[docker] Dockerize and add notebook

demo/Dockerfile

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+FROM continuumio/miniconda3:4.12.0
+
+RUN apt update && apt upgrade -y && \
+    apt install -y \
+        libgl1 \
+        lsof \ 
+        tmux \
+        vim
+
+WORKDIR /face_detection
+
+COPY ../requirements.txt .
+RUN pip install -r requirements.txt && \
+    pip install scikit-image
+
+COPY ../setup.py .
+COPY ../ibug ibug 
+RUN pip install -e .
+
+RUN conda install jupyterlab matplotlib ipywidgets
+
+COPY demo/notebook.ipynb .
+
+CMD [ \
+    "tmux", \ 
+    "new-session", "/bin/bash", ";", \
+    "new-window", "jupyter-lab --ip=0.0.0.0 --no-browser --allow-root" \
+]

demo/notebook.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b3e3e628-e16a-474e-ad32-3edb91a82ba1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import time\n",
+    "import io\n",
+    "from typing import Callable\n",
+    "from contextlib import contextmanager\n",
+    "\n",
+    "import cv2\n",
+    "import torch\n",
+    "from skimage.data import astronaut\n",
+    "import numpy as np\n",
+    "from matplotlib import pyplot as plt\n",
+    "from PIL import Image\n",
+    "import ipywidgets as widgets\n",
+    "\n",
+    "from ibug.face_detection import RetinaFacePredictor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eea2256f-2d81-406f-8d30-6753b026e8a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def detect_face(face_detector, image):\n",
+    "    detections = face_detector(image, rgb=False)\n",
+    "    assert len(detections) == 1, \"Please submit an image with exactly one clear frontal face\"\n",
+    "    return detections[0, :4]\n",
+    "\n",
+    "def resize(image: np.ndarray, longer_side: int) -> np.ndarray:\n",
+    "    width, height = image.shape[:2]\n",
+    "    largest = max(width, height)\n",
+    "    ratio = longer_side / largest\n",
+    "    return cv2.resize(image, (int(height * ratio), int(width * ratio)))\n",
+    "\n",
+    "@contextmanager\n",
+    "def time_tracking(callback: Callable[[float], None]):\n",
+    "    start = time.perf_counter()\n",
+    "    try:\n",
+    "        yield\n",
+    "    finally:\n",
+    "        end = time.perf_counter()\n",
+    "        callback(end - start)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f065b832-3d29-473a-aa56-de236f5040e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_upload = widgets.FileUpload()\n",
+    "\n",
+    "display(file_upload)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d18fc123-fcce-40a2-83be-0bf7fd430e99",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "image = astronaut()\n",
+    "\n",
+    "for filename, file_info in file_upload.value.items():\n",
+    "    image = np.array(Image.open(io.BytesIO(file_info['content'])))\n",
+    "    \n",
+    "image = resize(image, 400)\n",
+    "Image.fromarray(image)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c15e1d3-2dd5-400d-85f6-46f7a1d88af5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "device = \"cpu\"\n",
+    "if torch.cuda.is_available():\n",
+    "    device = torch.cuda.current_device()\n",
+    "\n",
+    "face_detector = RetinaFacePredictor(\n",
+    "    device=device, \n",
+    "    model=RetinaFacePredictor.get_model(\"mobilenet0.25\"),\n",
+    ")\n",
+    "\n",
+    "with time_tracking(print):\n",
+    "    detection = detect_face(face_detector, image)\n",
+    "print(f\"Detected face at {detection=}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afef425a-84d1-4ee2-b14b-8ee8bbbd21f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vis = image.copy()\n",
+    "cv2.rectangle(\n",
+    "    vis, \n",
+    "    detection[:2].astype(np.int32), \n",
+    "    detection[2:].astype(np.int32), \n",
+    "    color=(255, 0, 0),\n",
+    "    thickness=2,\n",
+    ")\n",
+    "\n",
+    "Image.fromarray(vis)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

demo/run.sh

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+repo="face_detection"
+if ! [ "$(basename $PWD)" = "$repo" ]
+then
+	echo "Please run from the base directory of this repo."
+	exit 1
+fi
+
+docker build -t "ibug-$repo" -f ./demo/Dockerfile .
+
+prefix=""
+if [ $(uname | grep -iE "(mingw|cygwin)") ]
+then
+	prefix="winpty"
+fi
+
+echo $prefix
+$prefix docker run -it --rm -p 8888:8888 "ibug-$repo"