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Last active November 26, 2019 13:19
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Kapre_Testing_Colab_Bench.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Kapre_Testing_Colab_Bench.ipynb",
"provenance": [],
"collapsed_sections": [
"PENjfQdJ188L"
],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/XReyRobert/b87fdd8bd91b6d2631921e2c9e2e1bd4/kapre_testing_colab_bench.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8UHAMpXFnl6Q",
"colab_type": "text"
},
"source": [
"#Quick colab notebook in order to test Kapre against different versions of Keras / Tensorflow\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TsIGVKH50FGL",
"colab_type": "text"
},
"source": [
"#Parameters\n",
"Make sure to use **Runtime->Reset** all runtimes to properly use the right modules !"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lE44K-4Pn9HL",
"colab_type": "text"
},
"source": [
"**Comment / Uncomment to change Tensorflow version**"
]
},
{
"cell_type": "code",
"metadata": {
"id": "dk4WIkNFn6iU",
"colab_type": "code",
"colab": {}
},
"source": [
"%tensorflow_version 1.x\n",
"#%tensorflow_version 2.x\n",
"import tensorflow\n",
"\n",
"use_standalone_keras = False\n"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "P_nrozRKpySs",
"colab_type": "text"
},
"source": [
"**Eventually install Kapre RP**\n",
"(Change PR number and uncomment if needed)\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "a6l1tPttp2eP",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 578
},
"outputId": "8da68bde-6aad-47e0-820f-9adec6844535"
},
"source": [
"#Change number to reflect PR to install\n",
"\n",
"!pip install git+https://github.com/keunwoochoi/kapre@refs/pull/56/merge"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting git+https://github.com/keunwoochoi/kapre@refs/pull/56/merge\n",
" Cloning https://github.com/keunwoochoi/kapre (to revision refs/pull/56/merge) to /tmp/pip-req-build-lluzmqsh\n",
" Running command git clone -q https://github.com/keunwoochoi/kapre /tmp/pip-req-build-lluzmqsh\n",
"\u001b[33m WARNING: Did not find branch or tag 'refs/pull/56/merge', assuming revision or ref.\u001b[0m\n",
" Running command git fetch -q https://github.com/keunwoochoi/kapre refs/pull/56/merge\n",
" Running command git checkout -q 8a1d4fed8b420071b2aa7db06349e9298f5f2fec\n",
"Requirement already satisfied: keras>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from kapre==0.1.5) (2.2.5)\n",
"Requirement already satisfied: numpy>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from kapre==0.1.5) (1.17.4)\n",
"Requirement already satisfied: librosa>=0.5 in /usr/local/lib/python3.6/dist-packages (from kapre==0.1.5) (0.6.3)\n",
"Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from kapre==0.1.5) (0.16.0)\n",
"Requirement already satisfied: keras-applications>=1.0.8 in /usr/local/lib/python3.6/dist-packages (from keras>=2.0.0->kapre==0.1.5) (1.0.8)\n",
"Requirement already satisfied: keras-preprocessing>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from keras>=2.0.0->kapre==0.1.5) (1.1.0)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/dist-packages (from keras>=2.0.0->kapre==0.1.5) (3.13)\n",
"Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras>=2.0.0->kapre==0.1.5) (2.8.0)\n",
"Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.6/dist-packages (from keras>=2.0.0->kapre==0.1.5) (1.12.0)\n",
"Requirement already satisfied: scipy>=0.14 in /usr/local/lib/python3.6/dist-packages (from keras>=2.0.0->kapre==0.1.5) (1.3.2)\n",
"Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from librosa>=0.5->kapre==0.1.5) (0.21.3)\n",
"Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa>=0.5->kapre==0.1.5) (2.1.8)\n",
"Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.6/dist-packages (from librosa>=0.5->kapre==0.1.5) (0.14.0)\n",
"Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa>=0.5->kapre==0.1.5) (4.4.1)\n",
"Requirement already satisfied: numba>=0.38.0 in /usr/local/lib/python3.6/dist-packages (from librosa>=0.5->kapre==0.1.5) (0.40.1)\n",
"Requirement already satisfied: resampy>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from librosa>=0.5->kapre==0.1.5) (0.2.2)\n",
"Requirement already satisfied: llvmlite>=0.25.0dev0 in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa>=0.5->kapre==0.1.5) (0.30.0)\n",
