{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# [This competition is hosted by Kaggle GM Rob](https://www.kaggle.com/c/kaggle-pog-series-s01e02)","metadata":{}},{"cell_type":"code","source":"!pip install pretrainedmodels","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:13.530218Z","iopub.execute_input":"2022-04-08T17:41:13.530643Z","iopub.status.idle":"2022-04-08T17:41:24.334360Z","shell.execute_reply.started":"2022-04-08T17:41:13.530534Z","shell.execute_reply":"2022-04-08T17:41:24.333524Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport glob\nimport os\nimport gc\nimport time\nfrom scipy.interpolate import interp1d\nimport lightgbm as lgb\nimport xgboost as xgb\nfrom joblib import Parallel, delayed\nfrom tqdm.notebook import tqdm\nfrom scipy.stats import rankdata\n\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.model_selection import GroupKFold, StratifiedKFold\nfrom sklearn.metrics import roc_auc_score, label_ranking_average_precision_score, f1_score\nfrom collections import defaultdict\nimport soundfile as sf\n# Librosa Libraries\nimport librosa\nimport librosa.display\nimport IPython.display as ipd\nimport matplotlib.pyplot as plt\nimport pretrainedmodels\n#import cuml as cm\n#import cupy as cp\nimport torch.nn.functional as F\nimport plotly.express as px\nimport plotly.graph_objs as go\nimport scipy\nimport IPython.display as ipd","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:24.336542Z","iopub.execute_input":"2022-04-08T17:41:24.336984Z","iopub.status.idle":"2022-04-08T17:41:31.799772Z","shell.execute_reply.started":"2022-04-08T17:41:24.336948Z","shell.execute_reply":"2022-04-08T17:41:31.798979Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torchvision import datasets\nfrom torch.utils.data import Dataset, DataLoader\nimport torchaudio\nfrom torchaudio import transforms\nfrom IPython.display import Audio\nimport random\nimport cv2\nfrom PIL import Image","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:31.801383Z","iopub.execute_input":"2022-04-08T17:41:31.801628Z","iopub.status.idle":"2022-04-08T17:41:32.168930Z","shell.execute_reply.started":"2022-04-08T17:41:31.801590Z","shell.execute_reply":"2022-04-08T17:41:32.168150Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import warnings\nwarnings.filterwarnings(\"ignore\")","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:32.170842Z","iopub.execute_input":"2022-04-08T17:41:32.171110Z","iopub.status.idle":"2022-04-08T17:41:32.177123Z","shell.execute_reply.started":"2022-04-08T17:41:32.171074Z","shell.execute_reply":"2022-04-08T17:41:32.176390Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"max_len_ms = 16000\nshift_limit = 0.4\nBATCH_SIZE = 24\nnum_epochs=5\nimport copy","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:32.178530Z","iopub.execute_input":"2022-04-08T17:41:32.179074Z","iopub.status.idle":"2022-04-08T17:41:32.184884Z","shell.execute_reply.started":"2022-04-08T17:41:32.179039Z","shell.execute_reply":"2022-04-08T17:41:32.184218Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"trainfiles = glob.glob( '../input/kaggle-pog-series-s01e02/train/*.ogg' )\ntestfiles = glob.glob( '../input/kaggle-pog-series-s01e02/test/*.ogg' )\nlen(trainfiles), len(testfiles), trainfiles[0]","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:32.186441Z","iopub.execute_input":"2022-04-08T17:41:32.187033Z","iopub.status.idle":"2022-04-08T17:41:33.812565Z","shell.execute_reply.started":"2022-04-08T17:41:32.186996Z","shell.execute_reply":"2022-04-08T17:41:33.811738Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df = pd.read_csv('../input/kaggle-pog-series-s01e02/train.csv')\ntest_df = pd.read_csv('../input/kaggle-pog-series-s01e02/test.csv')\nsub_df = pd.read_csv('../input/kaggle-pog-series-s01e02/sample_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.814181Z","iopub.execute_input":"2022-04-08T17:41:33.814487Z","iopub.status.idle":"2022-04-08T17:41:33.889301Z","shell.execute_reply.started":"2022-04-08T17:41:33.814450Z","shell.execute_reply":"2022-04-08T17:41:33.888546Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"base_dir = '../input/kaggle-pog-series-s01e02'\nspec_dir = '../input/pog-train-and-test-spectograms/kaggle/spectograms/'","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.890615Z","iopub.execute_input":"2022-04-08T17:41:33.891580Z","iopub.status.idle":"2022-04-08T17:41:33.895768Z","shell.execute_reply.started":"2022-04-08T17:41:33.891541Z","shell.execute_reply":"2022-04-08T17:41:33.895019Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def get_file_path(image_id: str, is_train: bool = True) -> str:\n    folder = \"/train/\" if is_train else \"/test/\"\n    return spec_dir+folder+image_id.split('.')[0]+'.jpg'\n\ntrain_df['spec_path'] = train_df['filename'].map(get_file_path)\ntest_df['spec_path'] = test_df['filename'].map(get_file_path)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.897256Z","iopub.execute_input":"2022-04-08T17:41:33.897794Z","iopub.status.idle":"2022-04-08T17:41:33.932553Z","shell.execute_reply.started":"2022-04-08T17:41:33.897752Z","shell.execute_reply":"2022-04-08T17:41:33.931718Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"excluded_files = [\"010449.ogg\" , \"005589.ogg\" , \"004921.ogg\", \"019511.ogg\" , \"013375.ogg\" , \"024247.ogg\", \"024156.ogg\"]","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.936931Z","iopub.execute_input":"2022-04-08T17:41:33.937172Z","iopub.status.idle":"2022-04-08T17:41:33.944057Z","shell.execute_reply.started":"2022-04-08T17:41:33.937141Z","shell.execute_reply":"2022-04-08T17:41:33.943334Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_audio_files = pd.DataFrame(os.listdir(base_dir +'/train'), columns={'filename'})","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.947536Z","iopub.execute_input":"2022-04-08T17:41:33.947869Z","iopub.status.idle":"2022-04-08T17:41:33.962951Z","shell.execute_reply.started":"2022-04-08T17:41:33.947726Z","shell.execute_reply":"2022-04-08T17:41:33.962271Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df.shape, test_df.shape, train_audio_files.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.964214Z","iopub.execute_input":"2022-04-08T17:41:33.964471Z","iopub.status.idle":"2022-04-08T17:41:33.970473Z","shell.execute_reply.started":"2022-04-08T17:41:33.964440Z","shell.execute_reply":"2022-04-08T17:41:33.969662Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#train_df['spec_path'].iloc[10000]","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.971980Z","iopub.execute_input":"2022-04-08T17:41:33.972617Z","iopub.status.idle":"2022-04-08T17:41:33.979590Z","shell.execute_reply.started":"2022-04-08T17:41:33.972577Z","shell.execute_reply":"2022-04-08T17:41:33.978895Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#train_df[(train_df['filename'].isin (excluded_files))] ","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.981136Z","iopub.execute_input":"2022-04-08T17:41:33.981463Z","iopub.status.idle":"2022-04-08T17:41:33.988596Z","shell.execute_reply.started":"2022-04-08T17:41:33.981430Z","shell.execute_reply":"2022-04-08T17:41:33.987873Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df = train_df[~(train_df['filename'].isin (excluded_files))]\ntrain_df = train_df.drop([ 'filepath'], axis = 1)\nprint (train_df.shape)\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:33.989644Z","iopub.execute_input":"2022-04-08T17:41:33.989877Z","iopub.status.idle":"2022-04-08T17:41:34.014485Z","shell.execute_reply.started":"2022-04-08T17:41:33.989847Z","shell.execute_reply":"2022-04-08T17:41:34.013805Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_new = train_df.merge(train_audio_files,how = 'inner' , left_on='filename', right_on='filename') \n#df_new = df_new.drop(['filepath'], axis = 1)\ndf_new.