{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"laugh-detector-dry-run-preprocess.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true,"machine_shape":"hm","mount_file_id":"1gU8fQ8_iFZTj9yRKKIwIGwtZawuoZsjg","authorship_tag":"ABX9TyPCwtZJidc/6CeWWklLHe5Y"},"kernelspec":{"name":"python3","display_name":"Python 3"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","metadata":{"id":"cHUb6OLULEr9","colab_type":"text"},"source":["## Dependencies"]},{"cell_type":"code","metadata":{"id":"W1hgA7JPJ-VN","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":104},"executionInfo":{"status":"ok","timestamp":1592958421076,"user_tz":240,"elapsed":5609,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"b723d286-149a-4868-9361-646e517d6835"},"source":["!git clone https://github.com/jrgillick/laughter-detection.git"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Cloning into 'laughter-detection'...\n","remote: Enumerating objects: 249, done.\u001b[K\n","remote: Total 249 (delta 0), reused 0 (delta 0), pack-reused 249\u001b[K\n","Receiving objects: 100% (249/249), 58.33 MiB | 29.75 MiB/s, done.\n","Resolving deltas: 100% (122/122), done.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"qp40NIXWM-QT","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":488},"executionInfo":{"status":"ok","timestamp":1592958425426,"user_tz":240,"elapsed":8729,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"c61f7097-c3d4-431c-f1b9-93171ee8af18"},"source":["!cd laughter-detection ; pip install -r requirements.txt"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Requirement already satisfied: librosa in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 1)) (0.6.3)\n","Requirement already satisfied: keras in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 2)) (2.3.1)\n","Collecting tgt\n","  Downloading https://files.pythonhosted.org/packages/51/9a/25d82ed43c926e0234c8705e374323d7f9bfe0b311019fe3b1e2e445fbb6/tgt-1.4.4.tar.gz\n","Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (4.4.2)\n","Requirement already satisfied: resampy>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (0.2.2)\n","Requirement already satisfied: numpy>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (1.18.5)\n","Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (2.1.8)\n","Requirement already satisfied: numba>=0.38.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (0.48.0)\n","Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (0.22.2.post1)\n","Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (0.15.1)\n","Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (1.4.1)\n","Requirement already satisfied: six>=1.3 in /usr/local/lib/python3.6/dist-packages (from librosa->-r requirements.txt (line 1)) (1.12.0)\n","Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras->-r requirements.txt (line 2)) (2.10.0)\n","Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from keras->-r requirements.txt (line 2)) (1.0.8)\n","Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from keras->-r requirements.txt (line 2)) (1.1.2)\n","Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/dist-packages (from keras->-r requirements.txt (line 2)) (3.13)\n","Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa->-r requirements.txt (line 1)) (47.3.1)\n","Requirement already satisfied: llvmlite<0.32.0,>=0.31.0dev0 in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa->-r requirements.txt (line 1)) (0.31.0)\n","Building wheels for collected packages: tgt\n","  Building wheel for tgt (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for tgt: filename=tgt-1.4.4-cp36-none-any.whl size=28930 sha256=ce7014a936a735babe712586839af2b74e12b6aaecd1e2c633a11fda603796fa\n","  Stored in directory: /root/.cache/pip/wheels/d0/01/c2/7b18446d6ce6b1ced14c50044844180f89a51b960d0799802d\n","Successfully built tgt\n","Installing collected packages: tgt\n","Successfully installed tgt-1.4.4\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"P0WxutaNMCfC","colab_type":"code","colab":{}},"source":["from moviepy.editor import * \n","from IPython.display import Audio\n","import numpy as np\n","import librosa\n","import glob\n","import os\n","from tqdm import tqdm\n","from natsort import natsorted\n","import pickle\n","from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"4bUv9LRpLBo2","colab_type":"text"},"source":["## Get the Data\n"]},{"cell_type":"markdown","metadata":{"id":"HxrQTh4rNtdi","colab_type":"text"},"source":["The val tiny data"]},{"cell_type":"code","metadata":{"id":"emulVOg4J0Mo","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":208},"executionInfo":{"status":"ok","timestamp":1592958337601,"user_tz":240,"elapsed":51139,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"589ecd56-5b46-4187-e2d0-9b7670108621"},"source":["!wget 'https://storage.googleapis.com/cs231n-emotiw/data/train-full.zip'\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["--2020-06-24 00:24:47--  https://storage.googleapis.com/cs231n-emotiw/data/train-full.zip\n","Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.197.128, 2607:f8b0:400e:c08::80\n","Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.197.128|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 2732428104 (2.5G) [application/zip]\n","Saving to: ‘train-full.zip’\n","\n","train-full.zip      100%[===================>]   2.54G  57.0MB/s    