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694 lines
1.3 MiB
Plaintext
694 lines
1.3 MiB
Plaintext
4 years ago
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# PIL(low) talk\n",
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"\n",
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"The \"classic\" Python Image Library (or PIL) is described in the (classic) handbook:\n",
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"http://www.effbot.org/imagingbook/pil-index.htm\n",
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"\n",
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"In fact, the current library that people tend to use is called [Pillow](https://pillow.readthedocs.io/en/stable/), but as a \"friendly fork\" it tries to acts just like the old PIL library, so you don't even notice (and your code still uses the name PIL). The Pillow project also maintains it's own documenation at:\n",
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"\n",
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"https://pillow.readthedocs.io/en/stable/reference/index.html\n",
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"\n"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from PIL import Image"
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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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"source": [
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"im = Image.open(\"a.jpg\")"
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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": 4,
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"metadata": {},
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"outputs": [
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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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"<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=740x1147 at 0x7FF9140ED400>"
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]
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},
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"execution_count": 4,
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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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"im"
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"im = Image.open(\"cyber.jpg\")"
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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": 7,
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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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"(500, 488)"
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]
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},
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"execution_count": 7,
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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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"im.size"
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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": 8,
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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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"'RGB'"
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]
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},
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"execution_count": 8,
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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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"im.mode"
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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": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"im.thumbnail( (320, 320) )"
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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": 10,
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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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"(320, 312)"
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]
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},
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"execution_count": 10,
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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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"im.size"
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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": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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|
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"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=320x312 at 0x7FF91406B748>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 11,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"im\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 12,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"from urllib.request import urlopen"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 13,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"f = urlopen(\"https://upload.wikimedia.org/wikipedia/commons/1/10/NOLAPunchCards1938.jpg\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 14,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"key2 = Image.open(f)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 15,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"(600, 458)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 15,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key2.size"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 21,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<PIL.Image.Image image mode=1 size=600x458 at 0x7FF91402F0B8>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 21,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key2.convert(\"1\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 18,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"\u001b[0;31mSignature:\u001b[0m \u001b[0mkey2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmatrix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdither\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpalette\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m256\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