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.015868Z","iopub.execute_input":"2022-04-08T17:41:34.016177Z","iopub.status.idle":"2022-04-08T17:41:34.043730Z","shell.execute_reply.started":"2022-04-08T17:41:34.016118Z","shell.execute_reply":"2022-04-08T17:41:34.042851Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"display (train_df.head(3), test_df.head(3),sub_df.head(3), df_new.head(3))","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.045219Z","iopub.execute_input":"2022-04-08T17:41:34.045695Z","iopub.status.idle":"2022-04-08T17:41:34.079692Z","shell.execute_reply.started":"2022-04-08T17:41:34.045659Z","shell.execute_reply":"2022-04-08T17:41:34.078943Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"N_fold = 5\nskf = StratifiedKFold(n_splits=N_fold)\n\nfor fold, ( _, val_) in enumerate(skf.split(X=df_new, y=df_new.genre_id)):\n      df_new.loc[val_ , \"kfold\"] = fold","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.080933Z","iopub.execute_input":"2022-04-08T17:41:34.081152Z","iopub.status.idle":"2022-04-08T17:41:34.099305Z","shell.execute_reply.started":"2022-04-08T17:41:34.081123Z","shell.execute_reply":"2022-04-08T17:41:34.098554Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"rec = train_df.genre_id.value_counts()\nfig = go.Figure(data=[\n    go.Bar(x=rec.index, y=rec.values, text = rec.values, textposition = 'outside', marker_color = 'teal')\n])\n\nfig.update_layout(title='Genre IDs')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.100635Z","iopub.execute_input":"2022-04-08T17:41:34.100907Z","iopub.status.idle":"2022-04-08T17:41:34.210993Z","shell.execute_reply.started":"2022-04-08T17:41:34.100875Z","shell.execute_reply":"2022-04-08T17:41:34.210286Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 3D Spectogram","metadata":{}},{"cell_type":"code","source":"def log_specgram(audio, sample_rate, window_size=20,\n                 step_size=10, eps=1e-10):\n    nperseg = int(round(window_size * sample_rate / 1e3))\n    noverlap = int(round(step_size * sample_rate / 1e3))\n    freqs, times, spec = scipy.signal.spectrogram(audio,\n                                    fs=sample_rate,\n                                    window='hann',\n                                    nperseg=nperseg,\n                                    noverlap=noverlap,\n                                    detrend=False)\n    return freqs, times, np.log(spec.T.astype(np.float32) + eps)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.213782Z","iopub.execute_input":"2022-04-08T17:41:34.214019Z","iopub.status.idle":"2022-04-08T17:41:34.222595Z","shell.execute_reply.started":"2022-04-08T17:41:34.213992Z","shell.execute_reply":"2022-04-08T17:41:34.221848Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"demo_audio = '../input/kaggle-pog-series-s01e02/train/000035.ogg'\ndemo_clip, demo_sample_rate = librosa.load(demo_audio, sr=None)\n\ndemo_freqs, demo_times, demo_spec = log_specgram(demo_clip, demo_sample_rate)\n\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.224165Z","iopub.execute_input":"2022-04-08T17:41:34.224436Z","iopub.status.idle":"2022-04-08T17:41:34.405332Z","shell.execute_reply.started":"2022-04-08T17:41:34.224402Z","shell.execute_reply":"2022-04-08T17:41:34.404338Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"trace = [go.Surface(\n    x= demo_times,\n    y= demo_freqs,\n    z= demo_spec.T,\n    colorscale='pinkyl',\n)]\nlayout = go.Layout(\ntitle='3D Specgtrogram',\nscene = dict(\n    yaxis = dict(title='Frequency', range=[demo_freqs.min(),demo_freqs .max()]),\n    xaxis = dict(title='Time', range=[demo_times.min(),demo_times.max()],),\n    zaxis = dict(title='Log amplitude'),\n    ),\n)\n#fig = go.Figure(data=trace, layout=layout)\n#fig.show()","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.407276Z","iopub.execute_input":"2022-04-08T17:41:34.407849Z","iopub.status.idle":"2022-04-08T17:41:34.474444Z","shell.execute_reply.started":"2022-04-08T17:41:34.407760Z","shell.execute_reply":"2022-04-08T17:41:34.473766Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**https://www.analyticsvidhya.com/blog/2021/06/music-genres-classification-using-deep-learning-techniques/**","metadata":{}},{"cell_type":"markdown","source":"# https://github.com/sawan16/Genre-Classification-using-Deep-learning/blob/main/genre_classification.ipynb","metadata":{}},{"cell_type":"code","source":"import os\nclasses = np.unique(train_df.genre_id)\nclasses","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.476105Z","iopub.execute_input":"2022-04-08T17:41:34.476559Z","iopub.status.idle":"2022-04-08T17:41:34.484849Z","shell.execute_reply.started":"2022-04-08T17:41:34.476524Z","shell.execute_reply":"2022-04-08T17:41:34.483840Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Mel Spectrogram generation..","metadata":{}},{"cell_type":"code","source":"def plot_audio_melspec(filename, genre):\n    y, sr = librosa.load(f\"{base_dir}/train/{filename}\")\n    S = librosa.feature.melspectrogram(y=y, sr=sr, n_mels=64, fmax=16000)\n\n    fig, ax = plt.subplots(figsize=(10, 3))\n    S_dB = librosa.power_to_db(S, ref=np.max)\n    img = librosa.display.specshow(\n        S_dB, x_axis=\"time\", y_axis=\"mel\", sr=sr, fmax=16000, ax=ax\n    )\n    fig.colorbar(img, ax=ax, format=\"%+2.0f dB\")\n    ax.set(title=f\"Mel-frequency for {genre}\")\n    plt.show()\n\n\nfor i, d in train_df.sample(10, random_state=529).iterrows():\n    plot_audio_melspec(d[\"filename\"], d[\"genre\"])","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:34.487034Z","iopub.execute_input":"2022-04-08T17:41:34.487630Z","iopub.status.idle":"2022-04-08T17:41:51.072376Z","shell.execute_reply.started":"2022-04-08T17:41:34.487587Z","shell.execute_reply":"2022-04-08T17:41:51.071693Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Processing pipleine\n\n![Screenshot 2022-03-25 at 2.58.17 PM.png](attachment:ca40efb8-09fc-4bc2-9f25-4dac870d3307.png)","metadata":{},"attachments":{"ca40efb8-09fc-4bc2-9f25-4dac870d3307.png":{"image/png":"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"}}},{"cell_type":"code","source":"train_df[['filename', 'genre']]","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.073704Z","iopub.execute_input":"2022-04-08T17:41:51.074482Z","iopub.status.idle":"2022-04-08T17:41:51.088188Z","shell.execute_reply.started":"2022-04-08T17:41:51.074445Z","shell.execute_reply":"2022-04-08T17:41:51.087444Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport cv2\nimport os","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.091016Z","iopub.execute_input":"2022-04-08T17:41:51.091203Z","iopub.status.idle":"2022-04-08T17:41:51.096471Z","shell.execute_reply.started":"2022-04-08T17:41:51.091179Z","shell.execute_reply":"2022-04-08T17:41:51.095845Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Autoencoder in pytorch","metadata":{}},{"cell_type":"code","source":"#transform = transforms.ToTensor()","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.097482Z","iopub.execute_input":"2022-04-08T17:41:51.097675Z","iopub.status.idle":"2022-04-08T17:41:51.103293Z","shell.execute_reply.started":"2022-04-08T17:41:51.097653Z","shell.execute_reply":"2022-04-08T17:41:51.102347Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"https://www.kaggle.com/code/palash97/birdclef22-pytorch-starter-cnn\n\nhttps://www.kaggle.com/code/debarshichanda/pytorch-w-b-birdclef-22-starter","metadata":{}},{"cell_type":"markdown","source":"https://towardsdatascience.com/audio-deep-learning-made-simple-sound-classification-step-by-step-cebc936bbe5","metadata":{}},{"cell_type":"markdown","source":"![Screenshot 2022-03-24 at 10.34.36 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"}}},{"cell_type":"code","source":"def resample(aud, newsr):\n    sig, sr = aud\n\n    if (sr == newsr):\n      # Nothing to do\n      return aud\n\n    num_channels = sig.shape[0]\n    # Resample first channel\n    resig = torchaudio.transforms.Resample(sr, newsr)(sig[:1,:])\n    if (num_channels > 1):\n      # Resample the second channel and merge