in 49s     \n","\n","2020-06-24 00:25:37 (52.7 MB/s) - ‘train-full.zip’ saved [2732428104/2732428104]\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"OLBd4EzfLR6u","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1592958393667,"user_tz":240,"elapsed":55876,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"e8053c85-e404-427e-ffeb-1f98013fe2be"},"source":["!unzip -d  train-full train-full.zip"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Archive:  train-full.zip\n","   creating: train-full/Train/\n","  inflating: train-full/Train/2_2.mp4  \n","  inflating: train-full/Train/3_4.mp4  \n","  inflating: 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       \n","  inflating: Test/Test_99.mp4        \n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"zdTJvyJJLmhx","colab_type":"text"},"source":["### Extract Audio "]},{"cell_type":"code","metadata":{"id":"VJMvUYgGLkN2","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":69},"executionInfo":{"status":"ok","timestamp":1592855085724,"user_tz":240,"elapsed":331,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"1eaa5a3f-4433-4cc3-de1d-bf456a4caf74"},"source":["video = VideoFileClip('/content/Test/Test_30.mp4') # 2.\n","audio = video.audio # 3.\n","audio.write_audiofile('/content/Test/Test_30_audio.wav')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["[MoviePy] Writing audio in /content/Test/Test_30_audio.wav\n"],"name":"stdout"},{"output_type":"stream","text":["100%|██████████| 111/111 [00:00<00:00, 4497.07it/s]"],"name":"stderr"},{"output_type":"stream","text":["[MoviePy] Done.\n"],"name":"stdout"},{"output_type":"stream","text":["\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"zdi31sQGMSKu","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":75},"executionInfo":{"status":"ok","timestamp":1592855091110,"user_tz":240,"elapsed":1527,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"d306d506-1ff8-44d0-b8d7-0c186c3f56b4"},"source":["audio_signal  , sr = librosa.core.load('/content/Test/Test_30_audio.wav')\n","Audio(audio_signal, rate=sr)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["\n","                <audio controls=\"controls\" >\n","                    <source 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\" type=\"audio/wav\" />\n","                    Your browser does not support the audio element.\n","                </audio>\n","              "],"text/plain":["<IPython.lib.display.Audio object>"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"markdown","metadata":{"id":"BAEL5JRJNFwi","colab_type":"text"},"source":["### Run a sample prediction\n"]},{"cell_type":"code","metadata":{"id":"J2CvivBoNStw","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1592958464387,"user_tz":240,"elapsed":529,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"4259d511-0487-4f16-8478-a78214c80242"},"source":["%tensorflow_version 1.x"],"execution_count":null,"outputs":[{"output_type":"stream","text":["TensorFlow 1.x selected.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"5tTA-MimU1t-","colab_type":"code","colab":{}},"source":["os.chdir('/content/')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"9mvJ98VlNH5p","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":627},"executionInfo":{"status":"ok","timestamp":1592851247450,"user_tz":240,"elapsed":7551,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"b8ae79df-5bd7-4520-df27-34d8fd5e2c57"},"source":["! cd laughter-detection ; python segment_laughter.py '/content/Test/Test_30_audio.wav' models/model.h5 '/content/laugh_out' 0.8 0.1"],"execution_count":null,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:From /content/laughter-detection/laugh_segmenter.py:2: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n","\n","WARNING:tensorflow:From /content/laughter-detection/laugh_segmenter.py:4: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n","\n","2020-06-22 18:40:42.869087: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz\n","2020-06-22 18:40:42.869370: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1626bc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n","2020-06-22 18:40:42.869407: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n","2020-06-22 18:40:42.872381: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n","2020-06-22 18:40:42.875293: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n","2020-06-22 18:40:42.875329: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (8340c7dcc4cd): /proc/driver/nvidia/version does not exist\n","Using TensorFlow backend.\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/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 /tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/nn_impl.py:183: 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","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n","\n","/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py:384: UserWarning: Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.\n","  warnings.warn('Error in loading the saved optimizer '\n","[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174]\n","\n","[327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381]\n","\n","\n","found 2 laughs.