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hivemind1.ipynb
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"description_width": "",
|
||||
"_view_module": "@jupyter-widgets/base",
|
||||
"_model_module_version": "1.5.0",
|
||||
"_view_count": null,
|
||||
"_view_module_version": "1.2.0",
|
||||
"_model_module": "@jupyter-widgets/controls"
|
||||
}
|
||||
},
|
||||
"15696888463a4d668d7ff7e4f5c93ee3": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_name": "LayoutModel",
|
||||
"state": {
|
||||
"_view_name": "LayoutView",
|
||||
"grid_template_rows": null,
|
||||
"right": null,
|
||||
"justify_content": null,
|
||||
"_view_module": "@jupyter-widgets/base",
|
||||
"overflow": null,
|
||||
"_model_module_version": "1.2.0",
|
||||
"_view_count": null,
|
||||
"flex_flow": null,
|
||||
"width": null,
|
||||
"min_width": null,
|
||||
"border": null,
|
||||
"align_items": null,
|
||||
"bottom": null,
|
||||
"_model_module": "@jupyter-widgets/base",
|
||||
"top": null,
|
||||
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|
||||
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|
||||
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|
||||
"grid_auto_flow": null,
|
||||
"grid_area": null,
|
||||
"grid_template_columns": null,
|
||||
"flex": null,
|
||||
"_model_name": "LayoutModel",
|
||||
"justify_items": null,
|
||||
"grid_row": null,
|
||||
"max_height": null,
|
||||
"align_content": null,
|
||||
"visibility": null,
|
||||
"align_self": null,
|
||||
"height": null,
|
||||
"min_height": null,
|
||||
"padding": null,
|
||||
"grid_auto_rows": null,
|
||||
"grid_gap": null,
|
||||
"max_width": null,
|
||||
"order": null,
|
||||
"_view_module_version": "1.2.0",
|
||||
"grid_template_areas": null,
|
||||
"object_position": null,
|
||||
"object_fit": null,
|
||||
"grid_auto_columns": null,
|
||||
"margin": null,
|
||||
"display": null,
|
||||
"left": null
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"cells": [
|
||||
|
|
@ -49,7 +544,7 @@
|
|||
"metadata": {
|
||||
"id": "VP1EHLddnnsE",
|
||||
"colab_type": "code",
|
||||
"outputId": "376224f1-3c94-4a33-f67c-365cf9b253cd",
|
||||
"outputId": "50c9d266-0e96-439d-d9d4-26140bf49299",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 34
|
||||
|
|
@ -62,7 +557,7 @@
|
|||
"import matplotlib.pyplot as plt\n",
|
||||
"%matplotlib"
|
||||
],
|
||||
"execution_count": 0,
|
||||
"execution_count": 1,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
|
|
@ -144,7 +639,7 @@
|
|||
"metadata": {
|
||||
"id": "WoMb20oCvxY4",
|
||||
"colab_type": "code",
|
||||
"outputId": "27dec63b-cc82-4947-8bec-7a46e508fc8d",
|
||||
"outputId": "15265a3f-127a-4a30-855c-b16d25d7b1ab",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 173
|
||||
|
|
@ -165,7 +660,7 @@
|
|||
"print(\"In Year 2017: \")\n",
|
||||
"print(result.tolist()) #pprint(result.tolist())"
|
||||
],
|
||||
"execution_count": 0,
|
||||
"execution_count": 4,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
|
|
@ -248,7 +743,7 @@
|
|||
"metadata": {
|
||||
"id": "Nhg53virJyIg",
|
||||
"colab_type": "code",
|
||||
"outputId": "7a6fa3d4-5375-4dbd-829e-b8a188720b93",
|
||||
"outputId": "50a6e85c-7c9e-431a-b062-07a457a12390",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 153
|
||||
|
|
@ -269,7 +764,7 @@
|
|||
"print(\"In Year 2017: \")\n",
|
||||
"print(result['Country'].tolist()) "
|
||||
],
|
||||
"execution_count": 0,
|
||||
"execution_count": 6,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
|
|
@ -340,7 +835,7 @@
|
|||
"metadata": {
|
||||
"id": "APYCHnWqoSN4",
|
||||
"colab_type": "code",
|
||||
"outputId": "bd9e0052-c93a-4d43-a7e2-9e1c0a4a0ca0",
|
||||
"outputId": "6ebc9569-259d-4b41-83eb-c16cfd936ccc",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000