both channels\n      retwo = torchaudio.transforms.Resample(sr, newsr)(sig[1:,:])\n      resig = torch.cat([resig, retwo])\n\n    return ((resig, newsr))","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.107481Z","iopub.execute_input":"2022-04-08T17:41:51.107813Z","iopub.status.idle":"2022-04-08T17:41:51.116388Z","shell.execute_reply.started":"2022-04-08T17:41:51.107765Z","shell.execute_reply":"2022-04-08T17:41:51.115619Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Let's consider the length of all videos to be 10 seconds (A hyperparam - to be tuned)\nmax_len_ms = 16000 # 10k milliseconds ~ 10 seconds\n\ndef pad_signal(aud, max_len_ms):\n    sig, sr = aud\n    num_channels, sig_len = sig.shape\n    max_len = sr // 1000 * max_len_ms\n    \n    if sig_len > max_len:\n        sig = sig[:, :max_len]\n    elif sig_len < max_len:\n        # padding both sides of the signal\n        pad_begin_len = random.randint(0, max_len - sig_len)\n        pad_end_len = max_len - sig_len - pad_begin_len\n        \n        # pad with zeros\n        pad_begin = torch.zeros((num_channels, pad_begin_len))\n        pad_end = torch.zeros((num_channels, pad_end_len))\n        \n        sig = torch.cat((pad_begin, sig, pad_end), 1)\n    \n    return (sig, sr)\n\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.117394Z","iopub.execute_input":"2022-04-08T17:41:51.117613Z","iopub.status.idle":"2022-04-08T17:41:51.127615Z","shell.execute_reply.started":"2022-04-08T17:41:51.117590Z","shell.execute_reply":"2022-04-08T17:41:51.126587Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Data Augmentation on raw audio: Time shift\ndef time_shift(aud, shift_limit):\n    sig, sr = aud\n    _, sig_len = sig.shape\n    shift_amt = int(random.random() * shift_limit * sig_len)\n    return (sig.roll(shift_amt), sr)\n\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.128517Z","iopub.execute_input":"2022-04-08T17:41:51.131926Z","iopub.status.idle":"2022-04-08T17:41:51.137523Z","shell.execute_reply.started":"2022-04-08T17:41:51.131896Z","shell.execute_reply":"2022-04-08T17:41:51.136735Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Convert augmented audio to Mel Spectrogram\ndef mel_spec(aud, n_mels=64, n_fft=1024, hop_len=512):\n    sig, sr = aud\n    top_db = 80\n    \n    spec = transforms.MelSpectrogram(sr, n_fft=n_fft, hop_length=hop_len, n_mels=n_mels)(sig)\n    # shape of spec: (channels, n_mels, time)\n    \n    # Convert to decibels\n    spec = transforms.AmplitudeToDB(top_db=top_db)(spec)\n    #spec = librosa.feature.melspectrogram(y=sig, sr=sr, n_mels=n_mels, fmax=8000)\n    #spec = librosa.power_to_db(spec)\n    #spec = spec.astype(np.float32)\n    return torch.stack([spec, spec, spec])\n\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.139066Z","iopub.execute_input":"2022-04-08T17:41:51.139611Z","iopub.status.idle":"2022-04-08T17:41:51.147026Z","shell.execute_reply.started":"2022-04-08T17:41:51.139564Z","shell.execute_reply":"2022-04-08T17:41:51.146325Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Data augmentation on mel spectrogram: Time and Frequency Masking\ndef spectro_augment(spec, max_mask_pct=0.1, n_freq_masks=1, n_time_masks=1):\n    #print (spec.shape)\n    _, _,n_mels, n_steps = spec.shape\n    mask_value = spec.mean()\n    aug_spec = spec\n    \n    freq_mask_param = max_mask_pct * n_mels\n    for _ in range(n_freq_masks):\n        aug_spec = transforms.FrequencyMasking(freq_mask_param)(aug_spec, mask_value)\n        \n    time_mask_param = max_mask_pct * n_steps\n    for _ in range(n_time_masks):\n        aug_spec = transforms.TimeMasking(time_mask_param)(aug_spec, mask_value)\n        \n    return aug_spec","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.148460Z","iopub.execute_input":"2022-04-08T17:41:51.148939Z","iopub.status.idle":"2022-04-08T17:41:51.158972Z","shell.execute_reply.started":"2022-04-08T17:41:51.148903Z","shell.execute_reply":"2022-04-08T17:41:51.158356Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def MonoToStereo(aud, num_channel=2):\n    sig, sr = aud\n    if sig.shape[0] == num_channel:\n        return aud\n    else:\n        stereo_sig = torch.cat([sig, sig])\n    \n    return (stereo_sig, sr)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.160340Z","iopub.execute_input":"2022-04-08T17:41:51.160889Z","iopub.status.idle":"2022-04-08T17:41:51.168494Z","shell.execute_reply.started":"2022-04-08T17:41:51.160851Z","shell.execute_reply":"2022-04-08T17:41:51.167737Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"t = Image.open(df_new.spec_path[100])\nplt.imshow(t)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.170259Z","iopub.execute_input":"2022-04-08T17:41:51.171934Z","iopub.status.idle":"2022-04-08T17:41:51.850433Z","shell.execute_reply.started":"2022-04-08T17:41:51.171898Z","shell.execute_reply":"2022-04-08T17:41:51.849663Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"img = cv2.imread(df_new.loc[100, 'spec_path'], cv2.IMREAD_GRAYSCALE).astype('float32')\nplt.imshow(img)\nprint (img.shape)\n\nimg = cv2.resize(img, (512,512))\nimg.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:41:51.851912Z","iopub.execute_input":"2022-04-08T17:41:51.852413Z","iopub.status.idle":"2022-04-08T17:41:52.542456Z","shell.execute_reply.started":"2022-04-08T17:41:51.852372Z","shell.execute_reply":"2022-04-08T17:41:52.541642Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\"\"\"\nthis class is udes when taking spec images instead of ogg files\n\"\"\"\n\"\"\"\nclass NumpyDataset(torch.utils.data.Dataset):\n    def __init__(self, df, is_test=False):\n        self.df,self.is_test = df,is_test\n        \n    def __getitem__(self, i):\n        #print (i)\n        img = cv2.imread(self.df.iloc[i].spec_path, cv2.IMREAD_GRAYSCALE).astype('float32')\n        #print (img.shape)\n        #img = cv2.resize(img (512,512))\n        #print (img)\n        label = self.df.iloc[i].genre_id\n        if self.is_test:\n            #tgt = 0 if i < 10 else 1\n            return (torch.tensor(img, dtype=torch.float))\n        else:\n            #tgt = self.df['target'].loc[i]\n            return (torch.tensor(img, dtype=torch.float), torch.tensor(label, dtype=torch.long))\n    \n    def __len__(self): return len(self.df)\n\"\"\"","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-04-08T17:41:52.544043Z","iopub.execute_input":"2022-04-08T17:41:52.544336Z","iopub.status.idle":"2022-04-08T17:41:52.551500Z","shell.execute_reply.started":"2022-04-08T17:41:52.544296Z","shell.execute_reply":"2022-04-08T17:41:52.550692Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Cusotm Dataset Preparation","metadata":{}},{"cell_type":"markdown","source":"![Screenshot 2022-03-24 at 10.57.32 PM.png](attachment:41d97fe0-56b9-4fe2-8054-f420be7bc6e8.png)","metadata":{},"attachments":{"41d97fe0-56b9-4fe2-8054-f420be7bc6e8.png":{"image/png":"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"}}},{"cell_type":"code","source":"class CustomDataset(Dataset):\n    def __init__(self, audio_dir, df, max_len_ms=16000, shift_limit=0.4):\n        self.train_audio_dir = audio_dir\n        self.train_df = df\n        self.max_len_ms = max_len_ms\n        self.shift_limit = shift_limit\n        \n    def __len__(self):\n        return len(self.train_df)\n\n    def __getitem__(self, index):\n        filename = self.train_df.loc[index, 'filename']\n        label = self.train_df.loc[index, 'genre_id']\n        sig, sr = self.load_audio(filename)\n    \n        if len(sig.shape) > 1:\n            audio = (sig, sr)\n\n            ##################        \n            # process signal #\n            ##################\n            # resample audio\n            audio = resample(audio, self.max_len_ms)\n\n            # mono to stereo (if mono)\n            audio = MonoToStereo(audio)\n\n            # Pad or Truncate\n            audio = pad_signal(audio, self.max_len_ms)\n\n            # Augment raw audio\n            audio = time_shift(audio, shift_limit=self.shift_limit)\n\n            # Convert to Mel Spectrogram\n            spec = mel_spec(audio)\n\n            # Augment mel spec\n            aug_spec = spectro_augment(spec)\n\n            return torch.tensor(aug_spec[:,0,:,:]/255., dtype = torch.float), torch.tensor(label, dtype = torch.long)\n\n\n    def load_audio(self, filename):\n        try:\n            sig, sr = torchaudio.load(os.path.join(self.train_audio_dir, filename))#librosa.load(os.path.join(self.train_audio_dir, filename))\n                    #return aug_spec,  torch.tensor(label)           \n        except IOError:\n            pass\n            print ('Audio file could not be opened',filename)\n        \n        #assert sr == max_len_ms\n        return sig, sr\n        \n #torch.tensor(label)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:51.97827Z","iopub.execute_input":"2022-04-06T13:57:51.978718Z","iopub.status.idle":"2022-04-06T13:57:51.99162Z","shell.execute_reply.started":"2022-04-06T13:57:51.978677Z","shell.execute_reply":"2022-04-06T13:57:51.990832Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_audio_dir = '../input/kaggle-pog-series-s01e02/train'\n\n\"\"\"\ndataset = CustomDataset(train_audio_dir, train_df, max_len_ms, shift_limit)\ntrain_size = int(0.8 * len(dataset))\nval_size = len(dataset) - train_size\ntrain_dataset, val_dataset = torch.utils.data.random_split(dataset, [train_size, val_size])\n\"\"\"","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:51.992809Z","iopub.execute_input":"2022-04-06T13:57:51.993722Z","iopub.status.idle":"2022-04-06T13:57:52.005011Z","shell.execute_reply.started":"2022-04-06T13:57:51.993685Z","shell.execute_reply":"2022-04-06T13:57:52.00414Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def prepare_loaders(df, fold):\n    df_train = df[df.kfold != fold].reset_index(drop=True)\n    df_valid = df[df.kfold == fold].reset_index(drop=True)\n    dataset = CustomDataset(train_audio_dir, df, max_len_ms, shift_limit)\n    train_size = int(0.8 * len(dataset))\n    val_size = len(dataset) - train_size\n    train_dataset, val_dataset = torch.utils.data.random_split(dataset, [train_size, val_size])\n    train_loader = DataLoader(train_dataset, batch_size=BATCH_SIZE, shuffle=True)\n    val_loader = DataLoader(val_dataset, batch_size=BATCH_SIZE, shuffle=False)\n\n    return train_loader, val_loader","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.006464Z","iopub.execute_input":"2022-04-06T13:57:52.007061Z","iopub.status.idle":"2022-04-06T13:57:52.014894Z","shell.execute_reply.started":"2022-04-06T13:57:52.007Z","shell.execute_reply":"2022-04-06T13:57:52.014078Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_loader, valid_loader = prepare_loaders(df_new, fold=0)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.015834Z","iopub.execute_input":"2022-04-06T13:57:52.016063Z","iopub.status.idle":"2022-04-06T13:57:52.035068Z","shell.execute_reply.started":"2022-04-06T13:57:52.016038Z","shell.execute_reply":"2022-04-06T13:57:52.034426Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(train_loader), len(valid_loader)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.037514Z","iopub.execute_input":"2022-04-06T13:57:52.037692Z","iopub.status.idle":"2022-04-06T13:57:52.044693Z","shell.execute_reply.started":"2022-04-06T13:57:52.037669Z","shell.execute_reply":"2022-04-06T13:57:52.043879Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Display one preprocessed audio sample ","metadata":{}},{"cell_type":"code","source":"idx = random.randint(0, len(train_df))\nfilename = train_df.loc[idx,'filename']\nsig, sr = torchaudio.load(os.path.join(train_audio_dir, filename))\naudio = (sig, sr)\n\naudio = resample(audio, max_len_ms)\n# mono to stereo (if mono)\naudio = MonoToStereo(audio)\n\n\n# Pad or Truncate\naudio = pad_signal(audio, max_len_ms)\n\n# Augment on raw audio\naudio = time_shift(audio, shift_limit=0.4)\n\n# Convert to Mel Spectrogram\nspec = mel_spec(audio)\n\n# Augment on mel spec\naug_spec = spectro_augment(spec)\naug_spec.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.046486Z","iopub.execute_input":"2022-04-06T13:57:52.047323Z","iopub.status.idle":"2022-04-06T13:57:52.350392Z","shell.execute_reply.started":"2022-04-06T13:57:52.047289Z","shell.execute_reply":"2022-04-06T13:57:52.349656Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"aug_spec.permute(2,3,0,1).shape","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.351745Z","iopub.execute_input":"2022-04-06T13:57:52.352129Z","iopub.status.idle":"2022-04-06T13:57:52.359708Z","shell.execute_reply.started":"2022-04-06T13:57:52.352092Z","shell.execute_reply":"2022-04-06T13:57:52.358771Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"aug_spec[:,0,:,:].shape","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.361299Z","iopub.execute_input":"2022-04-06T13:57:52.361623Z","iopub.status.idle":"2022-04-06T13:57:52.36761Z","shell.execute_reply.started":"2022-04-06T13:57:52.361587Z","shell.execute_reply":"2022-04-06T13:57:52.366887Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#plt.imshow(aug_spec[:,0,:,:])","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.369196Z","iopub.execute_input":"2022-04-06T13:57:52.369825Z","iopub.status.idle":"2022-04-06T13:57:52.37373Z","shell.execute_reply.started":"2022-04-06T13:57:52.369789Z","shell.execute_reply":"2022-04-06T13:57:52.373039Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"aug_spec_np = aug_spec.permute(2,3,0,1).numpy()\nf, ax = plt.subplots(figsize=(15,8))\nplt.imshow(aug_spec_np[:, :,0,0])\nplt.show()\nf, ax = plt.subplots(figsize=(15,8))\nplt.imshow(aug_spec_np[:, :, 0,0])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.375257Z","iopub.execute_input":"2022-04-06T13:57:52.375752Z","iopub.status.idle":"2022-04-06T13:57:52.808399Z","shell.execute_reply.started":"2022-04-06T13:57:52.375716Z","shell.execute_reply":"2022-04-06T13:57:52.807695Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#dataset = NumpyDataset(train_df, is_test= False)\n#train_size = int(0.8 * len(dataset))\n#val_size = len(dataset) - train_size\n#train_dataset, val_dataset = torch.utils.data.random_split(dataset, [train_size, val_size])","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.809767Z","iopub.execute_input":"2022-04-06T13:57:52.810033Z","iopub.status.idle":"2022-04-06T13:57:52.813609Z","shell.execute_reply.started":"2022-04-06T13:57:52.809999Z","shell.execute_reply":"2022-04-06T13:57:52.812793Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"image_batch, label_batch = iter(train_loader).next()\nplt.figure(figsize=(15, 8))\n#print (image_batch.shape)\n#print (label_batch.shape)\nfor i in range(8):\n\n#for i, data in enumerate(train_loader):\n    #image_batch , label_batch = data\n    ax = plt.subplot(4, 2, i + 1)\n    #plt.imshow(image_batch[i].numpy().astype(\"uint8\"))\n    \n\n    image=image_batch[i][0,:,:].numpy()\n    plt.imshow(image)\n    label = label_batch[i].numpy()\n    plt.title(label)\n    plt.axis(\"off\")\n    \n    \nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:52.815622Z","iopub.execute_input":"2022-04-06T13:57:52.815815Z","iopub.status.idle":"2022-04-06T13:57:57.091556Z","shell.execute_reply.started":"2022-04-06T13:57:52.815791Z","shell.execute_reply":"2022-04-06T13:57:57.090937Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# TRAINING","metadata":{}},{"cell_type":"markdown","source":"![Screenshot 2022-03-24 at 11.25.22 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"}}},{"cell_type":"markdown","source":"# Auto Encoder","metadata":{}},{"cell_type":"code","source":"#https://www.youtube.com/watch?v=zp8clK9yCro&t=1321s\n'''\nclass Autoencoder(nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.encoder = nn.Sequential(\n                        nn.Conv2d(2, 16, 3, stride = 2,padding = 1),\n                        