mirror of
https://github.com/gmihaila/ml_things.git
synced 2021-10-04 01:29:04 +03:00
105 lines
2.9 KiB
Plaintext
105 lines
2.9 KiB
Plaintext
{
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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": "wget_google_drive.ipynb",
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"version": "0.3.2",
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"provenance": [],
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"collapsed_sections": [],
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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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},
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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/gmihaila/machine_learning_toolbox/blob/master/wget_google_drive.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": "n-deHoiMAG2b",
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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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"## Downloading file from google drive using wget\n",
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"\n",
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"GitHub Repo: https://github.com/pavanjadhaw/gdown.pl\n",
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"\n",
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"\n",
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"\n",
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"### Get gdown.pl file\n",
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"\n",
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"```\n",
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"wget https://raw.githubusercontent.com/pavanjadhaw/gdown.pl/master/gdown.pl && chmod u+x gdown.pl\n",
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"\n",
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"```\n",
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"\n",
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"### To use if follow this:\n",
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"\n",
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"\n",
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"```\n",
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"./gdown.pl \"link to file\" file.mp4\n",
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"\n",
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"```\n",
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"\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": "ROPy-9Mg_-7l",
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"colab_type": "code",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 71
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},
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"outputId": "2f4a0060-13e0-443f-9e58-923728b4ecff"
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},
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"cell_type": "code",
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"source": [
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"# used to clean console\n",
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"from IPython.display import clear_output\n",
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"\n",
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"# example link: https://drive.google.com/open?id=1mq4pg5Ch1Ypc5Dl5FtuZJkASBCqUojEj\n",
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"\n",
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"print(\"Downloading gdown.pl...\")\n",
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"!wget https://raw.githubusercontent.com/pavanjadhaw/gdown.pl/master/gdown.pl && chmod u+x gdown.pl\n",
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"clear_output()\n",
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"\n",
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"print(\"Downloading google drive file...\")\n",
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"!./gdown.pl \"https://drive.google.com/file/d/1-vycAliFEcTieEnwLyjTbgLvuJPewol0/view\" data.zip\n",
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"clear_output()\n",
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"\n",
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"print(\"Unzip...\")\n",
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"!unzip data.zip\n",
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"clear_output()\n",
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"\n",
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"print(\"Done!\")\n",
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"!ls"
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],
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"execution_count": 22,
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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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"all\t\t\t all.zip\t gdown.pl.2\t polyps_split7.zip\n",
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"All\t\t\t gdown.pl\t labeled_imaged.csv sample_data\n",
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"all_dominos_image+labels.zip gdown.pl.1 polyps_split7\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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} |