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b/notebooks/Deep_EEG_BV.ipynb |
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{ |
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"nbformat": 4, |
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"nbformat_minor": 0, |
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"metadata": { |
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"colab": { |
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"name": "Deep_EEG_BV.ipynb", |
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"version": "0.3.2", |
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"provenance": [], |
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"collapsed_sections": [], |
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"toc_visible": true, |
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"include_colab_link": true |
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}, |
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"kernelspec": { |
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"name": "python3", |
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"display_name": "Python 3" |
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}, |
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"accelerator": "GPU" |
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}, |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"metadata": { |
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"id": "view-in-github", |
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"colab_type": "text" |
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}, |
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"source": [ |
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"<a href=\"https://colab.research.google.com/github/kylemath/DeepEEG/blob/master/notebooks/Deep_EEG_BV.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "dSd-Wr_qBirE", |
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"colab_type": "text" |
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}, |
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"cell_type": "markdown", |
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"source": [ |
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"#Connect to Google Drive\n", |
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"Save your data onto google drive in a folder called \n", |
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"```\n", |
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"/data\n", |
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"```\n" |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "C_4BjLLL6MJ4", |
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"colab_type": "code", |
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"outputId": "333aec93-0751-417e-d7d2-195f3cb6a86a", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 34 |
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} |
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}, |
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"cell_type": "code", |
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"source": [ |
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"#mount google drive to load own images, follow link and get code and paste in below\n", |
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"from google.colab import drive\n", |
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"drive.mount('/content/gdrive', force_remount=True)\n" |
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], |
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"execution_count": 3, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Mounted at /content/gdrive\n" |
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], |
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"name": "stdout" |
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} |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "cH7KRd8ZZPMd", |
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"colab_type": "text" |
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}, |
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"cell_type": "markdown", |
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"source": [ |
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"## DeepEEG\n" |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "KjZu4dFMFHJV", |
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"colab_type": "code", |
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"outputId": "2cb94fc8-fc42-4044-9af0-7f66bbf84903", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 683 |
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} |
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}, |
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"cell_type": "code", |
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"source": [ |
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"!git clone https://github.com/kylemath/DeepEEG\n", |
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"!chmod +x ./DeepEEG/install.sh\n", |
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"%cd DeepEEG\n", |
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"!./install.sh\n", |
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"from utils import *\n", |
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"%matplotlib inline\n", |
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"%cd .." |
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], |
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"execution_count": 4, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"fatal: destination path 'DeepEEG' already exists and is not an empty directory.\n", |
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"/content/DeepEEG\n", |
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"Requirement already up-to-date: pip in /usr/local/lib/python3.6/dist-packages (19.0.3)\n", |
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"Requirement already satisfied: absl-py==0.7.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 1)) (0.7.0)\n", |
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"Requirement already satisfied: astor==0.7.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 2)) (0.7.1)\n", |
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"Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 3)) (0.10.0)\n", |
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"Requirement already satisfied: gast==0.2.2 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 4)) (0.2.2)\n", |
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"Requirement already satisfied: grpcio==1.18.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 5)) (1.18.0)\n", |
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"Requirement already satisfied: h5py==2.9.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 6)) (2.9.0)\n", |
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"Requirement already satisfied: Keras==2.2.4 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 7)) (2.2.4)\n", |
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"Requirement already satisfied: Keras-Applications==1.0.7 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 8)) (1.0.7)\n", |
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"Requirement already satisfied: Keras-Preprocessing==1.0.9 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 9)) (1.0.9)\n", |
