{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **App Project**\n",
    "\n",
    "## 1.项目类型介绍\n",
    "\n",
    "  - 应用(App)是由模块组成、有特定功能的软件程序。它能够满足普通用户的直接使用需求，例如航班延误预测应用、夫妻脸应用等。你可以将开发好的App部署到应用市场，其他对你的App感兴趣的人就可以通过api调用的方式使用您的App,也可以通过我们的客户端在手机上进行使用App。\n",
    "  \n",
    "  - 在你开发App的过程中可以引入模块(Module)和数据集(Dataset)来更好的创建你的App。\n",
    "  \n",
    "  - App目录结构:\n",
    "  \n",
    "    - ```results```\n",
    "    *-----结果的文件存放地(如果你运行了job，job运行完的结果文件也会存放于此)*\n",
    "    - ```app_spec.yml```*-----定义你的输入输出，为部署服务*\n",
    "    - ```OVERVIEW.md``` *-----有关这个app的相关介绍*\n",
    "    - `READE.ME` *-----说明文档*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.简单环境介绍\n",
    "\n",
    "Notebook(就是你现在所处的页面)，它是一个在线的类IDE编程环境，内嵌了JupyterLab环境，并且加入数据集和模块的调用功能。我们还在Classroom为初学者提供了机器学习的入门教程。此外我们简化了部署过程，为你提供更便捷的开发流程。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.常用功能介绍\n",
    "\n",
    "- 如何运行代码？\n",
    "\n",
    "在代码单元（cell）里，您可以输入任何代码并执行。\"Shift+Enter/Return\"，代码将被运行，并显示结果。同时切换到新的cell中。\n",
    "\n",
    "- 如何解压上传后的文件？\n",
    "\n",
    "在cell中输入并运行以下命令：\n",
    "```!unzip -o file_name.zip```\n",
    "\n",
    "- 如何查看所有包（package）？\n",
    "\n",
    "`!pip list --format=columns`\n",
    "\n",
    "- 如何检查是否已有某个包？\n",
    "\n",
    "`!pip show package_name`\n",
    "\n",
    "- 如何安装缺失的包？\n",
    "\n",
    "`!pip install package_name`\n",
    "\n",
    "- 如何更新已有的包？\n",
    "\n",
    "`!pip install package_name --upgrade`\n",
    "\n",
    "\n",
    "- 如何使用包？\n",
    "\n",
    "`import package_name`\n",
    "\n",
    "- 如何显示当前目录下的档案及目录？\n",
    "\n",
    "`ls`\n",
    "\n",
    "- 引入的数据集如何使用？\n",
    "\n",
    "数据集项目引入后存放在datasets文件夹下，注意，这个文件夹是只读的，不可修改。如果需要修改，可在notebook中使用\n",
    "\n",
    "`!cp -R ./datasets/<imported_dataset_dir>  ./<your_folder>`\n",
    "\n",
    "指令将其复制到其他文件夹后再编辑，对于引入的数据集中的zip文件，可使用\n",
    "\n",
    "`!unzip ./datasets/<imported_dataset_dir>/<XXX.zip> -d ./<your_folder>`\n",
    "\n",
    "指令解压缩到其他文件夹后使用\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.其他可参考资源\n",
    "\n",
    "- docs: 这是一个[帮助文档](http://docs.momodel.cn/)，基本操作和常见问题都可以在里面找到。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  /home/jovyan/work/chineseocr.zip\n",
      "  End-of-central-directory signature not found.  Either this file is not\n",
      "  a zipfile, or it constitutes one disk of a multi-part archive.  In the\n",
      "  latter case the central directory and zipfile comment will be found on\n",
      "  the last disk(s) of this archive.\n",
      "unzip:  cannot find zipfile directory in one of /home/jovyan/work/chineseocr.zip or\n",
      "        /home/jovyan/work/chineseocr.zip.zip, and cannot find /home/jovyan/work/chineseocr.zip.ZIP, period.\n"
     ]
    }
   ],
   "source": [
    "!unzip  /home/jovyan/work/chineseocr.zip -d /home/jovyan/work"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  chineseocr.zip\n",
      "  End-of-central-directory signature not found.  Either this file is not\n",
      "  a zipfile, or it constitutes one disk of a multi-part archive.  In the\n",
      "  latter case the central directory and zipfile comment will be found on\n",
      "  the last disk(s) of this archive.\n",
      "unzip:  cannot find zipfile directory in one of chineseocr or\n",
      "        chineseocr.zip, and cannot find chineseocr.ZIP, period.\n"
     ]
    }
   ],
   "source": [
    "!unzip -o chineseocr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " '/home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages',\n",
