76bb8862..1299e63f 100644 --- a/basic_pitch/predict.py +++ b/basic_pitch/predict.py @@ -21,6 +21,7 @@ import traceback from basic_pitch import ICASSP_2022_MODEL_PATH +from basic_pitch.inference import Model os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" @@ -35,7 +36,9 @@ def main() -> None: "--model_path", type=str, default=ICASSP_2022_MODEL_PATH, - help="path to the saved model directory. Defaults to a ICASSP 2022 model", + help="path to the saved model directory. Defaults to a ICASSP 2022 model. " + "The preferred model is determined by the first library available in " + "[tensorflow]", ) parser.add_argument( "--save-midi", @@ -136,7 +139,7 @@ def main() -> None: args.sonify_midi, args.save_model_outputs, args.save_note_events, - pathlib.Path(args.model_path), + Model(pathlib.Path(args.model_path)), args.onset_threshold, args.frame_threshold, args.minimum_note_length, diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 00000000..9b25c3be --- /dev/null +++ b/setup.cfg @@ -0,0 +1,70 @@ +[bumpversion] +current_version = 0.3.0 +commit = True +tag = True + +[metadata] +name = basic-pitch +version = attr: basic_pitch.__version__ +description = Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection. +long_description = Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection. See https://github.com/spotify/basic-pitch for more details. +author = Spotify +author_email = basic-pitch@spotify.com +maintainer = Spotify +maintainer_email = basic-pitch@spotify.com +url = https://github.com/spotify/basic-pitch +keywords = +license = Apache 2.0 +classifiers = + Development Status :: 5 - Production/Stable + Natural Language :: English + Operating System :: POSIX :: Linux + Operating System :: MacOS :: MacOS X + Operating System :: Microsoft :: Windows + Programming Language :: Python + Programming Language :: Python :: 3.7 + Programming Language :: Python :: 3.8 + Programming Language :: Python :: 3.9 + Programming Language :: Python :: 3.10 + Programming Language :: Python :: Implementation :: CPython + +[options] +zip_safe = False +packages = find: +include_package_data = True +install_requires = + librosa>=0.8.0 + mir_eval>=0.6 + numpy<1.24,>=1.18 + pretty_midi>=0.2.9 + resampy>=0.2.2 + scipy>=1.4.1 + tensorflow>=2.4.1; platform_machine != 'arm64' + tensorflow-macos>=2.4.1; platform_machine == 'arm64' + typing_extensions + +[options.entry_points] +console_scripts = + basic-pitch = basic_pitch.predict:main + +[options.extras_require] +test = + coverage>=5.0.2 + pytest>=6.1.1 + pytest-mock +tf = + tensorflow>=2.4.1; platform_system != "Darwin" + tensorflow-macos>=2.4.1; platform_system == "Darwin" +docs = + mkdocs>=1.0.4 +dev = + basic_pitch[test,tf,docs] + bump2version>=1.0.1 + mypy + tox + +[bumpversion:file:basic_pitch/__init__.py] + +[bdist_wheel] +universal = 1 + diff --git a/tests/test_inference.py b/tests/test_inference.py index 2bc1607f..0c9ae739 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -36,7 +36,7 @@ def test_predict(self) -> None: test_audio_path = RESOURCES_PATH / "vocadito_10.wav" model_output, midi_data, note_events = inference.predict( test_audio_path, - ICASSP_2022_MODEL_PATH, + inference.Model(ICASSP_2022_MODEL_PATH), ) assert set(model_output.keys()) == set(["note", "onset", "contour"]) assert model_output["note"].shape == model_output["onset"].shape @@ -64,12 +64,7 @@ def test_predict_with_saves(self) -> None: test_audio_path = RESOURCES_PATH / "vocadito_10.wav" with tempfile.TemporaryDirectory() as tmpdir: inference.predict_and_save( - [test_audio_path], - tmpdir, - True, - True, - True, - True, + [test_audio_path], tmpdir, True, True, True, True, model=inference.Model(ICASSP_2022_MODEL_PATH) ) expected_midi_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.mid") expected_csv_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.csv") @@ -84,7 +79,7 @@ def test_predict_onset_threshold(self) -> None: for onset_threshold in [0, 0.3, 0.8, 1]: inference.predict( test_audio_path, - ICASSP_2022_MODEL_PATH, + inference.Model(ICASSP_2022_MODEL_PATH), onset_threshold=onset_threshold, ) @@ -93,7 +88,7 @@ def test_predict_frame_threshold(self) -> None: for frame_threshold in [0, 0.3, 0.8, 1]: inference.predict( test_audio_path, - ICASSP_2022_MODEL_PATH, + inference.Model(ICASSP_2022_MODEL_PATH), frame_threshold=frame_threshold, ) @@ -102,7 +97,7 @@ def test_predict_min_note_length(self) -> None: for minimum_note_length in [10, 100, 1000]: _, _, note_events = inference.predict( test_audio_path, - ICASSP_2022_MODEL_PATH, + inference.Model(ICASSP_2022_MODEL_PATH), minimum_note_length=minimum_note_length, ) min_len_s = minimum_note_length / 1000.0 @@ -114,7 +109,7 @@ def test_predict_min_freq(self) -> None: for minimum_frequency in [40, 80, 200, 2000]: _, _, note_events = inference.predict( test_audio_path, - ICASSP_2022_MODEL_PATH, + inference.Model(ICASSP_2022_MODEL_PATH), minimum_frequency=minimum_frequency, ) min_freq_midi = np.round(librosa.hz_to_midi(minimum_frequency)) @@ -126,7 +121,7 @@ def test_predict_max_freq(self) -> None: for maximum_frequency in [40, 80, 200, 2000]: _, _, note_events = inference.predict( test_audio_path, - ICASSP_2022_MODEL_PATH, + inference.Model(ICASSP_2022_MODEL_PATH), maximum_frequency=maximum_frequency, ) max_freq_midi = np.round(librosa.hz_to_midi(maximum_frequency)) diff --git a/tox.ini b/tox.ini index b53a493e..a33dad29 100644 --- a/tox.ini +++ b/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py38,py39,py310,py311,manifest,check-formatting,lint,mypy +envlist = py38,py39,py310,py311,minimal,manifest,check-formatting,lint,mypy skipsdist = True usedevelop = True requires = @@ -16,6 +16,16 @@ setenv = TEST_SOURCE = {toxinidir}/tests LINE_LENGTH = "120" +[testenv:minimal] +deps = -e .[test] +basepython=3.10 +commands = + pytest tests --ignore tests/test_nn.py {posargs} +setenv = + SOURCE = {toxinidir}/basic_pitch + TEST_SOURCE = {toxinidir}/tests + LINE_LENGTH = "120" + [testenv:manifest] deps = check-manifest skip_install = true From dfb20ef559dff1792e11e022f3f0c7008c1dee6d Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 21:11:11 -0400 Subject: [PATCH 03/47] Add onnx serialized model --- basic_pitch/__init__.py | 14 ++++++++++++++ basic_pitch/inference.py | 13 ++++++++++++- basic_pitch/predict.py | 2 +- basic_pitch/saved_models/icassp_2022/nmp.onnx | Bin 0 -> 230444 bytes setup.cfg | 7 ++++--- 5 files changed, 31 insertions(+), 5 deletions(-) create mode 100644 basic_pitch/saved_models/icassp_2022/nmp.onnx diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index e3908473..d8b78b24 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -38,7 +38,21 @@ "reinstall basic-pitch with `pip install 'basic-pitch[tf]'`" ) +try: + import onnxruntime as ort + + ONNX_PRESENT = True +except ImportError: + ONNX_PRESENT = False + logging.warning( + "onnxruntime is not installed. " + "If you plan to use an ONNX Model, " + "reinstall basic-pitch with `pip install 'basic-pitch[onnx]'`" + ) + if TF_PRESENT: _filename = "nmp" +elif ONNX_PRESENT: + _filename = "nmp.onnx" ICASSP_2022_MODEL_PATH = pathlib.Path(__file__).parent / "saved_models/icassp_2022" / _filename diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index f770f6c4..a116059d 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -54,7 +54,7 @@ ANNOTATIONS_FPS, FFT_HOP, ) -from basic_pitch import TF_PRESENT +from basic_pitch import ONNX_PRESENT, TF_PRESENT from basic_pitch.commandline_printing import ( generating_file_message, no_tf_warnings, @@ -67,6 +67,7 @@ class Model: class MODEL_TYPES(enum.Enum): TENSORFLOW = enum.auto() + ONNX = enum.auto() def __init__(self, model_path: Union[pathlib.Path, str]): if TF_PRESENT: @@ -77,6 +78,14 @@ def __init__(self, model_path: Union[pathlib.Path, str]): except Exception: pass + if ONNX_PRESENT: + try: + self.model_type = Model.MODEL_TYPES.ONNX + self.model = ort.InferenceSession(model_path) + return + except Exception: + pass + raise ValueError( f"File {model_path} cannot be loaded into either " "TensorFlow, CoreML, TFLite or ONNX. " @@ -86,6 +95,8 @@ def __init__(self, model_path: Union[pathlib.Path, str]): def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float32]]: if self.model_type == Model.MODEL_TYPES.TENSORFLOW: return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} + elif self.model_type == Model.MODEL_TYPES.ONNX: + return cast(ort.InferenceSession, self.model).run(["note", "onset", "contour"], {"input": x}) def window_audio_file( diff --git a/basic_pitch/predict.py b/basic_pitch/predict.py index 1299e63f..ecdbf5d2 100644 --- a/basic_pitch/predict.py +++ b/basic_pitch/predict.py @@ -38,7 +38,7 @@ def main() -> None: default=ICASSP_2022_MODEL_PATH, help="path to the saved model directory. Defaults to a ICASSP 2022 model. 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+54,12 @@ test = tf = tensorflow>=2.4.1; platform_system != "Darwin" tensorflow-macos>=2.4.1; platform_system == "Darwin" +onnx = + onnxruntime docs = mkdocs>=1.0.4 dev = - basic_pitch[test,tf,docs] + basic_pitch[test,tf,onnx,docs] bump2version>=1.0.1 mypy tox From 5ceb6450f265aa992bfae7d5d57a65f04d971b32 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 21:12:36 -0400 Subject: [PATCH 04/47] Add TFLite serialized model --- basic_pitch/__init__.py | 15 +++++++++++++++ basic_pitch/inference.py | 16 +++++++++++++++- basic_pitch/predict.py | 2 +- .../saved_models/icassp_2022/nmp.tflite | Bin 0 -> 204448 bytes setup.cfg | 1 + 5 files changed, 32 insertions(+), 2 deletions(-) create mode 100644 basic_pitch/saved_models/icassp_2022/nmp.tflite diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index d8b78b24..64761f22 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -38,6 +38,19 @@ "reinstall basic-pitch with `pip install 'basic-pitch[tf]'`" ) +try: + import tflite_runtime.interpreter as tflite + + TFLITE_PRESENT = True +except ImportError: + TFLITE_PRESENT = False + logging.warning( + "tflite-runtime is not installed. " + "If you plan to use a TFLite Model, " + "reinstall basic-pitch with `pip install 'basic-pitch tflite-runtime'` or " + "`pip install 'basic-pitch[tf]'" + ) + try: import onnxruntime as ort @@ -52,6 +65,8 @@ if TF_PRESENT: _filename = "nmp" +elif TFLITE_PRESENT: + _filename = "nmp.tflite" elif ONNX_PRESENT: _filename = "nmp.onnx" diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index a116059d..36c130e1 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -54,7 +54,7 @@ ANNOTATIONS_FPS, FFT_HOP, ) -from basic_pitch import ONNX_PRESENT, TF_PRESENT +from basic_pitch import ONNX_PRESENT, TF_PRESENT, TFLITE_PRESENT from basic_pitch.commandline_printing import ( generating_file_message, no_tf_warnings, @@ -67,6 +67,7 @@ class Model: class MODEL_TYPES(enum.Enum): TENSORFLOW = enum.auto() + TFLITE = enum.auto() ONNX = enum.auto() def __init__(self, model_path: Union[pathlib.Path, str]): @@ -78,6 +79,17 @@ def __init__(self, model_path: Union[pathlib.Path, str]): except Exception: pass + + if TFLITE_PRESENT: + try: + self.model_type = Model.MODEL_TYPES.TFLITE + self.interpreter = tflite.Interpreter(model_path=model_path) + self.interpreter.allocate_tensors() + self.model = self.interpreter.get_signature_runner() + return + except Exception: + pass + if ONNX_PRESENT: try: self.model_type = Model.MODEL_TYPES.ONNX @@ -95,6 +107,8 @@ def __init__(self, model_path: Union[pathlib.Path, str]): def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float32]]: if self.model_type == Model.MODEL_TYPES.TENSORFLOW: return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} + elif self.model_type == Model.MODEL_TYPES.TFLITE: + return cast(tflite.Interpreter, self.model)(x) elif self.model_type == Model.MODEL_TYPES.ONNX: return cast(ort.InferenceSession, self.model).run(["note", "onset", "contour"], {"input": x}) diff --git a/basic_pitch/predict.py b/basic_pitch/predict.py index ecdbf5d2..dfec692e 100644 --- a/basic_pitch/predict.py +++ b/basic_pitch/predict.py @@ -38,7 +38,7 @@ def main() -> None: default=ICASSP_2022_MODEL_PATH, help="path to the saved model directory. Defaults to a ICASSP 2022 model. 