\n","{'filename': '/content/laugh_out/laugh_0.wav', 'start': 0.0, 'end': 1.74}\n","{'filename': '/content/laugh_out/laugh_1.wav', 'start': 3.27, 'end': 3.81}\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"0kFgsbI2Sucf","colab_type":"code","colab":{}},"source":["os.chdir('/content/laughter-detection')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"it5oOLdUR19f","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":124},"executionInfo":{"status":"ok","timestamp":1592958473226,"user_tz":240,"elapsed":5474,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"cd4e54ea-74c7-4f84-936a-cd67a19d7992"},"source":["import os\n","import sys\n","import laugh_segmenter\n","import tgt\n","\n","def seconds_to_frames(s):\n","\treturn(int(s*100))\n","\n","\n","def laugh_detector(input_path, model_path, output_path, threshold=0.5, min_length=0.2, save_to_textgrid=True):\n","\n","  from tensorflow.keras import backend as K\n","  K.clear_session()\n","\n","  \n","  min_length = seconds_to_frames(min_length)\n","\n","  laughs = laugh_segmenter.segment_laughs(input_path, model_path, output_path,\n","                                                      threshold, min_length, save_to_textgrid) \n","  # print(); print(\"found %d laughs.\" % (len (laughs)))\n","\n","  # if not save_to_textgrid:\n","  #   for laugh in laughs:\n","  #     print(laugh)\n","  # else:\n","  #   tg = tgt.TextGrid()\n","  #   laughs_tier = tgt.IntervalTier(name='laughter', objects=[\n","  #     tgt.Interval(l['start'], l['end'], 'laugh') for l in laughs])\n","  #   tg.add_tier(laughs_tier)\n","  #   fname = os.path.splitext(os.path.basename(input_path))[0]\n","  #   #tgt.write_to_file(tg, os.path.join(output_path, fname + '_laughter.TextGrid'))\n","\n","  #   # print('Saved laughter segments in {}'.format(\n","  #   #   os.path.join(output_path, fname + '_laughter.TextGrid')))\n","  \n","  return len(laughs)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:From /content/laughter-detection/laugh_segmenter.py:2: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n","\n","WARNING:tensorflow:From /content/laughter-detection/laugh_segmenter.py:4: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n","\n"],"name":"stdout"},{"output_type":"stream","text":["Using TensorFlow backend.\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"m8cctKxfTRJM","colab_type":"code","colab":{}},"source":["num_laughs = laugh_detector('/content/Test/Test_30_audio.wav', 'models/model.h5' ,'/content/laugh_out' , 0.8 , 0.1)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"Rb9PAmaqWOz_","colab_type":"text"},"source":["## Preprocess Pipeline"]},{"cell_type":"code","metadata":{"id":"j9cmSouQWCN0","colab_type":"code","colab":{}},"source":["TEST_PATH = '/content/train-full/Train/'\n","test_videos = natsorted(glob.glob(TEST_PATH + '*.mp4'))\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"lmxVaS1vWYeZ","colab_type":"code","colab":{}},"source":["all_num_laughs = []\n","targets = []\n","target_labels = np.loadtxt(\"/content/drive/My Drive/Machine-Learning-Projects/cs231n-project/datasets/emotiw/Train_labels.txt\", comments=\"#\", delimiter=\" \", unpack=False, dtype=str)\n","\n","def process(video):\n","  file_name = os.path.basename(video)\n","  write_path = os.path.join(TEST_PATH , file_name[:-4] + '.wav')\n","  video = VideoFileClip(video , verbose=False) # 2.\n","  audio = video.audio # 3.\n","  audio.write_audiofile(write_path , verbose=False , progress_bar=False)\n","\n","  return True\n","\n","  # num_laughs = laugh_detector(write_path, 'models/model.h5' ,'/content/laugh_out' , 0.8 , 0.1)\n","  # #all_num_laughs.append(num_laughs)\n","\n","  # target_index = np.where(target_labels[:, 0] == file_name[:-4])[0]\n","  # target_index = int(target_index)\n","  # target = int(target_labels[:, 1][target_index]) - 1\n","  # return (num_laughs , target)\n","\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"2g2VzYRIzxCh","colab_type":"code","colab":{}},"source":["def process_audio(audio):\n","  file_name = os.path.basename(audio)\n","  write_path = os.path.join(TEST_PATH , file_name[:-4] + '.wav')\n","\n","  num_laughs = laugh_detector(write_path, 'models/model.h5' ,'/content/laugh_out' , 0.8 , 0.1)\n","  #all_num_laughs.append(num_laughs)\n","\n","  target_index = np.where(target_labels[:, 0] == file_name[:-4])[0]\n","  target_index = int(target_index)\n","  target = int(target_labels[:, 1][target_index]) - 1\n","  return (num_laughs , target)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"0u0QQQ3LkgTx","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1592959663318,"user_tz":240,"elapsed":1056102,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"f2e76508-77b5-4af3-ee2b-42c8ffcaaa15"},"source":["result = []\n","with ThreadPoolExecutor(max_workers=32) as executor:\n","  for video, out in zip(test_videos, executor.map(process, test_videos)):\n","    result.append(out)\n","    print('finished processing' , video)\n","\n","print(\"Complete\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["finished processing /content/train-full/Train/2_1.mp4\n","finished processing /content/train-full/Train/2_2.mp4\n","finished processing /content/train-full/Train/2_3.mp4\n","finished processing /content/train-full/Train/2_4.mp4\n","finished processing /content/train-full/Train/3_1.mp4\n","finished processing /content/train-full/Train/3_2.mp4\n","finished processing /content/train-full/Train/3_3.mp4\n","finished processing /content/train-full/Train/3_4.mp4\n","finished processing /content/train-full/Train/3_5.mp4\n","finished processing /content/train-full/Train/3_6.mp4\n","finished processing /content/train-full/Train/3_7.mp4\n","finished processing 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Please use tf.compat.v1.global_variables instead.