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"Requirement already satisfied: kiwisolver==1.0.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 10)) (1.0.1)\n", |
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"Requirement already satisfied: Markdown==3.0.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 11)) (3.0.1)\n", |
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"Requirement already satisfied: matplotlib==3.0.2 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 12)) (3.0.2)\n", |
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"Requirement already satisfied: mne==0.17.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 13)) (0.17.0)\n", |
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"Requirement already satisfied: numpy==1.16.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 14)) (1.16.1)\n", |
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"Requirement already satisfied: pandas==0.24.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 15)) (0.24.1)\n", |
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"Requirement already satisfied: protobuf==3.6.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 16)) (3.6.1)\n", |
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"Requirement already satisfied: pyparsing==2.3.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 17)) (2.3.1)\n", |
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"Requirement already satisfied: python-dateutil==2.8.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 18)) (2.8.0)\n", |
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"Requirement already satisfied: pytz==2018.9 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 19)) (2018.9)\n", |
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"Requirement already satisfied: PyYAML==4.2b1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 20)) (4.2b1)\n", |
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"Requirement already satisfied: scikit-learn==0.20.2 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 21)) (0.20.2)\n", |
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"Requirement already satisfied: scipy==1.2.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 22)) (1.2.0)\n", |
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"Requirement already satisfied: six==1.12.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 23)) (1.12.0)\n", |
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"Requirement already satisfied: sklearn==0.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 24)) (0.0)\n", |
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"Requirement already satisfied: tensorboard==1.12.2 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 25)) (1.12.2)\n", |
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"Requirement already satisfied: tensorflow==1.13.0rc1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 26)) (1.13.0rc1)\n", |
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"Requirement already satisfied: termcolor==1.1.0 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 27)) (1.1.0)\n", |
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"Requirement already satisfied: Werkzeug==0.14.1 in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 28)) (0.14.1)\n", |
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"Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver==1.0.1->-r requirements.txt (line 10)) (40.8.0)\n", |
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"Requirement already satisfied: wheel>=0.26; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from tensorboard==1.12.2->-r requirements.txt (line 25)) (0.33.1)\n", |
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"Requirement already satisfied: tensorflow-estimator<1.14.0rc0,>=1.13.0rc0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.13.0rc1->-r requirements.txt (line 26)) (1.13.0)\n", |
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"Requirement already satisfied: mock>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-estimator<1.14.0rc0,>=1.13.0rc0->tensorflow==1.13.0rc1->-r requirements.txt (line 26)) (2.0.0)\n", |
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"Requirement already satisfied: pbr>=0.11 in /usr/local/lib/python3.6/dist-packages (from mock>=2.0.0->tensorflow-estimator<1.14.0rc0,>=1.13.0rc0->tensorflow==1.13.0rc1->-r requirements.txt (line 26)) (5.1.2)\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Using TensorFlow backend.\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content\n" |
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], |
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"name": "stdout" |
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} |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "FhkDPfIq1ewa", |
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"colab_type": "text" |
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}, |
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"cell_type": "markdown", |
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"source": [ |
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"#Load Data, Preprocess, Concatenate\n" |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "jhU8hlcg1e6T", |
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"colab_type": "code", |
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"outputId": "aa252ce9-ae9f-45db-8c18-a88e1d741a13", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 6327 |
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} |
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}, |
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"cell_type": "code", |
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"source": [ |
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"data_dir = 'gdrive/My Drive/data/'\n", |
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"exp = 'P3'\n", |
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"subs = ['001','002','004','005','006','007','008','010']\n", |
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"#subs = ['002']\n", |
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"sessions = ['ActiveDry','ActiveWet','PassiveWet']\n", |
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"nsesh = len(sessions)\n", |
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"event_id = {'Target':1, 'Standard':2}\n", |
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"\n", |
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"epochs = []\n", |
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"for sub in subs:\n", |
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" print('Loading data for subject ' + sub)\n", |
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" for session in sessions:\n", |
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" #Load Data\n", |
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" raw = LoadBVData(sub,session,data_dir,exp)\n", |
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" #Pre-process EEG data\n", |
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" temp_epochs = PreProcess(raw,event_id,\n", |
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" emcp_epochs=True, rereference=True,\n", |
