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href=\"https://colab.research.google.com/github/kevincong95/cs231n-emotiw/blob/master/notebooks/2.4-tj-la-ak-kc-vl-FINAL-ensemble_fc_predictions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"]},{"cell_type":"markdown","metadata":{"id":"0rWTS99OI8l-","colab_type":"text"},"source":["## Video Sentiment Analysis in the Wild\n","### Ensembling Notebook | FC | CS231n\n","\n","This notebook runs a basic FC classifier on the predicted outputs of each individual modality. Assumes the preprocessing has already been completed.\n","\n","### Modalities Used\n","- Scene (VGG - single LSTM head) [model](https://storage.googleapis.com/cs231n-emotiw/models/vgg19-lstm-cp-0003.h5)\n","- Pose [model](https://storage.googleapis.com/cs231n-emotiw/models/pose-classifier-64lstm-0.01reg.h5)\n","- Audio [model](https://storage.googleapis.com/cs231n-emotiw/models/openl3-cnn-lstm-tuned-lr.h5)\n","- Image Captioning [model](https://storage.googleapis.com/cs231n-emotiw/models/sentiment-transformer_sentiment-transformer_756.pth) and [model metadata](https://storage.googleapis.com/cs231n-emotiw/models/sentiment-transformer-16.metadata.bin)\n","\n","Val Accuracy = **62.5%**\n","\n","FC Model [model](https://storage.googleapis.com/cs231n-emotiw/models/ensemble-fc-final-v2.h5)\n","\n","### Excluded Modalities\n","**NOTE:** This notebook produces a concatenated vector containing features from modalities in addition to the ones listed above but some are excluded for the FC model as we observed a decrease in performance when compared to the modalities above. \n","- Face [model](https://storage.googleapis.com/cs231n-emotiw/models/face-classifier-cp-0001.h5)\n","- ResNet [model](https://storage.googleapis.com/cs231n-emotiw/models/scene-classifier-resnet-lstm-x3.h5)"]},{"cell_type":"markdown","metadata":{"id":"Z6mwwTKlWFCN","colab_type":"text"},"source":["### Are we working with the tiny dataset or the final dataset?"]},{"cell_type":"code","metadata":{"id":"iY1doqmoWHzR","colab_type":"code","colab":{}},"source":["IS_TINY = False"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"AKBv4jZKrhQ0","colab_type":"text"},"source":["### Copy Pre-Processed Files"]},{"cell_type":"code","metadata":{"id":"QdlpDjXpdiqz","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"executionInfo":{"status":"ok","timestamp":1592544092509,"user_tz":420,"elapsed":2547,"user":{"displayName":"Tom Tom Jin","photoUrl":"","userId":"01893011177174686364"}},"outputId":"349ac8c1-9421-4fa5-81eb-60d4e654206a"},"source":["!ls"],"execution_count":null,"outputs":[{"output_type":"stream","text":["sample_data\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"C40EhGh9kopZ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":312},"outputId":"3b9c8093-dc7b-4a4b-9248-44d4733834ff"},"source":["!nvidia-smi"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Sun Jun  7 11:40:46 2020       \n","+-----------------------------------------------------------------------------+\n","| NVIDIA-SMI 440.82       Driver Version: 418.67       CUDA Version: 10.1     |\n","|-------------------------------+----------------------+----------------------+\n","| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n","| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n","|===============================+======================+======================|\n","|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |\n","| N/A   33C    P0    25W / 250W |      0MiB / 16280MiB |      0%      Default |\n","+-------------------------------+----------------------+----------------------+\n","                                                                               \n","+-----------------------------------------------------------------------------+\n","| Processes:                                                       GPU Memory |\n","|  GPU       PID   Type   Process name                             Usage      |\n","|=============================================================================|\n","|  No running processes found                                                 |\n","+-----------------------------------------------------------------------------+\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"a3uocKM6CN7a","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":122},"executionInfo":{"status":"ok","timestamp":1592980479414,"user_tz":420,"elapsed":15164,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"91f2611a-8383-49df-ae30-38f089c9e9ba"},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n","\n","Enter your authorization code:\n","··········\n","Mounted at /content/drive\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"XQnFc3BdeCVL","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":513},"executionInfo":{"status":"ok","timestamp":1592690537191,"user_tz":420,"elapsed":235759,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"2a1c8c64-618c-4a6c-b729-f83849e1df83"},"source":["\n","# FULL_PATH = 'My Drive/Machine-Learning-Projects/cs231n-project/datasets/emotiw'\n","FULL_PATH = 'My Drive/cs231n-project/datasets/emotiw'\n","if IS_TINY:\n","    print(\"Using tiny dataset...\")\n","    !cp /content/drive/'$FULL_PATH'/train-tiny-* .\n","    !cp /content/drive/'$FULL_PATH'/val-tiny-* .\n","else:\n","    print(\"Using final dataset...\")\n","    !cp /content/drive/'$FULL_PATH'/train-final-* .\n","    !cp /content/drive/'$FULL_PATH'/val-final-* .\n","\n","!wget https://storage.googleapis.com/cs231n-emotiw/data/Train_labels.txt\n","!wget https://storage.googleapis.com/cs231n-emotiw/data/Val_labels.txt\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n","\n","Enter your authorization code:\n","··········\n","Mounted at /content/drive\n","Using final dataset...\n","--2020-06-20 22:02:14--  https://storage.googleapis.com/cs231n-emotiw/data/Train_labels.txt\n","Resolving storage.googleapis.com (storage.googleapis.com)... 64.233.189.128, 2404:6800:4008:c03::80\n","Connecting to storage.googleapis.com (storage.googleapis.com)|64.233.189.128|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 21653 (21K) [text/plain]\n","Saving to: ‘Train_labels.txt’\n","\n","Train_labels.txt    100%[===================>]  21.15K  --.-KB/s    in 0s      \n","\n","2020-06-20 22:02:14 (99.3 MB/s) - ‘Train_labels.txt’ saved [21653/21653]\n","\n","--2020-06-20 22:02:15--  https://storage.googleapis.com/cs231n-emotiw/data/Val_labels.txt\n","Resolving storage.googleapis.com (storage.googleapis.com)... 64.233.189.128, 2404:6800:4008:c06::80\n","Connecting to storage.googleapis.com (storage.googleapis.com)|64.233.189.128|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 6265 (6.1K) [text/plain]\n","Saving to: ‘Val_labels.txt’\n","\n","Val_labels.txt      100%[===================>]   6.12K  --.