"Building wheels for collected packages: kapre\n",
" Building wheel for kapre (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for kapre: filename=kapre-0.1.5-cp36-none-any.whl size=12569 sha256=5c3461026d0adf0a8db24e4680622f502d56a15c3fa4fcce57b7a004a7d565ae\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-ebzyk6nb/wheels/2d/38/b4/91347e59f065a798cf744efbae95cd896d3c16678f5f1e2674\n",
"Successfully built kapre\n",
"Installing collected packages: kapre\n",
" Found existing installation: kapre 0.1.3.1\n",
" Uninstalling kapre-0.1.3.1:\n",
" Successfully uninstalled kapre-0.1.3.1\n",
"Successfully installed kapre-0.1.5\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "PENjfQdJ188L",
"colab_type": "text"
},
"source": [
"#utilities"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cd3mMre4oG4S",
"colab_type": "text"
},
"source": [
"**Check Keras / Tensorflow / Tensorflow.keras versions** / Kapre\n",
"\n",
"---\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "o0gCCTNqnjWo",
"colab_type": "code",
"colab": {}
},
"source": [
"#don't import yet\n",
"\n",
"def print_versions():\n",
" print(\"tensorflow(\"+tensorflow.__version__+\") tensorflow.keras(\"+tensorflow.keras.__version__+\") compat.v1.keras(\"+tensorflow.compat.v1.keras.__version__+\")\")\n",
" print (\"Keras(\"+keras.__version__+\")\")\n",
" print (\"Kapre(\"+kapre.__version__+\")\")\n",
"\n",
" if use_standalone_keras :\n",
" print (\"Using standalone keras\")\n",
" else:\n",
" print (\"Using embeded tensorflow.keras\")\n"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "v8QJ0LmOqlXE",
"colab_type": "text"
},
"source": [
"**Download some audio**"
]
},
{
"cell_type": "code",
"metadata": {
"id": "fDrPNQg7qWxV",
"colab_type": "code",
"outputId": "3a254740-3ee3-44a7-f450-4f444a54a34f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
}
},
"source": [
"!wget http://www.evidenceaudio.com/wp-content/uploads/2014/10/lyricchords.mp3"
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"--2019-11-26 13:16:23-- http://www.evidenceaudio.com/wp-content/uploads/2014/10/lyricchords.mp3\n",
"Resolving www.evidenceaudio.com (www.evidenceaudio.com)... 184.106.55.75\n",
"Connecting to www.evidenceaudio.com (www.evidenceaudio.com)|184.106.55.75|:80... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 271017 (265K) [audio/mpeg]\n",
"Saving to: ‘lyricchords.mp3’\n",
"\n",
"\rlyricchords.mp3 0%[ ] 0 --.-KB/s \rlyricchords.mp3 83%[===============> ] 219.73K 1.05MB/s \rlyricchords.mp3 100%[===================>] 264.67K 1.26MB/s in 0.2s \n",
"\n",
"2019-11-26 13:16:23 (1.26 MB/s) - ‘lyricchords.mp3’ saved [271017/271017]\n",
"\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "60FbPRhXrt7f",
"colab_type": "text"
},
"source": [
"**Some utility functions**"
]
},
{
"cell_type": "code",
"metadata": {
"id": "4GpAR5Rors6x",
"colab_type": "code",
"colab": {}
},
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"\n",
"def print_info():\n",
" now = datetime.now()\n",
" print('%s/%s/%s' % (now.year, now.month, now.day))\n",
" print('librosa version: {}'.format(librosa.__version__))\n",
" print('Keras version: {}'.format(keras.__version__))\n",
" if keras.backend._BACKEND == 'tensorflow':\n",
" import tensorflow\n",
" print('Keras backend: {}: {}'.format(keras.backend._backend, tensorflow.__version__))\n",
" elif keras.backend._BACKEND == 'theano':\n",
" import theano\n",
" print('Keras backend: {}: {}'.format(keras.backend._backend, theano.__version__))\n",
" print('Keras image data format: {}'.format(keras.backend.image_data_format()))\n",
" print('Kapre version: {}'.format(kapre.__version__))\n",
" print('\\nSampling rate: {} Hz'.format(SR))\n",
"\n",
"def check_model(model):\n",
" #model.summary(line_length=80, positions=[.33, .65, .8, 1.])\n",
"\n",
" batch_input_shape = (2,) + model.input_shape[1:]\n",
" batch_output_shape = (2,) + model.output_shape[1:]\n",
" model.compile('sgd', 'mse')\n",
" model.fit(np.random.uniform(size=batch_input_shape), np.random.uniform(size=batch_output_shape), epochs=1, verbose=0)\n",
"\n",
"def visualise_model_new(src, sr, model, hop_length, fmax, fmin=0, logam=False):\n",
" n_ch, nsp_src = model.input_shape[1:]\n",
" #src, _ = librosa.load('../srcs/bensound-cute.mp3', sr=SR, mono=True)\n",
" src = src[:nsp_src]\n",