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" plot_erp=False, rej_thresh_uV=1000,\n", |
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" epoch_time=(-1,2), baseline=(-.2,0),\n", |
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" epoch_decim=1, filter_range=(1,20)\n", |
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" )\n", |
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" if len(temp_epochs) > 0:\n", |
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" epochs.append(temp_epochs)\n", |
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" else:\n", |
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" print('Sub ' + sub + ', Cond ' + \n", |
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" session + 'all trials rejected')\n", |
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"\n", |
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"epochs = concatenate_epochs(epochs)\n" |
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], |
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"execution_count": 5, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Loading data for subject 001\n", |
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"Loading data for subject number: 001\n", |
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"Extracting parameters from gdrive/My Drive/data/P3/001_P3_ActiveDry.vhdr...\n", |
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"Setting channel info structure...\n", |
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"Reading 0 ... 500209 = 0.000 ... 1000.418 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 3', 'Stimulus/S 2', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 5']\n", |
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"Sampling Rate = 500.0\n", |
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"Loading Channel Locations\n", |
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"Rerefering to average mastoid\n", |
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"Filtering Data Between 1 and 20 Hz.\n", |
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"751 events found\n", |
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"Event IDs: [ 1 2 3 4 5 10]\n", |
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"Remaining Trials: 272\n", |
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"Epochs Eye Movement Correct\n", |
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"Loading data for subject number: 001\n", |
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"Extracting parameters from gdrive/My Drive/data/P3/001_P3_ActiveWet.vhdr...\n", |
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"Setting channel info structure...\n", |
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"Reading 0 ... 637129 = 0.000 ... 1274.258 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
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"Sampling Rate = 500.0\n", |
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"Loading Channel Locations\n", |
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266 |
"Rerefering to average mastoid\n", |
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"Filtering Data Between 1 and 20 Hz.\n", |
|
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268 |
"751 events found\n", |
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269 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
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"Remaining Trials: 293\n", |
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"Epochs Eye Movement Correct\n", |
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272 |
"Loading data for subject number: 001\n", |
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"Extracting parameters from gdrive/My Drive/data/P3/001_P3_PassiveWet.vhdr...\n", |
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"Setting channel info structure...\n", |
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"Reading 0 ... 523929 = 0.000 ... 1047.858 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 3', 'Stimulus/S 2', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 5']\n", |
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291 |
"Sampling Rate = 500.0\n", |
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292 |
"Loading Channel Locations\n", |
|
|
293 |
"Rerefering to average mastoid\n", |
|
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294 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
295 |
"751 events found\n", |
|
|
296 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
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297 |
"Remaining Trials: 281\n", |
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298 |
"Epochs Eye Movement Correct\n", |
|
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299 |
"Loading data for subject 002\n", |
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300 |
"Loading data for subject number: 002\n", |
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301 |
"Extracting parameters from gdrive/My Drive/data/P3/002_P3_ActiveDry.vhdr...\n", |
|
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302 |
"Setting channel info structure...\n", |
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"Reading 0 ... 490009 = 0.000 ... 980.018 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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318 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 3', 'Stimulus/S 2', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 5']\n", |
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319 |
"Sampling Rate = 500.0\n", |
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320 |
"Loading Channel Locations\n", |
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"Rerefering to average mastoid\n", |
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"Filtering Data Between 1 and 20 Hz.\n", |
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323 |
"751 events found\n", |
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|
324 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
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325 |
"Remaining Trials: 281\n", |
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326 |
"Epochs Eye Movement Correct\n", |
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327 |
"Loading data for subject number: 002\n", |
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"Extracting parameters from gdrive/My Drive/data/P3/002_P3_ActiveWet.vhdr...\n", |
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"Setting channel info structure...\n", |
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"Reading 0 ... 487989 = 0.000 ... 975.978 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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345 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 3', 'Stimulus/S 2', 'Stimulus/S 4', 'Stimulus/S 5', 'Stimulus/S 1']\n", |
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346 |
"Sampling Rate = 500.0\n", |
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347 |
"Loading Channel Locations\n", |
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348 |
"Rerefering to average mastoid\n", |
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|
349 |
"Filtering Data Between 1 and 20 Hz.\n", |
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350 |
"751 events found\n", |
|
|