nn.ReLU(),\n                        nn.Conv2d(16, 32, 3, stride = 2,padding = 1),\n                        nn.ReLU(),\n                        nn.Conv2d(32, 64, 7)\n                        )\n        self.decoder = nn.Sequential(\n                        nn.ConvTranspose2d(64, 32, 7),\n                        nn.ReLU(),\n                        nn.ConvTranspose2d(32, 16, 3, stride = 2, padding = 1, output_padding = 1),\n                        nn.ReLU(),\n                        nn.ConvTranspose2d(16, 2, 3, stride = 2, padding = 1, output_padding = 1),\n                        nn.Softmax()\n                        )\n                        \n    def forward(self, x):\n        encoded = self.encoder(x)\n        decoded = self.decoder(encoded)\n        return decoded\n'''","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:57.092731Z","iopub.execute_input":"2022-04-06T13:57:57.093104Z","iopub.status.idle":"2022-04-06T13:57:57.100232Z","shell.execute_reply.started":"2022-04-06T13:57:57.09307Z","shell.execute_reply":"2022-04-06T13:57:57.099584Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pretrainedmodels.model_names","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:57.101358Z","iopub.execute_input":"2022-04-06T13:57:57.102088Z","iopub.status.idle":"2022-04-06T13:57:57.11075Z","shell.execute_reply.started":"2022-04-06T13:57:57.102054Z","shell.execute_reply":"2022-04-06T13:57:57.109979Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\nclass Resnet18(nn.Module):\n    def __init__(self, pretrained, num_classes):\n        super(Resnet18, self).__init__()\n        if pretrained is True:\n            self.model = pretrainedmodels.__dict__[\"resnet18\"](pretrained=\"imagenet\")\n        else:\n            #self.model = pretrainedmodels.__dict__[\"resnext101_32x4d\"](pretrained=None)\n            self.model = pretrainedmodels.__dict__[\"resnet18\"](pretrained=None)\n        \n        #resnext101_32x4d - 2048\n        #resnet18 - 1080\n        #inceptionresnetv2 - 1536\n        #densenet121 - 1024\n        self.l0 = nn.Linear(512, num_classes)\n        \n    def forward(self, x):\n        #print (x.shape)\n        bs, _, _, _ = x.shape\n        x = self.model.features(x)\n        x = F.adaptive_avg_pool2d(x, 1).reshape(bs, -1)\n        x = self.l0(x)\n        \n        return x","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:03.990217Z","iopub.execute_input":"2022-04-08T17:42:03.990494Z","iopub.status.idle":"2022-04-08T17:42:03.997930Z","shell.execute_reply.started":"2022-04-08T17:42:03.990463Z","shell.execute_reply":"2022-04-08T17:42:03.996993Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class AverageMeter(object):\n    \"\"\"Computes and stores the average and current values\"\"\"\n    def __init__(self):\n        self.reset()\n    \n    def __init__(self):\n        self.val = 0\n        self.avg = 0\n        self.sum = 0\n        self.count = 0\n\n    def update(self, val, n=1):\n        self.val = val\n        self.sum += val * n\n        self.count += n\n        self.avg = self.sum / self.count\n\ndef get_position_accuracy(logits, labels):\n    predictions = np.argmax(F.softmax(logits, dim=1).cpu().data.numpy(), axis=1)\n    labels = labels.cpu().data.numpy()\n    total_num = 0\n    sum_correct = 0\n    for i in range(len(labels)):\n        if labels[i] >= 0:\n            total_num += 1\n            if predictions[i] == labels[i]:\n                sum_correct += 1\n    if total_num == 0:\n        total_num = 1e-7\n    return np.float32(sum_correct) / total_num, total_num","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:57:57.123899Z","iopub.execute_input":"2022-04-06T13:57:57.124597Z","iopub.status.idle":"2022-04-06T13:57:57.13678Z","shell.execute_reply.started":"2022-04-06T13:57:57.124553Z","shell.execute_reply":"2022-04-06T13:57:57.135865Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model =Resnet18(pretrained=False, num_classes = 19)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:08.933583Z","iopub.execute_input":"2022-04-08T17:42:08.934124Z","iopub.status.idle":"2022-04-08T17:42:09.119781Z","shell.execute_reply.started":"2022-04-08T17:42:08.934087Z","shell.execute_reply":"2022-04-08T17:42:09.119058Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#model = Autoencoder()\n#creterian = nn.MSELoss()\noptimizer = torch.optim.Adam(model.parameters(),lr = 0.001)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:11.616442Z","iopub.execute_input":"2022-04-08T17:42:11.617219Z","iopub.status.idle":"2022-04-08T17:42:11.621653Z","shell.execute_reply.started":"2022-04-08T17:42:11.617175Z","shell.execute_reply":"2022-04-08T17:42:11.620976Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\nmodel = model.to(device)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:13.176547Z","iopub.execute_input":"2022-04-08T17:42:13.177077Z","iopub.status.idle":"2022-04-08T17:42:16.144299Z","shell.execute_reply.started":"2022-04-08T17:42:13.177041Z","shell.execute_reply":"2022-04-08T17:42:16.143552Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def loss_fn(preds, labels):\n    loss = nn.CrossEntropyLoss(ignore_index=-1)(preds, labels)\n    return loss","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:17.047720Z","iopub.execute_input":"2022-04-08T17:42:17.048045Z","iopub.status.idle":"2022-04-08T17:42:17.056637Z","shell.execute_reply.started":"2022-04-08T17:42:17.048010Z","shell.execute_reply":"2022-04-08T17:42:17.055909Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.load_state_dict(torch.load('../input/pogchamp-torch-weights/pogchamp_resnet18_epoch_0.bin'))","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.022329Z","iopub.execute_input":"2022-04-06T13:58:00.023041Z","iopub.status.idle":"2022-04-06T13:58:00.654677Z","shell.execute_reply.started":"2022-04-06T13:58:00.023002Z","shell.execute_reply":"2022-04-06T13:58:00.653983Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# ----------------------------\n# Training Loop\n# ----------------------------\ndef training_batch(model, train_dl, epoch, criterion, optimizer):\n  # Loss Function, Optimizer and Scheduler\n    model.train()\n    \"\"\"\n    criterion = nn.CrossEntropyLoss()\n    optimizer = torch.optim.Adam(model.parameters(),lr=0.001)\n    \"\"\"\n    scheduler = torch.optim.lr_scheduler.OneCycleLR(optimizer, max_lr=0.001,\n                                                steps_per_epoch=int(len(train_dl)),\n                                                epochs=num_epochs,\n                                                anneal_strategy='linear')\n\n    running_loss = 0.0\n    correct_prediction = 0\n    total_prediction = 0\n   \n    # Repeat for each batch in the training set\n    for  data in tqdm(train_dl):\n        # Get the input features and target labels, and put them on the GPU\n        inputs, labels = data[0].to(device), data[1].to(device)\n\n        # Normalize the inputs\n        inputs_m, inputs_s = inputs.mean(), inputs.std()\n        inputs = (inputs - inputs_m) / inputs_s\n\n        # Zero the parameter gradients\n        optimizer.zero_grad()\n\n        # forward + backward + optimize\n        outputs = model(inputs)\n        loss = criterion(outputs, labels)\n        loss.backward()\n        optimizer.step()\n        scheduler.step()\n\n        # Keep stats for Loss and Accuracy\n        running_loss += loss.item()\n\n        # Get the predicted class with the highest score\n        _, prediction = torch.max(outputs,1)\n        # Count of predictions that matched the target label\n        correct_prediction += (prediction == labels).sum().item()\n        total_prediction += prediction.shape[0]\n\n        #if i % 10 == 0:    # print every 10 mini-batches\n        #    print('[%d, %5d] loss: %.3f' % (epoch + 1, i + 1, running_loss / 10))\n    \n    # Print stats at the end of the epoch\n    num_batches = len(train_dl)\n    avg_loss = running_loss / num_batches\n    