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zNjzyY)+LWZ#`eLR7H>*@<7>_rPJtzNMeY>Aixw|l1W#BzaTP3ka*)TfU|H)ScSm3m zo=22P>_S!|u*_S?{dKU+Bgp&~Sk|VvYB~9_P}2r(|)7r9fxW;>kSc*XA`N=1j-2zwi%zO9MCn literal 0 HcmV?d00001 diff --git a/setup.cfg b/setup.cfg index 756c6d32..a06c8e42 100644 --- a/setup.cfg +++ b/setup.cfg @@ -40,6 +40,7 @@ install_requires = pretty_midi>=0.2.9 resampy>=0.2.2 scipy>=1.4.1 + tflite-runtime>=2.4.1; platform_system == "Linux" typing_extensions [options.entry_points] From 5d575a38c38ef1ced34e3ada8b25b69e8eccf5d2 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 21:12:59 -0400 Subject: [PATCH 05/47] Add CoreML serialized model --- basic_pitch/__init__.py | 14 ++++++++++++++ basic_pitch/inference.py | 12 +++++++++++- basic_pitch/predict.py | 2 +- .../Data/com.apple.CoreML/model.mlmodel | Bin 0 -> 122834 bytes .../Data/com.apple.CoreML/weights/weight.bin | Bin 0 -> 145956 bytes .../icassp_2022/nmp.mlpackage/Manifest.json | 18 ++++++++++++++++++ setup.cfg | 5 ++++- 7 files changed, 48 insertions(+), 3 deletions(-) create mode 100644 basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Data/com.apple.CoreML/model.mlmodel create mode 100644 basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Data/com.apple.CoreML/weights/weight.bin create mode 100644 basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index 64761f22..b72ba2e5 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -38,6 +38,18 @@ "reinstall basic-pitch with `pip install 'basic-pitch[tf]'`" ) +try: + import coremltools as ct + + CT_PRESENT = True +except ImportError: + CT_PRESENT = False + logging.warning( + "Coremltools is not installed. " + "If you plan to use a CoreML Saved Model, " + "reinstall basic-pitch with `pip install 'basic-pitch[coreml]'`" + ) + try: import tflite_runtime.interpreter as tflite @@ -65,6 +77,8 @@ if TF_PRESENT: _filename = "nmp" +elif CT_PRESENT: + _filename = "nmp.mlpackage" elif TFLITE_PRESENT: _filename = "nmp.tflite" elif ONNX_PRESENT: diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 36c130e1..679f1f28 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -54,7 +54,7 @@ ANNOTATIONS_FPS, FFT_HOP, ) -from basic_pitch import ONNX_PRESENT, TF_PRESENT, TFLITE_PRESENT +from basic_pitch import CT_PRESENT, ONNX_PRESENT, TF_PRESENT, TFLITE_PRESENT from basic_pitch.commandline_printing import ( generating_file_message, no_tf_warnings, @@ -67,6 +67,7 @@ class Model: class MODEL_TYPES(enum.Enum): TENSORFLOW = enum.auto() + COREML = enum.auto() TFLITE = enum.auto() ONNX = enum.auto() @@ -79,6 +80,13 @@ def __init__(self, model_path: Union[pathlib.Path, str]): except Exception: pass + if CT_PRESENT: + try: + self.model_type = Model.MODEL_TYPES.COREML + self.model = ct.models.MLModel(str(model_path)) + return + except Exception: + pass if TFLITE_PRESENT: try: @@ -107,6 +115,8 @@ def __init__(self, model_path: Union[pathlib.Path, str]): def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float32]]: if self.model_type == Model.MODEL_TYPES.TENSORFLOW: return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} + elif self.model_type == Model.MODEL_TYPES.COREML: + return cast(ct.models.MLModel, self.model.predict({"input": x.tolist()})) elif self.model_type == Model.MODEL_TYPES.TFLITE: return cast(tflite.Interpreter, self.model)(x) elif self.model_type == Model.MODEL_TYPES.ONNX: diff --git a/basic_pitch/predict.py b/basic_pitch/predict.py index dfec692e..becaf519 100644 --- a/basic_pitch/predict.py +++ b/basic_pitch/predict.py @@ -38,7 +38,7 @@ def main() -> None: default=ICASSP_2022_MODEL_PATH, help="path to the saved model directory. Defaults to a ICASSP 2022 model. 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zOsTm9ulEU&(kW)p=Qjv1j%^`A{pBDzYZaU+vL`xn(TvO%Ti7Wj$XR7(gRWK(9&S*j zyILNiV4)WLDRmq5d36GBWu~AGsXc&=4>0GZN)op-@x=Dc6cVpy4x;j!d;Z^fiw0D#JP$?9bw&HO@$lLHt9+S}@962X vlXz^`6DIc6d1SR@3j}++LyS=#$Nv!nO@)%=THPin{}={YGS+1Fhg|qCH=`ZM literal 0 HcmV?d00001 diff --git a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json new file mode 100644 index 00000000..884803da --- /dev/null +++ b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json @@ -0,0 +1,18 @@ +{ + "fileFormatVersion": "1.0.0", + "itemInfoEntries": { + "2DFFAB47-B4DD-4386-B1A5-BF5E85C7EB2A": { + "author": "com.apple.CoreML", + "description": "CoreML Model Specification", + "name": "model.mlmodel", + "path": "com.apple.CoreML/model.mlmodel" + }, + "403F4E6F-A404-4968-8017-279110B82EF3": { + "author": "com.apple.CoreML", + "description": "CoreML Model Weights", + "name": "weights", + "path": "com.apple.CoreML/weights" + } + }, + "rootModelIdentifier": "2DFFAB47-B4DD-4386-B1A5-BF5E85C7EB2A" +} diff --git a/setup.cfg b/setup.cfg index a06c8e42..6e5e4492 100644 --- a/setup.cfg +++ b/setup.cfg @@ -33,6 +33,7 @@ zip_safe = False packages = find: include_package_data = True install_requires = + coremltools>=2.4.1; platform_system == "Darwin" librosa>=0.8.0 mir_eval>=0.6 numpy<1.24,>=1.18 @@ -55,12 +56,14 @@ test = tf = tensorflow>=2.4.1; platform_system != "Darwin" tensorflow-macos>=2.4.1; platform_system == "Darwin" +coreml = + coremltools onnx = onnxruntime docs = mkdocs>=1.0.4 dev = - basic_pitch[test,tf,onnx,docs] + basic_pitch[test,tf,coreml,onnx,docs] bump2version>=1.0.1 mypy tox From dea3f6b721c13b53f9bde26687f9b9c6ff9d1e00 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 21:44:57 -0400 Subject: [PATCH 06/47] Add comments to tox.ini --- tox.ini | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tox.ini b/tox.ini index a33dad29..ba58c5a5 100644 --- a/tox.ini +++ b/tox.ini @@ -7,6 +7,7 @@ requires = wheel pip>=24 +# Tests with TF [testenv] deps = -e .[dev] commands = @@ -16,6 +17,7 @@ setenv = TEST_SOURCE = {toxinidir}/tests LINE_LENGTH = "120" +# Tests with the minimal package (either coreml/onnx/tflite) [testenv:minimal] deps = -e .[test] basepython=3.10 From 60f973bceb73c681dc56e0713769263f2e036443 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:04:31 -0400 Subject: [PATCH 07/47] Add tests for getting audio --- tests/test_inference.py | 45 +++++++++++++++++++++++++++++++++++++++-- 1 file changed, 43 insertions(+), 2 deletions(-) diff --git a/tests/test_inference.py b/tests/test_inference.py index 0c9ae739..1c5b2561 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -26,7 +26,12 @@ import numpy as np from basic_pitch import ICASSP_2022_MODEL_PATH, inference -from basic_pitch.constants import ANNOTATIONS_N_SEMITONES +from basic_pitch.constants import ( + AUDIO_SAMPLE_RATE, + AUDIO_N_SAMPLES, + ANNOTATIONS_N_SEMITONES, + FFT_HOP, +) RESOURCES_PATH = pathlib.Path(__file__).parent / "resources" @@ -71,7 +76,12 @@ def test_predict_with_saves(self) -> None: expected_npz_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.npz") expected_sonif_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.wav") - for output_path in [expected_midi_path, expected_csv_path, expected_npz_path, expected_sonif_path]: + for output_path in [ + expected_midi_path, + expected_csv_path, + expected_npz_path, + expected_sonif_path, + ]: assert os.path.exists(output_path) def test_predict_onset_threshold(self) -> None: @@ -127,3 +137,34 @@ def test_predict_max_freq(self) -> None: max_freq_midi = np.round(librosa.hz_to_midi(maximum_frequency)) note_pitch = [n[2] <= max_freq_midi for n in note_events] assert all(note_pitch) + + def test_window_audio_file(self) -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) + audio_windowed, window_times = inference.window_audio_file(audio, AUDIO_N_SAMPLES - 30 * FFT_HOP) + assert len(audio_windowed) == 6 + assert len(window_times) == 6 + for time in window_times: + assert time["start"] <= time["end"] + np.testing.assert_equal(audio[:AUDIO_N_SAMPLES], np.squeeze(audio_windowed[0])) + + def test_get_audio_input(self) -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) + overlap_len = 30 * FFT_HOP + audio = np.concatenate([np.zeros((overlap_len // 2,), dtype=np.float32), audio]) + audio_windowed = [] + window_times = [] + for audio_window, window_time, original_length in inference.get_audio_input( + test_audio_path, overlap_len, AUDIO_N_SAMPLES - overlap_len + ): + audio_windowed.append(audio_window) + window_times.append(window_time) + audio_windowed = np.array(audio_windowed) + assert len(audio_windowed) == 6 + assert len(window_times) == 6 + for time in window_times: + assert time["start"] <= time["end"] + np.testing.assert_equal(audio[:AUDIO_N_SAMPLES], np.squeeze(audio_windowed[0])) + + assert original_length == 200607 From aaf023abe99b5c82ab7a347dcdd516ef201b1d9e Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:22:37 -0400 Subject: [PATCH 08/47] Fix MANIFEST.in --- MANIFEST.in | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index 16788a73..d2ed1c31 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,6 +1,5 @@ include *.txt tox.ini *.rst *.md LICENSE include catalog-info.yaml -recursive-include tests *.py *.wav +recursive-include tests *.py *.wav *.npz recursive-include basic_pitch *.py -recursive-include basic_pitch/saved_models/* -recursive-include basic_pitch *.index *.pb variables.data* +recursive-include basic_pitch/saved_models *.index *.pb variables.data* *.mlmodel *.json *.onnx *.tflite *.bin From 38153ec5f3914347294fda3fc5d64cf049a3c557 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:26:46 -0400 Subject: [PATCH 09/47] Unpin coremltools --- setup.cfg | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.cfg b/setup.cfg index 6e5e4492..f94878c6 100644 --- a/setup.cfg +++ b/setup.cfg @@ -33,7 +33,7 @@ zip_safe = False packages = find: include_package_data = True install_requires = - coremltools>=2.4.1; platform_system == "Darwin" + coremltools; platform_system == "Darwin" librosa>=0.8.0 mir_eval>=0.6 numpy<1.24,>=1.18 From 11d19f7c2aff007f6914633f2cfa0ca390f53f10 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:26:55 -0400 Subject: [PATCH 10/47] Unpin tflite-runtime --- setup.cfg | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.cfg b/setup.cfg index f94878c6..d4e75949 100644 --- a/setup.cfg +++ b/setup.cfg @@ -41,7 +41,7 @@ install_requires = pretty_midi>=0.2.9 resampy>=0.2.2 scipy>=1.4.1 - tflite-runtime>=2.4.1; platform_system == "Linux" + tflite-runtime; platform_system == "Linux" typing_extensions [options.entry_points] From 8281657e3f2831cd3c159ab33950d137c6f270a4 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:38:03 -0400 Subject: [PATCH 11/47] Fix mypy --- basic_pitch/inference.py | 12 ++++++------ tests/test_inference.py | 6 ++++-- 2 files changed, 10 insertions(+), 8 deletions(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 679f1f28..6817d3be 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -20,7 +20,7 @@ import json import os import pathlib -from typing import Dict, List, Optional, Sequence, Tuple, Union, cast +from typing import Any, Dict, Iterable, List, Optional, Sequence, Tuple, Union, cast try: @@ -116,11 +116,11 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 if self.model_type == Model.MODEL_TYPES.TENSORFLOW: return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} elif self.model_type == Model.MODEL_TYPES.COREML: - return cast(ct.models.MLModel, self.model.predict({"input": x.tolist()})) + return cast(ct.models.MLModel, self.model.predict({"input": x.tolist()})) # type: ignore elif self.model_type == Model.MODEL_TYPES.TFLITE: - return cast(tflite.Interpreter, self.model)(x) + return cast(tflite.Interpreter, self.model)(x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: - return cast(ort.InferenceSession, self.model).run(["note", "onset", "contour"], {"input": x}) + return cast(ort.InferenceSession, self.model).run(["note", "onset", "contour"], {"input": x}) # type: ignore def window_audio_file( @@ -157,7 +157,7 @@ def window_audio_file( def get_audio_input( audio_path: Union[pathlib.Path, str], overlap_len: int, hop_size: int -) -> Tuple[npt.NDArray[np.float32], List[Dict[str, int]], int]: +) -> Iterable[Tuple[npt.NDArray[np.float32], Dict[str, int], int]]: """ Read wave file (as mono), pad appropriately, and return as windowed signal, with window length = AUDIO_N_SAMPLES @@ -226,7 +226,7 @@ def run_inference( overlap_len = n_overlapping_frames * FFT_HOP hop_size = AUDIO_N_SAMPLES - overlap_len - output = {"note": [], "onset": [], "contour": []} + output: Dict[str, Any] = {"note": [], "onset": [], "contour": []} for audio_windowed, _, audio_original_length in get_audio_input(audio_path, overlap_len, hop_size): for k, v in model.predict(audio_windowed).items(): output[k].append(v) diff --git a/tests/test_inference.py b/tests/test_inference.py index 1c5b2561..90bfd051 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -20,10 +20,12 @@ import pathlib import tempfile import unittest +from typing import Dict, List import librosa import pretty_midi import numpy as np +import numpy.typing as npt from basic_pitch import ICASSP_2022_MODEL_PATH, inference from basic_pitch.constants import ( @@ -153,8 +155,8 @@ def test_get_audio_input(self) -> None: audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) overlap_len = 30 * FFT_HOP audio = np.concatenate([np.zeros((overlap_len // 2,), dtype=np.float32), audio]) - audio_windowed = [] - window_times = [] + audio_windowed: List[npt.NDArray[np.float32]] = [] + window_times: List[Dict[str, int]] = [] for audio_window, window_time, original_length in inference.get_audio_input( test_audio_path, overlap_len, AUDIO_N_SAMPLES - overlap_len ): From 4ee59c707bfe8a50e2184d8213a5b5a587f5f525 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:42:55 -0400 Subject: [PATCH 12/47] Ignore unused imports on __init__.py --- tox.ini | 1 + 1 file changed, 1 insertion(+) diff --git a/tox.ini b/tox.ini index ba58c5a5..22f176dd 100644 --- a/tox.ini +++ b/tox.ini @@ -64,6 +64,7 @@ show-source = true max-line-length = 120 exclude = .venv,.tox,.git,dist,doc,*.egg,build ignore = E203,E731,W503,E231 +per-file-ignores = __init__.py:F401 [pytest] addopts = -v From 700364e54356ecbacc99da55b43ccd1a81fe22eb Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:44:33 -0400 Subject: [PATCH 13/47] Remove unused imports --- tests/test_inference.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/test_inference.py b/tests/test_inference.py index 90bfd051..60feb601 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -15,7 +15,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -import json import os import pathlib import tempfile From 6cc3267f5a0789906dc40f744639e121ea67d9ec Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 28 Sep 2023 22:46:39 -0400 Subject: [PATCH 14/47] more formatting changes --- basic_pitch/inference.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 6817d3be..5168099b 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -120,7 +120,9 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 elif self.model_type == Model.MODEL_TYPES.TFLITE: return cast(tflite.Interpreter, self.model)(x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: - return cast(ort.InferenceSession, self.model).run(["note", "onset", "contour"], {"input": x}) # type: ignore + return cast(ort.InferenceSession, self.model).run( # type: ignore + ["note", "onset", "contour"], {"input": x} + ) def window_audio_file( From f5e862d95784df96f8121a8a9d1b5d8972136df8 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sat, 30 Sep 2023 14:22:54 -0400 Subject: [PATCH 15/47] use tf by default for py>=3.11 --- setup.cfg | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/setup.cfg b/setup.cfg index d4e75949..4f29ca15 100644 --- a/setup.cfg +++ b/setup.cfg @@ -33,16 +33,18 @@ zip_safe = False packages = find: include_package_data = True install_requires = - coremltools; platform_system == "Darwin" + coremltools; platform_system == "Darwin" and python_version < "3.11" librosa>=0.8.0 mir_eval>=0.6 numpy<1.24,>=1.18 - onnxruntime; platform_system == "Windows" + onnxruntime; platform_system == "Windows" and python_version < "3.11" pretty_midi>=0.2.9 resampy>=0.2.2 scipy>=1.4.1 - tflite-runtime; platform_system == "Linux" + tflite-runtime; platform_system == "Linux" and python_version < "3.11" typing_extensions + tensorflow>=2.4.1; platform_system != "Darwin" and python_version >= "3.11" + tensorflow-macos>=2.4.1; platform_system == "Darwin" and python_version >= "3.11" [options.entry_points] console_scripts = From 2227005267cde6475a0a8e9504db98a1beb54aae Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sat, 30 Sep 2023 16:41:23 -0400 Subject: [PATCH 16/47] Windowing is now iterator based --- basic_pitch/inference.py | 37 ++++++++++++++++++------------------- tests/test_inference.py | 12 +++++++++--- 2 files changed, 27 insertions(+), 22 deletions(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 5168099b..54ae5ea3 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -127,7 +127,7 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 def window_audio_file( audio_original: npt.NDArray[np.float32], hop_size: int -) -> Tuple[npt.NDArray[np.float32], List[Dict[str, int]]]: +) -> Iterable[Tuple[npt.NDArray[np.float32], Dict[str, float]]]: """ Pad appropriately an audio file, and return as windowed signal, with window length = AUDIO_N_SAMPLES @@ -138,28 +138,24 @@ def window_audio_file( window_times: list of {'start':.., 'end':...} objects (times in seconds) """ - audio_windowed = np.expand_dims( - librosa.util.frame( - librosa.util.fix_length(audio_original, size=(audio_original.shape[0] // hop_size + 2) * hop_size), - frame_length=AUDIO_N_SAMPLES, - hop_length=hop_size, - axis=0, - ), - axis=-1, - ) - window_times = [ - { + for i in range(0, audio_original.shape[0], hop_size): + window = audio_original[i : i + AUDIO_N_SAMPLES] + if len(window) < AUDIO_N_SAMPLES: + window = np.pad( + window, + pad_width=[[0, AUDIO_N_SAMPLES - len(window)]], + ) + t_start = float(i) / AUDIO_SAMPLE_RATE + window_time = { "start": t_start, "end": t_start + (AUDIO_N_SAMPLES / AUDIO_SAMPLE_RATE), } - for t_start in np.arange(audio_windowed.shape[0]) * hop_size / AUDIO_SAMPLE_RATE - ] - return audio_windowed, window_times + yield np.expand_dims(window, axis=-1), window_time def get_audio_input( audio_path: Union[pathlib.Path, str], overlap_len: int, hop_size: int -) -> Iterable[Tuple[npt.NDArray[np.float32], Dict[str, int], int]]: +) -> Iterable[Tuple[npt.NDArray[np.float32], Dict[str, float], int]]: """ Read wave file (as mono), pad appropriately, and return as windowed signal, with window length = AUDIO_N_SAMPLES @@ -178,12 +174,15 @@ def get_audio_input( original_length = audio_original.shape[0] audio_original = np.concatenate([np.zeros((int(overlap_len / 2),), dtype=np.float32), audio_original]) - audio_windowed, window_times = window_audio_file(audio_original, hop_size) - for window, window_time in zip(audio_windowed, window_times): + for window, window_time in window_audio_file(audio_original, hop_size): yield np.expand_dims(window, axis=0), window_time, original_length -def unwrap_output(output: npt.NDArray[np.float32], audio_original_length: int, n_overlapping_frames: int) -> np.array: +def unwrap_output( + output: npt.NDArray[np.float32], + audio_original_length: int, + n_overlapping_frames: int, +) -> np.array: """Unwrap batched model predictions to a single matrix. Args: diff --git a/tests/test_inference.py b/tests/test_inference.py index 60feb601..893707c5 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -70,7 +70,13 @@ def test_predict_with_saves(self) -> None: test_audio_path = RESOURCES_PATH / "vocadito_10.wav" with tempfile.TemporaryDirectory() as tmpdir: inference.predict_and_save( - [test_audio_path], tmpdir, True, True, True, True, model=inference.Model(ICASSP_2022_MODEL_PATH) + [test_audio_path], + tmpdir, + True, + True, + True, + True, + model=inference.Model(ICASSP_2022_MODEL_PATH), ) expected_midi_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.mid") expected_csv_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.csv") @@ -142,7 +148,7 @@ def test_predict_max_freq(self) -> None: def test_window_audio_file(self) -> None: test_audio_path = RESOURCES_PATH / "vocadito_10.wav" audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) - audio_windowed, window_times = inference.window_audio_file(audio, AUDIO_N_SAMPLES - 30 * FFT_HOP) + audio_windowed, window_times = zip(*inference.window_audio_file(audio, AUDIO_N_SAMPLES - 30 * FFT_HOP)) assert len(audio_windowed) == 6 assert len(window_times) == 6 for time in window_times: @@ -155,7 +161,7 @@ def test_get_audio_input(self) -> None: overlap_len = 30 * FFT_HOP audio = np.concatenate([np.zeros((overlap_len // 2,), dtype=np.float32), audio]) audio_windowed: List[npt.NDArray[np.float32]] = [] - window_times: List[Dict[str, int]] = [] + window_times: List[Dict[str, float]] = [] for audio_window, window_time, original_length in inference.get_audio_input( test_audio_path, overlap_len, AUDIO_N_SAMPLES - overlap_len ): From 21a41e8b97f265930e78aa7ee0e337628b666231 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 14:31:22 -0400 Subject: [PATCH 17/47] Reintroduce model_or_model_path --- basic_pitch/inference.py | 21 +++++++++++++-------- tests/test_inference.py | 12 ++++++------ 2 files changed, 19 insertions(+), 14 deletions(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 54ae5ea3..0fd7c76f 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -209,19 +209,24 @@ def unwrap_output( def run_inference( audio_path: Union[pathlib.Path, str], - model: Model, + model_or_model_path: Union[Model, pathlib.Path, str], debug_file: Optional[pathlib.Path] = None, ) -> Dict[str, np.array]: """Run the model on the input audio path. Args: audio_path: The audio to run inference on. - model: A loaded model to run inference with. + model_or_model_path: A loaded Model or path to a serialized model to load. debug_file: An optional path to output debug data to. Useful for testing/verification. Returns: A dictionary with the notes, onsets and contours from model inference. """ + if isinstance(model_or_model_path, Model): + model = model_or_model_path + else: + model = Model(model_or_model_path) + # overlap 30 frames n_overlapping_frames = 30 overlap_len = n_overlapping_frames * FFT_HOP @@ -352,7 +357,7 @@ def save_note_events( def predict( audio_path: Union[pathlib.Path, str], - model: Model, + model_or_model_path: Union[Model, pathlib.Path, str], onset_threshold: float = 0.5, frame_threshold: float = 0.3, minimum_note_length: float = 127.70, @@ -367,7 +372,7 @@ def predict( Args: audio_path: File path for the audio to run inference on. - model: A loaded Model. + model_or_model_path: A loaded Model or path to a serialized model to load. onset_threshold: Minimum energy required for an onset to be considered present. frame_threshold: Minimum energy requirement for a frame to be considered present. minimum_note_length: The minimum allowed note length in milliseconds. @@ -383,7 +388,7 @@ def predict( with no_tf_warnings(): print(f"Predicting MIDI for {audio_path}...") - model_output = run_inference(audio_path, model, debug_file) + model_output = run_inference(audio_path, model_or_model_path, debug_file) min_note_len = int(np.round(minimum_note_length / 1000 * (AUDIO_SAMPLE_RATE / FFT_HOP))) midi_data, note_events = infer.model_output_to_notes( model_output, @@ -431,7 +436,7 @@ def predict_and_save( sonify_midi: bool, save_model_outputs: bool, save_notes: bool, - model: Model, + model_or_model_path: Union[Model, str, pathlib.Path], onset_threshold: float = 0.5, frame_threshold: float = 0.3, minimum_note_length: float = 127.70, @@ -452,7 +457,7 @@ def predict_and_save( sonify_midi: Whether or not to render audio from the MIDI and output it to a file. save_model_outputs: True to save contours, onsets and notes from the model prediction. save_notes: True to save note events. - model: A loaded model. + model_or_model_path: A loaded Model or path to a serialized model to load. onset_threshold: Minimum energy required for an onset to be considered present. frame_threshold: Minimum energy requirement for a frame to be considered present. minimum_note_length: The minimum allowed note length in milliseconds. @@ -468,7 +473,7 @@ def predict_and_save( try: model_output, midi_data, note_events = predict( pathlib.Path(audio_path), - model, + model_or_model_path, onset_threshold, frame_threshold, minimum_note_length, diff --git a/tests/test_inference.py b/tests/test_inference.py index 893707c5..02ce64ea 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -76,7 +76,7 @@ def test_predict_with_saves(self) -> None: True, True, True, - model=inference.Model(ICASSP_2022_MODEL_PATH), + model_or_model_path=ICASSP_2022_MODEL_PATH, ) expected_midi_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.mid") expected_csv_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.csv") @@ -96,7 +96,7 @@ def test_predict_onset_threshold(self) -> None: for onset_threshold in [0, 0.3, 0.8, 1]: inference.predict( test_audio_path, - inference.Model(ICASSP_2022_MODEL_PATH), + ICASSP_2022_MODEL_PATH, onset_threshold=onset_threshold, ) @@ -105,7 +105,7 @@ def test_predict_frame_threshold(self) -> None: for frame_threshold in [0, 0.3, 0.8, 1]: inference.predict( test_audio_path, - inference.Model(ICASSP_2022_MODEL_PATH), + ICASSP_2022_MODEL_PATH, frame_threshold=frame_threshold, ) @@ -114,7 +114,7 @@ def test_predict_min_note_length(self) -> None: for minimum_note_length in [10, 100, 1000]: _, _, note_events = inference.predict( test_audio_path, - inference.Model(ICASSP_2022_MODEL_PATH), + ICASSP_2022_MODEL_PATH, minimum_note_length=minimum_note_length, ) min_len_s = minimum_note_length / 1000.0 @@ -126,7 +126,7 @@ def test_predict_min_freq(self) -> None: for minimum_frequency in [40, 80, 200, 2000]: _, _, note_events = inference.predict( test_audio_path, - inference.Model(ICASSP_2022_MODEL_PATH), + ICASSP_2022_MODEL_PATH, minimum_frequency=minimum_frequency, ) min_freq_midi = np.round(librosa.hz_to_midi(minimum_frequency)) @@ -138,7 +138,7 @@ def test_predict_max_freq(self) -> None: for maximum_frequency in [40, 80, 200, 2000]: _, _, note_events = inference.predict( test_audio_path, - inference.Model(ICASSP_2022_MODEL_PATH), + ICASSP_2022_MODEL_PATH, maximum_frequency=maximum_frequency, ) max_freq_midi = np.round(librosa.hz_to_midi(maximum_frequency)) From 767e818d5def158a7066b9e835bd7f95295abfc5 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 14:40:12 -0400 Subject: [PATCH 18/47] Add commandline flag to specify preferred model serialization --- basic_pitch/__init__.py | 24 ++++++++++++++++----- basic_pitch/predict.py | 47 +++++++++++++++++++++++++++++++++++------ 2 files changed, 59 insertions(+), 12 deletions(-) diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index b72ba2e5..0d86dc8a 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -15,6 +15,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +import enum import logging import pathlib @@ -75,13 +76,26 @@ "reinstall basic-pitch with `pip install 'basic-pitch[onnx]'`" ) + +class FilenameSuffix(enum.Enum): + tf = "nmp" + coreml = "nmp.mlpackage" + tflite = "nmp.tflite" + onnx = "nmp.onnx" + + if TF_PRESENT: - _filename = "nmp" + _default_model_type = FilenameSuffix.tf elif CT_PRESENT: - _filename = "nmp.mlpackage" + _default_model_type = FilenameSuffix.coreml elif TFLITE_PRESENT: - _filename = "nmp.tflite" + _default_model_type = FilenameSuffix.tflite elif ONNX_PRESENT: - _filename = "nmp.onnx" + _default_model_type = FilenameSuffix.onnx + + +def build_icassp_2022_model_path(suffix: FilenameSuffix) -> pathlib.Path: + return pathlib.Path(__file__).parent / "saved_models/icassp_2022" / suffix.value + -ICASSP_2022_MODEL_PATH = pathlib.Path(__file__).parent / "saved_models/icassp_2022" / _filename +ICASSP_2022_MODEL_PATH = build_icassp_2022_model_path(_default_model_type) diff --git a/basic_pitch/predict.py b/basic_pitch/predict.py index becaf519..725af8bd 100644 --- a/basic_pitch/predict.py +++ b/basic_pitch/predict.py @@ -20,7 +20,11 @@ import pathlib import traceback -from basic_pitch import ICASSP_2022_MODEL_PATH +from basic_pitch import ( + ICASSP_2022_MODEL_PATH, + FilenameSuffix, + build_icassp_2022_model_path, +) from basic_pitch.inference import Model @@ -31,15 +35,26 @@ def main() -> None: """Handle command line arguments. Entrypoint for this script.""" parser = argparse.ArgumentParser(description="Predict midi from audio.") parser.add_argument("output_dir", type=str, help="directory to save outputs") - parser.add_argument("audio_paths", type=str, nargs="+", help="Space separated paths to the input audio files.") parser.add_argument( - "--model_path", + "audio_paths", + type=str, + nargs="+", + help="Space separated paths to the input audio files.", + ) + parser.add_argument( + "--model-path", type=str, default=ICASSP_2022_MODEL_PATH, help="path to the saved model directory. Defaults to a ICASSP 2022 model. " "The preferred model is determined by the first library available in " "[tensorflow, coreml, tensorflow-lite, onnx]", ) + parser.add_argument( + "--model-type", + type=str, + choices=["tf", "coreml", "tflite", "onnx"], + help="If used, --model-path is ignored and instead the model serialization type" "specified is used.", + ) parser.add_argument( "--save-midi", action="store_true", @@ -109,8 +124,17 @@ def main() -> None: default=120, help="The tempo for the midi file.", ) - parser.add_argument("--debug-file", default=None, help="Optional file for debug output for inference.") - parser.add_argument("--no-melodia", default=False, action="store_true", help="Skip the melodia trick.") + parser.add_argument( + "--debug-file", + default=None, + help="Optional file for debug output for inference.", + ) + parser.add_argument( + "--no-melodia", + default=False, + action="store_true", + help="Skip the melodia trick.", + ) args = parser.parse_args() print("") @@ -122,7 +146,11 @@ def main() -> None: # tensorflow is very slow to import # this import is here so that the help messages print faster print("Importing Tensorflow (this may take a few seconds)...") - from basic_pitch.inference import predict_and_save, verify_output_dir, verify_input_path + from basic_pitch.inference import ( + predict_and_save, + verify_output_dir, + verify_input_path, + ) output_dir = pathlib.Path(args.output_dir) verify_output_dir(output_dir) @@ -131,6 +159,11 @@ def main() -> None: for audio_path in audio_path_list: verify_input_path(audio_path) + if args.model_type: + model = Model(build_icassp_2022_model_path(FilenameSuffix[args.model_type])) + else: + model = Model(args.model_path) + try: predict_and_save( audio_path_list, @@ -139,7 +172,7 @@ def main() -> None: args.sonify_midi, args.save_model_outputs, args.save_note_events, - Model(pathlib.Path(args.model_path)), + model, args.onset_threshold, args.frame_threshold, args.minimum_note_length, From ce91056c963d96b0c839b24f6296abde47f3db3d Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 14:54:50 -0400 Subject: [PATCH 19/47] Explain how the multiple model serializations are used in this repo --- README.md | 27 ++++++++++++++++++++++++--- 1 file changed, 24 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 344977d3..6357ba87 100644 --- a/README.md +++ b/README.md @@ -44,14 +44,31 @@ To update Basic Pitch to the latest version, add `--upgrade` to the above comman #### Compatible Environments: - MacOS, Windows and Ubuntu operating systems -- Python versions 3.7, 3.8, 3.9, 3.10 +- Python versions 3.7, 3.8, 3.9, 3.10, 3.11 - **For Mac M1 hardware, we currently only support python version 3.10. Otherwise, we suggest using a virtual machine.** +### Model Runtime + +Basic Pitch comes with the original TensorFlow model and the TensorFlow model converted to [CoreML](https://developer.apple.com/documentation/coreml), [TensorFlowLite](https://www.tensorflow.org/lite), and [ONNX](https://onnx.ai/). By default, Basic Pitch will _not_ install TensorFlow as a dependency *unless you are using Python>=3.11*. Instead, by default, CoreML will be installed on MacOS, TensorFlowLite will be installed on Linux and ONNX will be installed on Windows. If you want to install TensorFlow along with the default model inference runtime, you can install TensorFlow via `pip install basic-pitch[tf]`. + ## Usage ### Model Prediction +### Model Runtime + +By default, Basic Pitch will attempt to load a model in the following order: + +1. TensorFlow +2. CoreML +3. TensorFlowLite +4. ONNX + +Additionally, the module variable ICASSP_2022_MODEL_PATH will default to the first available version in the list. + +We will explain how to override this priority list below. Because all other model serializations were converted from TensorFlow, we recommend using TensorFlow when possible. + #### Command Line Tool This library offers a command line tool interface. A basic prediction command will generate and save a MIDI file transcription of audio at the `` to the ``: @@ -77,6 +94,8 @@ Optionally, you may append any of the following flags to your prediction command - `--save-model-outputs` to additionally save raw model outputs as an NPZ file - `--save-note-events` to additionally save the predicted note events as a CSV file +If you want to use a non-default model type (e.g., use CoreML instead of TF), use the `--model-type` argument. The CLI will change the loaded model to the type you prefer. + To discover more parameter control, run: ```bash basic-pitch --help @@ -100,6 +119,8 @@ model_output, midi_data, note_events = predict() - `midi_data` is the transcribed MIDI data derived from the `model_output` - `note_events` is a list of note events derived from the `model_output` +Note: As mentioned previously, ICASSP_2022_MODEL_PATH will default to the runtime first supported in the list TensorFlow, CoreML, TensorFlowLite, ONNX. + **predict() in a loop** To run prediction within a loop, you'll want to load the model yourself and provide `predict()` with the loaded model object itself to be used for repeated prediction calls, in order to avoid redundant and sluggish model loading. @@ -107,10 +128,10 @@ To run prediction within a loop, you'll want to load the model yourself and prov ```python import tensorflow as tf -from basic_pitch.inference import predict +from basic_pitch.inference import predict, Model from basic_pitch import ICASSP_2022_MODEL_PATH -basic_pitch_model = tf.saved_model.load(str(ICASSP_2022_MODEL_PATH)) +basic_pitch_model = Model(ICASSP_2022_MODEL_PATH)) for x in range(): ... From 3ce2617b2e9416e4664caac05cec48cd6724677c Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 15:05:46 -0400 Subject: [PATCH 20/47] Move from model-type to model-serialization --- README.md | 2 +- basic_pitch/predict.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 6357ba87..5155e599 100644 --- a/README.md +++ b/README.md @@ -94,7 +94,7 @@ Optionally, you may append any of the following flags to your prediction command - `--save-model-outputs` to additionally save raw model outputs as an NPZ file - `--save-note-events` to additionally save the predicted note events as a CSV file -If you want to use a non-default model type (e.g., use CoreML instead of TF), use the `--model-type` argument. The CLI will change the loaded model to the type you prefer. +If you want to use a non-default model type (e.g., use CoreML instead of TF), use the `--model-serialization` argument. The CLI will change the loaded model to the type you prefer. To discover more parameter control, run: ```bash diff --git a/basic_pitch/predict.py b/basic_pitch/predict.py index 725af8bd..d4b40df1 100644 --- a/basic_pitch/predict.py +++ b/basic_pitch/predict.py @@ -50,7 +50,7 @@ def main() -> None: "[tensorflow, coreml, tensorflow-lite, onnx]", ) parser.add_argument( - "--model-type", + "--model-serialization", type=str, choices=["tf", "coreml", "tflite", "onnx"], help="If used, --model-path is ignored and instead the model serialization type" "specified is used.", @@ -159,8 +159,8 @@ def main() -> None: for audio_path in audio_path_list: verify_input_path(audio_path) - if args.model_type: - model = Model(build_icassp_2022_model_path(FilenameSuffix[args.model_type])) + if args.model_serialization: + model = Model(build_icassp_2022_model_path(FilenameSuffix[args.model_serialization])) else: model = Model(args.model_path) From 2ee881c1003beeccbd3b928896bd73a965f46906 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 15:09:03 -0400 Subject: [PATCH 21/47] Remove unused code --- basic_pitch/__init__.