-KB/s    in 0s      \n","\n","2020-06-20 22:02:16 (52.0 MB/s) - ‘Val_labels.txt’ saved [6265/6265]\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"yXxCkE_DUvEv","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":104},"outputId":"9812567a-52b0-43ce-e203-74cb990d8404"},"source":["!ls"],"execution_count":null,"outputs":[{"output_type":"stream","text":["drive\t\t       train-final-frames.zip  val-final-fer.zip\n","sample_data\t       train-final-pose.zip    val-final-frames.zip\n","train-final-audio.zip  Train_labels.txt        val-final-pose.zip\n","train-final-faces.zip  val-final-audio.zip     Val_labels.txt\n","train-final-fer.zip    val-final-faces.zip\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"sqHRPvB5Cm4F","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1592690926986,"user_tz":420,"elapsed":158571,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"e2e1274c-378c-4538-c900-b882d12e7e9b"},"source":["# RUN THIS FOR TINY FILES (zip does not include root folder)\n","\n","if IS_TINY:\n","    !unzip -d train-tiny-audio train-tiny-audio.zip\n","    !unzip -d train-tiny-faces train-tiny-faces.zip\n","    !unzip -d train-tiny-frames train-tiny-frames.zip\n","    !unzip -d train-tiny-pose train-tiny-pose.zip\n","\n","    !unzip -d val-tiny-audio val-tiny-audio.zip\n","    !unzip -d val-tiny-faces val-tiny-faces.zip\n","    !unzip -d val-tiny-frames val-tiny-frames.zip\n","    !unzip -d val-tiny-pose val-tiny-pose.zip\n","\n","\n","# RUN THIS FOR FINAL FILES (zip includes root folder)\n","\n","if not IS_TINY:\n","    !unzip train-final-audio.zip\n","    !unzip train-final-faces.zip\n","    !unzip train-final-frames.zip\n","    !unzip train-final-pose.zip\n","    !unzip -d train-final-fer train-final-fer.zip\n","\n","    !unzip val-final-audio.zip\n","    !unzip val-final-faces.zip\n","    !unzip val-final-frames.zip\n","    !unzip val-final-pose.zip\n","    !unzip -d val-final-fer val-final-fer.zip\n","\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n","  inflating: val-final-pose/1/frame_212_1.mp4_5_keypoints.json  \n","  inflating: val-final-pose/1/frame_289_57.mp4_3_keypoints.json  \n","  inflating: val-final-pose/1/frame_86_8.mp4_12_keypoints.json  \n","  inflating: val-final-pose/1/frame_54_3.mp4_0_keypoints.json  \n","  inflating: val-final-pose/1/frame_145_2.mp4_10_keypoints.json  \n","  inflating: val-final-pose/1/frame_289_42.mp4_4_keypoints.json  \n","  inflating: val-final-pose/1/frame_284_5.mp4_3_keypoints.json  \n","  inflating: val-final-pose/1/frame_289_53.mp4_7_keypoints.json  \n","  inflating: val-final-pose/1/frame_5_17.mp4_12_keypoints.json  \n","  inflating: val-final-pose/1/frame_5_15.mp4_1_keypoints.json  \n","  inflating: 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val-final-pose/2/frame_21_1.mp4_5_keypoints.json  \n","Archive:  val-final-fer.zip\n","  inflating: val-final-fer/faces-fer-Y.npy  \n","  inflating: val-final-fer/faces-fer-X.npy  \n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"gF6Fy4-SLJVP","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":170},"executionInfo":{"status":"ok","timestamp":1592691050508,"user_tz":420,"elapsed":3599,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"87905680-7a90-4957-8a5c-23d4b0f9e198"},"source":["!ls"],"execution_count":null,"outputs":[{"output_type":"stream","text":["drive\t\t\t  train-final-frames\t  val-final-faces.zip\n","sample_data\t\t  train-final-frames.zip  val-final-fer\n","train-final-audio\t  train-final-pose\t  val-final-fer.zip\n","train-final-audio.zip\t  train-final-pose.zip\t  val-final-frames\n","train-final-captions.pkl  Train_labels.txt\t  val-final-frames.zip\n","train-final-faces\t  val-final-audio\t  val-final-pose\n","train-final-faces.zip\t  val-final-audio.zip\t  val-final-pose.zip\n","train-final-fer\t\t  val-final-captions.pkl  Val_labels.txt\n","train-final-fer.zip\t  val-final-faces\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"0jEaDQAsS8XQ","colab_type":"text"},"source":["### Run Classifiers"]},{"cell_type":"code","metadata":{"id":"w0_gfpBjXP6S","colab_type":"code","colab":{}},"source":["%tensorflow_version 2.x"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"dPXBx950Xd8z","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"executionInfo":{"status":"ok","timestamp":1592980320470,"user_tz":420,"elapsed":1560,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"b59467bb-0226-4c77-adf2-8b01f712ca54"},"source":["import tensorflow\n","print(tensorflow.__version__)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["2.2.0\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"pp_USHxwRAVB","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"executionInfo":{"status":"ok","timestamp":1592980321467,"user_tz":420,"elapsed":2080,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"02ba20e7-40ff-4601-d2e3-e9eed273773a"},"source":["!pwd"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"_Nybv6fMJV4X","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":51},"executionInfo":{"status":"ok","timestamp":1592980339186,"user_tz":420,"elapsed":18313,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"462582f9-e71f-4346-f1a6-f29fcf2204b2"},"source":["import urllib\n","from getpass import getpass\n","import os\n","user = input('User name: ')\n","password = getpass('Password: ')\n","password = urllib.parse.quote(password) # your password is converted into url format\n","\n","cmd_string = 'git clone https://{0}:{1}@github.com/kevincong95/cs231n-emotiw.git'.format(user, password)\n","\n","os.system(cmd_string)\n","cmd_string, password = \"\", \"\" # removing the password from the variable"],"execution_count":null,"outputs":[{"output_type":"stream","text":["User name: tbj128\n","Password: ··········\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Z7kRhNvrVnbt","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":51},"executionInfo":{"status":"ok","timestamp":1592980340742,"user_tz":420,"elapsed":12876,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"112cc328-561c-4d2c-953f-e64c9747d55b"},"source":["!mv train-* cs231n-emotiw\n","!mv val-* cs231n-emotiw"],"execution_count":null,"outputs":[{"output_type":"stream","text":["mv: cannot stat 'train-*': No such file or directory\n","mv: cannot stat 'val-*': No such file or directory\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tauiFf5eVtpP","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":51},"executionInfo":{"status":"ok","timestamp":1592980342470,"user_tz":420,"elapsed":14279,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"34e2e143-8e02-4caf-b001-8f858e18e565"},"source":["!mv Train* cs231n-emotiw\n","!mv Val* cs231n-emotiw"],"execution_count":null,"outputs":[{"output_type":"stream","text":["mv: cannot stat 'Train*': No such file or directory\n","mv: cannot stat 'Val*': No such file or