351 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
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352 |
"Remaining Trials: 290\n", |
|
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353 |
"Epochs Eye Movement Correct\n", |
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354 |
"Loading data for subject number: 002\n", |
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"Extracting parameters from gdrive/My Drive/data/P3/002_P3_PassiveWet.vhdr...\n", |
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"Setting channel info structure...\n", |
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"Reading 0 ... 543139 = 0.000 ... 1086.278 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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372 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
373 |
"Sampling Rate = 500.0\n", |
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374 |
"Loading Channel Locations\n", |
|
|
375 |
"Rerefering to average mastoid\n", |
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|
376 |
"Filtering Data Between 1 and 20 Hz.\n", |
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|
377 |
"751 events found\n", |
|
|
378 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
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379 |
"Remaining Trials: 293\n", |
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"Epochs Eye Movement Correct\n", |
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|
381 |
"Loading data for subject 004\n", |
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382 |
"Loading data for subject number: 004\n", |
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"Extracting parameters from gdrive/My Drive/data/P3/004_P3_ActiveDry.vhdr...\n", |
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"Setting channel info structure...\n", |
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"Reading 0 ... 643389 = 0.000 ... 1286.778 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
401 |
"Sampling Rate = 500.0\n", |
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|
402 |
"Loading Channel Locations\n", |
|
|
403 |
"Rerefering to average mastoid\n", |
|
|
404 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
405 |
"751 events found\n", |
|
|
406 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
407 |
"Remaining Trials: 293\n", |
|
|
408 |
"Epochs Eye Movement Correct\n", |
|
|
409 |
"Loading data for subject number: 004\n", |
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|
410 |
"Extracting parameters from gdrive/My Drive/data/P3/004_P3_ActiveWet.vhdr...\n", |
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411 |
"Setting channel info structure...\n", |
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"Reading 0 ... 549039 = 0.000 ... 1098.078 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
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" preload=True,stim_channel=stim_channel)\n" |
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], |
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"name": "stderr" |
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}, |
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{ |
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"output_type": "stream", |
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|
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"text": [ |
|
|
427 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
428 |
"Sampling Rate = 500.0\n", |
|
|
429 |
"Loading Channel Locations\n", |
|
|
430 |
"Rerefering to average mastoid\n", |
|
|
431 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
432 |
"751 events found\n", |
|
|
433 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
434 |
"Remaining Trials: 293\n", |
|
|
435 |
"Epochs Eye Movement Correct\n", |
|
|
436 |
"Loading data for subject number: 004\n", |
|
|
437 |
"Extracting parameters from gdrive/My Drive/data/P3/004_P3_PassiveWet.vhdr...\n", |
|
|
438 |
"Setting channel info structure...\n", |
|
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439 |
"Reading 0 ... 514149 = 0.000 ... 1028.298 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
447 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
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], |
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"name": "stderr" |
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}, |
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|
451 |
{ |
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452 |
"output_type": "stream", |
|
|
453 |
"text": [ |
|
|
454 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
455 |
"Sampling Rate = 500.0\n", |
|
|
456 |
"Loading Channel Locations\n", |
|
|
457 |
"Rerefering to average mastoid\n", |
|
|
458 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
459 |
"751 events found\n", |
|
|
460 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
461 |
"Remaining Trials: 293\n", |
|
|
462 |
"Epochs Eye Movement Correct\n", |
|
|
463 |
"Loading data for subject 005\n", |
|
|
464 |
"Loading data for subject number: 005\n", |
|
|
465 |
"Extracting parameters from gdrive/My Drive/data/P3/005_P3_ActiveDry.vhdr...\n", |
|
|
466 |
"Setting channel info structure...\n", |
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|
467 |
"Reading 0 ... 489499 = 0.000 ... 978.998 secs...\n" |
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], |
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469 |
"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
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" preload=True,stim_channel=stim_channel)\n" |
|
|
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], |
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"name": "stderr" |
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}, |
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|
479 |
{ |
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|
480 |
"output_type": "stream", |
|
|
481 |
"text": [ |
|
|
482 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 5', 'Stimulus/S 2', 'Stimulus/S 3', 'Stimulus/S 4']\n", |
|
|
483 |
"Sampling Rate = 500.0\n", |
|
|
484 |
"Loading Channel Locations\n", |
|
|
485 |
"Rerefering to average mastoid\n", |
|
|
486 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
487 |
"751 events found\n", |
|
|
488 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
489 |
"Remaining Trials: 333\n", |
|
|
490 |
"Epochs Eye Movement Correct\n", |
|
|
491 |
"Loading data for subject number: 005\n", |
|
|
492 |
"Extracting parameters from gdrive/My Drive/data/P3/005_P3_ActiveWet.vhdr...\n", |
|
|
493 |
"Setting channel info structure...\n", |
|
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494 |
"Reading 0 ... 489169 = 0.000 ... 978.338 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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|
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"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
502 |
" preload=True,stim_channel=stim_channel)\n" |
|
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], |
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"name": "stderr" |
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}, |
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|
506 |
{ |
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|
507 |