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index 0d86dc8a..cc868671 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -28,7 +28,7 @@ try: - import tensorflow as tf + import tensorflow TF_PRESENT = True except ImportError: @@ -40,7 +40,7 @@ ) try: - import coremltools as ct + import coremltools CT_PRESENT = True except ImportError: @@ -52,7 +52,7 @@ ) try: - import tflite_runtime.interpreter as tflite + import tflite_runtime.interpreter TFLITE_PRESENT = True except ImportError: @@ -65,7 +65,7 @@ ) try: - import onnxruntime as ort + import onnxruntime ONNX_PRESENT = True except ImportError: From 6196cb757ea026471279c8ba08ae736f5609370e Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 15:18:53 -0400 Subject: [PATCH 22/47] Add build-system requirements for scipy --- setup.cfg | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/setup.cfg b/setup.cfg index 4f29ca15..4853a742 100644 --- a/setup.cfg +++ b/setup.cfg @@ -75,3 +75,7 @@ dev = [bdist_wheel] universal = 1 +[build-system] +requires = + wheel + cython From 35c2994204dc049ef034f85cb11b23a431318bbf Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 15:29:42 -0400 Subject: [PATCH 23/47] tf-macos does not support py37 --- setup.cfg | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/setup.cfg b/setup.cfg index 4853a742..585a6947 100644 --- a/setup.cfg +++ b/setup.cfg @@ -44,7 +44,7 @@ install_requires = tflite-runtime; platform_system == "Linux" and python_version < "3.11" typing_extensions tensorflow>=2.4.1; platform_system != "Darwin" and python_version >= "3.11" - tensorflow-macos>=2.4.1; platform_system == "Darwin" and python_version >= "3.11" + tensorflow-macos>=2.4.1; platform_system == "Darwin" and "3.7" > python_version >= "3.11" [options.entry_points] console_scripts = @@ -57,7 +57,7 @@ test = pytest-mock tf = tensorflow>=2.4.1; platform_system != "Darwin" - tensorflow-macos>=2.4.1; platform_system == "Darwin" + tensorflow-macos>=2.4.1; platform_system == "Darwin" and python_version > "3.7" coreml = coremltools onnx = From 30c1df8f612f82fd2c30a5c969633ea8f9faa426 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 15:30:58 -0400 Subject: [PATCH 24/47] Move from setup.cfg to pyproject.toml --- basic_pitch/__init__.py | 8 ---- pyproject.toml | 20 +++++++--- setup.cfg | 81 ----------------------------------------- 3 files changed, 15 insertions(+), 94 deletions(-) delete mode 100644 setup.cfg diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index cc868671..d3b38b40 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -19,14 +19,6 @@ import logging import pathlib -__author__ = "Spotify" -__version__ = "0.3.0" -__email__ = "basic-pitch@spotify.com" -__demowebsite__ = "https://basicpitch.io" -__description__ = "Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection." -__url__ = "https://github.com/spotify/basic-pitch" - - try: import tensorflow diff --git a/pyproject.toml b/pyproject.toml index aa8effae..1bf672d1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,15 +17,18 @@ classifiers = [ "Programming Language :: Python :: Implementation :: CPython", ] dependencies = [ + "coremltools; platform_system == 'Darwin' and python_version < '3.11'", "librosa>=0.8.0", "mir_eval>=0.6", "numpy>=1.18", + "onnxruntime; platform_system == 'Windows' and python_version < '3.11'", "pretty_midi>=0.2.9", "resampy>=0.2.2", "scipy>=1.4.1", + "tflite-runtime; platform_system == 'Linux' and python_version < '3.11'", "typing_extensions", - "tensorflow>=2.4.1; platform_system != 'Darwin'", - "tensorflow-macos>=2.4.1; platform_system == 'Darwin'", + "tensorflow>=2.4.1; platform_system != 'Darwin' and python_version >= '3.11'", + "tensorflow-macos>=2.4.1; platform_system == 'Darwin' and python_version >= '3.11'", ] [metadata] @@ -51,9 +54,15 @@ test = [ "pytest>=6.1.1", "pytest-mock", ] +tf = [ + "tensorflow>=2.4.1; platform_system != 'Darwin'", + "tensorflow-macos>=2.4.1; platform_system == 'Darwin' and python_version > '3.7'", +] +coreml = ["coremltools"] +onnx = ["onnxruntime"] docs = ["mkdocs>=1.0.4"] dev = [ - "basic_pitch[test,docs]", + "basic_pitch[test,tf,coreml,onnx,docs]", "mypy", "tox", ] @@ -63,6 +72,7 @@ universal = true [build-system] requires = [ - "setuptools", + "setuptools>=40.8.0", "wheel", -] \ No newline at end of file + "cython", +] diff --git a/setup.cfg b/setup.cfg deleted file mode 100644 index 585a6947..00000000 --- a/setup.cfg +++ /dev/null @@ -1,81 +0,0 @@ -[bumpversion] -current_version = 0.3.0 -commit = True -tag = True - -[metadata] -name = basic-pitch -version = attr: basic_pitch.__version__ -description = Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection. -long_description = Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection. See https://github.com/spotify/basic-pitch for more details. -author = Spotify -author_email = basic-pitch@spotify.com -maintainer = Spotify -maintainer_email = basic-pitch@spotify.com -url = https://github.com/spotify/basic-pitch -keywords = -license = Apache 2.0 -classifiers = - Development Status :: 5 - Production/Stable - Natural Language :: English - Operating System :: POSIX :: Linux - Operating System :: MacOS :: MacOS X - Operating System :: Microsoft :: Windows - Programming Language :: Python - Programming Language :: Python :: 3.7 - Programming Language :: Python :: 3.8 - Programming Language :: Python :: 3.9 - Programming Language :: Python :: 3.10 - Programming Language :: Python :: Implementation :: CPython - -[options] -zip_safe = False -packages = find: -include_package_data = True -install_requires = - coremltools; platform_system == "Darwin" and python_version < "3.11" - librosa>=0.8.0 - mir_eval>=0.6 - numpy<1.24,>=1.18 - onnxruntime; platform_system == "Windows" and python_version < "3.11" - pretty_midi>=0.2.9 - resampy>=0.2.2 - scipy>=1.4.1 - tflite-runtime; platform_system == "Linux" and python_version < "3.11" - typing_extensions - tensorflow>=2.4.1; platform_system != "Darwin" and python_version >= "3.11" - tensorflow-macos>=2.4.1; platform_system == "Darwin" and "3.7" > python_version >= "3.11" - -[options.entry_points] -console_scripts = - basic-pitch = basic_pitch.predict:main - -[options.extras_require] -test = - coverage>=5.0.2 - pytest>=6.1.1 - pytest-mock -tf = - tensorflow>=2.4.1; platform_system != "Darwin" - tensorflow-macos>=2.4.1; platform_system == "Darwin" and python_version > "3.7" -coreml = - coremltools -onnx = - onnxruntime -docs = - mkdocs>=1.0.4 -dev = - basic_pitch[test,tf,coreml,onnx,docs] - bump2version>=1.0.1 - mypy - tox - -[bumpversion:file:basic_pitch/__init__.py] - -[bdist_wheel] -universal = 1 - -[build-system] -requires = - wheel - cython From 2ab45278c3d790054a3334b5d4a8420e7275e9dc Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 16:51:49 -0400 Subject: [PATCH 25/47] Reorganize tox --- tox.ini | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/tox.ini b/tox.ini index 22f176dd..fb206997 100644 --- a/tox.ini +++ b/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py38,py39,py310,py311,minimal,manifest,check-formatting,lint,mypy +envlist = py38,py39,py310,py311,full,manifest,check-formatting,lint,mypy skipsdist = True usedevelop = True requires = @@ -7,22 +7,22 @@ requires = wheel pip>=24 -# Tests with TF +# Tests with the minimal package (either coreml/onnx/tflite) [testenv] -deps = -e .[dev] +deps = -e .[test] commands = - pytest tests {posargs} + pytest tests --ignore tests/test_nn.py {posargs} setenv = SOURCE = {toxinidir}/basic_pitch TEST_SOURCE = {toxinidir}/tests LINE_LENGTH = "120" -# Tests with the minimal package (either coreml/onnx/tflite) -[testenv:minimal] -deps = -e .[test] -basepython=3.10 +# Tests with TF +[testenv:full] +deps = -e .[dev] +basepython=3.8 commands = - pytest tests --ignore tests/test_nn.py {posargs} + pytest tests {posargs} setenv = SOURCE = {toxinidir}/basic_pitch TEST_SOURCE = {toxinidir}/tests From 4f8292cd3861087748ccca967919967402400701 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 19:49:21 -0400 Subject: [PATCH 26/47] More informative error --- .github/workflows/tox.yml | 2 +- basic_pitch/inference.py | 63 ++++++++++++++++++++++++++++++--------- 2 files changed, 50 insertions(+), 15 deletions(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index b881f3e9..141b0192 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -43,6 +43,6 @@ jobs: run: tox -c tox.ini -e check-formatting,lint,mypy if: matrix.py == '3.8' - name: Run test suite - run: tox -c tox.ini -e py,manifest + run: tox -c tox.ini -e py,manifest,full - name: Check that basic-pitch can be run as a commandline run: pip3 install -e . && basic-pitch --help diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 0fd7c76f..f2900c25 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -18,6 +18,7 @@ import csv import enum import json +import logging import os import pathlib from typing import Any, Dict, Iterable, List, Optional, Sequence, Tuple, Union, cast @@ -72,44 +73,78 @@ class MODEL_TYPES(enum.Enum): ONNX = enum.auto() def __init__(self, model_path: Union[pathlib.Path, str]): + present = [] if TF_PRESENT: + present.append("TensorFlow") try: self.model_type = Model.MODEL_TYPES.TENSORFLOW - self.model = tf.saved_model.load(model_path) + self.model = tf.saved_model.load(str(model_path)) return - except Exception: - pass + except Exception as e: + if os.path.isdir(model_path) and {"saved_model.pb", "variables"} & set(os.listdir(model_path)): + logging.warning( + "Could not load TensorFlow saved model %s even " + "though it looks like a saved model file with error %s. " + "Are you sure it's a TensorFlow saved model?", + model_path, + e.__repr__(), + ) if CT_PRESENT: + present.append("CoreML") try: self.model_type = Model.MODEL_TYPES.COREML self.model = ct.models.MLModel(str(model_path)) return - except Exception: - pass + except Exception as e: + if str(model_path).endswith(".mlpackage"): + logging.warning( + "Could not load CoreML file %s even " + "though it looks like a CoreML file with error %s. " + "Are you sure it's a TFLite file?", + model_path, + e.__repr__(), + ) if TFLITE_PRESENT: + present.append("TensorFlowLite") try: self.model_type = Model.MODEL_TYPES.TFLITE - self.interpreter = tflite.Interpreter(model_path=model_path) - self.interpreter.allocate_tensors() + self.interpreter = tflite.Interpreter(str(model_path)) self.model = self.interpreter.get_signature_runner() return - except Exception: - pass + except Exception as e: + if str(model_path).endswith(".tflite"): + logging.warning( + "Could not load TensorFlowLite file %s even " + "though it looks like a TFLite file with error %s. " + "Are you sure it's a TFLite file?", + model_path, + e.__repr__(), + ) if ONNX_PRESENT: + present.append("ONNX") try: self.model_type = Model.MODEL_TYPES.ONNX - self.model = ort.InferenceSession(model_path) + self.model = ort.InferenceSession(str(model_path), providers=["CPUExecutionProvider"]) return - except Exception: - pass + except Exception as e: + if str(model_path).endswith(".onnx"): + logging.warning( + "Could not load ONNX file %s even " + "though it looks like a ONNX file with error %s. " + "Are you sure it's a ONNX file?", + model_path, + e.