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