directory\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"qiVbcNhfVwa2","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"executionInfo":{"status":"ok","timestamp":1592980343244,"user_tz":420,"elapsed":12548,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"9a8bc85c-a5c1-4e1f-ca9d-dc9c4a7e1f81"},"source":["!pwd"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"hPM9Vm7gVxuR","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"executionInfo":{"status":"ok","timestamp":1592980344053,"user_tz":420,"elapsed":11763,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"41bb29eb-0557-4025-81dc-2dcaa4ab0dd4"},"source":["import os\n","os.chdir('/content/cs231n-emotiw')\n","!pwd"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/cs231n-emotiw\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"oxC5BZIRKyrq","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":632},"executionInfo":{"status":"ok","timestamp":1592980349260,"user_tz":420,"elapsed":16033,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"ac1ac0db-86f4-4a3e-91de-1ad4dab8cc8e"},"source":["!pip install pytorch-transformers"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Collecting pytorch-transformers\n","\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a3/b7/d3d18008a67e0b968d1ab93ad444fc05699403fa662f634b2f2c318a508b/pytorch_transformers-1.2.0-py3-none-any.whl (176kB)\n","\r\u001b[K     |█▉                              | 10kB 22.9MB/s eta 0:00:01\r\u001b[K     |███▊                            | 20kB 3.0MB/s eta 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https://files.pythonhosted.org/packages/7d/34/09d19aff26edcc8eb2a01bed8e98f13a1537005d31e95233fd48216eed10/sacremoses-0.0.43.tar.gz (883kB)\n","\u001b[K     |████████████████████████████████| 890kB 35.9MB/s \n","\u001b[?25hRequirement already satisfied: regex in /usr/local/lib/python3.6/dist-packages (from pytorch-transformers) (2019.12.20)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from pytorch-transformers) (4.41.1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from pytorch-transformers) (1.18.5)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->pytorch-transformers) (2020.4.5.2)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->pytorch-transformers) (2.9)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from 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sentencepiece, sacremoses, pytorch-transformers\n","Successfully installed pytorch-transformers-1.2.0 sacremoses-0.0.43 sentencepiece-0.1.91\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"9xwIeRF_x40m","colab_type":"code","colab":{}},"source":["# Create the concatenated input layer to feed into FC\n","\n","from src.classifiers.audio_classifier import AudioClassifier\n","from src.classifiers.frames_classifier import FramesClassifier\n","from src.classifiers.pose_classifier import PoseClassifier\n","from src.classifiers.face_classifier import FaceClassifier\n","from src.classifiers.image_captioning_classifier import ImageCaptioningClassifier, FineTuningConfig\n","from src.classifiers.utils import get_num_samples\n","import numpy as np\n","\n","IS_TINY = False\n","def run_classifier(layers_to_extract, audio_folder='train-final-audio', frames_folder='train-final-frames', pose_folder='train-final-pose', face_folder='train-final-fer', image_caption_pkl=\"train-final-captions.pkl\", image_caption_prefix=\"train_\", labels_file=\"Train_labels.txt\"):\n","    audio_classifier = AudioClassifier(audio_folder, model_location='https://storage.googleapis.com/cs231n-emotiw/models/openl3-cnn-lstm-tuned-lr.h5', is_test=False)\n","    frames_classifier = FramesClassifier(frames_folder, model_location='https://storage.googleapis.com/cs231n-emotiw/models/scene-classifier-resnet-lstm-x3.h5', is_test=False)\n","    frames_classifier_vgg = FramesClassifier(frames_folder, location_prefix=\"vgg\", model_location='https://storage.googleapis.com/cs231n-emotiw/models/vgg19-lstm-cp-0003.h5', is_test=False, batch_size=4)\n","    pose_classifier = PoseClassifier(pose_folder, model_location='https://storage.googleapis.com/cs231n-emotiw/models/pose-classifier-64lstm-0.01reg.h5', is_test=False)\n","    face_classifier = FaceClassifier(face_folder, model_location='/content/drive/My Drive/cs231n-project/models/face-classifier-playground/cp-0001.h5', is_test=False)\n","    image_captioning_classifier = ImageCaptioningClassifier(image_caption_pkl, image_caption_prefix, model_metadata_location=\"https://storage.googleapis.com/cs231n-emotiw/models/sentiment-transformer-16.metadata.bin\", model_location='https://storage.googleapis.com/cs231n-emotiw/models/sentiment-transformer_sentiment-transformer_756.pth', is_test=False)\n","    \n","    # classifiers = [audio_classifier, frames_classifier, pose_classifier] # face_classifier]\n","    classifiers = [audio_classifier, frames_classifier, frames_classifier_vgg, pose_classifier, face_classifier, image_captioning_classifier]\n","    # classifiers = [frames_classifier_vgg]\n","    \n","    sample_to_true_label = {}\n","    with open(labels_file) as f:\n","        l = 0\n","        for line in f:\n","            if l == 0:\n","                # Skip headers\n","                l += 1\n","                continue\n","            line_arr = line.split(\" \")\n","            sample_to_true_label[line_arr[0].strip()] = int(line_arr[1].strip()) - 1 # subtract one to make labels from 0 to 2\n","            l += 1\n","\n","    classifier_outputs = []\n","    classifier_samples = []\n","    classifier_dim_sizes = []\n","    output_dim_size = 0\n","    num_samples = 0\n","    sample_to_row = {}\n","\n","    for i, classifier in enumerate(classifiers):\n","        output, samples = classifier.predict(layers_to_extract[i])\n","        output_dim_size += output.shape[1]\n","        classifier_dim_sizes.append(output.shape[1])\n","        num_samples = len(samples)\n","        classifier_outputs.append(output)\n","        classifier_samples.append(samples)\n","\n","\n","    X_train = np.zeros(shape=(num_samples, output_dim_size))\n","    y_train = []\n","\n","    print(f\"Number of samples: {num_samples}\")\n","    print(f\"Dim shapes: \")\n","    print(classifier_dim_sizes)\n","\n","    for i, sample in enumerate(classifier_samples[0]):\n","        sample_to_row[sample] = i\n","        y_train.append(sample_to_true_label[sample])\n","\n","    last_classifier_index = 0\n","    for c, output in enumerate(classifier_outputs):\n","        samples = classifier_samples[c]\n","        print(len(output))\n","        for i, row in enumerate(output):\n","            sample = samples[i]\n","            X_train[sample_to_row[sample], last_classifier_index:last_classifier_index+classifier_dim_sizes[c]] += row\n","        last_classifier_index += classifier_dim_sizes[c]\n","\n","    return