move color print up
This commit is contained in:
Szymon Parafiński
parent
85ba70d8b3
commit
28561eef52
113
jupyter.ipynb
113
jupyter.ipynb
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@ -2,10 +2,9 @@
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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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"execution_count": 3,
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"metadata": {
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"pycharm": {
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"is_executing": true,
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"name": "#%%\n"
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}
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},
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@ -14,7 +13,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/var/folders/tq/jq5nwbnj7v10tls99x99qbh40000gn/T/ipykernel_57719/1134982733.py:12: 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_84713/1134982733.py:12: 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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@ -49,7 +48,7 @@
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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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"execution_count": 4,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -115,7 +114,7 @@
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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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"execution_count": 5,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -158,8 +157,12 @@
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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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"execution_count": 6,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"def calculate(A):\n",
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@ -202,7 +205,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 7,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -235,7 +238,7 @@
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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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"execution_count": 8,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -274,7 +277,7 @@
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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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"execution_count": 9,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -304,7 +307,7 @@
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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": 10,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -338,7 +341,7 @@
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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": 11,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -348,12 +351,12 @@
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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": "7c4a40e6f857407586d21ab113128a97",
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"model_id": "5de39e03944b4f70a566d6fd4e0e747e",
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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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"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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@ -365,7 +368,7 @@
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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": 22,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -376,7 +379,7 @@
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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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"execution_count": 12,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -386,7 +389,7 @@
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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": "3533923ce918489eab6fc7de25234078",
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"model_id": "a7efd777338d4ccfb3ab75d50a448d13",
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"version_major": 2,
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"version_minor": 0
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},
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@ -415,7 +418,7 @@
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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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"execution_count": 13,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -472,7 +475,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 14,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -494,6 +497,22 @@
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" plt.imshow(image_reconst)"
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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": 15,
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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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@ -507,7 +526,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 16,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -531,23 +550,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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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": "code",
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"execution_count": 15,
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"execution_count": 17,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -557,7 +560,7 @@
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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": "0af20b426d1240cca1e08e40ede10e98",
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"model_id": "51461a1fc1b944a0a967b11590d02c7f",
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"version_major": 2,
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"version_minor": 0
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},
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@ -574,7 +577,7 @@
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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": 15,
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -585,7 +588,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 18,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -595,7 +598,7 @@
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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": "86f500d175554478ac9805075a809d28",
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"model_id": "2ac1906f3030426cab0f7d8e8f5be577",
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"version_major": 2,
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"version_minor": 0
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},
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@ -635,7 +638,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 19,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -673,7 +676,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 20,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -697,13 +700,18 @@
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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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"metadata": {},
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"execution_count": 21,
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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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},
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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": "e97ca096507f42b49f98dbb87ac5a2ec",
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"model_id": "8c96b6ed413848f2ad0bcf849e6c54d0",
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"version_major": 2,
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"version_minor": 0
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},
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@ -721,8 +729,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": 22,
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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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@ -731,7 +740,7 @@
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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": "71fea739144848d69afb1662172190ad",
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"model_id": "00696a30e8374ba2ba4ab98c3ba13a75",
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"version_major": 2,
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"version_minor": 0
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},
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@ -750,7 +759,11 @@
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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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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": []
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}
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@ -771,7 +784,7 @@
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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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