|
|
"\u001b[0;31mDocstring:\u001b[0m\n",
|
||
|
|
"Returns a converted copy of this image. For the \"P\" mode, this\n",
|
||
|
|
"method translates pixels through the palette. If mode is\n",
|
||
|
|
"omitted, a mode is chosen so that all information in the image\n",
|
||
|
|
"and the palette can be represented without a palette.\n",
|
||
|
|
"\n",
|
||
|
|
"The current version supports all possible conversions between\n",
|
||
|
|
"\"L\", \"RGB\" and \"CMYK.\" The **matrix** argument only supports \"L\"\n",
|
||
|
|
"and \"RGB\".\n",
|
||
|
|
"\n",
|
||
|
|
"When translating a color image to greyscale (mode \"L\"),\n",
|
||
|
|
"the library uses the ITU-R 601-2 luma transform::\n",
|
||
|
|
"\n",
|
||
|
|
" L = R * 299/1000 + G * 587/1000 + B * 114/1000\n",
|
||
|
|
"\n",
|
||
|
|
"The default method of converting a greyscale (\"L\") or \"RGB\"\n",
|
||
|
|
"image into a bilevel (mode \"1\") image uses Floyd-Steinberg\n",
|
||
|
|
"dither to approximate the original image luminosity levels. If\n",
|
||
|
|
"dither is NONE, all values larger than 128 are set to 255 (white),\n",
|
||
|
|
"all other values to 0 (black). To use other thresholds, use the\n",
|
||
|
|
":py:meth:`~PIL.Image.Image.point` method.\n",
|
||
|
|
"\n",
|
||
|
|
"When converting from \"RGBA\" to \"P\" without a **matrix** argument,\n",
|
||
|
|
"this passes the operation to :py:meth:`~PIL.Image.Image.quantize`,\n",
|
||
|
|
"and **dither** and **palette** are ignored.\n",
|
||
|
|
"\n",
|
||
|
|
":param mode: The requested mode. See: :ref:`concept-modes`.\n",
|
||
|
|
":param matrix: An optional conversion matrix. If given, this\n",
|
||
|
|
" should be 4- or 12-tuple containing floating point values.\n",
|
||
|
|
":param dither: Dithering method, used when converting from\n",
|
||
|
|
" mode \"RGB\" to \"P\" or from \"RGB\" or \"L\" to \"1\".\n",
|
||
|
|
" Available methods are NONE or FLOYDSTEINBERG (default).\n",
|
||
|
|
" Note that this is not used when **matrix** is supplied.\n",
|
||
|
|
":param palette: Palette to use when converting from mode \"RGB\"\n",
|
||
|
|
" to \"P\". Available palettes are WEB or ADAPTIVE.\n",
|
||
|
|
":param colors: Number of colors to use for the ADAPTIVE palette.\n",
|
||
|
|
" Defaults to 256.\n",
|
||
|
|
":rtype: :py:class:`~PIL.Image.Image`\n",
|
||
|
|
":returns: An :py:class:`~PIL.Image.Image` object.\n",
|
||
|
|
"\u001b[0;31mFile:\u001b[0m ~/.local/lib/python3.7/site-packages/PIL/Image.py\n",
|
||
|
|
"\u001b[0;31mType:\u001b[0m method\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key2.convert?"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 19,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"key2.thumbnail((1024, 1024))"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 22,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"key2.save(\"keypunch.png\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 36,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"key3 = Image.open( urlopen(\"https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/IBM26.jpg/1024px-IBM26.jpg\") )"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 37,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"(1024, 683)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 37,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key3.size"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 25,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<PIL.Image.Image image mode=1 size=1024x683 at 0x7FF91402F9E8>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 25,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key3.convert(\"1\", dither=Image.NONE)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 35,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"key3"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 38,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<PIL.Image.Image image mode=L size=1024x683 at 0x7FF914035DA0>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 38,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key3.convert(\"L\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 33,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"#key3 = key3.thumbnail((64, 64))"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 39,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"False"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 39,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key3 is None"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 40,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"from PIL import ImageDraw"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 41,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"key3.save(\"keypunch_gray.png\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 42,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"\u001b[0;31mSignature:\u001b[0m \u001b[0mkey2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmatrix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdither\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpalette\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m256\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
|
|
"\u001b[0;31mDocstring:\u001b[0m\n",
|
||
|
|
"Returns a converted copy of this image. For the \"P\" mode, this\n",
|
||
|
|
"method translates pixels through the palette. If mode is\n",
|
||
|
|
"omitted, a mode is chosen so that all information in the image\n",
|
||
|
|
"and the palette can be represented without a palette.\n",
|
||
|
|
"\n",
|
||
|
|
"The current version supports all possible conversions between\n",