X_train, tf.keras.utils.to_categorical(y_train, num_classes=3)\n","\n","\n","\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"1VGA1fl2pNvE","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["71c781a6e1f949dc988c795e1cbed930","815ccf4c91104e0db1a4065a7f943725","41caaab83dc44ea9923817256beeea60","d3dd8f3c8b154cc39338fb8ad1b11e74","581232e286c04db4989bdbe11f119e49","2dd5f4b0fb4643cab2f7d8b2932f7d81","6c9d548da24541aa8eada24a5b5985d6","d73d30e03fd84384a2a6f5e88b8d371e","db9f9863216b4616a4f8d46bbfa7c3ce","c32e02a584554cada71c0529d1eeeb58","ba25bd32b1ed460aa025d3a4dbc628c1","e8486c84c97d4db383515c5207c1790e","92799b3ca797492f83ad922eda616a88","ea273c48ba6846508cf8c013a2018c66","9f279e4610cd4e208e7e333f44474461","1c7d408c45844205b2d85d5b3d7ba48f"]},"executionInfo":{"status":"ok","timestamp":1592703526102,"user_tz":420,"elapsed":661289,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"e435e8ea-241c-4e11-d9ef-b60855f0d3d6"},"source":["import tensorflow as tf\n","# For each classifier, extract the specific desired layer \n","# (refer to the model summary for the layer names)\n","\n","layers_to_extract = [\n","    \"dense\", # Audio\n","    \"concatenate_5\", # ResNet\n","    \"global_average_pooling3d_1\", # VGG\n","    \"bidirectional_1\", # Pose\n","    \"dense_27\", # FER\n","    \"classification_head\" # Image Caption\n","]\n","\n","prefix = \"final\"\n","if IS_TINY:\n","    prefix = \"tiny\"\n","\n","# X_train, y_train = run_classifier(layers_to_extract, audio_folder=f\"train-{prefix}-audio\", frames_folder=f\"train-{prefix}-frames\", pose_folder=f\"train-{prefix}-pose\", face_folder=f\"train-{prefix}-fer\" ,labels_file=\"Train_labels.txt\")\n","# X_valid, y_valid = run_classifier(layers_to_extract, audio_folder=f\"val-{prefix}-audio\", frames_folder=f\"val-{prefix}-frames\", pose_folder=f\"val-{prefix}-pose\", face_folder=f\"val-{prefix}-fer\" , labels_file=\"Val_labels.txt\")\n","\n","\n","X_train, y_train = run_classifier(layers_to_extract, audio_folder=f\"train-{prefix}-audio\", frames_folder=f\"train-{prefix}-frames\", pose_folder=f\"train-{prefix}-pose\" , face_folder=f\"train-{prefix}-fer\" , image_caption_pkl=\"train-final-captions.pkl\", image_caption_prefix=\"train_\", labels_file=\"Train_labels.txt\")\n","X_valid, y_valid = run_classifier(layers_to_extract, audio_folder=f\"val-{prefix}-audio\", frames_folder=f\"val-{prefix}-frames\", pose_folder=f\"val-{prefix}-pose\" , face_folder=f\"val-{prefix}-fer\" , image_caption_pkl=\"val-final-captions.pkl\", image_caption_prefix=\"val_\", labels_file=\"Val_labels.txt\")\n","\n","print(X_train.shape)\n","print(y_train.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["AudioClassifier created with audio_folder = train-final-audio , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/openl3-cnn-lstm-tuned-lr.h5\n","WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n","WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n","WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n","FramesClassifier created with frames_folder = train-final-frames , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/scene-classifier-resnet-lstm-x3.h5\n","FramesClassifier created with frames_folder = train-final-frames , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/vgg19-lstm-cp-0003.h5\n","PoseClassifier created with pose_folder = train-final-pose , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/pose-classifier-64lstm-0.01reg.h5\n","load data\n","FacesClassifier created with face_folder = train-final-fer , is_test = False , model_location = /content/drive/My Drive/cs231n-project/models/face-classifier-playground/cp-0001.h5\n","ImageCaptioningClassifier created with caption_pkl = train-final-captions.pkl , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/sentiment-transformer_sentiment-transformer_756.pth\n","Skipping unzipping files as input is a folder\n","Customizing model by returning layer dense\n","Skipping unzipping files as input is a folder\n","Found 2661 frames belonging to 2661 videos belonging to 3 classes.\n","Min frames determined to be 7\n","Customizing model by returning layer concatenate_5\n","Skipping unzipping files as input is a folder\n","Found 2661 frames belonging to 2661 videos belonging to 3 classes.\n","Min frames determined to be 7\n","Customizing model by returning layer global_average_pooling3d_1\n","Skipping unzipping files as input is a folder\n","['3', '2', '1']\n","Found 2661 frames belonging to 2661 videos belonging to 3 classes.\n","Min frames determined to be 7\n","Customizing model by returning layer bidirectional_1\n"],"name":"stdout"},{"output_type":"stream","text":["/content/cs231n-emotiw/src/generators/pose_generator.py:135: RuntimeWarning: invalid value encountered in double_scalars\n","  x_new.append((lx[i] - origin_x) / len_x)\n","/content/cs231n-emotiw/src/generators/pose_generator.py:136: RuntimeWarning: invalid value encountered in double_scalars\n","  x_new.append((ly[i] - origin_y) / len_y)\n"],"name":"stderr"},{"output_type":"stream","text":["Customizing model by returning layer dense_27\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"71c781a6e1f949dc988c795e1cbed930","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Processing 2661 examples on 2 cores', max=2661.0, style=P…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","Number of samples: 2661\n","Dim shapes: \n","[32, 30, 40, 128, 8, 16]\n","2661\n","2661\n","2661\n","2661\n","2661\n","2661\n","AudioClassifier created with audio_folder = val-final-audio , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/openl3-cnn-lstm-tuned-lr.h5\n","WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n","WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n","WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n","FramesClassifier created with frames_folder = val-final-frames , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/scene-classifier-resnet-lstm-x3.h5\n","FramesClassifier created with frames_folder = val-final-frames , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/vgg19-lstm-cp-0003.h5\n","PoseClassifier created with pose_folder = val-final-pose , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/pose-classifier-64lstm-0.01reg.h5\n","load data\n","FacesClassifier created with face_folder = val-final-fer , is_test = False , model_location = /content/drive/My Drive/cs231n-project/models/face-classifier-playground/cp-0001.h5\n","ImageCaptioningClassifier created with caption_pkl = val-final-captions.pkl , is_test = False , model_location = https://storage.googleapis.com/cs231n-emotiw/models/sentiment-transformer_sentiment-transformer_756.pth\n","Skipping unzipping files as input is a folder\n","Customizing model by returning layer dense\n","Skipping unzipping files as input is a folder\n","Found 766 frames belonging to 766 videos belonging to 3 classes.\n","Min frames determined to be 7\n","Customizing model by returning layer concatenate_5\n","Skipping unzipping files as input is a folder\n","Found 766 frames belonging to 766 videos belonging to 3 classes.\n","Min frames determined to be 7\n","Customizing model by returning layer global_average_pooling3d_1\n","Skipping unzipping files as input is a folder\n","['3', '2', '1']\n","Found 766 frames belonging to 766 videos belonging to 3 classes.