Simple_U_2_Net_Example.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Simple-U-2-Net-Example.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Norod/my-colab-experiments/blob/master/Simple_U_2_Net_Example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FklCreH9fgWE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "624447c2-c8b0-42e3-bf92-5f21cdb300b4"
      },
      "source": [
        "%cd /content/\n",
        "!git clone https://github.com/NathanUA/U-2-Net\n",
        "%cd /content/U-2-Net\n",
        "%mkdir saved_models\n",
        "%mkdir saved_models/u2net\n",
        "!wget 'https://norod78.s3-eu-west-1.amazonaws.com/models/u2net/u2net.pth' -O /content/U-2-Net/saved_models/u2net/u2net.pth"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n",
            "Cloning into 'U-2-Net'...\n",
            "remote: Enumerating objects: 401, done.\u001b[K\n",
            "remote: Total 401 (delta 0), reused 0 (delta 0), pack-reused 401\u001b[K\n",
            "Receiving objects: 100% (401/401), 20.30 MiB | 14.19 MiB/s, done.\n",
            "Resolving deltas: 100% (154/154), done.\n",
            "/content/U-2-Net\n",
            "mkdir: cannot create directory ‘saved_models’: File exists\n",
            "--2020-11-26 16:01:03--  https://norod78.s3-eu-west-1.amazonaws.com/models/u2net/u2net.pth\n",
            "Resolving norod78.s3-eu-west-1.amazonaws.com (norod78.s3-eu-west-1.amazonaws.com)... 52.218.29.160\n",
            "Connecting to norod78.s3-eu-west-1.amazonaws.com (norod78.s3-eu-west-1.amazonaws.com)|52.218.29.160|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 176290937 (168M) [application/x-www-form-urlencoded]\n",
            "Saving to: ‘/content/U-2-Net/saved_models/u2net/u2net.pth’\n",
            "\n",
            "/content/U-2-Net/sa 100%[===================>] 168.12M   101MB/s    in 1.7s    \n",
            "\n",
            "2020-11-26 16:01:05 (101 MB/s) - ‘/content/U-2-Net/saved_models/u2net/u2net.pth’ saved [176290937/176290937]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NU5vstDpAtLI"
      },
      "source": [
        "This command just empties the results folders of their default images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jx4-xhtZl2vG"
      },
      "source": [
        "!rm /content/U-2-Net/test_data/u2net_results/*\n",
        "!rm /content/U-2-Net/test_data/test_images/*\n",
        "!rm -rf /content/U-2-Net/test_data/u2netp_results"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ui0o4oR0Tte3"
      },
      "source": [
        "#Use muppet sample images or download / upload your own\n",
        "!wget https://storage.googleapis.com/misc-image-dataset/few-muppets.zip\n",
        "!unzip -nj /content/U-2-Net/few-muppets.zip -d ./test_data/test_images/"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-BZz9j5IALOa"
      },
      "source": [
        "Add your own images to the `U-2-Net/test_data/test_images/` folder. Then run the following command."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j-whHHfhg-Bc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "22aa6662-3ac4-4565-80e2-66c465219dbb"
      },
      "source": [
        "!python u2net_test.py"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "...load U2NET---173.6 MB\n",
            "inferencing: Ernie_2_070182985_229.jpg\n",
            "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:2952: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.\n",
            "  warnings.warn(\"nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.\")\n",
            "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:3063: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.\n",
            "  \"See the documentation of nn.Upsample for details.\".format(mode))\n",
            "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:1639: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\n",
            "  warnings.warn(\"nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\")\n",
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            "inferencing: Ugi_2_06836953_2122.jpg\n",
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            "inferencing: Fozzie_6_0671905_2494.jpg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ylso-m6BmEVZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f634bb19-0d4a-4a0b-9fe7-3136737c8ea3"
      },
      "source": [
        "!zip few-muppets-Masked.zip ./test_data/u2net_results/*"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  adding: test_data/u2net_results/Animal_1_04554255_187.png (deflated 4%)\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JCOsyNntSzuv",
        "outputId": "4c1920ba-b053-4a35-dd3b-007fd47d9629"
      },
      "source": [
        "#Now download the result:\n",
        "!ls -latr /content/U-2-Net/few-muppets.zip"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "-rw-r--r-- 1 root root 17510965 Aug 18 14:37 /content/U-2-Net/few-muppets.zip\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}