\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r  0%|          | 1/2661 [00:14<10:43:05, 14.51s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r  0%|          | 2/2661 [00:17<8:11:34, 11.09s/it] "],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r  0%|          | 3/2661 [00:20<6:26:16,  8.72s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r  0%|          | 4/2661 [00:24<5:18:05,  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411]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 10%|█         | 276/2661 [15:04<2:08:32,  3.23s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 10%|█         | 277/2661 [15:07<2:07:37,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 10%|█         | 278/2661 [15:11<2:10:31,  3.29s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 10%|█         | 279/2661 [15:14<2:09:49,  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[24:00<1:58:48,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]\n","\n","[172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 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laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 17%|█▋        | 446/2661 [24:13<1:59:12,  3.23s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 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laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 18%|█▊        | 471/2661 [25:33<1:56:20,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 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167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178]\n","\n","[341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 20%|██        | 541/2661 [29:19<1:53:26,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 20%|██        | 542/2661 [29:22<1:52:28,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 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[35:25<1:47:09,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 25%|██▍       | 656/2661 [35:28<1:49:12,  3.27s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 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34%|███▍      | 911/2661 [49:08<1:33:12,  3.20s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 34%|███▍      | 912/2661 [49:11<1:32:32,  3.17s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 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17, 18, 19]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 34%|███▍      | 917/2661 [49:27<1:34:22,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61]\n","\n","[268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347]\n","\n","\n","Loading audio file...\n","\n","Looking for 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laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 38%|███▊      | 1003/2661 [54:03<1:30:12,  3.26s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 38%|███▊      | 1004/2661 [54:06<1:29:15,  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laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 38%|███▊      | 1009/2661 [54:23<1:28:38,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 38%|███▊      | 1010/2661 [54:26<1:27:39,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 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100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 40%|████      | 1077/2661 [58:01<1:24:44,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 41%|████      | 1078/2661 [58:04<1:24:01,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 41%|████      | 1079/2661 [58:07<1:26:33,  3.28s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 41%|████      | 1080/2661 [58:10<1:26:05,  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19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42]\n","\n","[260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 59%|█████▉    | 1566/2661 [1:24:34<59:33,  3.26s/it]  "],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 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59%|█████▉    | 1580/2661 [1:25:19<58:46,  3.26s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 59%|█████▉    | 1581/2661 [1:25:23<58:29,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n","\n","[106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 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35]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 60%|██████    | 1608/2661 [1:26:50<56:48,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 60%|██████    | 1609/2661 [1:26:53<56:22,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 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26, 27, 28, 29, 30]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 61%|██████    | 1612/2661 [1:27:03<56:35,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 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audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 64%|██████▍   | 1701/2661 [1:31:51<52:34,  3.29s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 64%|██████▍   | 1702/2661 [1:31:55<51:53,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 64%|██████▍   | 1703/2661 [1:31:58<51:15,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for 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128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142]\n","\n","[264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 72%|███████▏  | 1916/2661 [1:43:26<40:28,  3.26s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 72%|███████▏  | 1917/2661 [1:43:29<40:09,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 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1920/2661 [1:43:39<39:10,  3.17s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 72%|███████▏  | 1921/2661 [1:43:42<40:00,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 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audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▎  | 1959/2661 [1:45:44<37:55,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▎  | 1960/2661 [1:45:48<37:29,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 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74%|███████▍  | 1966/2661 [1:46:07<37:42,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 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1968/2661 [1:46:13<37:13,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n","\n","[111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1969/2661 [1:46:17<37:03,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1970/2661 [1:46:20<37:33,  3.26s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]\n","\n","[148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 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28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47]\n","\n","[103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 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209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1976/2661 [1:46:39<36:53,  3.23s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6]\n","\n","[253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1977/2661 [1:46:42<36:25,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1978/2661 [1:46:46<36:15,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1979/2661 [1:46:49<36:52,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1980/2661 [1:46:52<36:32,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1981/2661 [1:46:55<36:18,  3.20s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 74%|███████▍  | 1982/2661 [1:46:58<36:02,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▍  | 1983/2661 [1:47:02<35:58,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▍  | 1984/2661 [1:47:05<36:41,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▍  | 1985/2661 [1:47:08<36:14,  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22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▍  | 1990/2661 [1:47:24<35:36,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▍  | 1991/2661 [1:47:27<35:29,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 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75%|███████▍  | 1994/2661 [1:47:37<35:39,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42]\n","\n","[95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186]\n","\n","[364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 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[1:48:06<35:17,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▌  | 2004/2661 [1:48:09<34:53,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▌  | 2005/2661 [1:48:12<34:40,  3.17s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 75%|███████▌  | 2006/2661 [1:48:15<35:25,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]\n","\n","\n","Loading audio file...\n","\n","Looking for 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for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2018/2661 [1:48:54<34:03,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2019/2661 [1:48:57<33:49,  3.16s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2020/2661 [1:49:00<34:40,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n","\n","[111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2021/2661 [1:49:03<34:31,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2022/2661 [1:49:07<34:13,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2023/2661 [1:49:10<33:58,  3.20s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2024/2661 [1:49:13<34:43,  3.27s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2025/2661 [1:49:16<34:19,  3.24s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2026/2661 [1:49:20<34:04,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2027/2661 [1:49:23<33:55,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2028/2661 [1:49:26<33:37,  3.19s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▌  | 2029/2661 [1:49:29<34:18,  3.26s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▋  | 2030/2661 [1:49:32<33:51,  3.22s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▋  | 2031/2661 [1:49:36<33:43,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▋  | 2032/2661 [1:49:39<33:31,  3.20s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64]\n","\n","[241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▋  | 2033/2661 [1:49:42<34:03,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n","\n","[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▋  | 2034/2661 [1:49:45<33:44,  3.23s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 76%|███████▋  | 2035/2661 [1:49:49<33:25,  3.20s/it]"],"name":"stderr"},{"output_type":"stream","text":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69]\n","\n","\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 77%|███████▋  | 2036/2661 [1:49:52<33:06,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 77%|███████▋  | 2037/2661 [1:49:55<33:02,  3.18s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 77%|███████▋  | 2038/2661 [1:49:58<33:45,  3.25s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n","\n","Looking for laughter...