\n","Min frames determined to be 7\n","Customizing model by returning layer bidirectional_1\n"],"name":"stdout"},{"output_type":"stream","text":["/content/cs231n-emotiw/src/generators/pose_generator.py:135: RuntimeWarning: invalid value encountered in double_scalars\n","  x_new.append((lx[i] - origin_x) / len_x)\n","/content/cs231n-emotiw/src/generators/pose_generator.py:136: RuntimeWarning: invalid value encountered in double_scalars\n","  x_new.append((ly[i] - origin_y) / len_y)\n"],"name":"stderr"},{"output_type":"stream","text":["Customizing model by returning layer dense_27\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"db9f9863216b4616a4f8d46bbfa7c3ce","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Processing 766 examples on 2 cores', max=766.0, style=Pro…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","Number of samples: 766\n","Dim shapes: \n","[32, 30, 40, 128, 8, 16]\n","766\n","766\n","766\n","766\n","766\n","766\n","(2661, 254)\n","(2661, 3)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"kXNhfFvFho1Q","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":295},"outputId":"d6a8b8c7-224d-484e-b907-57dd86d0bd8c"},"source":["!ls"],"execution_count":null,"outputs":[{"output_type":"stream","text":[" data\t\t\t\t\t     train-final-frames\n"," LICENSE\t\t\t\t     train-final-frames.zip\n"," models\t\t\t\t\t     train-final-pose\n"," notebooks\t\t\t\t     train-final-pose.zip\n"," README.md\t\t\t\t     Train_labels.txt\n"," reports\t\t\t\t     val-final-audio\n"," requirements-predictions.txt\t\t     val-final-audio.zip\n"," requirements.txt\t\t\t     val-final-faces\n","'Screen Shot 2020-05-26 at 8.53.32 PM.png'   val-final-faces.zip\n"," src\t\t\t\t\t     val-final-fer\n"," train-final-audio\t\t\t     val-final-fer.zip\n"," train-final-audio.zip\t\t\t     val-final-frames\n"," train-final-faces\t\t\t     val-final-frames.zip\n"," train-final-faces.zip\t\t\t     val-final-pose\n"," train-final-fer\t\t\t     val-final-pose.zip\n"," train-final-fer.zip\t\t\t     Val_labels.txt\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"G0zv6L6hhzsP","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":102},"executionInfo":{"status":"ok","timestamp":1592703596350,"user_tz":420,"elapsed":7264,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"e5ae6b5c-4d00-405d-8233-b7590b7f3a24"},"source":["# !mkdir ensemble-scene-pose-audio-face\n","# np.save(\"ensemble-scene-pose-audio-face/X_train.npy\", X_train)\n","# np.save(\"ensemble-scene-pose-audio-face/y_train.npy\", y_train)\n","# np.save(\"ensemble-scene-pose-audio-face/X_valid.npy\", X_valid)\n","# np.save(\"ensemble-scene-pose-audio-face/y_valid.npy\", y_valid)\n","# !zip -r ensemble-scene-pose-audio-face.zip ensemble-scene-pose-audio-face\n","# !cp ensemble-scene-pose-audio-face.zip ../drive/'My Drive'/cs231n-project/datasets/emotiw\n","\n","# !mkdir ensemble-scene-pose-audio-face-v2\n","# np.save(\"ensemble-scene-pose-audio-face-v2/X_train.npy\", X_train)\n","# np.save(\"ensemble-scene-pose-audio-face-v2/y_train.npy\", y_train)\n","# np.save(\"ensemble-scene-pose-audio-face-v2/X_valid.npy\", X_valid)\n","# np.save(\"ensemble-scene-pose-audio-face-v2/y_valid.npy\", y_valid)\n","# !zip -r ensemble-scene-pose-audio-face-v2.zip ensemble-scene-pose-audio-face-v2\n","# !cp ensemble-scene-pose-audio-face-v2.zip ../drive/'My Drive'/cs231n-project/datasets/emotiw\n","\n","!rm -rf ensemble-scene-scene-pose-audio-face-caption-v1\n","!mkdir ensemble-scene-scene-pose-audio-face-caption-v1\n","np.save(\"ensemble-scene-scene-pose-audio-face-caption-v1/X_train.npy\", X_train)\n","np.save(\"ensemble-scene-scene-pose-audio-face-caption-v1/y_train.npy\", y_train)\n","np.save(\"ensemble-scene-scene-pose-audio-face-caption-v1/X_valid.npy\", X_valid)\n","np.save(\"ensemble-scene-scene-pose-audio-face-caption-v1/y_valid.npy\", y_valid)\n","!zip -r ensemble-scene-scene-pose-audio-face-caption-v1.zip ensemble-scene-scene-pose-audio-face-caption-v1\n","# !cp ensemble-scene-pose-audio-v1.zip ../drive/'My Drive/Machine-Learning-Projects'/cs231n-project/datasets/emotiw\n","!cp ensemble-scene-scene-pose-audio-face-caption-v1.zip ../drive/'My Drive'/cs231n-project/datasets/emotiw\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["updating: ensemble-scene-scene-pose-audio-face-caption-v1/ (stored 0%)\n","updating: ensemble-scene-scene-pose-audio-face-caption-v1/X_train.npy (deflated 49%)\n","updating: ensemble-scene-scene-pose-audio-face-caption-v1/y_valid.npy (deflated 96%)\n","updating: ensemble-scene-scene-pose-audio-face-caption-v1/y_train.npy (deflated 97%)\n","updating: ensemble-scene-scene-pose-audio-face-caption-v1/X_valid.npy (deflated 49%)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"xGS2rrUIZ_YX","colab_type":"text"},"source":["## Remove the Face!"]},{"cell_type":"code","metadata":{"id":"t74F7g-72k8U","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":312},"outputId":"ae34a3c5-3db6-41cc-efdb-9a347fecdda2"},"source":["!ls"],"execution_count":null,"outputs":[{"output_type":"stream","text":[" data\t\t\t\t\t     train-final-fer.zip\n"," ensemble-scene-pose-audio-v1\t\t     train-final-frames\n"," ensemble-scene-pose-audio-v1.zip\t     train-final-frames.zip\n"," LICENSE\t\t\t\t     train-final-pose\n"," models\t\t\t\t\t     train-final-pose.zip\n"," notebooks\t\t\t\t     Train_labels.txt\n"," README.md\t\t\t\t     val-final-audio\n"," reports\t\t\t\t     val-final-audio.zip\n"," requirements-predictions.txt\t\t     val-final-faces\n"," requirements.txt\t\t\t     val-final-faces.zip\n","'Screen Shot 2020-05-26 at 8.53.32 PM.png'   val-final-fer\n"," src\t\t\t\t\t     val-final-fer.zip\n"," train-final-audio\t\t\t     val-final-frames\n"," train-final-audio.zip\t\t\t     val-final-frames.zip\n"," train-final-faces\t\t\t     val-final-pose\n"," train-final-faces.zip\t\t\t     val-final-pose.zip\n"," train-final-fer\t\t\t     Val_labels.txt\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"SvJo_G-jp8Au","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":187},"executionInfo":{"status":"ok","timestamp":1592980508111,"user_tz":420,"elapsed":11359,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"e241e32d-0054-4ff1-e260-2530f7e3e3f2"},"source":["import numpy as np\n","\n","!cp ../drive/'My Drive'/cs231n-project/datasets/emotiw/ensemble-scene-scene-pose-audio-face-caption-v1.zip .\n","!unzip ensemble-scene-scene-pose-audio-face-caption-v1.zip\n","\n","X_train = np.load(\"ensemble-scene-scene-pose-audio-face-caption-v1/X_train.npy\")\n","y_train = np.load(\"ensemble-scene-scene-pose-audio-face-caption-v1/y_train.npy\")\n","X_valid = np.load(\"ensemble-scene-scene-pose-audio-face-caption-v1/X_valid.npy\")\n","y_valid = np.load(\"ensemble-scene-scene-pose-audio-face-caption-v1/y_valid.npy\")\n","X_train.shape"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Archive:  ensemble-scene-scene-pose-audio-face-caption-v1.zip\n","replace ensemble-scene-scene-pose-audio-face-caption-v1/X_train.npy? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n","  inflating: ensemble-scene-scene-pose-audio-face-caption-v1/X_train.npy  \n","replace ensemble-scene-scene-pose-audio-face-caption-v1/y_valid.npy? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n","  inflating: ensemble-scene-scene-pose-audio-face-caption-v1/y_valid.npy  \n","replace ensemble-scene-scene-pose-audio-face-caption-v1/y_train.npy? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n","  inflating: ensemble-scene-scene-pose-audio-face-caption-v1/y_train.npy  \n","replace ensemble-scene-scene-pose-audio-face-caption-v1/X_valid.npy? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n","  inflating: ensemble-scene-scene-pose-audio-face-caption-v1/X_valid.npy  \n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["(2661, 254)"]},"metadata":{"tags":[]},"execution_count":18}]},{"cell_type":"code","metadata":{"id":"y8rAjjncdrrJ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1592980610929,"user_tz":420,"elapsed":16357,"user":{"displayName":"Tom Jin","photoUrl":"","userId":"10159799883240069996"}},"outputId":"0a01434b-098a-4239-c56c-9aef829156d2"},"source":["#\n","# CONFIGURATION\n","#\n","# Define any constants for the model here\n","#\n","\n","MODEL_NAME = \"ensemble-scene-scene-pose-audio-face-caption-v1\"\n","\n","from pathlib import Path\n","import tensorflow as tf\n","import matplotlib.pyplot as plt\n","\n","sizes = [32, 30, 40, 128, 8, 16]\n","\n","# # UNCOMMENT IF EXCLUDING FER, IMAGE CAP, AND VGG\n","# mask = []\n","# for x in range(sum(sizes)):\n","#     if x >= 32 and x < 62:\n","#         mask.append(False)\n","#     elif x < 230:\n","#         mask.append(True)\n","#     else:\n","#         mask.append(False)\n","\n","# # UNCOMMENT IF EXCLUDING FER, IMAGE CAP, POSE, AND RESNET\n","# mask = []\n","# for x in range(sum(sizes)):\n","#     if x >= 62 and x < 102:\n","#         mask.append(False)\n","#     elif x < 62:\n","#         mask.append(True)\n","#     else:\n","#         mask.append(False)\n","  \n","# # UNCOMMENT IF EXCLUDING FER, AND VGG\n","# mask = []\n","# for x in range(sum(sizes)):\n","#     if x >= 30 and x < 62:\n","#         mask.append(False)\n","#     elif x < 230:\n","#         mask.append(True)\n","#     elif x >= 238:\n","#         mask.append(True)\n","#     else:\n","#         mask.append(False)\n","\n","# UNCOMMENT IF EXCLUDING FER, AND RESNET [best]\n","mask = []\n","for x in range(sum(sizes)):\n","    if x >= 62 and x < 102:\n","        mask.append(False)\n","    elif x < 230:\n","        mask.append(True)\n","    elif x >= 238:\n","        mask.append(True)\n","    else:\n","        mask.append(False)\n","\n","# # UNCOMMENT IF EXCLUDING FER, IMAGE CAP, AND RESNET [best]\n","# mask = []\n","# for x in range(sum(sizes)):\n","#     if x >= 62 and x < 102:\n","#         mask.append(False)\n","#     elif x < 230:\n","#         mask.append(True)\n","#     else:\n","#         mask.append(False)\n","\n","# UNCOMMENT IF EXCLUDING FER AND IMAGE CAP\n","# mask = []\n","# for x in range(sum(sizes)):\n","#     if x < 230:\n","#         mask.append(True)\n","#     else:\n","#         mask.append(False)\n","\n","# # UNCOMMENT IF EXCLUDING FER\n","# mask = []\n","# for x in range(sum(sizes)):\n","#     if x < 230:\n","#         mask.append(True)\n","#     elif x >= 238:\n","#         mask.append(True)\n","#     else:\n","#         mask.append(False)\n","\n","\n","def build_model():\n","    def create_model(inputs):\n","        # x = tf.keras.layers.Dense(hp.Int('units', min_value=8, max_value=128, step=8), activation='relu', kernel_regularizer=tf.keras.regularizers.l2())(inputs)\n","        # x = tf.keras.layers.Dense(8, activation='relu')(inputs)\n","        # x = tf.keras.layers.Dropout(0.3)(x)\n","        x = tf.keras.layers.BatchNormalization()(inputs)\n","        # x = tf.keras.layers.Dense(64, activation='relu')(inputs)\n","        # x = tf.keras.layers.Dropout(0.2)(x)\n","        # x = tf.keras.layers.Dense(32, activation='relu', kernel_regularizer=tf.keras.regularizers.l2(0.001))(x)\n","        x = tf.keras.layers.Dense(64, activation='relu', kernel_regularizer=tf.keras.regularizers.l2(0.02))(x)\n","        x = tf.keras.layers.Dense(3, activation='softmax', kernel_regularizer=tf.keras.regularizers.l2(0.02))(x)\n","\n","        model = tf.keras.Model(inputs=inputs, outputs=x)\n","        model.compile(optimizer=tf.keras.optimizers.Adam(lr=0.0005),\n","                      loss = 'categorical_crossentropy',\n","                      metrics=['accuracy'])\n","        return model\n","\n","    # inputs = tf.keras.Input(shape=(X_train.shape[1]))\n","    inputs = tf.keras.Input(shape=(np.count_nonzero(mask)))\n","    model = create_model(inputs)\n","    # model.summary()\n","    return model\n","\n","Path(f\"drive/My Drive/cs231n-project/models/{MODEL_NAME}\").mkdir(parents=True, exist_ok=True)\n","checkpoint_path = \"drive/My Drive/cs231n-project/models/\" + MODEL_NAME + \"/cp-{epoch:04d}.h5\"\n","cp_callback = tf.keras.callbacks.ModelCheckpoint(\n","    filepath=checkpoint_path, \n","    verbose=1,\n","    save_weights_only=False,\n","    save_best_only=False,\n","    period=1\n",")\n","model = build_model()\n","\n","import pickle\n","history = model.fit(\n","          x=X_train[:, mask],\n","          y=y_train,\n","          epochs=50,\n","          callbacks=[cp_callback],\n","          validation_data=(X_valid[:, mask], y_valid)\n",")\n","\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:`period` argument is deprecated. Please use `save_freq` to specify the frequency in number of batches seen.\n","Epoch 1/50\n","64/84 [=====================>........] - ETA: 0s - loss: 2.6145 - accuracy: 0.7212\n","Epoch 00001: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0001.h5\n","84/84 [==============================] - 0s 5ms/step - loss: 2.5192 - accuracy: 0.7452 - val_loss: 2.5876 - val_accuracy: 0.5783\n","Epoch 2/50\n","81/84 [===========================>..] - ETA: 0s - loss: 1.9260 - accuracy: 0.8237\n","Epoch 00002: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0002.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 1.9196 - accuracy: 0.8241 - val_loss: 2.1562 - val_accuracy: 0.5992\n","Epoch 3/50\n","79/84 [===========================>..] - ETA: 0s - loss: 1.5552 - accuracy: 0.8299\n","Epoch 00003: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0003.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 1.5464 - accuracy: 0.8305 - val_loss: 1.8583 - val_accuracy: 0.5927\n","Epoch 4/50\n","67/84 [======================>.......] - ETA: 0s - loss: 1.3040 - accuracy: 0.8218\n","Epoch 00004: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0004.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 1.2799 - accuracy: 0.8271 - val_loss: 1.6299 - val_accuracy: 0.6031\n","Epoch 5/50\n","82/84 [============================>.] - ETA: 0s - loss: 1.0841 - accuracy: 0.8319\n","Epoch 00005: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0005.