|
||||
|
|
@ -377,7 +872,7 @@
|
|||
" result1 = happiest_in_region(df_2017,region)\n",
|
||||
" display(result1.append(result))\n"
|
||||
],
|
||||
"execution_count": 0,
|
||||
"execution_count": 8,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
|
|
@ -3203,6 +3698,19 @@
|
|||
"execution_count": 0,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "2hOy7fcHBpPo",
|
||||
"colab_type": "code",
|
||||
"colab": {}
|
||||
},
|
||||
"source": [
|
||||
""
|
||||
],
|
||||
"execution_count": 0,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
|
|
@ -3218,7 +3726,7 @@
|
|||
"metadata": {
|
||||
"id": "HlJs38zPEfwS",
|
||||
"colab_type": "code",
|
||||
"outputId": "f4769ee7-cece-46b4-80b8-3202974ca850",
|
||||
"outputId": "073448a3-8891-41ad-bcfa-c8e4124ff325",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 80
|
||||
|
|
@ -3232,7 +3740,7 @@
|
|||
"\n",
|
||||
"display(df_unhappy[df_unhappy['Country'].isin(df_happy['Country'])])\n"
|
||||
],
|
||||
"execution_count": 0,
|
||||
"execution_count": 10,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "display_data",
|
||||
|
|
@ -3306,13 +3814,13 @@
|
|||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "IFEbl5VURGal",
|
||||
"id": "EtqKYWLrBqcu",
|
||||
"colab_type": "code",
|
||||
"outputId": "a83746a6-6999-4272-c5a7-bbba3d618278",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 80
|
||||
}
|
||||
},
|
||||
"outputId": "e68e404b-d36b-49db-ce1f-75a0777920e9"
|
||||
},
|
||||
"source": [
|
||||
"## Run this cell ##\n",
|
||||
|
|
@ -3323,7 +3831,7 @@
|
|||
"df_merge['difference'] = df_merge['Happiness.Score'] - df_merge['Happiness Score']\n",
|
||||
"display(df_merge[df_merge['difference'] == df_merge['difference'].min()])"
|
||||
],
|
||||
"execution_count": 0,
|
||||
"execution_count": 11,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "display_data",
|
||||
|
|
@ -3375,6 +3883,294 @@
|
|||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "mDHQGyPGL4DQ",
|
||||
"colab_type": "text"
|
||||
},
|
||||
"source": [
|
||||
"#Task 2\n",
|
||||
"\n",
|
||||
"In the same notebook write the script to download UDF101 and\n",
|
||||
"bring the training dataset in this format: (Labels can be downloaded\n",
|
||||
"from here)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "IFEbl5VURGal",
|
||||
"colab_type": "code",
|
||||
"outputId": "fa004cf9-4ef5-4d0f-b52f-f20ec76b384b",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 136
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"!pip install pyunpack\n",
|
||||
"!pip install patool\n",
|
||||
"!pip install clint"
|
||||
],
|
||||
"execution_count": 12,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Requirement already satisfied: pyunpack in /usr/local/lib/python3.6/dist-packages (0.2.1)\n",
|
||||
"Requirement already satisfied: easyprocess in /usr/local/lib/python3.6/dist-packages (from pyunpack) (0.3)\n",
|
||||
"Requirement already satisfied: entrypoint2 in /usr/local/lib/python3.6/dist-packages (from pyunpack) (0.2.1)\n",
|
||||
"Requirement already satisfied: argparse in /usr/local/lib/python3.6/dist-packages (from entrypoint2->pyunpack) (1.4.0)\n",
|
||||
"Requirement already satisfied: patool in /usr/local/lib/python3.6/dist-packages (1.12)\n",
|
||||
"Requirement already satisfied: clint in /usr/local/lib/python3.6/dist-packages (0.5.1)\n",
|
||||
"Requirement already satisfied: args in /usr/local/lib/python3.6/dist-packages (from clint) (0.1.0)\n"
|
||||
],
|
||||
"name": "stdout"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "y8iOvPEUQpkl",
|
||||
"colab_type": "text"
|
||||
},
|
||||
"source": [
|
||||
"Importing and Downloading the files"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "uVWw1hiQB8dT",
|
||||
"colab_type": "code",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 115,
