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Catégorie Portrait/chemin2/.ipynb_checkpoints/Untitled-checkpoint.ipynb

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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

Catégorie Portrait/chemin2/.ipynb_checkpoints/Untitled1-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy import ndimage as ndi\n",
+    "\n",
+    "from skimage import feature\n",
+    "from scipy import misc\n",
+    "fimg = misc.imread(\"contourV1.png\")\n",
+    "\n",
+    "from skimage import measure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "from skimage import color\n",
+    "gimg = color.colorconv.rgb2grey(fimg)\n",
+    "edges1 = feature.canny(gimg)\n",
+    "edges2 = feature.canny(gimg, sigma=5.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "fig, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(8, 3))\n",
+    "\n",
+    "ax1.imshow(gimg, cmap=plt.cm.jet)\n",
+    "ax1.axis('off')\n",
+    "ax1.set_title('noisy image', fontsize=20)\n",
+    "\n",
+    "ax2.imshow(edges1, cmap=plt.cm.gray)\n",
+    "ax2.axis('off')\n",
+    "ax2.set_title('Canny filter, $\\sigma=1$', fontsize=20)\n",
+    "\n",
+    "ax3.imshow(edges2, cmap=plt.cm.gray)\n",
+    "ax3.axis('off')\n",
+    "ax3.set_title('Canny filter, $\\sigma=5$', fontsize=20)\n",
+    "\n",
+    "fig.subplots_adjust(wspace=0.02, hspace=0.02, top=0.9,\n",
+    "                    bottom=0.02, left=0.02, right=0.98)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "contours = measure.find_contours(gimg, 0.8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "fig2, ax2 = plt.subplots()\n",
+    "ax2.imshow(gimg, interpolation='nearest', cmap=plt.cm.gray)\n",
+    "\n",
+    "for n, contour in enumerate(contours):\n",
+    "    ax2.plot(contour[:, 1], contour[:, 0], linewidth=2)\n",
+    "\n",
+    "ax2.axis('image')\n",
+    "ax2.set_xticks([])\n",
+    "ax2.set_yticks([])\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

Catégorie Portrait/chemin2/Untitled.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from scipy import misc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "fimg = misc.imread(\"contourV1.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from skimage import color"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "gimg = color.colorconv.rgb2grey(fimg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from skimage import measure\n",
+    "contours = measure.find_contours(gimg, 0.8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    " \n",
+    "for n, contour in enumerate(contours):\n",
+    "    plt.plot(contour[:, 1], contour[:, 0], linewidth=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f3b9eaa60d0>]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from skimage.draw import ellipse\n",
+    "from skimage.measure import find_contours, approximate_polygon, subdivide_polygon\n",
+    "  \n",
+    "contour = contours[0]\n",
+    "new_s = contour.copy()\n",
+    "appr_s = approximate_polygon(new_s, tolerance=0.8)\n",
+    "  \n",
+    "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(9, 4))\n",
+    "ax2.plot(contour[:, 0], contour[:, 1])\n",
+    "ax1.plot(appr_s[:, 0], appr_s[:, 1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

Catégorie Portrait/chemin2/Untitled1.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy import ndimage as ndi\n",
+    "\n",
+    "from skimage import feature\n",
+    "from scipy import misc\n",
+    "fimg = misc.imread(\"contourV1.png\")\n",
+    "\n",
+    "from skimage import measure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "from skimage import color\n",
+    "gimg = color.colorconv.rgb2grey(fimg)\n",
+    "edges1 = feature.canny(gimg)\n",
+    "edges2 = feature.canny(gimg, sigma=5.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "fig, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(8, 3))\n",
+    "\n",
+    "ax1.imshow(gimg, cmap=plt.cm.jet)\n",
+    "ax1.axis('off')\n",
+    "ax1.set_title('noisy image', fontsize=20)\n",
+    "\n",
+    "ax2.imshow(edges1, cmap=plt.cm.gray)\n",
+    "ax2.axis('off')\n",
+    "ax2.set_title('Canny filter, $\\sigma=1$', fontsize=20)\n",
+    "\n",
+    "ax3.imshow(edges2, cmap=plt.cm.gray)\n",
+    "ax3.axis('off')\n",
+    "ax3.set_title('Canny filter, $\\sigma=5$', fontsize=20)\n",
+    "\n",
+    "fig.subplots_adjust(wspace=0.02, hspace=0.02, top=0.9,\n",
+    "                    bottom=0.02, left=0.02, right=0.98)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "contours = measure.find_contours(gimg, 0.9)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "fig2, ax2 = plt.subplots()\n",
+    "ax2.imshow(gimg, interpolation='nearest', cmap=plt.cm.gray)\n",
+    "\n",
+    "for n, contour in enumerate(contours):\n",
+    "    ax2.plot(contour[:, 1], contour[:, 0], linewidth=2)\n",
+    "\n",
+    "ax2.axis('image')\n",
+    "ax2.set_xticks([])\n",
+    "ax2.set_yticks([])\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

Catégorie Portrait/description.csv

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+Numéro d'inventaire	Artiste	Culture	Titre	Date de production	Technique d'expression	Dimensions	Lieu de production	Sujet	Description	Collection	Département	Catégorie	Objet	Nombre d'objets	Mention	MAJ des informations
+1989.295.08	"Éditions internationales Alain Stanké ltée
+Lemieux, Jean Paul"	Canadienne; Québécoise	François Paradis, du livre illustré Jean Paul Lemieux retrouve Maria Chapdelaine	1981	Photolithographie, 2522/5000	45,8 x 30,6 cm (papier); 35 x 28 cm (image)	Montréal (Québec), Canada	Portrait	Costumes civils accessoires couvre-chef chapeau, vêtements gilet veston; Personnages groupes humains jeune homme héros du roman (1913) de l'écrivain québécois d'origine française Louis Hémon (1880-1913) et amoureux de Maria Chapdelaine, métiers et professions coureur des bois, portrait en buste de face; Géographie physique accidents géographiques champ, phénomènes naturels neige, saison : hiver; Localisation : Péribonka, Lac Saint-Jean Ouest, Québec, Canada	Collection permanente	Art contemporain (1950-2000)	Arts graphiques	Estampe (livre illustré)	1	Legs Marcel Carbotte	02-juil-15
+