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 1.0840 - accuracy: 0.8324 - val_loss: 1.4827 - val_accuracy: 0.6123\n","Epoch 6/50\n","84/84 [==============================] - ETA: 0s - loss: 0.9216 - accuracy: 0.8410\n","Epoch 00006: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0006.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.9216 - accuracy: 0.8410 - val_loss: 1.3739 - val_accuracy: 0.6162\n","Epoch 7/50\n","63/84 [=====================>........] - ETA: 0s - loss: 0.8378 - accuracy: 0.8373\n","Epoch 00007: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0007.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.8274 - accuracy: 0.8365 - val_loss: 1.3120 - val_accuracy: 0.6070\n","Epoch 8/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.7453 - accuracy: 0.8414\n","Epoch 00008: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0008.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.7473 - accuracy: 0.8365 - val_loss: 1.2180 - val_accuracy: 0.6240\n","Epoch 9/50\n","82/84 [============================>.] - ETA: 0s - loss: 0.6905 - accuracy: 0.8373\n","Epoch 00009: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0009.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.6885 - accuracy: 0.8380 - val_loss: 1.1754 - val_accuracy: 0.6162\n","Epoch 10/50\n","83/84 [============================>.] - ETA: 0s - loss: 0.6473 - accuracy: 0.8347\n","Epoch 00010: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0010.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.6475 - accuracy: 0.8346 - val_loss: 1.1163 - val_accuracy: 0.6253\n","Epoch 11/50\n","65/84 [======================>.......] - ETA: 0s - loss: 0.6101 - accuracy: 0.8447\n","Epoch 00011: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0011.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.6123 - accuracy: 0.8380 - val_loss: 1.1268 - val_accuracy: 0.6279\n","Epoch 12/50\n","81/84 [===========================>..] - ETA: 0s - loss: 0.5949 - accuracy: 0.8383\n","Epoch 00012: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0012.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5960 - accuracy: 0.8380 - val_loss: 1.0879 - val_accuracy: 0.6149\n","Epoch 13/50\n","83/84 [============================>.] - ETA: 0s - loss: 0.5671 - accuracy: 0.8430\n","Epoch 00013: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0013.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5670 - accuracy: 0.8429 - val_loss: 1.0649 - val_accuracy: 0.6084\n","Epoch 14/50\n","64/84 [=====================>........] - ETA: 0s - loss: 0.5544 - accuracy: 0.8320\n","Epoch 00014: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0014.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.5550 - accuracy: 0.8354 - val_loss: 1.0630 - val_accuracy: 0.6175\n","Epoch 15/50\n","64/84 [=====================>........] - ETA: 0s - loss: 0.5458 - accuracy: 0.8374\n","Epoch 00015: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0015.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5419 - accuracy: 0.8365 - val_loss: 1.0383 - val_accuracy: 0.6201\n","Epoch 16/50\n","84/84 [==============================] - ETA: 0s - loss: 0.5265 - accuracy: 0.8403\n","Epoch 00016: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0016.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5265 - accuracy: 0.8403 - val_loss: 1.0427 - val_accuracy: 0.6097\n","Epoch 17/50\n","79/84 [===========================>..] - ETA: 0s - loss: 0.5245 - accuracy: 0.8418\n","Epoch 00017: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0017.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5196 - accuracy: 0.8437 - val_loss: 1.0407 - val_accuracy: 0.6227\n","Epoch 18/50\n","65/84 [======================>.......] - ETA: 0s - loss: 0.5210 - accuracy: 0.8346\n","Epoch 00018: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0018.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.5164 - accuracy: 0.8358 - val_loss: 1.0118 - val_accuracy: 0.6149\n","Epoch 19/50\n","78/84 [==========================>...] - ETA: 0s - loss: 0.5185 - accuracy: 0.8365\n","Epoch 00019: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0019.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5167 - accuracy: 0.8384 - val_loss: 1.0181 - val_accuracy: 0.6227\n","Epoch 20/50\n","75/84 [=========================>....] - ETA: 0s - loss: 0.5094 - accuracy: 0.8371\n","Epoch 00020: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0020.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5058 - accuracy: 0.8399 - val_loss: 1.0030 - val_accuracy: 0.6201\n","Epoch 21/50\n","65/84 [======================>.......] - ETA: 0s - loss: 0.5040 - accuracy: 0.8399\n","Epoch 00021: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0021.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.5004 - accuracy: 0.8433 - val_loss: 1.0189 - val_accuracy: 0.6136\n","Epoch 22/50\n","81/84 [===========================>..] - ETA: 0s - loss: 0.5060 - accuracy: 0.8314\n","Epoch 00022: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0022.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.5052 - accuracy: 0.8313 - val_loss: 1.0008 - val_accuracy: 0.6358\n","Epoch 23/50\n","81/84 [===========================>..] - ETA: 0s - loss: 0.4950 - accuracy: 0.8407\n","Epoch 00023: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0023.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4997 - accuracy: 0.8395 - val_loss: 1.0191 - val_accuracy: 0.6070\n","Epoch 24/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4964 - accuracy: 0.8423\n","Epoch 00024: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0024.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4945 - accuracy: 0.8429 - val_loss: 0.9836 - val_accuracy: 0.6070\n","Epoch 25/50\n","65/84 [======================>.......] - ETA: 0s - loss: 0.4787 - accuracy: 0.8457\n","Epoch 00025: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0025.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4911 - accuracy: 0.8392 - val_loss: 1.0044 - val_accuracy: 0.6084\n","Epoch 26/50\n","79/84 [===========================>..] - ETA: 0s - loss: 0.4897 - accuracy: 0.8398\n","Epoch 00026: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0026.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4899 - accuracy: 0.8392 - val_loss: 1.0029 - val_accuracy: 0.6149\n","Epoch 27/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4927 - accuracy: 0.8371\n","Epoch 00027: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0027.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4944 - accuracy: 0.8377 - val_loss: 1.0206 - val_accuracy: 0.6201\n","Epoch 28/50\n","81/84 [===========================>..] - ETA: 0s - loss: 0.4896 - accuracy: 0.8407\n","Epoch 00028: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0028.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4898 - accuracy: 0.8403 - val_loss: 1.0127 - val_accuracy: 0.6031\n","Epoch 29/50\n","81/84 [===========================>..] - ETA: 0s - loss: 0.4777 - accuracy: 0.8507\n","Epoch 00029: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0029.