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fix printing matrixes

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Szymon Parafiński 2022-05-17 22:28:19 +02:00
parent 5fee55f1c5
commit e450335467
1 changed files with 119 additions and 49 deletions
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168
jupyter.ipynb
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@ -2,9 +2,10 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 18, "execution_count": 23,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"is_executing": true,
"name": "#%%\n" "name": "#%%\n"
} }
}, },
@ -13,21 +14,24 @@
"name": "stderr", "name": "stderr",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"/var/folders/t3/dwnz0lh916ng4w7bzf0z56ym0000gn/T/ipykernel_32034/3285565865.py:11: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", "/var/folders/8w/3c34c7kd2n144tvm764_pdbw0000gq/T/ipykernel_56318/3079151100.py:11: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
" from IPython.core.display import display, HTML\n" " from IPython.core.display import display, HTML\n"
] ]
}, },
{ {
"data": { "data": {
"text/plain": "<IPython.core.display.HTML object>", "text/html": [
"text/html": "<style>.container { width:80% !important; }</style>" "<style>.container { width:80% !important; }</style>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"import IPython\n",
"import numpy as np\n", "import numpy as np\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"from skimage import data\n", "from skimage import data\n",
@ -44,7 +48,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 19, "execution_count": 46,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -110,7 +114,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 20, "execution_count": 24,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -153,7 +157,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": 25,
"metadata": { "metadata": {
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"name": "#%%\n" "name": "#%%\n"
@ -185,7 +189,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 22, "execution_count": 26,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -224,7 +228,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 23, "execution_count": 27,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -254,7 +258,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 24, "execution_count": 28,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -287,8 +291,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 25, "execution_count": 29,
"metadata": { "metadata": {
"collapsed": true,
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
} }
@ -296,21 +301,25 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": "interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'camera', 'coin', 'clock', 'te…",
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "aca9f364d54e4861a5e74c0d8f1c90a4",
"version_major": 2, "version_major": 2,
"version_minor": 0, "version_minor": 0
"model_id": "e73d6e563a63469e9a4b9f32a01b7187" },
} "text/plain": [
"interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'camera', 'coin', 'clock', 'te…"
]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
}, },
{ {
"data": { "data": {
"text/plain": "<function __main__.print_matrices(img_name, k)>" "text/plain": [
"<function __main__.print_matrices(img_name, k)>"
]
}, },
"execution_count": 25, "execution_count": 29,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -321,8 +330,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 26, "execution_count": 30,
"metadata": { "metadata": {
"collapsed": true,
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
} }
@ -330,12 +340,14 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": "interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'camera', 'coin', 'clock', 'te…",
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "4182f0c1306b4ad0906069edd805e512",
"version_major": 2, "version_major": 2,
"version_minor": 0, "version_minor": 0
"model_id": "5a74237c02e040abb124f54625d61846" },
} "text/plain": [
"interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'camera', 'coin', 'clock', 'te…"
]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
@ -358,7 +370,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 27, "execution_count": 31,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -415,7 +427,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 28, "execution_count": 32,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -450,7 +462,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 29, "execution_count": 33,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -474,7 +486,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 30, "execution_count": 48,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -483,33 +495,38 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": "interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'coffee', 'rocket', 'koala', '…",
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "a2e35d368db94f6caad9954bd64c5a58",
"version_major": 2, "version_major": 2,
"version_minor": 0, "version_minor": 0
"model_id": "46b3c56fd85e40b299d36dd0c1630c9f" },
} "text/plain": [
"interactive(children=(Dropdown(description='img_name', index=5, options=('cat', 'astro', 'coffee', 'rocket', '…"
]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
}, },
{ {
"data": { "data": {
"text/plain": "<function __main__.print_matrices(img_name, k)>" "text/plain": [
"<function __main__.print_color_matrices(img_name, k)>"
]
}, },
"execution_count": 30, "execution_count": 48,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"interact(print_matrices, img_name=list_widget, k=int_slider_widget)" "interact(print_color_matrices, img_name=list_widget, k=int_slider_widget)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 31, "execution_count": 35,
"metadata": { "metadata": {
"collapsed": true,
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
} }
@ -517,12 +534,14 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": "interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'coffee', 'rocket', 'koala', '…",
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "a86d9cbb5cd64ea0bf777d5d16e7f534",
"version_major": 2, "version_major": 2,
"version_minor": 0, "version_minor": 0
"model_id": "b5123a5d03fb489699824a8415bc6701" },
} "text/plain": [
"interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'coffee', 'rocket', 'koala', '…"
]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
@ -556,7 +575,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 32, "execution_count": 39,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -571,7 +590,7 @@
" image = color_images[img_name]\n", " image = color_images[img_name]\n",
" original_shape = image.shape\n", " original_shape = image.shape\n",
" image_reconst_layers = [compress_svd(image[:,:,i],k)[0] for i in range(3)]\n", " image_reconst_layers = [compress_svd(image[:,:,i],k)[0] for i in range(3)]\n",
" print(image_reconst_layers)\n", "# print(image_reconst_layers)\n",
" image_reconst = np.zeros(image.shape)\n", " image_reconst = np.zeros(image.shape)\n",
" for i in range(3):\n", " for i in range(3):\n",
" image_reconst[:,:,i] = image_reconst_layers[i]\n", " image_reconst[:,:,i] = image_reconst_layers[i]\n",
@ -581,6 +600,22 @@
" plt.imshow(image_reconst, vmin=0, vmax=255)\n" " plt.imshow(image_reconst, vmin=0, vmax=255)\n"
] ]
}, },
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"def print_color_matrices(img_name,k):\n",
" \"\"\"\n",
" Wyświetlanie macierzy U V S wraz z wymiarami.\n",
" \"\"\"\n",
" image = color_images[img_name]\n",
" original_shape = image.shape\n",
" image_reconst_layers = [compress_svd(image[:,:,i],k)[0] for i in range(3)]\n",
" print(image_reconst_layers)"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
@ -594,7 +629,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 33, "execution_count": 40,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -618,7 +653,33 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 34, "execution_count": 43,
"metadata": {
"collapsed": true
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "280c9df9b5c64f9a937c79974567b4f8",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'coffee', 'rocket', 'koala', '…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"interact(print_color_matrices,img_name=list_widget,k=int_slider_widget);"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": { "metadata": {
"pycharm": { "pycharm": {
"name": "#%%\n" "name": "#%%\n"
@ -627,12 +688,14 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": "interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'coffee', 'rocket', 'koala', '…",
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "6cb1ac93975744a4aa20838d6442c5a2",
"version_major": 2, "version_major": 2,
"version_minor": 0, "version_minor": 0
"model_id": "14cf5f5b31f74c2482088989f5e87558" },
} "text/plain": [
"interactive(children=(Dropdown(description='img_name', options=('cat', 'astro', 'coffee', 'rocket', 'koala', '…"
]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
@ -641,6 +704,13 @@
"source": [ "source": [
"interact(compress_show_color_images_layer,img_name=list_widget,k=int_slider_widget);" "interact(compress_show_color_images_layer,img_name=list_widget,k=int_slider_widget);"
] ]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
} }
], ],
"metadata": { "metadata": {
@ -659,9 +729,9 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.8.13" "version": "3.8.9"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 1 "nbformat_minor": 1
} }