|
||||
"referenced_widgets": [
|
||||
"f24a2c9e820b4249ab63654b9ef56604",
|
||||
"e4dc73cf71714fd38dd09fd06a8608c7",
|
||||
"652720149f1843cd964a3fae5a32b6d7",
|
||||
"a5b643a5d4db43769c04ded49d2ba09e",
|
||||
"2859a8220b6340fcba1862b35fbe5b91",
|
||||
"cfa563330e4b45cd9a4197bdf9ec6757",
|
||||
"838f5f7533314ade8fa3859ef7f46bf1",
|
||||
"6a30b268827f42e78da55a27979ddf47",
|
||||
"d15b4d02e1d84ce9b218dde279f11c59",
|
||||
"446c92b5b92845249477c60af3f63faf",
|
||||
"d63d7a10beab42179bcd6b4f5a433a49",
|
||||
"771d95358ad64e9c8742e416e61261da",
|
||||
"767d69f1b35e4df8bb4e718772c02b20",
|
||||
"8741b1c90f514abc950d3cdf4d63b5bf",
|
||||
"52f2278bb6f04526a08a75db50680708",
|
||||
"15696888463a4d668d7ff7e4f5c93ee3"
|
||||
]
|
||||
},
|
||||
"outputId": "4429783e-b475-4c92-f131-36186ff751f2"
|
||||
},
|
||||
"source": [
|
||||
"import os\n",
|
||||
"import requests\n",
|
||||
"from tqdm.auto import tqdm\n",
|
||||
"from pyunpack import Archive\n",
|
||||
"from clint.textui import progress\n",
|
||||
"import shutil\n",
|
||||
"\n",
|
||||
"labels_url = \"https://www.crcv.ucf.edu/data/UCF101/UCF101TrainTestSplits-RecognitionTask.zip\"\n",
|
||||
"data_url = \"https://www.crcv.ucf.edu/data/UCF101/UCF101.rar\"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"os.chdir('/content')\n",
|
||||
"\n",
|
||||
"# labels file zip download\n",
|
||||
"r = requests.get(labels_url, stream=True)\n",
|
||||
"file_name = labels_url.split('/')[-1]\n",
|
||||
"with tqdm.wrapattr(open(file_name, \"wb\"), \"write\", miniters=1,\n",
|
||||
" total=int(r.headers.get('content-length', 0)),\n",
|
||||
" desc=file_name) as fout:\n",
|
||||
" for chunk in r.iter_content(chunk_size=4096):\n",
|
||||
" fout.write(chunk)\n",
|
||||
"\n",
|
||||
"os.chdir('/content')\n",
|
||||
"\n",
|
||||
"# data file zip download\n",
|
||||
"r = requests.get(data_url, stream=True)\n",
|
||||
"file_name = data_url.split('/')[-1]\n",
|
||||
"with tqdm.wrapattr(open(file_name, \"wb\"), \"write\", miniters=1,\n",
|
||||
" total=int(r.headers.get('content-length', 0)),\n",
|
||||
" desc=file_name) as fout:\n",
|
||||
" for chunk in r.iter_content(chunk_size=4096):\n",
|
||||
" fout.write(chunk)\n",
|
||||
"\n",
|
||||
" "
|
||||
],
|
||||
"execution_count": 13,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "display_data",
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "f24a2c9e820b4249ab63654b9ef56604",
|
||||
"version_minor": 0,
|
||||
"version_major": 2
|
||||
},
|
||||
"text/plain": [
|
||||
"HBox(children=(FloatProgress(value=0.0, description='UCF101TrainTestSplits-RecognitionTask.zip', max=113943.0,…"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"tags": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\n"
|
||||
],
|
||||
"name": "stdout"
|
||||
},
|
||||
{
|
||||
"output_type": "display_data",
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "d15b4d02e1d84ce9b218dde279f11c59",
|
||||
"version_minor": 0,
|
||||
"version_major": 2
|
||||
},
|
||||
"text/plain": [
|
||||
"HBox(children=(FloatProgress(value=0.0, description='UCF101.rar', max=6932971618.0, style=ProgressStyle(descri…"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"tags": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\n"
|
||||
],
|
||||
"name": "stdout"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "I44l5JdWB82u",
|
||||
"colab_type": "code",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 34
|
||||
},
|
||||
"outputId": "98b60e3a-d51f-4873-86f2-249705942754"
|
||||
},
|
||||
"source": [
|
||||
"try:\n",
|
||||
" Archive('UCF101.rar').extractall('/content')\n",
|
||||
"except Exception:\n",
|
||||
" print('The error is due to inconsistency in the rar to patool extractor The contents are safely extracted.')"