\n","\n"],"name":"stdout"},{"output_type":"stream","text":["\r 77%|███████▋  | 2039/2661 [1:50:01<33:16,  3.21s/it]"],"name":"stderr"},{"output_type":"stream","text":["\n","Loading audio file...\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"wzBxzL3NYmNs","colab_type":"code","colab":{}},"source":["all_num_laughs_np  = np.asarray(all_num_laughs)\n","\n","pickle.dump(all_num_laughs_np, open( \"/content/drive/My Drive/Machine-Learning-Projects/cs231n-project/datasets/emotiw/x_laughs_train.p\", \"wb\" ) )"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"x4fOZ9ZfbYWA","colab_type":"code","colab":{}},"source":["#y = np.asarray(lines[1: , 1], dtype='float32') - 1\n","pickle.dump(targets, open( \"/content/drive/My Drive/Machine-Learning-Projects/cs231n-project/datasets/emotiw/y_laughs_train.p\", \"wb\" ) )"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"GO-vEWGG-Z6w","colab_type":"code","colab":{}},"source":["all_num_laughs_np = np.load(\"/content/drive/My Drive/Machine-Learning-Projects/cs231n-project/datasets/emotiw/x_laughs_test.p\", allow_pickle=True)\n","y = np.load(\"/content/drive/My Drive/Machine-Learning-Projects/cs231n-project/datasets/emotiw/y_laughs_test.p\", allow_pickle=True)\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"4MSmecvW-g_7","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":624},"executionInfo":{"status":"ok","timestamp":1592953841278,"user_tz":240,"elapsed":344,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"bc131d5a-f69e-4134-8ad7-c5bec229a9ed"},"source":["all_num_laughs_np"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1,\n","       1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 1, 1, 1, 2, 1, 2, 0, 1, 0, 1, 0,\n","       0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 1, 1, 1, 3, 1, 1, 0,\n","       1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1,\n","       0, 0, 2, 0, 2, 1, 2, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0,\n","       0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 2, 2, 1, 0,\n","       0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2,\n","       1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0,\n","       0, 1, 1, 0, 2, 0, 0, 1, 2, 2, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1,\n","       1, 2, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1,\n","       1, 1, 1, 1, 2, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 0,\n","       0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 1, 0, 0, 0, 2,\n","       1, 1, 1, 2, 1, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0,\n","       0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1,\n","       0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 0, 2, 0, 1, 0, 2, 0,\n","     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  0, 1, 2, 1, 1, 0, 1, 1, 0, 2, 2, 0, 2, 0, 0, 1, 0, 0, 0, 1, 0, 1,\n","       0, 0, 1, 1, 2, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0,\n","       1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 2, 1,\n","       0, 0, 1, 1, 1, 2, 1, 1, 0, 0, 0, 0, 2, 1, 2, 1, 0, 2, 1, 2, 1, 1,\n","       0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0,\n","       0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1,\n","       1, 1, 0, 0, 1, 1, 0, 1])"]},"metadata":{"tags":[]},"execution_count":3}]},{"cell_type":"code","metadata":{"id":"uDeoE4j1-4rs","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":624},"executionInfo":{"status":"ok","timestamp":1592954332178,"user_tz":240,"elapsed":437,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"62efa5e7-4176-4db2-8e5d-47f765d9f940"},"source":["y = np.asarray(y)\n","y"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([1, 1, 2, 1, 2, 0, 1, 0, 2, 0, 0, 2, 1, 0, 1, 2, 1, 0, 0, 0, 1, 2,\n","       1, 0, 2, 1, 1, 1, 2, 0, 1, 2, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 1, 1,\n","       1, 0, 2, 2, 0, 0, 2, 1, 1, 1, 2, 1, 2, 2, 1, 0, 2, 1, 1, 0, 1, 1,\n","       2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 2, 1, 0, 1, 0, 2, 0, 1, 2, 1, 0,\n","       1, 2, 0, 0, 0, 2, 0, 2, 0, 1, 2, 2, 0, 0, 2, 0, 1, 1, 1, 1, 2, 0,\n","       1, 2, 2, 0, 1, 1, 1, 2, 1, 2, 1, 1, 0, 2, 1, 1, 1, 1, 0, 0, 1, 2,\n","       1, 1, 1, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 2,\n","       1, 0, 1, 2, 0, 1, 1, 2, 0, 0, 2, 2, 2, 0, 2, 0, 2, 2, 1, 0, 0, 1,\n","       1, 1, 0, 2, 1, 1, 2, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 1, 2, 1, 0,\n","       1, 2, 2, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 2, 1, 1, 0, 0, 2, 0, 0,\n","       0, 1, 2, 1, 1, 0, 0, 1, 2, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 1, 0, 0,\n","       2, 2, 0, 1, 0, 0, 1, 2, 2, 1, 2, 2, 1, 1, 1, 0, 0, 2, 0, 0, 0, 0,\n","       1, 1, 2, 2, 0, 2, 2, 2, 2, 0, 2, 2, 0, 2, 1, 0, 2, 0, 0, 