       " '/home/jovyan/work/.localenv/lib/python35.zip',\n",
       " '/home/jovyan/work/.localenv/lib/python3.5',\n",
       " '/home/jovyan/work/.localenv/lib/python3.5/plat-x86_64-linux-gnu',\n",
       " '/home/jovyan/work/.localenv/lib/python3.5/lib-dynload',\n",
       " '/usr/lib/python3.5',\n",
       " '/usr/lib/python3.5/plat-x86_64-linux-gnu',\n",
       " '/home/jovyan/work/.localenv/lib/python3.5/site-packages',\n",
       " '/usr/local/lib/python3.5/dist-packages',\n",
       " '/usr/lib/python3/dist-packages',\n",
       " '/home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages/IPython/extensions',\n",
       " '/home/jovyan/.ipython']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'posixpath' from '/home/jovyan/work/.localenv/lib/python3.5/posixpath.py'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/jovyan/work'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.常用功能介绍\n",
    "\n",
    "- 如何运行代码？\n",
    "\n",
    "在代码单元（cell）里，您可以输入任何代码并执行。\"Shift+Enter/Return\"，代码将被运行，并显示结果。同时切换到新的cell中。\n",
    "\n",
    "- 如何解压上传后的文件？\n",
    "\n",
    "在cell中输入并运行以下命令：\n",
    "```!unzip -o file_name.zip```\n",
    "\n",
    "- 如何查看所有包（package）？\n",
    "\n",
    "`!pip list --format=columns`\n",
    "\n",
    "- 如何检查是否已有某个包？\n",
    "\n",
    "`!pip show package_name`\n",
    "\n",
    "- 如何安装缺失的包？\n",
    "\n",
    "`!pip install package_name`\n",
    "\n",
    "- 如何更新已有的包？\n",
    "\n",
    "`!pip install package_name --upgrade`\n",
    "\n",
    "\n",
    "- 如何使用包？\n",
    "\n",
    "`import package_name`\n",
    "\n",
    "- 如何显示当前目录下的档案及目录？\n",
    "\n",
    "`ls`\n",
    "\n",
    "- 引入的数据集如何使用？\n",
    "\n",
    "数据集项目引入后存放在datasets文件夹下，注意，这个文件夹是只读的，不可修改。如果需要修改，可在notebook中使用\n",
    "\n",
    "`!cp -R ./datasets/<imported_dataset_dir>  ./<your_folder>`\n",
    "\n",
    "指令将其复制到其他文件夹后再编辑，对于引入的数据集中的zip文件，可使用\n",
    "\n",
    "`!unzip ./datasets/<imported_dataset_dir>/<XXX.zip> -d ./<your_folder>`\n",
    "\n",
    "指令解压缩到其他文件夹后使用\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  ./chineseocr-master.zip\n",
      "30e4bea7fb1f1d9a806472baa6677e69afc6ad4e\n",
      "   creating: ./chineseocr-master/\n",
      "  inflating: ./chineseocr-master/.gitignore  \n",
      "  inflating: ./chineseocr-master/.gitmodules  \n",
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      "   creating: ./chineseocr-master/apphelper/\n",
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      "  inflating: ./chineseocr-master/apphelper/image.py  \n",
      "   creating: ./chineseocr-master/application/\n",
      " extracting: ./chineseocr-master/application/README.md  \n",
      " extracting: ./chineseocr-master/application/__init__.py  \n",
      "  inflating: ./chineseocr-master/application/idcard.py  \n",
      "  inflating: ./chineseocr-master/application/trainTicket.py  \n",
      "  inflating: ./chineseocr-master/config.py  \n",
      "   creating: ./chineseocr-master/crnn/\n",
      " extracting: ./chineseocr-master/crnn/__init__.py  \n",
      "  inflating: ./chineseocr-master/crnn/crnn_keras.py  \n",
      "  inflating: ./chineseocr-master/crnn/crnn_torch.py  \n",
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      "  inflating: ./chineseocr-master/model.py  \n",
      "   creating: ./chineseocr-master/models/\n",
      " extracting: ./chineseocr-master/models/README.md  \n",
      "  inflating: ./chineseocr-master/models/text.cfg  \n",
      "  inflating: ./chineseocr-master/models/text.data  \n",
