145 lines
361 KiB
Plaintext
145 lines
361 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"from lib import plot\n",
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"import IPython\n",
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"import cv2\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"paper = plot.A6_PORTRAIT"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f3254dc1130>"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"img = cv2.imread('data/boltzmann.jpg')\n",
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"output_shape = (200, 60)\n",
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"\n",
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"img = img.dot([0.07, 0.72, 0.21]) / 255\n",
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"\n",
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"paper_aspect = paper.content_width / paper.content_height\n",
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"img_aspect = img.shape[1] / img.shape[0]\n",
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"if img_aspect < paper_aspect:\n",
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" new_height = round(img.shape[1] / paper_aspect)\n",
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" y_offset = (img.shape[0] - new_height) // 2\n",
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" img = img[y_offset:y_offset + new_height, :]\n",
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"else:\n",
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" new_width = round(img.shape[0] * paper_aspect)\n",
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" x_offset = (img.shape[1] - new_width) // 2\n",
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" img = img[:, x_offset:new_width + x_offset]\n",
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"\n",
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"img = cv2.resize(img, dsize=output_shape, interpolation=cv2.INTER_CUBIC)\n",
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"\n",
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"img = img - np.min(img)\n",
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"img = 1 - img / np.max(img)\n",
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"\n",
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"plt.imshow(img[:, :])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/svg+xml": "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"297.637795pt\" height=\"419.527559pt\" viewBox=\"0 0 297.637795 419.527559\" version=\"1.1\">\n<g id=\"surface1\">\n<path style=\"fill:none;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;\" d=\"M 7.999512 7.999512 L 97.000109 7.999512 L 97.000109 140.000412 L 7.999512 140.000412 L 7.999512 7.999512 \" transform=\"matrix(2.834646,0,0,2.834646,0,0)\"/>\n<path style=\"fill:none;stroke-width:0.5;stroke-linecap:round;stroke-linejoin:miter;stroke:rgb(30%,15%,0%);stroke-opacity:0.5;stroke-miterlimit:10;\" d=\"M 7.999512 9.100564 L 8.222754 9.100564 L 8.66786 9.09643 L 9.112967 9.095052 L 9.558073 9.095052 L 10.003179 9.100564 L 10.446908 9.104698 L 10.892014 9.093674 L 11.33712 9.112967 L 11.782227 9.108832 L 12.227333 9.107454 L 12.672439 9.099186 L 13.117546 9.100564 L 14.007758 9.100564 L 14.452865 9.101942 L 14.897971 9.093674 L 15.343077 9.099186 L 15.788184 9.097808 L 16.231912 9.09643 L 16.677018 9.092296 L 17.122125 9.107454 L 17.567231 9.10332 L 18.012337 9.097808 L 18.457444 9.099186 L 18.90255 9.104698 L 19.347656 9.090918 L 19.792763 9.101942 L 20.237869 9.106076 L 20.682975 9.101942 L 21.128082 9.119857 L 21.573188 9.111589 L 22.016916 9.10332 L 22.462023 9.108832 L 22.907129 9.10332 L 23.352235 9.115723 L 23.797342 9.08954 L 24.242448 9.108832 L 24.687554 9.097808 L 25.132661 9.10332 L 25.577767 9.095052 L 26.022873 9.101942 L 26.46798 9.092296 L 26.913086 9.104698 L 27.356814 9.104698 L 27.801921 9.090918 L 28.247027 9.09643 L 28.692133 9.100564 L 29.13724 9.10332 L 29.582346 9.099186 L 30.027452 9.088162 L 30.472559 9.119857 L 30.917665 9.110211 L 31.362771 9.093674 L 31.807878 9.092296 L 32.252984 9.09643 L 32.69809 9.092296 L 33.141819 9.085406 L 33.586925 9.110211 L 34.032031 9.09643 L 34.477138 9.085406 L 34.922244 9.117101 L 35.36735 9.107454 L 35.812457 9.100564 L 36.257563 9.101942 L 36.702669 9.099186 L 37.147776 9.100564 L 37.592882 9.093674 L 38.037988 9.101942 L 38.483095 9.108832 L 38.926823 9.110211 L 39.371929 9.084028 L 39.817036 9.104698 L 40.262142 9.101942 L 40.707248 9.108832 L 41.152355 9.141905 L 41.597461 9.114345 L 42.042567 9.060601 L 42.487674 9.125369 L 42.93278 9.123991 L 43.377886 9.104698 L 43.822993 9.112967 L 44.268099 9.104698 L 44.711827 9.09643 L 45.156934 9.106076 L 45.60204 9.084028 L 46.047146 9.106076 L 46.492253 9.125369 L 46.937359 