"output_type": "stream", |
|
|
508 |
"text": [ |
|
|
509 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 5', 'Stimulus/S 3', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2']\n", |
|
|
510 |
"Sampling Rate = 500.0\n", |
|
|
511 |
"Loading Channel Locations\n", |
|
|
512 |
"Rerefering to average mastoid\n", |
|
|
513 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
514 |
"751 events found\n", |
|
|
515 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
516 |
"Remaining Trials: 302\n", |
|
|
517 |
"Epochs Eye Movement Correct\n", |
|
|
518 |
"Loading data for subject number: 005\n", |
|
|
519 |
"Extracting parameters from gdrive/My Drive/data/P3/005_P3_PassiveWet.vhdr...\n", |
|
|
520 |
"Setting channel info structure...\n", |
|
|
521 |
"Reading 0 ... 522609 = 0.000 ... 1045.218 secs...\n" |
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], |
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"name": "stdout" |
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}, |
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{ |
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"output_type": "stream", |
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527 |
"text": [ |
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"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
529 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
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], |
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|
531 |
"name": "stderr" |
|
|
532 |
}, |
|
|
533 |
{ |
|
|
534 |
"output_type": "stream", |
|
|
535 |
"text": [ |
|
|
536 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 3', 'Stimulus/S 2', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 5']\n", |
|
|
537 |
"Sampling Rate = 500.0\n", |
|
|
538 |
"Loading Channel Locations\n", |
|
|
539 |
"Rerefering to average mastoid\n", |
|
|
540 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
541 |
"751 events found\n", |
|
|
542 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
543 |
"Remaining Trials: 281\n", |
|
|
544 |
"Epochs Eye Movement Correct\n", |
|
|
545 |
"Loading data for subject 006\n", |
|
|
546 |
"Loading data for subject number: 006\n", |
|
|
547 |
"Extracting parameters from gdrive/My Drive/data/P3/006_P3_ActiveDry.vhdr...\n", |
|
|
548 |
"Setting channel info structure...\n", |
|
|
549 |
"Reading 0 ... 574439 = 0.000 ... 1148.878 secs...\n" |
|
|
550 |
], |
|
|
551 |
"name": "stdout" |
|
|
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}, |
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|
553 |
{ |
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|
554 |
"output_type": "stream", |
|
|
555 |
"text": [ |
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556 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
557 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
558 |
], |
|
|
559 |
"name": "stderr" |
|
|
560 |
}, |
|
|
561 |
{ |
|
|
562 |
"output_type": "stream", |
|
|
563 |
"text": [ |
|
|
564 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
565 |
"Sampling Rate = 500.0\n", |
|
|
566 |
"Loading Channel Locations\n", |
|
|
567 |
"Rerefering to average mastoid\n", |
|
|
568 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
569 |
"751 events found\n", |
|
|
570 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
571 |
"Remaining Trials: 290\n", |
|
|
572 |
"Epochs Eye Movement Correct\n", |
|
|
573 |
"Loading data for subject number: 006\n", |
|
|
574 |
"Extracting parameters from gdrive/My Drive/data/P3/006_P3_ActiveWet.vhdr...\n", |
|
|
575 |
"Setting channel info structure...\n", |
|
|
576 |
"Reading 0 ... 493579 = 0.000 ... 987.158 secs...\n" |
|
|
577 |
], |
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|
578 |
"name": "stdout" |
|
|
579 |
}, |
|
|
580 |
{ |
|
|
581 |
"output_type": "stream", |
|
|
582 |
"text": [ |
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|
583 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
584 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
585 |
], |
|
|
586 |
"name": "stderr" |
|
|
587 |
}, |
|
|
588 |
{ |
|
|
589 |
"output_type": "stream", |
|
|
590 |
"text": [ |
|
|
591 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
592 |
"Sampling Rate = 500.0\n", |
|
|
593 |
"Loading Channel Locations\n", |
|
|
594 |
"Rerefering to average mastoid\n", |
|
|
595 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
596 |
"751 events found\n", |
|
|
597 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
598 |
"Remaining Trials: 293\n", |
|
|
599 |
"Epochs Eye Movement Correct\n", |
|
|
600 |
"Loading data for subject number: 006\n", |
|
|
601 |
"Extracting parameters from gdrive/My Drive/data/P3/006_P3_PassiveWet.vhdr...\n", |
|
|
602 |
"Setting channel info structure...\n", |
|
|
603 |
"Reading 0 ... 1977349 = 0.000 ... 3954.698 secs...\n" |
|
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604 |
], |
|
|
605 |
"name": "stdout" |
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606 |
}, |
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|
607 |
{ |
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|
608 |
"output_type": "stream", |
|
|
609 |
"text": [ |
|
|
610 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
611 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
612 |
], |
|
|
613 |
"name": "stderr" |
|
|
614 |
}, |
|
|
615 |
{ |
|
|
616 |
"output_type": "stream", |
|
|
617 |
"text": [ |
|
|
618 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
619 |
"Sampling Rate = 500.0\n", |
|
|
620 |
"Loading Channel Locations\n", |
|
|
621 |
"Rerefering to average mastoid\n", |
|
|
622 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
623 |
"751 events found\n", |
|
|
624 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
625 |
"Remaining Trials: 293\n", |
|
|
626 |
"Epochs Eye Movement Correct\n", |
|
|
627 |
"Loading data for subject 007\n", |
|
|
628 |
"Loading data for subject number: 007\n", |
|
|
629 |
"Extracting parameters from gdrive/My Drive/data/P3/007_P3_ActiveDry.vhdr...\n", |
|
|
630 |
"Setting channel info structure...\n", |
|
|
631 |
"Reading 0 ... 485409 = 0.000 ... 970.818 secs...\n" |
|
|
632 |
], |
|
|
633 |
"name": "stdout" |
|
|
634 |
}, |
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|
635 |
{ |
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|
636 |
"output_type": "stream", |
|
|
637 |
"text": [ |
|
|
638 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
639 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
640 |
], |
|
|
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"name": "stderr" |
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|
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}, |
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|
643 |
{ |
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|
644 |
"output_type": "stream", |
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645 |
"text": [ |
|
|
646 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
647 |
"Sampling Rate = 500.0\n", |
|
|
648 |
"Loading Channel Locations\n", |
|
|
649 |
"Rerefering to average mastoid\n", |
|
|
650 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
651 |
"751 events found\n", |
|
|
652 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
653 |
"Remaining Trials: 291\n", |
|
|
654 |
"Epochs Eye Movement Correct\n", |
|
|
655 |
"Loading data for subject number: 007\n", |
|
|