__repr__(), + ) raise ValueError( f"File {model_path} cannot be loaded into either " "TensorFlow, CoreML, TFLite or ONNX. " - "Please check if it is a supported and valid serialized model" + "Please check if it is a supported and valid serialized model " + "and that one of these packages are installed. On this system, " + f"{present} is installed." ) def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float32]]: @@ -118,7 +153,7 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 elif self.model_type == Model.MODEL_TYPES.COREML: return cast(ct.models.MLModel, self.model.predict({"input": x.tolist()})) # type: ignore elif self.model_type == Model.MODEL_TYPES.TFLITE: - return cast(tflite.Interpreter, self.model)(x) # type: ignore + return cast(tflite.SignatureRunner, self.model)(x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: return cast(ort.InferenceSession, self.model).run( # type: ignore ["note", "onset", "contour"], {"input": x} From 483181233c165c387831dd32cf2a9945060bda49 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 21:27:56 -0400 Subject: [PATCH 27/47] TFLite should be enabled if TF is installed --- basic_pitch/__init__.py | 24 +++++++++++++----------- basic_pitch/inference.py | 27 ++++++++++++++++++++------- 2 files changed, 33 insertions(+), 18 deletions(-) diff --git a/basic_pitch/__init__.py b/basic_pitch/__init__.py index d3b38b40..b80b2144 100644 --- a/basic_pitch/__init__.py +++ b/basic_pitch/__init__.py @@ -19,17 +19,6 @@ import logging import pathlib -try: - import tensorflow - - TF_PRESENT = True -except ImportError: - TF_PRESENT = False - logging.warning( - "Tensorflow is not installed. " - "If you plan to use a TF Saved Model, " - "reinstall basic-pitch with `pip install 'basic-pitch[tf]'`" - ) try: import coremltools @@ -69,6 +58,19 @@ ) +try: + import tensorflow + + TF_PRESENT = True +except ImportError: + TF_PRESENT = False + logging.warning( + "Tensorflow is not installed. " + "If you plan to use a TF Saved Model, " + "reinstall basic-pitch with `pip install 'basic-pitch[tf]'`" + ) + + class FilenameSuffix(enum.Enum): tf = "nmp" coreml = "nmp.mlpackage" diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index f2900c25..a89a4e15 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -24,6 +24,8 @@ from typing import Any, Dict, Iterable, List, Optional, Sequence, Tuple, Union, cast +from basic_pitch import CT_PRESENT, ONNX_PRESENT, TF_PRESENT, TFLITE_PRESENT + try: import tensorflow as tf except ImportError: @@ -37,7 +39,8 @@ try: import tflite_runtime.interpreter as tflite except ImportError: - pass + if TF_PRESENT: + import tensorflow.lite as tflite try: import onnxruntime as ort @@ -55,7 +58,6 @@ ANNOTATIONS_FPS, FFT_HOP, ) -from basic_pitch import CT_PRESENT, ONNX_PRESENT, TF_PRESENT, TFLITE_PRESENT from basic_pitch.commandline_printing import ( generating_file_message, no_tf_warnings, @@ -106,7 +108,7 @@ def __init__(self, model_path: Union[pathlib.Path, str]): e.__repr__(), ) - if TFLITE_PRESENT: + if TFLITE_PRESENT or TF_PRESENT: present.append("TensorFlowLite") try: self.model_type = Model.MODEL_TYPES.TFLITE @@ -153,11 +155,22 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 elif self.model_type == Model.MODEL_TYPES.COREML: return cast(ct.models.MLModel, self.model.predict({"input": x.tolist()})) # type: ignore elif self.model_type == Model.MODEL_TYPES.TFLITE: - return cast(tflite.SignatureRunner, self.model)(x) # type: ignore + return self.model(input_2=x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: - return cast(ort.InferenceSession, self.model).run( # type: ignore - ["note", "onset", "contour"], {"input": x} - ) + return { + k: v + for k, v in zip( + ["note", "onset", "contour"], + cast(ort.InferenceSession, self.model).run( + [ + "StatefulPartitionedCall:1", + "StatefulPartitionedCall:2", + "StatefulPartitionedCall:0", + ], + {"serving_default_input_2:0": x}, + ), + ) + } def window_audio_file( From 58010569f06c55c73c4e33ef774d0710ff128aec Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Sun, 1 Oct 2023 21:59:47 -0400 Subject: [PATCH 28/47] Move to macos-13 for mlprogram support --- .github/workflows/tox.yml | 8 ++++---- tox.ini | 1 - 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 141b0192..11da2d8c 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -6,14 +6,14 @@ on: jobs: test: name: test ${{ matrix.py }} - ${{ matrix.os }} - runs-on: ${{ matrix.os }}-latest + runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: os: - - Ubuntu - - Windows - - MacOs + - ubuntu-latest + - windows-latest + - macos-13 py: - "3.11" - "3.10" diff --git a/tox.ini b/tox.ini index fb206997..7f314070 100644 --- a/tox.ini +++ b/tox.ini @@ -20,7 +20,6 @@ setenv = # Tests with TF [testenv:full] deps = -e .[dev] -basepython=3.8 commands = pytest tests {posargs} setenv = From 863be618e5ce515cc2e3c378ab3c4ac5e309bb9b Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 17:03:04 -0400 Subject: [PATCH 29/47] Dont convert numpy array to list --- basic_pitch/inference.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index a89a4e15..85e2f4e4 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -153,7 +153,7 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 if self.model_type == Model.MODEL_TYPES.TENSORFLOW: return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} elif self.model_type == Model.MODEL_TYPES.COREML: - return cast(ct.models.MLModel, self.model.predict({"input": x.tolist()})) # type: ignore + return cast(ct.models.MLModel, self.model.predict({"input": x})) # type: ignore elif self.model_type == Model.MODEL_TYPES.TFLITE: return self.model(input_2=x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: From fde6787166b971bb1860ee1a3a94cfb14c611e33 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 17:52:24 -0400 Subject: [PATCH 30/47] debug --- .github/workflows/tox.yml | 2 +- basic_pitch/inference.py | 5 ++++- tox.ini | 2 +- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 11da2d8c..a28a0290 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -13,7 +13,7 @@ jobs: os: - ubuntu-latest - windows-latest - - macos-13 + - macos-latest py: - "3.11" - "3.10" diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 85e2f4e4..e97da120 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -153,7 +153,10 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 if self.model_type == Model.MODEL_TYPES.TENSORFLOW: return {k: v.numpy() for k, v in cast(tf.keras.Model, self.model(x)).items()} elif self.model_type == Model.MODEL_TYPES.COREML: - return cast(ct.models.MLModel, self.model.predict({"input": x})) # type: ignore + print(f"isfinite: {np.all(np.isfinite(x))}", flush=True) + print(f"shape: {x.shape}", flush=True) + print(f"dtype: {x.dtype}", flush=True) + return cast(ct.models.MLModel, self.model).predict({"input": x}) # type: ignore elif self.model_type == Model.MODEL_TYPES.TFLITE: return self.model(input_2=x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: diff --git a/tox.ini b/tox.ini index 7f314070..5568774e 100644 --- a/tox.ini +++ b/tox.ini @@ -11,7 +11,7 @@ requires = [testenv] deps = -e .[test] commands = - pytest tests --ignore tests/test_nn.py {posargs} + pytest tests --ignore tests/test_nn.py -s {posargs} setenv = SOURCE = {toxinidir}/basic_pitch TEST_SOURCE = {toxinidir}/tests From 71c74ca4f7042e84b743538a02786073c0fb6d2e Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 20:12:35 -0400 Subject: [PATCH 31/47] Bump setup-python --- .github/workflows/tox.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index a28a0290..778d7c20 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -21,7 +21,7 @@ jobs: - "3.8" steps: - name: Setup python for test ${{ matrix.py }} - uses: actions/setup-python@v3 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.py }} - uses: actions/checkout@v3 From 08673da91849069ef6aa1262784459e6fc91c346 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 20:23:18 -0400 Subject: [PATCH 32/47] reconvert the coreml model --- .../Data/com.apple.CoreML/model.mlmodel | Bin 122834 -> 122834 bytes .../Data/com.apple.CoreML/weights/weight.bin | Bin 145956 -> 145956 bytes .../icassp_2022/nmp.mlpackage/Manifest.json | 6 +++--- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Data/com.apple.CoreML/model.mlmodel b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Data/com.apple.CoreML/model.mlmodel index f70fef0d6aad9f642f2fa8fd62c13e79dc31c89d..6abd6613b6df8df96757293ea7de0514f1fffb65 100644 GIT binary patch delta 53 zcmV-50LuT;zX#I42au)#GJ&VHrvV_(2Qv}`3IYfhm*K$y9|1Fyz$6)$2hahJ0W-Ik L&;d9P12Qf!7m^Xt delta 53 zcmV-50LuT;zX#I42au)#Gl8eIrvV_(2Q(4{3IYfhm*K$y9|1Izz$6)$2hahJ0W`Ol L&;d9P12Zl#7zGj5 diff --git a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Data/com.apple.CoreML/weights/weight.bin b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Data/com.apple.CoreML/weights/weight.bin index 2871b09d11018610feecda01a2366d517093208f..27dbd33ba5ad5bf22a185005ba07ee85da7ebac4 100644 GIT binary patch delta 900 zcmZ4Tg=5JVjtLPe1xugqW@2Dqm~h}yE+deh(#y&Mq9>U3fWtN~izfVVa||VLJ}{ zq2drjd6{CEiBoDL$TUZSD5cZ?XaemQ*n!=Cn7bhMYcb8?QYpZp6lMe@s7#qwumAwp CToSAR diff --git a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json index 884803da..e2ba7bbf 100644 --- a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json +++ b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json @@ -1,18 +1,18 @@ { "fileFormatVersion": "1.0.0", "itemInfoEntries": { - "2DFFAB47-B4DD-4386-B1A5-BF5E85C7EB2A": { + "5801BA7A-2770-4102-B305-47CD350ED73E": { "author": "com.apple.CoreML", "description": "CoreML Model Specification", "name": "model.mlmodel", "path": "com.apple.CoreML/model.mlmodel" }, - "403F4E6F-A404-4968-8017-279110B82EF3": { + "E537DFD0-055A-40BD-B5FB-6AD7A789DE75": { "author": "com.apple.CoreML", "description": "CoreML Model Weights", "name": "weights", "path": "com.apple.CoreML/weights" } }, - "rootModelIdentifier": "2DFFAB47-B4DD-4386-B1A5-BF5E85C7EB2A" + "rootModelIdentifier": "5801BA7A-2770-4102-B305-47CD350ED73E" } From 989baf56d94fd6d4a6d54156df7e9076e301e07c Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 22:07:47 -0400 Subject: [PATCH 33/47] Enable faulthandler --- tests/test_inference.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/test_inference.py b/tests/test_inference.py index 02ce64ea..77334d13 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -15,6 +15,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +import faulthandler import os import pathlib import tempfile @@ -36,6 +37,8 @@ RESOURCES_PATH = pathlib.Path(__file__).parent / "resources" +faulthandler.enable() + class TestPredict(unittest.TestCase): def test_predict(self) -> None: From f87fbc26b11deaf8737d9dd2db93a1bed6a8700d Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 22:11:46 -0400 Subject: [PATCH 34/47] pin sklearn --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 1bf672d1..96615b12 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,7 @@ dependencies = [ "typing_extensions", "tensorflow>=2.4.1; platform_system != 'Darwin' and python_version >= '3.11'", "tensorflow-macos>=2.4.1; platform_system == 'Darwin' and python_version >= '3.11'", + "scikit-learn<=1.1.2" ] [metadata] From d75956df7c0b21b6c02c48c8326eb8e75c91e131 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Mon, 2 Oct 2023 22:31:45 -0400 Subject: [PATCH 35/47] Remove unittest --- tests/test_inference.py | 280 ++++++++++++++++++++-------------------- 1 file changed, 143 insertions(+), 137 deletions(-) diff --git a/tests/test_inference.py b/tests/test_inference.py index 77334d13..1934239e 100644 --- a/tests/test_inference.py +++ b/tests/test_inference.py @@ -19,7 +19,6 @@ import os import pathlib import tempfile -import unittest from typing import Dict, List import librosa @@ -40,141 +39,148 @@ faulthandler.enable() -class TestPredict(unittest.TestCase): - def test_predict(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - model_output, midi_data, note_events = inference.predict( +def test_predict() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + model_output, midi_data, note_events = inference.predict( + test_audio_path, + inference.Model(ICASSP_2022_MODEL_PATH), + ) + assert set(model_output.keys()) == set(["note", "onset", "contour"]) + assert model_output["note"].shape == model_output["onset"].shape + assert isinstance(midi_data, pretty_midi.PrettyMIDI) + lowest_supported_midi = 21 + note_pitch_min = [n[2] >= lowest_supported_midi for n in note_events] + note_pitch_max = [n[2] <= lowest_supported_midi + ANNOTATIONS_N_SEMITONES for n in note_events] + assert all(note_pitch_min) + assert all(note_pitch_max) + assert isinstance(note_events, list) + + expected_model_output = np.load("tests/resources/vocadito_10/model_output.npz") + for k in expected_model_output.keys(): + np.testing.assert_allclose(expected_model_output[k], model_output[k], atol=1e-4, rtol=0) + + expected_note_events = np.load("tests/resources/vocadito_10/note_events.npz", allow_pickle=True) + expected_note_events = expected_note_events.get("arr_0") + + assert len(expected_note_events) == len(note_events) + for expected, calculated in zip(expected_note_events, note_events): + for i in range(len(expected)): + np.testing.assert_allclose(expected[i], calculated[i], atol=1e-4, rtol=0) + + +def test_predict_with_saves() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + with tempfile.TemporaryDirectory() as tmpdir: + inference.predict_and_save( + [test_audio_path], + tmpdir, + True, + True, + True, + True, + model_or_model_path=ICASSP_2022_MODEL_PATH, + ) + expected_midi_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.mid") + expected_csv_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.csv") + expected_npz_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.npz") + expected_sonif_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.wav") + + for output_path in [ + expected_midi_path, + expected_csv_path, + expected_npz_path, + expected_sonif_path, + ]: + assert os.path.exists(output_path) + + +def test_predict_onset_threshold() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + for onset_threshold in [0, 0.3, 0.8, 1]: + inference.predict( + test_audio_path, + ICASSP_2022_MODEL_PATH, + onset_threshold=onset_threshold, + ) + + +def test_predict_frame_threshold() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + for frame_threshold in [0, 0.3, 0.8, 1]: + inference.predict( + test_audio_path, + ICASSP_2022_MODEL_PATH, + frame_threshold=frame_threshold, + ) + + +def test_predict_min_note_length() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + for minimum_note_length in [10, 100, 1000]: + _, _, note_events = inference.predict( + test_audio_path, + ICASSP_2022_MODEL_PATH, + minimum_note_length=minimum_note_length, + ) + min_len_s = minimum_note_length / 1000.0 + note_lengths = [n[1] - n[0] >= min_len_s for n in note_events] + assert all(note_lengths) + + +def test_predict_min_freq() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + for minimum_frequency in [40, 80, 200, 2000]: + _, _, note_events = inference.predict( + test_audio_path, + ICASSP_2022_MODEL_PATH, + minimum_frequency=minimum_frequency, + ) + min_freq_midi = np.round(librosa.hz_to_midi(minimum_frequency)) + note_pitch = [n[2] >= min_freq_midi for n in note_events] + assert all(note_pitch) + + +def test_predict_max_freq() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + for maximum_frequency in [40, 80, 200, 2000]: + _, _, note_events = inference.predict( test_audio_path, - inference.Model(ICASSP_2022_MODEL_PATH), + ICASSP_2022_MODEL_PATH, + maximum_frequency=maximum_frequency, ) - assert set(model_output.keys()) == set(["note", "onset", "contour"]) - assert model_output["note"].shape == model_output["onset"].shape - assert isinstance(midi_data, pretty_midi.PrettyMIDI) - lowest_supported_midi = 21 - note_pitch_min = [n[2] >= lowest_supported_midi for n in note_events] - note_pitch_max = [n[2] <= lowest_supported_midi + ANNOTATIONS_N_SEMITONES for n in note_events] - assert all(note_pitch_min) - assert all(note_pitch_max) - assert isinstance(note_events, list) - - expected_model_output = np.load("tests/resources/vocadito_10/model_output.npz") - for k in expected_model_output.keys(): - np.testing.assert_allclose(expected_model_output[k], model_output[k], atol=1e-4, rtol=0) - - expected_note_events = np.load("tests/resources/vocadito_10/note_events.npz", allow_pickle=True) - expected_note_events = expected_note_events.get("arr_0") - - assert len(expected_note_events) == len(note_events) - for expected, calculated in zip(expected_note_events, note_events): - for i in range(len(expected)): - np.testing.assert_allclose(expected[i], calculated[i], atol=1e-4, rtol=0) - - def test_predict_with_saves(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - with tempfile.TemporaryDirectory() as tmpdir: - inference.predict_and_save( - [test_audio_path], - tmpdir, - True, - True, - True, - True, - model_or_model_path=ICASSP_2022_MODEL_PATH, - ) - expected_midi_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.mid") - expected_csv_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.csv") - expected_npz_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.npz") - expected_sonif_path = tmpdir / pathlib.Path("vocadito_10_basic_pitch.wav") - - for output_path in [ - expected_midi_path, - expected_csv_path, - expected_npz_path, - expected_sonif_path, - ]: - assert os.path.exists(output_path) - - def test_predict_onset_threshold(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - for onset_threshold in [0, 0.3, 0.8, 1]: - inference.predict( - test_audio_path, - ICASSP_2022_MODEL_PATH, - onset_threshold=onset_threshold, - ) - - def test_predict_frame_threshold(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - for frame_threshold in [0, 0.3, 0.8, 1]: - inference.predict( - test_audio_path, - ICASSP_2022_MODEL_PATH, - frame_threshold=frame_threshold, - ) - - def test_predict_min_note_length(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - for minimum_note_length in [10, 100, 1000]: - _, _, note_events = inference.predict( - test_audio_path, - ICASSP_2022_MODEL_PATH, - minimum_note_length=minimum_note_length, - ) - min_len_s = minimum_note_length / 1000.0 - note_lengths = [n[1] - n[0] >= min_len_s for n in note_events] - assert all(note_lengths) - - def test_predict_min_freq(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - for minimum_frequency in [40, 80, 200, 2000]: - _, _, note_events = inference.predict( - test_audio_path, - ICASSP_2022_MODEL_PATH, - minimum_frequency=minimum_frequency, - ) - min_freq_midi = np.round(librosa.hz_to_midi(minimum_frequency)) - note_pitch = [n[2] >= min_freq_midi for n in note_events] - assert all(note_pitch) - - def test_predict_max_freq(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - for maximum_frequency in [40, 80, 200, 2000]: - _, _, note_events = inference.predict( - test_audio_path, - ICASSP_2022_MODEL_PATH, - maximum_frequency=maximum_frequency, - ) - max_freq_midi = np.round(librosa.hz_to_midi(maximum_frequency)) - note_pitch = [n[2] <= max_freq_midi for n in note_events] - assert all(note_pitch) - - def test_window_audio_file(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) - audio_windowed, window_times = zip(*inference.window_audio_file(audio, AUDIO_N_SAMPLES - 30 * FFT_HOP)) - assert len(audio_windowed) == 6 - assert len(window_times) == 6 - for time in window_times: - assert time["start"] <= time["end"] - np.testing.assert_equal(audio[:AUDIO_N_SAMPLES], np.squeeze(audio_windowed[0])) - - def test_get_audio_input(self) -> None: - test_audio_path = RESOURCES_PATH / "vocadito_10.wav" - audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) - overlap_len = 30 * FFT_HOP - audio = np.concatenate([np.zeros((overlap_len // 2,), dtype=np.float32), audio]) - audio_windowed: List[npt.NDArray[np.float32]] = [] - window_times: List[Dict[str, float]] = [] - for audio_window, window_time, original_length in inference.get_audio_input( - test_audio_path, overlap_len, AUDIO_N_SAMPLES - overlap_len - ): - audio_windowed.append(audio_window) - window_times.append(window_time) - audio_windowed = np.array(audio_windowed) - assert len(audio_windowed) == 6 - assert len(window_times) == 6 - for time in window_times: - assert time["start"] <= time["end"] - np.testing.assert_equal(audio[:AUDIO_N_SAMPLES], np.squeeze(audio_windowed[0])) - - assert original_length == 200607 + max_freq_midi = np.round(librosa.hz_to_midi(maximum_frequency)) + note_pitch = [n[2] <= max_freq_midi for n in note_events] + assert all(note_pitch) + + +def test_window_audio_file() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) + audio_windowed, window_times = zip(*inference.window_audio_file(audio, AUDIO_N_SAMPLES - 30 * FFT_HOP)) + assert len(audio_windowed) == 6 + assert len(window_times) == 6 + for time in window_times: + assert time["start"] <= time["end"] + np.testing.assert_equal(audio[:AUDIO_N_SAMPLES], np.squeeze(audio_windowed[0])) + + +def test_get_audio_input() -> None: + test_audio_path = RESOURCES_PATH / "vocadito_10.wav" + audio, _ = librosa.load(str(test_audio_path), sr=AUDIO_SAMPLE_RATE, mono=True) + overlap_len = 30 * FFT_HOP + audio = np.concatenate([np.zeros((overlap_len // 2,), dtype=np.float32), audio]) + audio_windowed: List[npt.NDArray[np.float32]] = [] + window_times: List[Dict[str, float]] = [] + for audio_window, window_time, original_length in inference.get_audio_input( + test_audio_path, overlap_len, AUDIO_N_SAMPLES - overlap_len + ): + audio_windowed.append(audio_window) + window_times.append(window_time) + audio_windowed = np.array(audio_windowed) + assert len(audio_windowed) == 6 + assert len(window_times) == 6 + for time in window_times: + assert time["start"] <= time["end"] + np.testing.assert_equal(audio[:AUDIO_N_SAMPLES], np.squeeze(audio_windowed[0])) + + assert original_length == 200607 From a5ab7392dfb4b3f1d21f7c6106a42cb2a9138799 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 3 Oct 2023 19:35:01 -0400 Subject: [PATCH 36/47] Include tensortype input for model --- basic_pitch/inference.py | 7 ++++++- .../Data/com.apple.CoreML/model.mlmodel | Bin 122834 -> 123027 bytes .../Data/com.apple.CoreML/weights/weight.bin | Bin 145956 -> 145956 bytes .../icassp_2022/nmp.mlpackage/Manifest.json | 6 +++--- 4 files changed, 9 insertions(+), 4 deletions(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index e97da120..eb08d014 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -156,7 +156,12 @@ def predict(self, x: npt.NDArray[np.float32]) -> Dict[str, npt.NDArray[np.float3 print(f"isfinite: {np.all(np.isfinite(x))}", flush=True) print(f"shape: {x.shape}", flush=True) print(f"dtype: {x.dtype}", flush=True) - return cast(ct.models.MLModel, self.model).predict({"input": x}) # type: ignore + result = cast(ct.models.MLModel, self.model).predict({"input_2": x}) + return { + "note": result["Identity_1"], + "onset": result["Identity_2"], + "contour": result["Identity"], + } elif self.model_type == Model.MODEL_TYPES.TFLITE: return self.model(input_2=x) # type: ignore elif self.model_type == Model.MODEL_TYPES.ONNX: diff --git 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a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json index e2ba7bbf..37bfe14d 100644 --- a/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json +++ b/basic_pitch/saved_models/icassp_2022/nmp.mlpackage/Manifest.json @@ -1,18 +1,18 @@ { "fileFormatVersion": "1.0.0", "itemInfoEntries": { - "5801BA7A-2770-4102-B305-47CD350ED73E": { + "7EB69391-53BD-4281-BFA1-831180579ABC": { "author": "com.apple.CoreML", "description": "CoreML Model Specification", "name": "model.mlmodel", "path": "com.apple.CoreML/model.mlmodel" }, - "E537DFD0-055A-40BD-B5FB-6AD7A789DE75": { + "C784FB56-1BA8-4A0E-AC2A-F0388FE1A2DB": { "author": "com.apple.CoreML", "description": "CoreML Model Weights", "name": "weights", "path": "com.apple.CoreML/weights" } }, - "rootModelIdentifier": "5801BA7A-2770-4102-B305-47CD350ED73E" + "rootModelIdentifier": "7EB69391-53BD-4281-BFA1-831180579ABC" } From 1609d5128167224e6e6b5a38e67a9e50c5da2719 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Fri, 17 Nov 2023 10:18:19 -0500 Subject: [PATCH 37/47] Force rerun of workflows --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 5155e599..228bb256 100644 --- a/README.md +++ b/README.md @@ -90,9 +90,9 @@ basic-pitch `: -- `--sonify-midi` to additionally save a `.wav` audio rendering of the MIDI file -- `--save-model-outputs` to additionally save raw model outputs as an NPZ file -- `--save-note-events` to additionally save the predicted note events as a CSV file +- `--sonify-midi` to additionally save a `.wav` audio rendering of the MIDI file. +- `--save-model-outputs` to additionally save raw model outputs as an NPZ file. +- `--save-note-events` to additionally save the predicted note events as a CSV file. If you want to use a non-default model type (e.g., use CoreML instead of TF), use the `--model-serialization` argument. The CLI will change the loaded model to the type you prefer. From b6b8b578c6b6e8b64ce74bd8d667615fa3214004 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 27 Feb 2024 12:29:17 -0500 Subject: [PATCH 38/47] Try an M1 mac --- .github/workflows/tox.