Fast.ai Lesson 3 - Covid19_X_ray_Classifier.ipynb

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        "<a href=\"https://colab.research.google.com/github/RajiRai/FastAI/blob/master/Fast.ai%20Lesson%203%20-%20Covid19_X_ray_Classifier.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[K     |████████████████████████████████| 727kB 7.0MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 6.5MB/s \n",
            "\u001b[K     |████████████████████████████████| 1.0MB 19.9MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 6.0MB/s \n",
            "\u001b[K     |████████████████████████████████| 194kB 49.2MB/s \n",
            "\u001b[K     |████████████████████████████████| 92kB 10.7MB/s \n",
            "\u001b[K     |████████████████████████████████| 40kB 5.4MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 7.0MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 6.5MB/s \n",
            "\u001b[K     |████████████████████████████████| 61kB 7.7MB/s \n",
            "\u001b[K     |████████████████████████████████| 2.6MB 46.4MB/s \n",
            "\u001b[?25hMounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jDs7uFs_VB9k"
      },
      "source": [
        "from fastbook import *\n",
        "from fastai.vision.widgets import *"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ndWlI_HYVTu7",
        "outputId": "e21fa6e7-86a6-49e8-dd0a-f77f35bca7db",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive', force_remount=True)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SDlKY8T2VdTM"
      },
      "source": [
        "path = Path ('/content/gdrive/My Drive/Covid19images')\n",
        "learn_inf = load_learner(path/'export.pkl')\n",
        "btn_upload = widgets.FileUpload()\n",
        "out_pl = widgets.Output()\n",
        "lbl_pred = widgets.Label()"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3lbCOxYSywzV"
      },
      "source": [
        "def on_data_change(change):\n",
        "    lbl_pred.value = ''\n",
        "    img = PILImage.create(btn_upload.data[-1])\n",
        "    out_pl.clear_output()\n",
        "    with out_pl: display(img.to_thumb(128,128))\n",
        "    pred,pred_idx,probs = learn_inf.predict(img)\n",
        "    lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'\n",
        "    "
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1u3S_Bb7zUu0"
      },
      "source": [
        "btn_upload.observe(on_data_change, names=['data'])"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H6mS2fHT0Kbm",
        "outputId": "5450f142-5826-4007-af1f-713233f854e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 216,
          "referenced_widgets": [
            "7a1d7a89d3df4d7888e21a3cbe8ba22a",
            "3a527ba697894ad1a77c854cebca1b39",
            "1a372a6c28e7463a817b4a884467e053",
            "f46798fd627e44d6b54080df7258a7d3",
            "b4e877c5da0640a6a7801951f01de3f1",
            "1b685cf5492441efbe25c33d40c28e36",
            "0a8fee8052e94b06875619826116995d",
            "5fd96b30889946fa81903bb55d392e68",
            "21e115b81312457284e4d7acfadda3af",
            "9e3765a27a1d472f82e2eaf0421748d2",
            "eba9cb83a9e94e9ca2490fc647d63279",
            "66394be42d424cda9743b04986788a68",
            "a9ae2e65ac8048c99d475df3845e2840"
          ]
        }
      },
      "source": [
        "display(VBox([widgets.Label('Select a X-ray'), btn_upload, out_pl, lbl_pred]))"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "7a1d7a89d3df4d7888e21a3cbe8ba22a",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "VBox(children=(Label(value='Select a X-ray'), FileUpload(value={'NORMAL2-IM-1111-0001.jpeg': {'metadata': {'la…"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}