deepflash2_GUI.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HZBfaPc51DWL"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/matjesg/deepflash2/blob/master/deepflash2_GUI.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Kdpq2Ivf1DWN"
      },
      "source": [
        "\n",
        "**Welcome to the GUI of *deepflash2*. Read the [paper](https://arxiv.org/abs/2111.06693), watch the [tutorials](https://matjesg.github.io/deepflash2/tutorial.html), or read the [docs](https://matjesg.github.io/deepflash2/).**\n",
        "\n",
        "If you have questions or suggestions, feel free to open an issue at https://github.com/matjesg/deepflash2 -- if you encounter an error, please provide the full logs located at user’s home directory `~/.deepflash2/logs`\n",
        "\n",
        "If you're working on [Google Colab](https://colab.research.google.com):\n",
        "- Use Google Chrome or Firefox for full functionality\n",
        "- Select 'Runtime' -> 'Change runtime time' -> Hardware accelerator\n",
        "'GPU' before running the notebook.\n",
        "- Connect to your [Google Drive](https://drive.google.com/drive/my-drive) to quickly access your data. Select a project folder within your Google Drive to **automatically save** the trained models.\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "Dj6OsYdz1DWO"
      },
      "outputs": [],
      "source": [
        "#@title Set up environment\n",
        "#@markdown Please run this cell to get started (~1 minute)\n",
        "from IPython.display import clear_output, HTML\n",
        "#!pip install -Uqq deepflash2\n",
        "!pip install -Uqq git+https://github.com/matjesg/deepflash2.git@master\n",
        "import deepflash2\n",
        "from deepflash2.gui import GUI, _connect_to_drive\n",
        "clear_output(wait=True)\n",
        "display(HTML(f'Using deepflash2 version {deepflash2.__version__}'))\n",
        "path=_connect_to_drive()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "4x0IptpO1DWP"
      },
      "outputs": [],
      "source": [
        "#@title Start deepflash2 GUI\n",
        "#@markdown If something goes wrong, click\n",
        "#@markdown Click \"Runtime\" -> \"Factory Reset Runtime\" (on Colab) or \n",
        "#@markdown \"Kernel\" -> \"Restart Kernel\" (Jupyter) and start over!\n",
        "t = GUI(path);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "qDZJRujV1DWP"
      },
      "outputs": [],
      "source": [
        "#@markdown  On [Google Colab](https://colab.research.google.com): Run this cell during training/prediction to avoid a disconnect. Stop execution to continue.\n",
        "try: \n",
        "  while True: pass\n",
        "except: \n",
        "  pass"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "colab": {
      "name": "deepflash2_GUI.ipynb",
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}