656 |
"Extracting parameters from gdrive/My Drive/data/P3/007_P3_ActiveWet.vhdr...\n", |
|
|
657 |
"Setting channel info structure...\n", |
|
|
658 |
"Reading 0 ... 493509 = 0.000 ... 987.018 secs...\n" |
|
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659 |
], |
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660 |
"name": "stdout" |
|
|
661 |
}, |
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|
662 |
{ |
|
|
663 |
"output_type": "stream", |
|
|
664 |
"text": [ |
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|
665 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
666 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
667 |
], |
|
|
668 |
"name": "stderr" |
|
|
669 |
}, |
|
|
670 |
{ |
|
|
671 |
"output_type": "stream", |
|
|
672 |
"text": [ |
|
|
673 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3', 'Stimulus/S255']\n", |
|
|
674 |
"Sampling Rate = 500.0\n", |
|
|
675 |
"Loading Channel Locations\n", |
|
|
676 |
"Rerefering to average mastoid\n", |
|
|
677 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
678 |
"752 events found\n", |
|
|
679 |
"Event IDs: [ 1 2 3 4 5 10 255]\n", |
|
|
680 |
"Remaining Trials: 293\n", |
|
|
681 |
"Epochs Eye Movement Correct\n", |
|
|
682 |
"Loading data for subject number: 007\n", |
|
|
683 |
"Extracting parameters from gdrive/My Drive/data/P3/007_P3_PassiveWet.vhdr...\n", |
|
|
684 |
"Setting channel info structure...\n", |
|
|
685 |
"Reading 0 ... 489679 = 0.000 ... 979.358 secs...\n" |
|
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686 |
], |
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|
687 |
"name": "stdout" |
|
|
688 |
}, |
|
|
689 |
{ |
|
|
690 |
"output_type": "stream", |
|
|
691 |
"text": [ |
|
|
692 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
693 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
694 |
], |
|
|
695 |
"name": "stderr" |
|
|
696 |
}, |
|
|
697 |
{ |
|
|
698 |
"output_type": "stream", |
|
|
699 |
"text": [ |
|
|
700 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 3', 'Stimulus/S 2', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 5']\n", |
|
|
701 |
"Sampling Rate = 500.0\n", |
|
|
702 |
"Loading Channel Locations\n", |
|
|
703 |
"Rerefering to average mastoid\n", |
|
|
704 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
705 |
"751 events found\n", |
|
|
706 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
707 |
"Remaining Trials: 281\n", |
|
|
708 |
"Epochs Eye Movement Correct\n", |
|
|
709 |
"Loading data for subject 008\n", |
|
|
710 |
"Loading data for subject number: 008\n", |
|
|
711 |
"Extracting parameters from gdrive/My Drive/data/P3/008_P3_ActiveDry.vhdr...\n", |
|
|
712 |
"Setting channel info structure...\n", |
|
|
713 |
"Reading 0 ... 513759 = 0.000 ... 1027.518 secs...\n" |
|
|
714 |
], |
|
|
715 |
"name": "stdout" |
|
|
716 |
}, |
|
|
717 |
{ |
|
|
718 |
"output_type": "stream", |
|
|
719 |
"text": [ |
|
|
720 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
721 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
722 |
], |
|
|
723 |
"name": "stderr" |
|
|
724 |
}, |
|
|
725 |
{ |
|
|
726 |
"output_type": "stream", |
|
|
727 |
"text": [ |
|
|
728 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
729 |
"Sampling Rate = 500.0\n", |
|
|
730 |
"Loading Channel Locations\n", |
|
|
731 |
"Rerefering to average mastoid\n", |
|
|
732 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
733 |
"751 events found\n", |
|
|
734 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
735 |
"Remaining Trials: 288\n", |
|
|
736 |
"Epochs Eye Movement Correct\n", |
|
|
737 |
"Loading data for subject number: 008\n", |
|
|
738 |
"Extracting parameters from gdrive/My Drive/data/P3/008_P3_ActiveWet.vhdr...\n", |
|
|
739 |
"Setting channel info structure...\n", |
|
|
740 |
"Reading 0 ... 516679 = 0.000 ... 1033.358 secs...\n" |
|
|
741 |
], |
|
|
742 |
"name": "stdout" |
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|
743 |
}, |
|
|
744 |
{ |
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|
745 |
"output_type": "stream", |
|
|
746 |
"text": [ |
|
|
747 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
748 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
749 |
], |
|
|
750 |
"name": "stderr" |
|
|
751 |
}, |
|
|
752 |
{ |
|
|
753 |
"output_type": "stream", |
|
|
754 |
"text": [ |
|
|
755 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
756 |
"Sampling Rate = 500.0\n", |
|
|
757 |
"Loading Channel Locations\n", |
|
|
758 |
"Rerefering to average mastoid\n", |
|
|
759 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
760 |
"751 events found\n", |
|
|
761 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
762 |
"Remaining Trials: 293\n", |
|
|
763 |
"Epochs Eye Movement Correct\n", |
|
|
764 |
"Loading data for subject number: 008\n", |
|
|
765 |
"Extracting parameters from gdrive/My Drive/data/P3/008_P3_PassiveWet.vhdr...\n", |
|
|
766 |
"Setting channel info structure...\n", |
|
|
767 |
"Reading 0 ... 498499 = 0.000 ... 996.998 secs...\n" |
|
|
768 |
], |
|
|
769 |
"name": "stdout" |
|
|
770 |
}, |
|
|
771 |
{ |
|
|
772 |
"output_type": "stream", |
|
|
773 |
"text": [ |
|
|
774 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
775 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
776 |
], |
|
|
777 |
"name": "stderr" |
|
|
778 |
}, |
|
|
779 |
{ |
|
|
780 |
"output_type": "stream", |
|
|
781 |
"text": [ |
|
|
782 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
783 |
"Sampling Rate = 500.0\n", |
|
|
784 |
"Loading Channel Locations\n", |
|
|
785 |
"Rerefering to average mastoid\n", |
|
|
786 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
787 |
"751 events found\n", |
|
|
788 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
789 |
"Remaining Trials: 293\n", |
|
|
790 |
"Epochs Eye Movement Correct\n", |
|
|
791 |
"Loading data for subject 010\n", |
|
|
792 |
"Loading data for subject number: 010\n", |
|
|
793 |
"Extracting parameters from gdrive/My Drive/data/P3/010_P3_ActiveDry.vhdr...\n", |
|
|
794 |
"Setting channel info structure...\n", |
|
|
795 |
"Reading 0 ... 566939 = 0.000 ... 1133.878 secs...\n" |
|
|
796 |
], |
|
|
797 |
"name": "stdout" |
|
|
798 |
}, |
|
|
799 |
{ |
|
|
800 |
"output_type": "stream", |
|
|
801 |
"text": [ |
|
|
802 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
803 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
804 |
], |
|
|
805 |
"name": "stderr" |
|
|
806 |
}, |
|
|
807 |
{ |
|
|
808 |
"output_type": "stream", |
|
|
809 |
"text": [ |
|
|
810 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 1', 'Stimulus/S 4', 'Stimulus/S 2', 'Stimulus/S 5', 'Stimulus/S 3']\n", |
|
|
811 |
"Sampling Rate = 500.0\n", |
|
|
812 |
"Loading Channel Locations\n", |
|
|
813 |
"Rerefering to average mastoid\n", |
|
|
814 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
815 |
"751 events found\n", |
|
|
816 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
817 |
"Remaining Trials: 293\n", |
|
|
818 |
"Epochs Eye Movement Correct\n", |
|
|
819 |
"Loading data for subject number: 010\n", |
|
|
820 |
"Extracting parameters from gdrive/My Drive/data/P3/010_P3_ActiveWet.vhdr...\n", |
|
|
821 |
"Setting channel info structure...\n", |
|
|
822 |
"Reading 0 ... 499139 = 0.000 ... 998.278 secs...\n" |
|
|
823 |
], |
|
|
824 |
"name": "stdout" |
|
|
825 |
}, |
|
|
826 |
{ |
|
|
827 |
"output_type": "stream", |
|
|
828 |
"text": [ |
|
|