2, 1, 1,\n","       0, 1, 2, 2, 1, 1, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 2, 2, 0, 0,\n","       0, 2, 1, 0, 2, 0, 2, 1, 0, 2, 2, 2, 2, 1, 0, 2, 0, 0, 0, 2, 0, 2,\n","       0, 0, 0, 0, 1, 1, 2, 1, 0, 1, 0, 1, 1, 1, 2, 0, 0, 1, 1, 1, 1, 0,\n","       0, 0, 0, 1, 0, 1, 2, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 2, 0, 0, 0, 0,\n","       0, 2, 0, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 0, 2, 2, 1, 2, 1,\n","       1, 2, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 2, 1, 0, 1, 0, 0, 1,\n","       1, 1, 2, 0, 1, 1, 0, 2, 0, 1, 2, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 2,\n","       1, 0, 2, 2, 0, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 0, 1, 2, 1, 1, 2, 0,\n","       1, 0, 1, 2, 0, 1, 2, 2, 0, 2, 0, 1, 1, 2, 2, 1, 1, 1, 1, 1, 0, 0,\n","       1, 2, 2, 1, 0, 0, 0, 1, 1, 0, 2, 2, 1, 0, 1, 2, 0, 1, 0, 1, 1, 1,\n","       0, 2, 0, 2, 0, 1, 1, 2, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 0, 1, 1, 1,\n","       2, 0, 0, 2, 1, 1, 1, 1, 1, 1, 0, 1, 2, 1, 0, 2, 1, 0, 0, 1, 0, 0,\n","       1, 2, 1, 2, 2, 2, 0, 0, 2, 0, 1, 1, 1, 1, 2, 1, 0, 2, 0, 2, 1, 1,\n","       1, 2, 0, 1, 1, 2, 2, 0, 0, 1, 1, 2, 2, 1, 0, 1, 0, 1, 0, 1, 0, 1,\n","       0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 0, 2, 0, 1, 2, 1, 2, 1, 0,\n","       1, 1, 2, 2, 1, 0, 2, 0, 1, 2, 0, 2, 2, 1, 0, 2, 1, 2, 0, 1, 2, 0,\n","       1, 1, 0, 2, 0, 2, 1, 2, 0, 1, 1, 1, 1, 2, 0, 0, 1, 0, 1, 1, 2, 2,\n","       2, 1, 1, 0, 0, 2, 2, 0, 1, 2, 1, 1, 2, 1, 2, 0, 1, 0, 1, 0, 2, 1,\n","       0, 2, 0, 0, 1, 1, 2, 0, 1, 2, 1, 0, 0, 0, 2, 2, 0, 0, 1, 2, 0, 2,\n","       1, 1, 0, 2, 1, 0, 1, 1, 1, 2, 1, 0, 1, 0, 1, 1, 2, 0, 0, 2, 0, 1,\n","       1, 1, 1, 2, 2, 1, 0, 0, 1, 1, 1, 1, 1, 0, 2, 0, 2, 1, 0, 1, 1, 1,\n","       2, 0, 1, 2, 2, 1, 1, 0])"]},"metadata":{"tags":[]},"execution_count":24}]},{"cell_type":"code","metadata":{"id":"_7-Ucwze_I-Q","colab_type":"code","colab":{}},"source":["# laughs_detected = np.where(all_num_laughs_np<=1, 0 ,  laughs_detected) \n","# laughs_detected = np.where(all_num_laughs_np>1, 1, all_num_laughs_np) \n","laughs_detected = np.where(all_num_laughs_np<1, 0 ,  all_num_laughs_np)\n","laughs_detected = np.where(laughs_detected>=1, 1 ,  laughs_detected)  "],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"okQ4moId-nUX","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":624},"executionInfo":{"status":"ok","timestamp":1592955574438,"user_tz":240,"elapsed":464,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"d7110026-c8d4-44f4-c9c8-bb2c8219198b"},"source":["laughs_detected"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1,\n","       1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0,\n","       0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0,\n","       1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1,\n","       0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0,\n","       0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0,\n","       0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1,\n","       1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0,\n","       0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1,\n","       1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1,\n","       1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0,\n","       0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1,\n","       1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0,\n","       0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1,\n","       0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0,\n","       1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 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0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1,\n","       0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0,\n","       1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1,\n","       0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1,\n","       0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0,\n","       0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1,\n","       1, 1, 0, 0, 1, 1, 0, 1])"]},"metadata":{"tags":[]},"execution_count":60}]},{"cell_type":"code","metadata":{"id":"dpQeVB2YAgbE","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":624},"executionInfo":{"status":"ok","timestamp":1592955131654,"user_tz":240,"elapsed":346,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"fbaf83f9-1d3c-4edb-c442-c27763708fa5"},"source":["y_grouped = np.where(y>0, -1 ,  y) \n","y_grouped = np.where(y_grouped==0, 1 ,  y_grouped) \n","y_grouped = np.where(y_grouped==-1, 0 ,  y_grouped) \n","y_grouped"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0,\n","       0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0,\n","       0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1,\n","       0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1,\n","       0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0,\n","       0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0,\n","       0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0,\n","       0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1,\n","       0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1,\n","       1, 