" src_batch = src[np.newaxis, np.newaxis, :]\n",
" pred = model.predict(x=src_batch)\n",
" if keras.backend.image_data_format == 'channels_first':\n",
" result = pred[0, 0]\n",
" else:\n",
" result = pred[0, :, :, 0]\n",
" \n",
" if logam:\n",
" result = librosa.power_to_db(result)\n",
" \n",
" display.specshow(result, sr=sr, hop_length=hop_length, x_axis='time', y_axis='mel', fmin=fmin, fmax=fmax)\n",
"\n",
"def visualise_model(src, model, sr,logam=False):\n",
" n_ch, nsp_src = model.input_shape[1:]\n",
" src = src[:nsp_src]\n",
" src_batch = src[np.newaxis, np.newaxis, :]\n",
" pred = model.predict(x=src_batch)\n",
" if keras.backend.image_data_format == 'channels_first':\n",
" result = pred[0, 0]\n",
" else:\n",
" result = pred[0, :, :, 0]\n",
" \n",
" if logam:\n",
" result = librosa.power_to_db(result)\n",
" display.specshow(result, \n",
" y_axis='linear', sr=sr)\n",
" "
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "lvQrcshu2FEI",
"colab_type": "text"
},
"source": [
"#Output code"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4rKcR1eIvyDg",
"colab_type": "text"
},
"source": [
"**import proper tensorflow or embeded Keras**"
]
},
{
"cell_type": "code",
"metadata": {
"id": "TxGEKE7CszCc",
"colab_type": "code",
"colab": {}
},
"source": [
"if use_standalone_keras:\n",
" # Use standalone Keras\n",
" import keras\n",
" from keras import Sequential, Input\n",
"\n",
"else:\n",
" #Use tensorflow embeded keras\n",
" from tensorflow import keras\n",
" from tensorflow.keras import Sequential, Input"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "PfGz2DbDtuOO",
"colab_type": "text"
},
"source": [
"**Kapre output**"
]
},
{
"cell_type": "code",
"metadata": {
"id": "KuVgS5dApi7e",
"colab_type": "code",
"outputId": "75885eb6-d630-49a1-8df7-df0c7bccf4c4",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 506
}
},
"source": [
"import librosa\n",
"from librosa import display\n",
"\n",
"import kapre \n",
"from kapre.time_frequency import Spectrogram, Melspectrogram\n",
"from kapre.utils import Normalization2D\n",
"\n",
"import matplotlib.pyplot as plt\n",
"plt.style.use('ggplot')\n",
"\n",
"x, sr = librosa.load(\"lyricchords.mp3\", sr=44410, mono=True)\n",
"\n",
"input_shape = (1, len(x))\n",
"inp = Input(input_shape)\n",
"\n",
"hop_length = 512\n",
"n_fft = 4096 \n",
"n_mels = 110\n",
"\n",
"plt.figure(figsize=(14, 4))\n",
"\n",
"model = Sequential()\n",
"model.add(Melspectrogram(sr=44100, n_mels=n_mels, \n",
" n_dft=n_fft, n_hop=hop_length, input_shape=input_shape, power_melgram=2,\n",
" return_decibel_melgram=True, \n",
" trainable_kernel=True, name='melgram')) #Fmax doesn't work strange stretching\n",
"#model.add(Normalization2D(str_axis='freq'))\n",
"\n",
"check_model(model)\n",
"plt.subplot(1, 2, 1)\n",
"plt.title('log-Spectrogram by Kapre')\n",
"visualise_model(src=x, sr=44100, model=model)\n",
"\n",
"\n",
"S = librosa.feature.melspectrogram(x, sr=sr, n_fft=n_fft, \n",
" hop_length=hop_length, \n",
" n_mels=n_mels)\n",
"S_DB = librosa.power_to_db(S, ref=np.max)\n",
"plt.subplot(1, 2, 2)\n",
"librosa.display.specshow(S_DB, sr=sr, hop_length=hop_length, x_axis='time', y_axis='mel')\n",
"plt.title('log-Spectrogram by Librosa')\n",
"\n",
"print_versions()\n"
],
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"If using Keras pass *_constraint arguments to layers.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
"tensorflow(1.15.0) tensorflow.keras(2.2.4-tf) compat.v1.keras(2.2.4-tf)\n",
"Keras(2.2.4-tf)\n",
"Kapre(0.1.4)\n",
"Using embeded tensorflow.keras\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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M0//gd1Is/E5K/p109OhRbN68OeLfwYMHNct/+OGH+OMf/4hdu3bh+eefx9tvv53w3ZPM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\nYgo74wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1008x288 with 2 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "GcBXRtt6zWLC",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 85
},
"outputId": "8baf1df5-0b41-4020-9567-ed6937276c77"
},
"source": [
"print_versions()"
],
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"text": [
"tensorflow(1.15.0) tensorflow.keras(2.2.4-tf) compat.v1.keras(2.2.4-tf)\n",
"Keras(2.2.4-tf)\n",
"Kapre(0.1.4)\n",
"Using embeded tensorflow.keras\n"
],
"name": "stdout"
}
]
}
]
}
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