829 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
830 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
831 |
], |
|
|
832 |
"name": "stderr" |
|
|
833 |
}, |
|
|
834 |
{ |
|
|
835 |
"output_type": "stream", |
|
|
836 |
"text": [ |
|
|
837 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 5', 'Stimulus/S 1', 'Stimulus/S 3', 'Stimulus/S 4', 'Stimulus/S 2']\n", |
|
|
838 |
"Sampling Rate = 500.0\n", |
|
|
839 |
"Loading Channel Locations\n", |
|
|
840 |
"Rerefering to average mastoid\n", |
|
|
841 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
842 |
"751 events found\n", |
|
|
843 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
844 |
"Remaining Trials: 295\n", |
|
|
845 |
"Epochs Eye Movement Correct\n", |
|
|
846 |
"Loading data for subject number: 010\n", |
|
|
847 |
"Extracting parameters from gdrive/My Drive/data/P3/010_P3_PassiveWet.vhdr...\n", |
|
|
848 |
"Setting channel info structure...\n", |
|
|
849 |
"Reading 0 ... 510989 = 0.000 ... 1021.978 secs...\n" |
|
|
850 |
], |
|
|
851 |
"name": "stdout" |
|
|
852 |
}, |
|
|
853 |
{ |
|
|
854 |
"output_type": "stream", |
|
|
855 |
"text": [ |
|
|
856 |
"/content/DeepEEG/utils.py:89: RuntimeWarning: Online software filter detected. Using software filter settings and ignoring hardware values\n", |
|
|
857 |
" preload=True,stim_channel=stim_channel)\n" |
|
|
858 |
], |
|
|
859 |
"name": "stderr" |
|
|
860 |
}, |
|
|
861 |
{ |
|
|
862 |
"output_type": "stream", |
|
|
863 |
"text": [ |
|
|
864 |
"Used Annotations descriptions: ['Stimulus/S 10', 'Stimulus/S 2', 'Stimulus/S 3', 'Stimulus/S 1', 'Stimulus/S 5', 'Stimulus/S 4']\n", |
|
|
865 |
"Sampling Rate = 500.0\n", |
|
|
866 |
"Loading Channel Locations\n", |
|
|
867 |
"Rerefering to average mastoid\n", |
|
|
868 |
"Filtering Data Between 1 and 20 Hz.\n", |
|
|
869 |
"751 events found\n", |
|
|
870 |
"Event IDs: [ 1 2 3 4 5 10]\n", |
|
|
871 |
"Remaining Trials: 291\n", |
|
|
872 |
"Epochs Eye Movement Correct\n", |
|
|
873 |
"6999 matching events found\n", |
|
|
874 |
"Applying baseline correction (mode: mean)\n" |
|
|
875 |
], |
|
|
876 |
"name": "stdout" |
|
|
877 |
} |
|
|
878 |
] |
|
|
879 |
}, |
|
|
880 |
{ |
|
|
881 |
"metadata": { |
|
|
882 |
"id": "pwqD_voiDypa", |
|
|
883 |
"colab_type": "text" |
|
|
884 |
}, |
|
|
885 |
"cell_type": "markdown", |
|
|
886 |
"source": [ |
|
|
887 |
"#Run FeatureEngineer\n", |
|
|
888 |
"\n", |
|
|
889 |
"epochs, model_type='NN',\n", |
|
|
890 |
"frequency_domain=False,\n", |
|
|
891 |
"normalization=True, electrode_median=False,\n", |
|
|
892 |
"wavelet_decim=1,flims=(3,30),\n", |
|
|
893 |
"f_bins=20,wave_cycles=3,\n", |
|
|
894 |
"spect_baseline=[-1,-.5],\n", |
|
|
895 |
"electrodes_out=[11,12,13,14,15],\n", |
|
|
896 |
"test_split = 0.2, val_split = 0.2,\n", |
|
|
897 |
"random_seed=1017, watermark = False" |
|
|
898 |
] |
|
|
899 |
}, |
|
|
900 |
{ |
|
|
901 |
"metadata": { |
|
|
902 |
"id": "i_jYlTW1A6sb", |
|
|
903 |
"colab_type": "code", |
|
|
904 |
"outputId": "ae19af92-ba99-4438-956c-e37ac4131b3a", |
|
|
905 |
"colab": { |
|
|
906 |
"base_uri": "https://localhost:8080/", |
|
|
907 |
"height": 238 |
|
|
908 |
} |
|
|
909 |
}, |
|
|
910 |
"cell_type": "code", |
|
|
911 |
"source": [ |
|
|
912 |
"feats = FeatureEngineer(epochs,model_type='NN',\n", |
|
|
913 |
" electrode_median=True,\n", |
|
|
914 |
" frequency_domain=False)" |
|
|
915 |
], |
|
|
916 |
"execution_count": 11, |
|
|
917 |
"outputs": [ |
|
|
918 |
{ |
|
|
919 |
"output_type": "stream", |
|
|
920 |
"text": [ |
|
|
921 |
"Constructing Time Domain Features\n", |
|
|
922 |
"Computing Median over electrodes\n", |
|
|
923 |
"Normalizing X\n", |
|
|
924 |
"Combined X Shape: (6999, 1000, 1)\n", |
|
|
925 |
"Combined Y Shape: (6999,)\n", |
|
|
926 |
"Y Example (should be 1s & 0s): [1 0 0 1 0 1 1 1 0 1]\n", |
|
|
927 |
"X Range: -48.29169:43.34039\n", |
|
|
928 |
"Input Shape: (1000, 1)\n", |
|
|
929 |
"x_train shape: (4199, 1000, 1)\n", |
|
|
930 |
"4199 train samples\n", |
|
|
931 |
"1400 test samples\n", |
|
|
932 |
"1400 validation samples\n", |
|
|
933 |
"Class Weights: [0.95605647 1.04817773]\n" |
|
|
934 |
], |
|
|
935 |
"name": "stdout" |
|
|
936 |
} |
|
|
937 |
] |
|
|
938 |
}, |
|
|
939 |
{ |
|
|
940 |
"metadata": { |
|
|
941 |
"id": "9ChMvr-jKp8P", |
|
|
942 |
"colab_type": "text" |
|
|
943 |
}, |
|
|
944 |
"cell_type": "markdown", |
|
|
945 |
"source": [ |
|
|
946 |
"# Run CreateModel" |
|
|
947 |
] |
|
|
948 |
}, |
|
|
949 |
{ |
|
|
950 |
"metadata": { |
|
|
951 |
"id": "HFf3rBbJKqHR", |
|
|
952 |
"colab_type": "code", |
|
|
953 |
"outputId": "dc8bdb38-ad26-46aa-fd6b-242cf3815bd1", |
|
|
954 |
"colab": { |
|
|
955 |
"base_uri": "https://localhost:8080/", |
|
|
956 |
"height": 1040 |
|
|
957 |
} |
|
|
958 |
}, |
|
|
959 |
"cell_type": "code", |
|
|
960 |
"source": [ |
|
|
961 |
"model, _ = CreateModel(feats)" |
|
|
962 |
], |
|
|
963 |
"execution_count": 9, |
|
|
964 |
"outputs": [ |
|
|
965 |
{ |
|
|
966 |
"output_type": "stream", |
|
|
967 |
"text": [ |
|
|
968 |
"Creating LSTM Model\n", |
|
|
969 |
"Input shape: (1000, 1)\n", |
|
|
970 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n", |
|
|
971 |
"Instructions for updating:\n", |
|
|
972 |
"Colocations handled automatically by placer.\n", |
|
|
973 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n", |
|
|
974 |
"Instructions for updating:\n", |
|
|
975 |
"Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n", |
|
|
976 |
"_________________________________________________________________\n", |
|
|
977 |
"Layer (type) Output Shape Param # \n", |
|
|
978 |
"=================================================================\n", |
|
|
979 |
"lstm_1 (LSTM) (None, None, 16) 1152 \n", |
|
|
980 |
"_________________________________________________________________\n", |
|
|
981 |
"batch_normalization_1 (Batch (None, None, 16) 64 \n", |
|
|
982 |
"_________________________________________________________________\n", |
|
|
983 |
"activation_1 (Activation) (None, None, 16) 0 \n", |
|
|
984 |
"_________________________________________________________________\n", |
|
|
985 |
"dropout_1 (Dropout) (None, None, 16) 0 \n", |
|
|
986 |
"_________________________________________________________________\n", |
|
|
987 |
"lstm_2 (LSTM) (None, None, 8) 800 \n", |
|
|
988 |
"_________________________________________________________________\n", |
|
|
989 |
"batch_normalization_2 (Batch (None, None, 8) 32 \n", |
|
|
990 |
"_________________________________________________________________\n", |
|
|
991 |
"activation_2 (Activation) (None, None, 8) 0 \n", |
|
|
992 |
"_________________________________________________________________\n", |
|
|
993 |
"dropout_2 (Dropout) (None, None, 8) 0 \n", |
|
|
994 |
"_________________________________________________________________\n", |
|
|
995 |
"lstm_3 (LSTM) (None, None, 4) 208 \n", |
|
|
996 |
"_________________________________________________________________\n", |
|
|
997 |
"batch_normalization_3 (Batch (None, None, 4) 16 \n", |
|
|
998 |
"_________________________________________________________________\n", |
|
|
999 |
"activation_3 (Activation) (None, None, 4) 0 \n", |
|
|
1000 |
"_________________________________________________________________\n", |
|
|
1001 |
"dropout_3 (Dropout) (None, None, 4) 0 \n", |
|
|
1002 |
"_________________________________________________________________\n", |
|
|
1003 |
"lstm_4 (LSTM) (None, None, 8) 416 \n", |
|
|
1004 |