|
||
|
|
"\"L\", \"RGB\" and \"CMYK.\" The **matrix** argument only supports \"L\"\n",
|
||
|
|
"and \"RGB\".\n",
|
||
|
|
"\n",
|
||
|
|
"When translating a color image to greyscale (mode \"L\"),\n",
|
||
|
|
"the library uses the ITU-R 601-2 luma transform::\n",
|
||
|
|
"\n",
|
||
|
|
" L = R * 299/1000 + G * 587/1000 + B * 114/1000\n",
|
||
|
|
"\n",
|
||
|
|
"The default method of converting a greyscale (\"L\") or \"RGB\"\n",
|
||
|
|
"image into a bilevel (mode \"1\") image uses Floyd-Steinberg\n",
|
||
|
|
"dither to approximate the original image luminosity levels. If\n",
|
||
|
|
"dither is NONE, all values larger than 128 are set to 255 (white),\n",
|
||
|
|
"all other values to 0 (black). To use other thresholds, use the\n",
|
||
|
|
":py:meth:`~PIL.Image.Image.point` method.\n",
|
||
|
|
"\n",
|
||
|
|
"When converting from \"RGBA\" to \"P\" without a **matrix** argument,\n",
|
||
|
|
"this passes the operation to :py:meth:`~PIL.Image.Image.quantize`,\n",
|
||
|
|
"and **dither** and **palette** are ignored.\n",
|
||
|
|
"\n",
|
||
|
|
":param mode: The requested mode. See: :ref:`concept-modes`.\n",
|
||
|
|
":param matrix: An optional conversion matrix. If given, this\n",
|
||
|
|
" should be 4- or 12-tuple containing floating point values.\n",
|
||
|
|
":param dither: Dithering method, used when converting from\n",
|
||
|
|
" mode \"RGB\" to \"P\" or from \"RGB\" or \"L\" to \"1\".\n",
|
||
|
|
" Available methods are NONE or FLOYDSTEINBERG (default).\n",
|
||
|
|
" Note that this is not used when **matrix** is supplied.\n",
|
||
|
|
":param palette: Palette to use when converting from mode \"RGB\"\n",
|
||
|
|
" to \"P\". Available palettes are WEB or ADAPTIVE.\n",
|
||
|
|
":param colors: Number of colors to use for the ADAPTIVE palette.\n",
|
||
|
|
" Defaults to 256.\n",
|
||
|
|
":rtype: :py:class:`~PIL.Image.Image`\n",
|
||
|
|
":returns: An :py:class:`~PIL.Image.Image` object.\n",
|
||
|
|
"\u001b[0;31mFile:\u001b[0m ~/.local/lib/python3.7/site-packages/PIL/Image.py\n",
|
||
|
|
"\u001b[0;31mType:\u001b[0m method\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"key2.convert?"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 46,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"ename": "ModuleNotFoundError",
|
||
|
|
"evalue": "No module named 'aalib'",
|
||
|
|
"output_type": "error",
|
||
|
|
"traceback": [
|
||
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||
|
|
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
|
||
|
|
"\u001b[0;32m<ipython-input-46-912cb9847582>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0maalib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||
|
|
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'aalib'"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"import aalib"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"import aalib"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 44,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"ename": "NameError",
|
||
|
|
"evalue": "name 'aalib' is not defined",
|
||
|
|
"output_type": "error",
|
||
|
|
"traceback": [
|
||
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
||
|
|
"\u001b[0;32m<ipython-input-44-f44aedee4649>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mscreen\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maalib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mAsciiScreen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m640\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m480\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||
|
|
"\u001b[0;31mNameError\u001b[0m: name 'aalib' is not defined"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"screen = aalib.AsciiScreen(width=640, height=480)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 47,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"f = urlopen('https://www.python.org/static/favicon.ico')"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 48,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"im = Image.open(f)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 49,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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\n",
|
||
|
|
"text/plain": [
|
||
|
|
"<PIL.IcoImagePlugin.IcoImageFile image mode=RGBA size=48x48 at 0x7FF91401ED68>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 49,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"im"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 50,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"ename": "NameError",
|
||
|
|
"evalue": "name 'screen' is not defined",
|
||
|
|
"output_type": "error",
|
||
|
|
"traceback": [
|
||
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
||
|
|
"\u001b[0;32m<ipython-input-50-235f2c5973fa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'L'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscreen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvirtual_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||
|
|
"\u001b[0;31mNameError\u001b[0m: name 'screen' is not defined"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"im = im.convert('L').resize(screen.virtual_size)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"im"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"screen.virtual_size"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"screen.put_image((0, 0), im)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"print (screen.render())"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"resized = key2.convert(\"L\").resize(screen.virtual_size)\n",
|
||
|
|
"screen.put_image((0, 0), resized)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"screen.render()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"resized"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "Python 3",
|
||
|
|
"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": "3.7.3"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 4
|
||
|
|
}
|