      " extracting: ./chineseocr-master/models/text.names  \n",
      "  inflating: ./chineseocr-master/post-demo.py  \n",
      "  inflating: ./chineseocr-master/requirements.txt  \n",
      "  inflating: ./chineseocr-master/setup-cpu.md  \n",
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      "   creating: ./chineseocr-master/static/\n",
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      "   creating: ./chineseocr-master/static/js/\n",
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      "  inflating: ./chineseocr-master/static/js/jquery.form.js  \n",
      "  inflating: ./chineseocr-master/static/js/jquery.js  \n",
      "   creating: ./chineseocr-master/templates/\n",
      "  inflating: ./chineseocr-master/templates/base.html  \n",
      "  inflating: ./chineseocr-master/templates/ocr.html  \n",
      "  inflating: ./chineseocr-master/test.ipynb  \n",
      "   creating: ./chineseocr-master/test/\n",
      "  inflating: ./chineseocr-master/test/demo.png  \n",
      "  inflating: ./chineseocr-master/test/idcard-demo.jpeg  \n",
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      "  inflating: ./chineseocr-master/test/train-demo.jpg  \n",
      "  inflating: ./chineseocr-master/test/train-demo.png  \n",
      "   creating: ./chineseocr-master/text/\n",
      " extracting: ./chineseocr-master/text/__init__.py  \n",
      "  inflating: ./chineseocr-master/text/darknet_detect.py  \n",
      "   creating: ./chineseocr-master/text/detector/\n",
      " extracting: ./chineseocr-master/text/detector/__init__.py  \n",
      "  inflating: ./chineseocr-master/text/detector/detectors.py  \n",
      "  inflating: ./chineseocr-master/text/detector/text_proposal_connector.py  \n",
      "  inflating: ./chineseocr-master/text/detector/text_proposal_graph_builder.py  \n",
      "   creating: ./chineseocr-master/text/detector/utils/\n",
      " extracting: ./chineseocr-master/text/detector/utils/__init__.py  \n",
      "  inflating: ./chineseocr-master/text/detector/utils/cython_nms.c  \n",
      "  inflating: ./chineseocr-master/text/detector/utils/cython_nms.pyx  \n",
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      "   creating: ./chineseocr-master/tools/\n",
      "  inflating: ./chineseocr-master/tools/pytorch_to_keras.py  \n",
      "   creating: ./chineseocr-master/train/\n",
      " extracting: ./chineseocr-master/train/__init__.py  \n",
      "   creating: ./chineseocr-master/train/darknet/\n",
      "  inflating: ./chineseocr-master/train/darknet/data-ready.py  \n",
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      "   creating: ./chineseocr-master/train/data/\n",
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      "   creating: ./chineseocr-master/train/data/ocr/0/\n",
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      " extracting: ./chineseocr-master/train/data/ocr/0/0.txt  \n",
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      "  inflating: ./chineseocr-master/train/data/text/0/94.xml  \n",
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      "  inflating: ./chineseocr-master/train/data/text/0/95.xml  \n",
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      "  inflating: ./chineseocr-master/train/data/text/0/97.xml  \n",
      "  inflating: ./chineseocr-master/train/data/text/0/98.jpg  \n",
      "  inflating: ./chineseocr-master/train/data/text/0/98.xml  \n",
      "  inflating: ./chineseocr-master/train/data/text/0/99.jpg  \n",
      "  inflating: ./chineseocr-master/train/data/text/0/99.xml  \n",