"_________________________________________________________________\n", |
|
|
1005 |
"batch_normalization_4 (Batch (None, None, 8) 32 \n", |
|
|
1006 |
"_________________________________________________________________\n", |
|
|
1007 |
"activation_4 (Activation) (None, None, 8) 0 \n", |
|
|
1008 |
"_________________________________________________________________\n", |
|
|
1009 |
"dropout_4 (Dropout) (None, None, 8) 0 \n", |
|
|
1010 |
"_________________________________________________________________\n", |
|
|
1011 |
"lstm_5 (LSTM) (None, 16) 1600 \n", |
|
|
1012 |
"_________________________________________________________________\n", |
|
|
1013 |
"batch_normalization_5 (Batch (None, 16) 64 \n", |
|
|
1014 |
"_________________________________________________________________\n", |
|
|
1015 |
"activation_5 (Activation) (None, 16) 0 \n", |
|
|
1016 |
"_________________________________________________________________\n", |
|
|
1017 |
"dropout_5 (Dropout) (None, 16) 0 \n", |
|
|
1018 |
"_________________________________________________________________\n", |
|
|
1019 |
"dense_1 (Dense) (None, 2) 34 \n", |
|
|
1020 |
"_________________________________________________________________\n", |
|
|
1021 |
"activation_6 (Activation) (None, 2) 0 \n", |
|
|
1022 |
"=================================================================\n", |
|
|
1023 |
"Total params: 4,418\n", |
|
|
1024 |
"Trainable params: 4,314\n", |
|
|
1025 |
"Non-trainable params: 104\n", |
|
|
1026 |
"_________________________________________________________________\n" |
|
|
1027 |
], |
|
|
1028 |
"name": "stdout" |
|
|
1029 |
} |
|
|
1030 |
] |
|
|
1031 |
}, |
|
|
1032 |
{ |
|
|
1033 |
"metadata": { |
|
|
1034 |
"id": "-EKBjSapfE4O", |
|
|
1035 |
"colab_type": "text" |
|
|
1036 |
}, |
|
|
1037 |
"cell_type": "markdown", |
|
|
1038 |
"source": [ |
|
|
1039 |
"# TrainTestVal" |
|
|
1040 |
] |
|
|
1041 |
}, |
|
|
1042 |
{ |
|
|
1043 |
"metadata": { |
|
|
1044 |
"id": "u6ize7eJfB3J", |
|
|
1045 |
"colab_type": "code", |
|
|
1046 |
"outputId": "c2486b65-91b9-47ed-dcdb-d6536159d177", |
|
|
1047 |
"colab": { |
|
|
1048 |
"base_uri": "https://localhost:8080/", |
|
|
1049 |
"height": 1017 |
|
|
1050 |
} |
|
|
1051 |
}, |
|
|
1052 |
"cell_type": "code", |
|
|
1053 |
"source": [ |
|
|
1054 |
"TrainTestVal(model, feats)" |
|
|
1055 |
], |
|
|
1056 |
"execution_count": 10, |
|
|
1057 |
"outputs": [ |
|
|
1058 |
{ |
|
|
1059 |
"output_type": "stream", |
|
|
1060 |
"text": [ |
|
|
1061 |
"Training Model:\n", |
|
|
1062 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n", |
|
|
1063 |
"Instructions for updating:\n", |
|
|
1064 |
"Use tf.cast instead.\n", |
|
|
1065 |
"Train on 4199 samples, validate on 1400 samples\n", |
|
|
1066 |
"Epoch 1/20\n", |
|
|
1067 |
"2180/4199 [==============>...............] - ETA: 36:31 - loss: 0.7567 - acc: 0.4972" |
|
|
1068 |
], |
|
|
1069 |
"name": "stdout" |
|
|
1070 |
}, |
|
|
1071 |
{ |
|
|
1072 |
"output_type": "error", |
|
|
1073 |
"ename": "KeyboardInterrupt", |
|
|
1074 |
"evalue": "ignored", |
|
|
1075 |
"traceback": [ |
|
|
1076 |
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", |
|
|
1077 |
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", |
|
|
1078 |
"\u001b[0;32m<ipython-input-10-6afb0c2405f4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mTrainTestVal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeats\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", |
|
|
1079 |
"\u001b[0;32m/content/DeepEEG/utils.py\u001b[0m in \u001b[0;36mTrainTestVal\u001b[0;34m(model, feats, batch_size, train_epochs, show_plots)\u001b[0m\n\u001b[1;32m 868\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 869\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 870\u001b[0;31m \u001b[0mclass_weight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfeats\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclass_weights\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 871\u001b[0m )\n\u001b[1;32m 872\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", |
|
|
1080 |
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)\u001b[0m\n\u001b[1;32m 1037\u001b[0m \u001b[0minitial_epoch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minitial_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1038\u001b[0m \u001b[0msteps_per_epoch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msteps_per_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1039\u001b[0;31m validation_steps=validation_steps)\n\u001b[0m\u001b[1;32m 1040\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1041\u001b[0m def evaluate(self, x=None, y=None,\n", |
|
|
1081 |
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/keras/engine/training_arrays.py\u001b[0m in \u001b[0;36mfit_loop\u001b[0;34m(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)\u001b[0m\n\u001b[1;32m 197\u001b[0m \u001b[0mins_batch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mins_batch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 198\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 199\u001b[0;31m \u001b[0mouts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mins_batch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 200\u001b[0m \u001b[0mouts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mto_list\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mouts\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 201\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_labels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mouts\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
|
|
1082 |
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m 2713\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_legacy_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2714\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2715\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2716\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2717\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mpy_any\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mis_tensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
|
|
1083 |
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m 2673\u001b[0m \u001b[0mfetched\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_callable_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0marray_vals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_metadata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2674\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2675\u001b[0;31m \u001b[0mfetched\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_callable_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0marray_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2676\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfetched\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", |
|
|
1084 |
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1437\u001b[0m ret = tf_session.TF_SessionRunCallable(\n\u001b[1;32m 1438\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatus\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1439\u001b[0;31m run_metadata_ptr)\n\u001b[0m\u001b[1;32m 1440\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1441\u001b[0m \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
|
|
1085 |
"\u001b[0;31mKeyboardInterrupt\u001b[0m: " |
|
|
1086 |
] |
|
|
1087 |
} |
|
|
1088 |
] |
|
|
1089 |
} |
|
|
1090 |
] |
|
|
1091 |
} |