|
||||
],
|
||||
"execution_count": 14,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The error is due to inconsistency in the rar to patool extractor The contents are safely extracted.\n"
|
||||
],
|
||||
"name": "stdout"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "xEM2TjFNMwpR",
|
||||
"colab_type": "code",
|
||||
"colab": {}
|
||||
},
|
||||
"source": [
|
||||
"try:\n",
|
||||
" Archive('UCF101TrainTestSplits-RecognitionTask.zip').extractall('/content')\n",
|
||||
"except Exception:\n",
|
||||
" print('The error is due to inconsistency in the rar to patool extractor The contents are safely extracted.')"
|
||||
],
|
||||
"execution_count": 0,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"metadata": {
|
||||
"id": "dapsXkoAMyZ0",
|
||||
"colab_type": "code",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 51
|
||||
},
|
||||
"outputId": "f879a905-7cd4-452c-a0f7-07b0f8a32e0b"
|
||||
},
|
||||
"source": [
|
||||
"\n",
|
||||
"os.chdir('/content/ucfTrainTestlist')\n",
|
||||
"ucf_file_list = os.listdir()\n",
|
||||
"ucf_temp = ucf_file_list[0:-1]\n",
|
||||
"\n",
|
||||
"#Finding the names of the actions \n",
|
||||
"with open(ucf_file_list[-1],'r') as f:\n",
|
||||
" names = []\n",
|
||||
" for file in f:\n",
|
||||
" res = \"\".join(filter(lambda x: not x.isdigit(), file))\n",
|
||||
" names.append(res.strip().replace('\\n',''))\n",
|
||||
"#Root directory in content folder of the notebook\n",
|
||||
"os.chdir('/content')\n",
|
||||
"os.mkdir('ucf101_result')\n",
|
||||
"\n",
|
||||
"#Creating the subfolders of train and test \n",
|
||||
"os.chdir('/content/ucf101_result')\n",
|
||||
"for subroot in ucf_temp:\n",
|
||||
" subrootname,subrootextension = os.path.splitext(subroot)\n",
|
||||
" os.mkdir(subrootname)\n",
|
||||
"\n",
|
||||
"#Creating names of actions in every train and test folders\n",
|
||||
"os.chdir('/content/ucf101_result')\n",
|
||||
"for subroot in ucf_temp:\n",
|
||||
" subrootname,subrootextension = os.path.splitext(subroot)\n",
|
||||
" os.chdir('/content/ucf101_result/'+subrootname)\n",
|
||||
" for name in names:\n",
|
||||
" os.mkdir(name)\n",
|
||||
"\n",
|
||||
"print(\"File manipulation started... \")\n",
|
||||
"#Loopoing through the videos of UCF-101 to compare with video in the Labels\n",
|
||||
"for name in names:\n",
|
||||
" os.chdir('/content/UCF-101/' + name)\n",
|
||||
" videos = os.listdir()\n",
|
||||
" for video in videos: # video in the UCF-101\n",
|
||||
" for subroot in ucf_temp:\n",
|
||||
" os.chdir('/content/ucfTrainTestlist')\n",
|
||||
" subrootname,subrootextension = os.path.splitext(subroot)\n",
|
||||
" with open(subroot,'r') as f:\n",
|
||||
" for filepath in f:\n",
|
||||
" filename = filepath.split('/')[-1].strip()\n",
|
||||
" if( filename == video): # Comparison \n",
|
||||
" shutil.move('/content/UCF-101/'+name+'/'+video,'/content/ucf101_result/'+subrootname+'/'+name)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"print(\"File manipulation complete.\")"
|
||||
],
|
||||
"execution_count": 16,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"File manipulation started... \n",
|
||||
"File manipulation complete.\n"
|
||||
],
|
||||
"name": "stdout"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
Loading…
Reference in New Issue