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1])"]},"metadata":{"tags":[]},"execution_count":52}]},{"cell_type":"code","metadata":{"id":"OpCDsEQg_3xw","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":571},"executionInfo":{"status":"ok","timestamp":1592955401633,"user_tz":240,"elapsed":457,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"416c1385-83ac-4685-f588-4e9ecd74900d"},"source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sn\n","import tensorflow\n","classes=['Neu/Neg' , 'Pos'] \n","\n","y_pred_final , y_true_final = laughs_detected , y_grouped\n","con_mat = tensorflow.math.confusion_matrix(labels=y_true_final, predictions=y_pred_final).numpy()\n","\n","con_mat_norm = np.around(con_mat.astype('float') / con_mat.sum(axis=1)[:, np.newaxis], decimals=2)\n","\n","con_mat_df = pd.DataFrame(con_mat_norm,\n","                  index = classes, \n","                  columns = classes)\n","\n","\n","figure = plt.figure(figsize=(11, 9))\n","plt.title(\"Laugh detector\")\n","sn.heatmap(con_mat_df, annot=True,cmap=plt.cm.Blues)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7de3210208>"]},"metadata":{"tags":[]},"execution_count":58},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 792x648 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"Zv5Gvc9veHt7","colab_type":"text"},"source":["### Count something as a laugh if it has more than 1 laugh segment"]},{"cell_type":"code","metadata":{"id":"C7E3IaJLfuh5","colab_type":"code","colab":{}},"source":["laughs_detected_1 = np.where(all_num_laughs_np<=1, 0 ,  all_num_laughs_np)\n","laughs_detected_1 = np.where(laughs_detected_1>1, 1 ,  laughs_detected_1)  "],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"IXjYKFKydvQY","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":571},"executionInfo":{"status":"ok","timestamp":1592955689602,"user_tz":240,"elapsed":533,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"a43696ad-7a60-4dbc-96fc-994678be9f56"},"source":["classes=['Neu/Neg' , 'Pos'] \n","\n","y_pred_final , y_true_final = laughs_detected_1 , y_grouped\n","con_mat = tensorflow.math.confusion_matrix(labels=y_true_final, predictions=y_pred_final).numpy()\n","\n","con_mat_norm = np.around(con_mat.astype('float') / con_mat.sum(axis=1)[:, np.newaxis], decimals=2)\n","\n","con_mat_df = pd.DataFrame(con_mat_norm,\n","                  index = classes, \n","                  columns = classes)\n","\n","\n","figure = plt.figure(figsize=(11, 9))\n","plt.title(\"Soft Voting Confusion Matrix with Scene & Audio\")\n","sn.heatmap(con_mat_df, annot=True,cmap=plt.cm.Blues)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7de3355c50>"]},"metadata":{"tags":[]},"execution_count":61},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 792x648 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"6FluiBMJgDQL","colab_type":"code","colab":{}},"source":["laughs_detected_2 = np.where(all_num_laughs_np<=2, 0 ,  all_num_laughs_np)\n","laughs_detected_2 = np.where(laughs_detected_2>2, 1 ,  laughs_detected_2)  "],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"vZOmPXTlg_AR","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":624},"executionInfo":{"status":"ok","timestamp":1592955692571,"user_tz":240,"elapsed":375,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"64a87372-17c7-4647-a747-2ec59527d9ce"},"source":["y_grouped"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 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Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"4ad090f0-9b08-49c4-ad9f-6f03a0a702fe"},"source":["laughs_detected_1\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,\n","       0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0,\n","       0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,\n","       0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n","       0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0])"]},"metadata":{"tags":[]},"execution_count":64}]},{"cell_type":"code","metadata":{"id":"B2OlS1iGgHfc","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":571},"executionInfo":{"status":"ok","timestamp":1592955706254,"user_tz":240,"elapsed":546,"user":{"displayName":"Leila Abdelrahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiiOBijfsdVdWn4yrdWM-_fgxn37DQ4bPiUdT7W=s64","userId":"10595688673230464384"}},"outputId":"709f1f39-865b-46b8-a7d8-82419a658fc1"},"source":["classes=['Neu/Neg' , 'Pos'] \n","\n","y_pred_final , y_true_final = laughs_detected_2 , y_grouped\n","con_mat = tensorflow.math.confusion_matrix(labels=y_true_final, predictions=y_pred_final).numpy()\n","\n","con_mat_norm = np.around(con_mat.astype('float') / con_mat.sum(axis=1)[:, np.newaxis], decimals=2)\n","\n","con_mat_df = pd.DataFrame(con_mat_norm,\n","                  index = classes, \n","                  columns = classes)\n","\n","\n","figure = plt.figure(figsize=(11, 9))\n","plt.title(\"Soft Voting Confusion Matrix with Scene & Audio\")\n","sn.heatmap(con_mat_df, annot=True,cmap=plt.cm.Blues)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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\n","text/plain":["<Figure size 792x648 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"UEY9wPzbUKKh","colab_type":"text"},"source":["## Resources: \n","\n","Adapted from \n","\n","Kimiko Ryokai, Elena Durán López, Noura Howell, Jon Gillick, and David Bamman (2018), \"Capturing, Representing, and Interacting with Laughter,\" CHI 2018"]}]}