9.086784 L 47.382465 9.099186 L 47.827572 9.057845 L 48.272678 9.107454 L 48.717784 9.079894 L 49.162891 9.088162 L 49.607997 9.119857 L 50.053103 9.107454 L 50.496832 9.10332 L 50.941938 9.068869 L 51.387044 9.111589 L 51.832151 9.099186 L 52.277257 9.104698 L 52.722363 9.086784 L 53.16747 9.090918 L 53.612576 9.111589 L 54.057682 9.119857 L 54.502789 9.117101 L 54.947895 9.10332 L 55.393001 9.136393 L 55.838108 9.068869 L 56.281836 9.141905 L 56.726942 9.106076 L 57.172049 9.08954 L 57.617155 9.107454 L 58.062261 9.165332 L 58.507368 9.118479 L 59.842687 9.118479 L 60.287793 9.104698 L 60.732899 9.079894 L 61.178006 9.099186 L 61.623112 9.016504 L 62.06684 9.097808 L 62.511947 9.10332 L 62.957053 9.09643 L 63.402159 9.104698 L 63.847266 9.115723 L 64.292372 9.110211 L 64.737478 9.099186 L 65.182585 9.129503 L 65.627691 9.10332 L 66.072797 9.112967 L 66.517904 9.110211 L 66.96301 9.100564 L 67.408116 9.115723 L 67.851845 9.077138 L 68.296951 9.09643 L 68.742057 9.101942 L 69.187164 9.099186 L 69.63227 9.100564 L 70.077376 9.095052 L 70.522483 9.093674 L 70.967589 9.067491 L 71.412695 9.123991 L 71.857802 9.110211 L 72.302908 9.121235 L 72.748014 9.10332 L 73.193121 9.10332 L 73.636849 9.09643 L 74.081955 9.111589 L 74.527062 9.104698 L 74.972168 9.088162 L 75.417274 9.088162 L 75.862381 9.097808 L 76.307487 9.126747 L 76.752593 9.090918 L 77.1977 9.101942 L 77.642806 9.084028 L 78.087912 9.111589 L 78.533019 9.100564 L 78.978125 9.09643 L 79.421853 9.090918 L 79.86696 9.115723 L 80.312066 9.097808 L 80.757172 9.111589 L 81.202279 9.097808 L 81.647385 9.099
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"text/plain": [
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"<IPython.core.display.SVG object>"
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]
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},
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||
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"p_svg = plot.SVGPlotter('plots/portrait.svg', paper)\n",
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"p_hpgl = plot.HPGLPlotter(paper, 'plots/portrait_{index}.hpgl')\n",
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"plotter = plot.MultiPlotter()\n",
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"plotter.register_plotter(p_svg)\n",
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"plotter.register_plotter(p_hpgl)\n",
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"\n",
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"plotter.move_to(paper.bottom_left())\n",
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"plotter.line_to(paper.bottom_right())\n",
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"plotter.line_to(paper.top_right())\n",
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"plotter.line_to(paper.top_left())\n",
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"plotter.line_to(paper.bottom_left())\n",
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"\n",
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"plotter.add_layer([0.3, 0.15, 0, 0.5])\n",
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"\n",
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"noise_img = np.random.normal(size=img.shape) * img * 0.7\n",
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"\n",
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"for yi in range(img.shape[0]):\n",
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" y = paper.top() + (yi + 0.5) * (paper.content_height / img.shape[0])\n",
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" plotter.move_to((paper.left(), y))\n",
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" for xi in range(img.shape[1]):\n",
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" x = paper.left() + (xi + 0.5) * (paper.content_width / img.shape[1])\n",
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" plotter.line_to((x, y + noise_img[yi, xi]))\n",
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"\n",
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"plotter.finalise()\n",
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"IPython.display.SVG(filename=p_svg.file_name)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.15 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.15"
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},
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"orig_nbformat": 4,
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"vscode": {
|
||
|
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"interpreter": {
|
||
|
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"hash": "1dc4d77b1edb83bef89f833b7ed5251134c6a4899ef5e2c90c44e9927b4ae63a"
|
||
|
|
}
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 2
|
||
|
|
}
|