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 778d7c20..55860abc 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -13,7 +13,7 @@ jobs: os: - ubuntu-latest - windows-latest - - macos-latest + - macos-latest-xlarge py: - "3.11" - "3.10" From 8ef7ebc0b1d643ea5338d1c81570a070c374191d Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 27 Feb 2024 13:59:25 -0500 Subject: [PATCH 39/47] More specific python versions --- .github/workflows/tox.yml | 10 +++++----- tox.ini | 8 ++++---- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 55860abc..2599dd89 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -15,10 +15,10 @@ jobs: - windows-latest - macos-latest-xlarge py: - - "3.11" - - "3.10" - - "3.9" - - "3.8" + - "3.11.8" + - "3.10.11" + - "3.9.18" + - "3.8.8" steps: - name: Setup python for test ${{ matrix.py }} uses: actions/setup-python@v4 @@ -41,7 +41,7 @@ jobs: # We will only check this on the minimum python version - name: Check formatting, lint and mypy run: tox -c tox.ini -e check-formatting,lint,mypy - if: matrix.py == '3.8' + if: matrix.py == '3.10.11' - name: Run test suite run: tox -c tox.ini -e py,manifest,full - name: Check that basic-pitch can be run as a commandline diff --git a/tox.ini b/tox.ini index 5568774e..24a1df56 100644 --- a/tox.ini +++ b/tox.ini @@ -33,27 +33,27 @@ skip_install = true commands = check-manifest --ignore 'tests/*' [testenv:check-formatting] -basepython = python3.8 +basepython = python3.10 deps = black==23.1.0 skip_install = true commands = black {env:SOURCE} tests --line-length {env:LINE_LENGTH} --diff --check [testenv:format] -basepython = python3.8 +basepython = python3.10 deps = black skip_install = true commands = black {env:SOURCE} tests --line-length {env:LINE_LENGTH} [testenv:lint] -basepython = python3.8 +basepython = python3.10 deps = flake8 skip_install = true commands = flake8 [testenv:mypy] -basepython = python3.8 +basepython = python3.10 deps = mypy commands = mypy basic_pitch tests --strict --ignore-missing-imports --allow-subclassing-any From c5a5e21e9ad32bf1547dc87d81736fc4282abc18 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 27 Feb 2024 23:37:10 -0500 Subject: [PATCH 40/47] conditionals --- .github/workflows/tox.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 2599dd89..9324e314 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -44,5 +44,6 @@ jobs: if: matrix.py == '3.10.11' - name: Run test suite run: tox -c tox.ini -e py,manifest,full + if: matrix.os == 'ubuntu-latest' || matrix.os == 'windows-latest' || matrix.py == '3.10.11' || matrix.py == '3.11.8' - name: Check that basic-pitch can be run as a commandline run: pip3 install -e . && basic-pitch --help From 99551a199eded0b0d3ae96be5b0eac12c725915e Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 29 Feb 2024 15:13:39 -0500 Subject: [PATCH 41/47] custom macos matrix --- .github/workflows/tox.yml | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 9324e314..1757bd3b 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -13,12 +13,16 @@ jobs: os: - ubuntu-latest - windows-latest - - macos-latest-xlarge py: - - "3.11.8" - - "3.10.11" - - "3.9.18" - - "3.8.8" + - "3.11" + - "3.10" + - "3.9" + - "3.8" + include: + - os: macos-latest-xlarge + py: "3.10.11" + - os: macos-latest-xlarge + py: "3.11.8" steps: - name: Setup python for test ${{ matrix.py }} uses: actions/setup-python@v4 @@ -41,9 +45,8 @@ jobs: # We will only check this on the minimum python version - name: Check formatting, lint and mypy run: tox -c tox.ini -e check-formatting,lint,mypy - if: matrix.py == '3.10.11' + if: matrix.py == '3.10' - name: Run test suite run: tox -c tox.ini -e py,manifest,full - if: matrix.os == 'ubuntu-latest' || matrix.os == 'windows-latest' || matrix.py == '3.10.11' || matrix.py == '3.11.8' - name: Check that basic-pitch can be run as a commandline run: pip3 install -e . && basic-pitch --help From 32386896aba0c23cb1b52dc94a501f4c5b4bc9d4 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 29 Feb 2024 15:35:08 -0500 Subject: [PATCH 42/47] Install llvm libopenmp on mac --- .github/workflows/tox.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tox.yml b/.github/workflows/tox.yml index 1757bd3b..9f9efdc6 100644 --- a/.github/workflows/tox.yml +++ b/.github/workflows/tox.yml @@ -33,7 +33,7 @@ jobs: run: sudo apt-get update && sudo apt-get install --no-install-recommends -y --fix-missing pkg-config libsndfile1 if: matrix.os == 'Ubuntu' - name: Install soundlibs MacOs - run: brew install libsndfile + run: brew install libsndfile llvm libomp if: matrix.os == 'MacOs' - name: Install soundlibs Windows run: choco install libsndfile From 76a759cbc9e6e82efe07f72233bb194248acc9b0 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Thu, 29 Feb 2024 15:40:37 -0500 Subject: [PATCH 43/47] unpin scikit learn --- pyproject.toml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 96615b12..e23e7a04 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,12 +24,12 @@ dependencies = [ "onnxruntime; platform_system == 'Windows' and python_version < '3.11'", "pretty_midi>=0.2.9", "resampy>=0.2.2", + "scikit-learn", "scipy>=1.4.1", - "tflite-runtime; platform_system == 'Linux' and python_version < '3.11'", - "typing_extensions", "tensorflow>=2.4.1; platform_system != 'Darwin' and python_version >= '3.11'", "tensorflow-macos>=2.4.1; platform_system == 'Darwin' and python_version >= '3.11'", - "scikit-learn<=1.1.2" + "tflite-runtime; platform_system == 'Linux' and python_version < '3.11'", + "typing_extensions", ] [metadata] From c8cede9bd56f75933cc13a9612754ffba11f23a2 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 12 Mar 2024 09:18:07 -0400 Subject: [PATCH 44/47] Take care of documentation comments --- README.md | 2 +- basic_pitch/inference.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 228bb256..00acb6e0 100644 --- a/README.md +++ b/README.md @@ -67,7 +67,7 @@ By default, Basic Pitch will attempt to load a model in the following order: Additionally, the module variable ICASSP_2022_MODEL_PATH will default to the first available version in the list. -We will explain how to override this priority list below. Because all other model serializations were converted from TensorFlow, we recommend using TensorFlow when possible. +We will explain how to override this priority list below. Because all other model serializations were converted from TensorFlow, we recommend using TensorFlow when possible. N.B. Basic Pitch does not install TensorFlow by default to save the user time when installing and running Basic Pitch. #### Command Line Tool diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index eb08d014..8019707b 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -103,7 +103,7 @@ def __init__(self, model_path: Union[pathlib.Path, str]): logging.warning( "Could not load CoreML file %s even " "though it looks like a CoreML file with error %s. " - "Are you sure it's a TFLite file?", + "Are you sure it's a CoreML file?", model_path, e.__repr__(), ) From ede09c9e190ed2064275f6d739d6c6c15eda5047 Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 12 Mar 2024 09:53:07 -0400 Subject: [PATCH 45/47] Format --- basic_pitch/inference.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/basic_pitch/inference.py b/basic_pitch/inference.py index 8019707b..7d79cf81 100644 --- a/basic_pitch/inference.py +++ b/basic_pitch/inference.py @@ -423,7 +423,11 @@ def predict( melodia_trick: bool = True, debug_file: Optional[pathlib.Path] = None, midi_tempo: float = 120, -) -> Tuple[Dict[str, np.array], pretty_midi.PrettyMIDI, List[Tuple[float, float, int, float, Optional[List[int]]]],]: +) -> Tuple[ + Dict[str, np.array], + pretty_midi.PrettyMIDI, + List[Tuple[float, float, int, float, Optional[List[int]]]], +]: """Run a single prediction. Args: From ef94d1a15ae4382f51734e15f8eee05e02ea8a2f Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 12 Mar 2024 15:28:57 -0400 Subject: [PATCH 46/47] Pin tf<2.16 and resolve in a future pr --- pyproject.toml | 8 ++++---- tests/resources/vocadito_10/model_output.npz | Bin 1377070 -> 1376949 bytes tests/resources/vocadito_10/note_events.npz | Bin 19301 -> 19044 bytes tests/test_inference.py | 5 ++--- tox.ini | 2 +- 5 files changed, 7 insertions(+), 8 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e23e7a04..24698370 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,10 +23,10 @@ dependencies = [ "numpy>=1.18", "onnxruntime; platform_system == 'Windows' and python_version < '3.11'", "pretty_midi>=0.2.9", - "resampy>=0.2.2", + "resampy>=0.2.2,<0.4.3", "scikit-learn", "scipy>=1.4.1", - "tensorflow>=2.4.1; platform_system != 'Darwin' and python_version >= '3.11'", + "tensorflow>=2.4.1,<2.16; platform_system != 'Darwin' and python_version >= '3.11'", "tensorflow-macos>=2.4.1; platform_system == 'Darwin' and python_version >= '3.11'", "tflite-runtime; platform_system == 'Linux' and python_version < '3.11'", "typing_extensions", @@ -56,8 +56,8 @@ test = [ "pytest-mock", ] tf = [ - "tensorflow>=2.4.1; platform_system != 'Darwin'", - "tensorflow-macos>=2.4.1; platform_system == 'Darwin' and python_version > '3.7'", + "tensorflow>=2.4.1,<2.16; platform_system != 'Darwin'", + "tensorflow-macos>=2.4.1,<2.16; platform_system == 'Darwin' and python_version > '3.7'", ] coreml = ["coremltools"] onnx = ["onnxruntime"] diff --git a/tests/resources/vocadito_10/model_output.npz b/tests/resources/vocadito_10/model_output.npz index 8719f8a802f08e594e491645fb080df5e3159d2c..9b2a4045220e727da3339bb3690c2b2eccd2f018 100644 GIT binary patch delta 91724 zcmYKG1zc6x`#p|(P*jv#Dk1_RVxwaBI@pEXEn^LKVe8oKSfg%pY{hPmfr?VMlP*Q< z?m~y(;{Ex5U;lZ%oQvFh&)H}1XFtz+)>_+htNUMF)xT-)u%gAv75Tsa0*jOq*JJCt 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Q{?drQ?(*Y4!_IvFpA!Rt+yDRo diff --git a/tests/resources/vocadito_10/note_events.npz b/tests/resources/vocadito_10/note_events.npz index ffd860c5ae19345538d82f87210c9d72990dd20a..a5e7d51bd84bcb7fc82feb23dde4c093b3682d3e 100644 GIT binary patch delta 98 zcmaDljq%A8Mxg+2W)=|!2vB5@J9p#x#;fMGj4wCy+TG=`1@Z5AGBAKJCsY-PYG4GB ciA6>626}k~l>y$YY#;$fAT$Tk;$9#g04Ty0ssI20 delta 267 zcmaDdh4JY$#;5>qW)=|!2vB5b(*1F{5y$~y0R|C<#GIV`^7w+x-s##fuYZ13_^qgoBI0z@`2f=G0S1b8zti7+D^4l?bICj$crbAmKLK?CDqAS None: assert all(note_pitch_max) assert isinstance(note_events, list) - expected_model_output = np.load("tests/resources/vocadito_10/model_output.npz") + expected_model_output = np.load("tests/resources/vocadito_10/model_output.npz", allow_pickle=True)["arr_0"].item() for k in expected_model_output.keys(): np.testing.assert_allclose(expected_model_output[k], model_output[k], atol=1e-4, rtol=0) - expected_note_events = np.load("tests/resources/vocadito_10/note_events.npz", allow_pickle=True) - expected_note_events = expected_note_events.get("arr_0") + expected_note_events = np.load("tests/resources/vocadito_10/note_events.npz", allow_pickle=True)["arr_0"] assert len(expected_note_events) == len(note_events) for expected, calculated in zip(expected_note_events, note_events): diff --git a/tox.ini b/tox.ini index 24a1df56..38a93806 100644 --- a/tox.ini +++ b/tox.ini @@ -11,7 +11,7 @@ requires = [testenv] deps = -e .[test] commands = - pytest tests --ignore tests/test_nn.py -s {posargs} + pytest tests --ignore tests/test_nn.py {posargs} setenv = SOURCE = {toxinidir}/basic_pitch TEST_SOURCE = {toxinidir}/tests From 638da873451f3a4c49d665c7502a4cc54f6a081b Mon Sep 17 00:00:00 2001 From: David Rubinstein Date: Tue, 12 Mar 2024 15:32:40 -0400 Subject: [PATCH 47/47] unpin black in check-formatting --- tox.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tox.ini b/tox.ini index 38a93806..cbb2c008 100644 --- a/tox.ini +++ b/tox.ini @@ -34,7 +34,7 @@ commands = check-manifest --ignore 'tests/*' [testenv:check-formatting] basepython = python3.10 -deps = black==23.1.0 +deps = black skip_install = true commands = black {env:SOURCE} tests --line-length {env:LINE_LENGTH} --diff --check