acc = correct_prediction/total_prediction\n    print(f'Epoch: {epoch}, Loss: {avg_loss:.2f}, Training Accuracy: {acc:.2f}')\n\n    print(f'Finished Training for fold {fold}')\n  \n    return avg_loss, acc","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.656162Z","iopub.execute_input":"2022-04-06T13:58:00.656781Z","iopub.status.idle":"2022-04-06T13:58:00.667211Z","shell.execute_reply.started":"2022-04-06T13:58:00.656744Z","shell.execute_reply":"2022-04-06T13:58:00.666597Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# ----------------------------\n# validation\n# ----------------------------\ndef val_batch (model, val_dl, epoch, criterion, optimizer):\n    scheduler = torch.optim.lr_scheduler.OneCycleLR(optimizer, max_lr=0.001,\n                                            steps_per_epoch=int(len(val_dl)),\n                                            epochs=num_epochs,\n                                            anneal_strategy='linear')\n    model.eval()\n\n    correct_prediction = 0\n    total_prediction = 0\n    running_loss = 0.0\n    PREDS = []\n    LABELS = []\n        \n        # Disable gradient updates\n    #with torch.no_grad():\n    for data in tqdm(val_dl):\n        # Get the input features and target labels, and put them on the GPU\n        inputs, labels = data[0].to(device), data[1].to(device)\n\n        # Normalize the inputs\n        inputs_m, inputs_s = inputs.mean(), inputs.std()\n        inputs = (inputs - inputs_m) / inputs_s\n\n        # Get predictions\n        outputs = model(inputs)\n\n        # Get the predicted class with the highest score\n        _, prediction = torch.max(outputs,1)\n\n        loss = criterion(outputs, labels)\n        running_loss += loss.item() \n\n        PREDS.append(prediction.view(-1).cpu().detach().numpy())\n        #LABELS.append(label.view(-1).cpu().detach().numpy())\n        LABELS.append(labels.view(-1).cpu().detach().numpy())\n        #print(PREDS, LABELS)\n\n        # Count of predictions that matched the target label\n        correct_prediction += (prediction == labels).sum().item()\n        total_prediction += prediction.shape[0]\n\n    PREDS = np.concatenate(PREDS)\n    LABELS = np.concatenate(LABELS)\n    num_batches = len(val_dl)\n    avg_loss = running_loss / num_batches\n    val_f1 = f1_score(LABELS, PREDS, average='macro')\n    acc = correct_prediction/total_prediction\n    print(f'Running for epoch {epoch} , Validation Accuracy: {acc:.2f}, Total items: {total_prediction} ')\n    print (f'Finished validation for fold{fold}')\n\n    return avg_loss, acc, val_f1","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.668385Z","iopub.execute_input":"2022-04-06T13:58:00.668989Z","iopub.status.idle":"2022-04-06T13:58:00.681659Z","shell.execute_reply.started":"2022-04-06T13:58:00.668953Z","shell.execute_reply":"2022-04-06T13:58:00.680953Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#torch.save(model.state_dict(), './pogchamp_resnet18_epoch_0.bin')","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.682965Z","iopub.execute_input":"2022-04-06T13:58:00.683277Z","iopub.status.idle":"2022-04-06T13:58:00.692899Z","shell.execute_reply.started":"2022-04-06T13:58:00.683244Z","shell.execute_reply":"2022-04-06T13:58:00.692139Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\"\"\"\nnum_epochs = 2\noutputs = []\nfor epoch in range(num_epochs):\n    for spect,label in tqdm(train_loader):\n        #img = img.unsqueeze(1)\n        spect = spect[:,:,:].to(device)\n        label = label.to(device)\n        #print (spect.unsqueeze_(0).shape)\n        pred = model(spect)\n        \n        loss = loss_fn(pred, label)\n        optimizer.zero_grad()\n        loss.backward()\n        optimizer.step()\n    print (f'epoch {epoch} loss {loss.item():4f}')\n    outputs.append(epoch, spect,pred, loss )\n\"\"\" ","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.695598Z","iopub.execute_input":"2022-04-06T13:58:00.696248Z","iopub.status.idle":"2022-04-06T13:58:00.705318Z","shell.execute_reply.started":"2022-04-06T13:58:00.696213Z","shell.execute_reply":"2022-04-06T13:58:00.704494Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#torchaudio.__version__\n","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.706178Z","iopub.execute_input":"2022-04-06T13:58:00.707888Z","iopub.status.idle":"2022-04-06T13:58:00.713652Z","shell.execute_reply.started":"2022-04-06T13:58:00.707855Z","shell.execute_reply":"2022-04-06T13:58:00.7129Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Train with N fold","metadata":{}},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"code","source":"#train_loader, valid_loader = prepare_loaders(df_new, fold=0)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.715051Z","iopub.execute_input":"2022-04-06T13:58:00.715545Z","iopub.status.idle":"2022-04-06T13:58:00.720646Z","shell.execute_reply.started":"2022-04-06T13:58:00.715507Z","shell.execute_reply":"2022-04-06T13:58:00.719962Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#training_batch(model, train_loader, epoch, criterion, optimizer)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.722093Z","iopub.execute_input":"2022-04-06T13:58:00.722451Z","iopub.status.idle":"2022-04-06T13:58:00.728935Z","shell.execute_reply.started":"2022-04-06T13:58:00.722415Z","shell.execute_reply":"2022-04-06T13:58:00.728174Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#val_batch(model, valid_loader,num_epochs, criterion, optimizer)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.730379Z","iopub.execute_input":"2022-04-06T13:58:00.730942Z","iopub.status.idle":"2022-04-06T13:58:00.737006Z","shell.execute_reply.started":"2022-04-06T13:58:00.730879Z","shell.execute_reply":"2022-04-06T13:58:00.7362Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\ncriterion = nn.CrossEntropyLoss()\noptimizer = torch.optim.Adam(model.parameters(),lr=0.001)\n","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.738045Z","iopub.execute_input":"2022-04-06T13:58:00.738398Z","iopub.status.idle":"2022-04-06T13:58:00.745889Z","shell.execute_reply.started":"2022-04-06T13:58:00.738364Z","shell.execute_reply":"2022-04-06T13:58:00.745226Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#for i in range(N_fold):\ndef run_training(df,model, device, fold):\n    history = defaultdict(list)\n    best_f1_score = 0\n    best_model_wts = copy.deepcopy(model.state_dict())\n    for epoch in range(1, num_epochs + 1): \n        print (f'epoch {epoch} of fold {fold} ......')\n        df_train = df[df.kfold != fold].reset_index(drop=True)\n        df_valid = df[df.kfold == fold].reset_index(drop=True)\n        train_dataset = CustomDataset(train_audio_dir, df_train, max_len_ms, shift_limit)\n        val_dataset = CustomDataset(train_audio_dir, df_valid, max_len_ms, shift_limit)\n\n        train_loader = DataLoader(train_dataset, batch_size=BATCH_SIZE, shuffle=True)\n        val_loader = DataLoader(val_dataset, batch_size=BATCH_SIZE, shuffle=False)\n        # Run training\n        train_loss, train_acc =training_batch(model, train_loader, epoch, criterion, optimizer)\n        # Run inference on trained model with the validation set\n        val_loss, val_acc, val_f1_score = val_batch(model, valid_loader,epoch, criterion, optimizer)\n        history['Train Loss'].append(train_loss)\n        history['Valid Loss'].append(val_loss)\n        history['Valid F1'].append(val_f1_score)\n\n        if val_f1_score >= best_f1_score:\n            print(f\"Validation F1 Improved ({best_f1_score} ---> {val_f1_score})\")\n            best_f1_score = val_f1_score\n            #run.summary[\"Best F1 Score\"] = best_f1_score\n            best_model_wts = copy.deepcopy(model.state_dict())\n            PATH = \"resnet18_F1{:.4f}_epoch{:.0f}_fold{:.0f}.bin\".format(best_f1_score, epoch, fold)\n            torch.save(model.state_dict(), PATH)\n            # Save a model file from the current directory\n            print(f\"Model Saved....