      "   creating: ./chineseocr-master/train/ocr/\n",
      " extracting: ./chineseocr-master/train/ocr/__init__.py  \n",
      "  inflating: ./chineseocr-master/train/ocr/dataset.py  \n",
      "  inflating: ./chineseocr-master/train/ocr/generic_utils.py  \n",
      "  inflating: ./chineseocr-master/train/ocr/train-ocr.ipynb  \n",
      "   creating: ./chineseocr-master/train/text/\n",
      " extracting: ./chineseocr-master/train/text/__init__.py  \n",
      "  inflating: ./chineseocr-master/train/text/gen_anchors.py  \n",
      "  inflating: ./chineseocr-master/train/text/text-train-icdr2019.ipynb  \n",
      "  inflating: ./chineseocr-master/train/text/text-train.ipynb  \n",
      "  inflating: ./chineseocr-master/train/text/utils.py  \n"
     ]
    }
   ],
   "source": [
    "!unzip ./chineseocr-master.zip -d ./"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://mirrors.ustc.edu.cn/pypi/web/simple\n",
      "Collecting bs4\n",
      "\u001b[33m  Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='mirrors.ustc.edu.cn', port=443): Read timed out. (read timeout=15)\",)': /pypi/web/simple/bs4/\u001b[0m\n",
      "\u001b[33m  Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='mirrors.ustc.edu.cn', port=443): Read timed out. (read timeout=15)\",)': /pypi/web/simple/bs4/\u001b[0m\n",
      "\u001b[33m  Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='mirrors.ustc.edu.cn', port=443): Read timed out. (read timeout=15)\",)': /pypi/web/simple/bs4/\u001b[0m\n",
      "  Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/10/ed/7e8b97591f6f456174139ec089c769f89a94a1a4025fe967691de971f314/bs4-0.0.1.tar.gz\n",
      "Collecting beautifulsoup4 (from bs4)\n",
      "\u001b[?25l  Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/1d/5d/3260694a59df0ec52f8b4883f5d23b130bc237602a1411fa670eae12351e/beautifulsoup4-4.7.1-py3-none-any.whl (94kB)\n",
      "\u001b[K    100% |████████████████████████████████| 102kB 760kB/s a 0:00:011\n",
      "\u001b[?25hCollecting soupsieve>=1.2 (from beautifulsoup4->bs4)\n",
      "\u001b[33m  Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='mirrors.ustc.edu.cn', port=443): Read timed out. (read timeout=15)\",)': /pypi/web/simple/soupsieve/\u001b[0m\n",
      "  Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/b9/a5/7ea40d0f8676bde6e464a6435a48bc5db09b1a8f4f06d41dd997b8f3c616/soupsieve-1.9.1-py2.py3-none-any.whl\n",
      "Requirement already satisfied (use --upgrade to upgrade): soupsieve>=1.2 from https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/b9/a5/7ea40d0f8676bde6e464a6435a48bc5db09b1a8f4f06d41dd997b8f3c616/soupsieve-1.9.1-py2.py3-none-any.whl#sha256=6898e82ecb03772a0d82bd0d0a10c0d6dcc342f77e0701d0ec4a8271be465ece in ./.localenv/lib/python3.5/site-packages (from beautifulsoup4->bs4)\n",
      "Building wheels for collected packages: bs4\n",
      "  Building wheel for bs4 (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Stored in directory: /home/jovyan/.cache/pip/wheels/9d/45/60/69ea65e3482851195c8b66ac6b5a20bb871b34706b2adff360\n",
      "Successfully built bs4\n",
      "Installing collected packages: beautifulsoup4, bs4\n",
      "Successfully installed beautifulsoup4-4.7.1 bs4-0.0.1\n",
      "\u001b[33mYou are using pip version 19.0.3, however version 19.1.1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install bs4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip "
   ]
  }
 ],
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