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4793 - accuracy: 0.8478 - val_loss: 1.0308 - val_accuracy: 0.6227\n","Epoch 30/50\n","65/84 [======================>.......] - ETA: 0s - loss: 0.4801 - accuracy: 0.8476\n","Epoch 00030: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0030.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4843 - accuracy: 0.8444 - val_loss: 0.9849 - val_accuracy: 0.6136\n","Epoch 31/50\n","84/84 [==============================] - ETA: 0s - loss: 0.4968 - accuracy: 0.8324\n","Epoch 00031: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0031.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4968 - accuracy: 0.8324 - val_loss: 1.0078 - val_accuracy: 0.6136\n","Epoch 32/50\n","71/84 [========================>.....] - ETA: 0s - loss: 0.4941 - accuracy: 0.8341\n","Epoch 00032: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0032.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4869 - accuracy: 0.8388 - val_loss: 0.9844 - val_accuracy: 0.6201\n","Epoch 33/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4911 - accuracy: 0.8371\n","Epoch 00033: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0033.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4898 - accuracy: 0.8354 - val_loss: 1.0053 - val_accuracy: 0.6227\n","Epoch 34/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4796 - accuracy: 0.8438\n","Epoch 00034: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0034.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4855 - accuracy: 0.8403 - val_loss: 0.9795 - val_accuracy: 0.6253\n","Epoch 35/50\n","83/84 [============================>.] - ETA: 0s - loss: 0.4869 - accuracy: 0.8389\n","Epoch 00035: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0035.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4883 - accuracy: 0.8384 - val_loss: 1.0002 - val_accuracy: 0.6292\n","Epoch 36/50\n","84/84 [==============================] - ETA: 0s - loss: 0.4917 - accuracy: 0.8440\n","Epoch 00036: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0036.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4917 - accuracy: 0.8440 - val_loss: 0.9998 - val_accuracy: 0.6175\n","Epoch 37/50\n","67/84 [======================>.......] - ETA: 0s - loss: 0.4963 - accuracy: 0.8363\n","Epoch 00037: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0037.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4869 - accuracy: 0.8407 - val_loss: 0.9970 - val_accuracy: 0.6070\n","Epoch 38/50\n","83/84 [============================>.] - ETA: 0s - loss: 0.4772 - accuracy: 0.8396\n","Epoch 00038: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0038.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4770 - accuracy: 0.8395 - val_loss: 1.0103 - val_accuracy: 0.6031\n","Epoch 39/50\n","78/84 [==========================>...] - ETA: 0s - loss: 0.4771 - accuracy: 0.8450\n","Epoch 00039: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0039.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4770 - accuracy: 0.8459 - val_loss: 0.9920 - val_accuracy: 0.6253\n","Epoch 40/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4656 - accuracy: 0.8527\n","Epoch 00040: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0040.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4748 - accuracy: 0.8467 - val_loss: 0.9783 - val_accuracy: 0.6097\n","Epoch 41/50\n","82/84 [============================>.] - ETA: 0s - loss: 0.4833 - accuracy: 0.8365\n","Epoch 00041: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0041.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4845 - accuracy: 0.8362 - val_loss: 0.9866 - val_accuracy: 0.6332\n","Epoch 42/50\n","79/84 [===========================>..] - ETA: 0s - loss: 0.4728 - accuracy: 0.8438\n","Epoch 00042: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0042.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4760 - accuracy: 0.8407 - val_loss: 0.9885 - val_accuracy: 0.6123\n","Epoch 43/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4729 - accuracy: 0.8409\n","Epoch 00043: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0043.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4749 - accuracy: 0.8380 - val_loss: 0.9857 - val_accuracy: 0.6097\n","Epoch 44/50\n","64/84 [=====================>........] - ETA: 0s - loss: 0.4830 - accuracy: 0.8394\n","Epoch 00044: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0044.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4811 - accuracy: 0.8407 - val_loss: 0.9920 - val_accuracy: 0.6345\n","Epoch 45/50\n","79/84 [===========================>..] - ETA: 0s - loss: 0.4781 - accuracy: 0.8406\n","Epoch 00045: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0045.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4839 - accuracy: 0.8362 - val_loss: 1.0002 - val_accuracy: 0.6266\n","Epoch 46/50\n","66/84 [======================>.......] - ETA: 0s - loss: 0.4938 - accuracy: 0.8314\n","Epoch 00046: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0046.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4846 - accuracy: 0.8358 - val_loss: 1.0116 - val_accuracy: 0.6057\n","Epoch 47/50\n","82/84 [============================>.] - ETA: 0s - loss: 0.4872 - accuracy: 0.8384\n","Epoch 00047: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0047.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4878 - accuracy: 0.8384 - val_loss: 0.9807 - val_accuracy: 0.6201\n","Epoch 48/50\n","82/84 [============================>.] - ETA: 0s - loss: 0.4842 - accuracy: 0.8426\n","Epoch 00048: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0048.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4836 - accuracy: 0.8429 - val_loss: 0.9868 - val_accuracy: 0.6214\n","Epoch 49/50\n","80/84 [===========================>..] - ETA: 0s - loss: 0.4773 - accuracy: 0.8422\n","Epoch 00049: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0049.h5\n","84/84 [==============================] - 0s 4ms/step - loss: 0.4795 - accuracy: 0.8407 - val_loss: 1.0347 - val_accuracy: 0.6084\n","Epoch 50/50\n","63/84 [=====================>........] - ETA: 0s - loss: 0.4802 - accuracy: 0.8393\n","Epoch 00050: saving model to drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0050.h5\n","84/84 [==============================] - 0s 3ms/step - loss: 0.4793 - accuracy: 0.8354 - val_loss: 1.0162 - val_accuracy: 0.6227\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"MNIpXFdbDQbr","colab_type":"code","colab":{}},"source":["!mkdir \"../drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/\""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"3h84cOcsDGQz","colab_type":"code","colab":{}},"source":["!cp \"drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0034.h5\" \"../drive/My Drive/cs231n-project/models/ensemble-scene-scene-pose-audio-face-caption-v1/cp-0034.h5\""],"execution_count":null,"outputs":[]}]}