{PATH}\")\n\n         # load best model weights\n        model.load_state_dict(best_model_wts)\n\n    return model, history","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.748168Z","iopub.execute_input":"2022-04-06T13:58:00.749067Z","iopub.status.idle":"2022-04-06T13:58:00.760069Z","shell.execute_reply.started":"2022-04-06T13:58:00.748987Z","shell.execute_reply":"2022-04-06T13:58:00.759284Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"gc.collect()","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:00.762691Z","iopub.execute_input":"2022-04-06T13:58:00.763432Z","iopub.status.idle":"2022-04-06T13:58:00.954638Z","shell.execute_reply.started":"2022-04-06T13:58:00.763396Z","shell.execute_reply":"2022-04-06T13:58:00.953885Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#df_new = df_new.sample(frac = 0.1)\n#df_new.shape\n#num_epochs = 2\n#for fold in range(N_fold):\nmodel, history = run_training(df_new,model, device, 2)\n","metadata":{"execution":{"iopub.status.busy":"2022-04-06T13:58:46.202047Z","iopub.execute_input":"2022-04-06T13:58:46.202312Z","iopub.status.idle":"2022-04-06T17:27:06.096133Z","shell.execute_reply.started":"2022-04-06T13:58:46.202283Z","shell.execute_reply":"2022-04-06T17:27:06.095219Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Inference on Test","metadata":{}},{"cell_type":"code","source":"test_audio_files = pd.DataFrame(os.listdir(base_dir +'/test'), columns={'filename'})\ndf_test = test_df.merge(test_audio_files,how = 'inner' , left_on='filename', right_on='filename') \ndf_test.shape\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:43.858613Z","iopub.execute_input":"2022-04-08T17:42:43.858889Z","iopub.status.idle":"2022-04-08T17:42:43.877320Z","shell.execute_reply.started":"2022-04-08T17:42:43.858859Z","shell.execute_reply":"2022-04-08T17:42:43.876672Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"gc.collect()","metadata":{"execution":{"iopub.status.busy":"2022-04-06T17:28:35.244134Z","iopub.execute_input":"2022-04-06T17:28:35.244382Z","iopub.status.idle":"2022-04-06T17:28:35.440009Z","shell.execute_reply.started":"2022-04-06T17:28:35.244353Z","shell.execute_reply":"2022-04-06T17:28:35.439152Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(sub_df), len(test_audio_files), len(test_df)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T17:28:38.551815Z","iopub.execute_input":"2022-04-06T17:28:38.552353Z","iopub.status.idle":"2022-04-06T17:28:38.559748Z","shell.execute_reply.started":"2022-04-06T17:28:38.552314Z","shell.execute_reply":"2022-04-06T17:28:38.558855Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_audio_dir = '../input/kaggle-pog-series-s01e02/test'","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:49.764748Z","iopub.execute_input":"2022-04-08T17:42:49.765356Z","iopub.status.idle":"2022-04-08T17:42:49.769297Z","shell.execute_reply.started":"2022-04-08T17:42:49.765323Z","shell.execute_reply":"2022-04-08T17:42:49.768515Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class CustomTestDataset(Dataset):\n    def __init__(self, audio_dir, df, max_len_ms=16000, shift_limit=0.4):\n        self.test_audio_dir = audio_dir\n        self.test_df = df\n        self.max_len_ms = max_len_ms\n        self.shift_limit = shift_limit\n        \n    def __len__(self):\n        return len(self.test_df)\n\n    def __getitem__(self, index):\n        filename = self.test_df.loc[index, 'filename']\n        label = self.test_df.loc[index, 'song_id']\n        sig, sr = self.load_audio(filename)\n    \n        if len(sig.shape) > 1:\n            audio = (sig, sr)\n\n            ##################        \n            # process signal #\n            ##################\n            # resample audio\n            audio = resample(audio, self.max_len_ms)\n\n            # mono to stereo (if mono)\n            audio = MonoToStereo(audio)\n\n            # Pad or Truncate\n            audio = pad_signal(audio, self.max_len_ms)\n\n            # Augment raw audio\n            audio = time_shift(audio, shift_limit=self.shift_limit)\n\n            # Convert to Mel Spectrogram\n            spec = mel_spec(audio)\n\n            # Augment mel spec\n            aug_spec = spectro_augment(spec)\n\n            return torch.tensor(aug_spec[:,0,:,:]/255., dtype = torch.float), torch.tensor(label, dtype = torch.long)\n\n\n    def load_audio(self, filename):\n        try:\n            sig, sr = torchaudio.load(os.path.join(self.test_audio_dir, filename))\n        except IOError:\n            pass\n            print ('Audio file could not be opened',filename)\n        \n        #assert sr == max_len_ms\n        return sig, sr\n        ","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:51.507306Z","iopub.execute_input":"2022-04-08T17:42:51.507563Z","iopub.status.idle":"2022-04-08T17:42:51.520261Z","shell.execute_reply.started":"2022-04-08T17:42:51.507534Z","shell.execute_reply":"2022-04-08T17:42:51.518893Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_dataset = CustomTestDataset(test_audio_dir, df_test, max_len_ms, shift_limit)\ntest_loader = DataLoader(test_dataset, batch_size=BATCH_SIZE, shuffle=False)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:42:56.107508Z","iopub.execute_input":"2022-04-08T17:42:56.107766Z","iopub.status.idle":"2022-04-08T17:42:56.112967Z","shell.execute_reply.started":"2022-04-08T17:42:56.107734Z","shell.execute_reply":"2022-04-08T17:42:56.111996Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Test images","metadata":{}},{"cell_type":"code","source":"image_batch, label_batch = iter(test_loader).next()\nplt.figure(figsize=(15, 8))\n#print (image_batch.shape)\n#print (label_batch.shape)\nfor i in range(8):\n\n#for i, data in enumerate(train_loader):\n    #image_batch , label_batch = data\n    ax = plt.subplot(4, 2, i + 1)\n    #plt.imshow(image_batch[i].numpy().astype(\"uint8\"))\n    \n\n    image=image_batch[i][0,:,:].numpy()\n    plt.imshow(image)\n    label = label_batch[i].numpy()\n    plt.title(label)\n    plt.axis(\"off\")\n    \n    \nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:43:00.088036Z","iopub.execute_input":"2022-04-08T17:43:00.088576Z","iopub.status.idle":"2022-04-08T17:43:04.608326Z","shell.execute_reply.started":"2022-04-08T17:43:00.088538Z","shell.execute_reply":"2022-04-08T17:43:04.607693Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def test_inference (model, dl):\n  correct_prediction = 0\n  total_prediction = 0\n  PREDS = []\n  #LABELS = []\n\n  # Disable gradient updates\n  with torch.no_grad():\n    for data in tqdm(dl):\n      # Get the input features and target labels, and put them on the GPU\n      inputs = data[0].to(device)\n\n      # Normalize the inputs\n      inputs_m, inputs_s = inputs.mean(), inputs.std()\n      inputs = (inputs - inputs_m) / inputs_s\n\n      # Get predictions\n      outputs = model(inputs)\n\n      # Get the predicted class with the highest score\n      _, prediction = torch.max(outputs,1)\n      PREDS.append(prediction.view(-1).cpu().detach().numpy())\n      #LABELS.append(label.view(-1).cpu().detach().numpy())\n      #LABELS.append(labels.view(-1).cpu().detach().numpy())\n      #print(PREDS, LABELS)\n\n      \n  PREDS = np.concatenate(PREDS)\n  #LABELS = np.concatenate(LABELS)\n  \n  #preds_df = pd.DataFrame({'song_id':LABELS, 'genre_id':PREDS})\n  return (PREDS)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:43:09.392701Z","iopub.execute_input":"2022-04-08T17:43:09.393592Z","iopub.status.idle":"2022-04-08T17:43:09.401175Z","shell.execute_reply.started":"2022-04-08T17:43:09.393541Z","shell.execute_reply":"2022-04-08T17:43:09.400358Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#model = ResNet18(pretrained=False, num_classes = 19)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"weights_dir = '../input/pogchamp-torch-weights/pogchamp_weights/'","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:44:56.837659Z","iopub.execute_input":"2022-04-08T17:44:56.838355Z","iopub.status.idle":"2022-04-08T17:44:56.841995Z","shell.execute_reply.started":"2022-04-08T17:44:56.838316Z","shell.execute_reply":"2022-04-08T17:44:56.841271Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"all_test_preds = []\nfor i, file in enumerate(os.listdir(weights_dir)):\n    if file.endswith(\".bin\") :\n    #if file == 'resnet18_F10.2887_epoch2_fold2.bin':\n        model.to(device)\n        model.load_state_dict(torch.load(file))\n        print (f'Predicting test set using weight ....  {file}')\n        preds = test_inference(model, test_loader)\n        all_test_preds.append(preds)       ","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:44:59.137368Z","iopub.execute_input":"2022-04-08T17:44:59.138060Z","iopub.status.idle":"2022-04-08T17:44:59.148419Z","shell.execute_reply.started":"2022-04-08T17:44:59.138012Z","shell.execute_reply":"2022-04-08T17:44:59.147785Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.load_state_dict(torch.load('../input/pogchamp-torch-weights/resnet18_F10.2887_epoch2_fold2.bin'))\npreds = test_inference(model, test_loader)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:46:36.111580Z","iopub.execute_input":"2022-04-08T17:46:36.111889Z","iopub.status.idle":"2022-04-08T17:58:16.098604Z","shell.execute_reply.started":"2022-04-08T17:46:36.111853Z","shell.execute_reply":"2022-04-08T17:58:16.097883Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"preds\n","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:19.773376Z","iopub.execute_input":"2022-04-08T17:58:19.773838Z","iopub.status.idle":"2022-04-08T17:58:19.780348Z","shell.execute_reply.started":"2022-04-08T17:58:19.773783Z","shell.execute_reply":"2022-04-08T17:58:19.779612Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_test['genre_id'] = preds","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:23.503378Z","iopub.execute_input":"2022-04-08T17:58:23.503963Z","iopub.status.idle":"2022-04-08T17:58:23.509742Z","shell.execute_reply.started":"2022-04-08T17:58:23.503925Z","shell.execute_reply":"2022-04-08T17:58:23.508940Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"all_test_preds1 = all_test_preds\n","metadata":{"execution":{"iopub.status.busy":"2022-04-06T18:11:44.202784Z","iopub.execute_input":"2022-04-06T18:11:44.203331Z","iopub.status.idle":"2022-04-06T18:11:44.208336Z","shell.execute_reply.started":"2022-04-06T18:11:44.203292Z","shell.execute_reply":"2022-04-06T18:11:44.206268Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"x = pd.DataFrame(all_test_preds1)\nx","metadata":{"execution":{"iopub.status.busy":"2022-04-06T18:11:48.903169Z","iopub.execute_input":"2022-04-06T18:11:48.90342Z","iopub.status.idle":"2022-04-06T18:11:49.095643Z","shell.execute_reply.started":"2022-04-06T18:11:48.903392Z","shell.execute_reply":"2022-04-06T18:11:49.094969Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#y = x.mode(x, axis = 0)\n#y","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"x.to_csv('x.csv', index = False)","metadata":{"execution":{"iopub.status.busy":"2022-04-06T18:11:58.013062Z","iopub.execute_input":"2022-04-06T18:11:58.013657Z","iopub.status.idle":"2022-04-06T18:11:58.041984Z","shell.execute_reply.started":"2022-04-06T18:11:58.01362Z","shell.execute_reply":"2022-04-06T18:11:58.041299Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#all_test_preds_copy = all_test_preds","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#all_test_preds1 = np.mean(all_test_preds, axis = 0)\n#all_test_preds1","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#find mode to find the most occurance of predictions columnwise\nimport scipy.stats as ss\n# note here we transpose the predictions\nx = x.T\ny= ss.mode(x, axis = 1)\ny[0].flatten()\n\n","metadata":{"execution":{"iopub.status.busy":"2022-04-06T18:12:12.66294Z","iopub.execute_input":"2022-04-06T18:12:12.663387Z","iopub.status.idle":"2022-04-06T18:12:12.816239Z","shell.execute_reply.started":"2022-04-06T18:12:12.663349Z","shell.execute_reply":"2022-04-06T18:12:12.815423Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#preds = preds.astype(int)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_test['genre_id'] = y[0]","metadata":{"execution":{"iopub.status.busy":"2022-04-06T18:12:17.576337Z","iopub.execute_input":"2022-04-06T18:12:17.57659Z","iopub.status.idle":"2022-04-06T18:12:17.582064Z","shell.execute_reply.started":"2022-04-06T18:12:17.576561Z","shell.execute_reply":"2022-04-06T18:12:17.581244Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#df_test","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub_df = pd.read_csv('../input/kaggle-pog-series-s01e02/sample_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:29.878092Z","iopub.execute_input":"2022-04-08T17:58:29.878347Z","iopub.status.idle":"2022-04-08T17:58:29.887278Z","shell.execute_reply.started":"2022-04-08T17:58:29.878319Z","shell.execute_reply":"2022-04-08T17:58:29.886367Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_test = df_test[['song_id','genre_id']]\nsub_df = df_test.merge(sub_df[['song_id']],how = 'right' , on='song_id') ","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:31.621747Z","iopub.execute_input":"2022-04-08T17:58:31.622316Z","iopub.status.idle":"2022-04-08T17:58:31.637075Z","shell.execute_reply.started":"2022-04-08T17:58:31.622281Z","shell.execute_reply":"2022-04-08T17:58:31.636302Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#df_test.info()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#sub_df = preds.merge(sub_df[['song_id']],how = 'right' , on='song_id') ","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub_df.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:34.767710Z","iopub.execute_input":"2022-04-08T17:58:34.768379Z","iopub.status.idle":"2022-04-08T17:58:34.773552Z","shell.execute_reply.started":"2022-04-08T17:58:34.768342Z","shell.execute_reply":"2022-04-08T17:58:34.772745Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub_df['genre_id'] = sub_df['genre_id'].fillna(0)\nsub_df['genre_id'] = sub_df['genre_id'].astype(np.int)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:37.706900Z","iopub.execute_input":"2022-04-08T17:58:37.707328Z","iopub.status.idle":"2022-04-08T17:58:37.714596Z","shell.execute_reply.started":"2022-04-08T17:58:37.707285Z","shell.execute_reply":"2022-04-08T17:58:37.713292Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub_df.info()","metadata":{"execution":{"iopub.status.busy":"2022-04-06T18:12:28.311848Z","iopub.execute_input":"2022-04-06T18:12:28.312411Z","iopub.status.idle":"2022-04-06T18:12:28.328366Z","shell.execute_reply.started":"2022-04-06T18:12:28.312373Z","shell.execute_reply":"2022-04-06T18:12:28.327652Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub_df.head()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#sub_df.drop(['genre_id_x','filename','filepath','spec_path'], axis = 1)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#sub_df ['genre_id'] = sub_df['genre_id'].astype(np.int64,errors='ignore')","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub_df.to_csv('submission.csv', index = False)","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:44.626169Z","iopub.execute_input":"2022-04-08T17:58:44.626736Z","iopub.status.idle":"2022-04-08T17:58:44.642416Z","shell.execute_reply.started":"2022-04-08T17:58:44.626697Z","shell.execute_reply":"2022-04-08T17:58:44.641719Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!head submission.csv","metadata":{"execution":{"iopub.status.busy":"2022-04-08T17:58:46.484523Z","iopub.execute_input":"2022-04-08T17:58:46.485055Z","iopub.status.idle":"2022-04-08T17:58:47.262413Z","shell.execute_reply.started":"2022-04-08T17:58:46.485015Z","shell.execute_reply":"2022-04-08T17:58:47.261551Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"markdown","source":"","metadata":{}}]}