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@@ -0,0 +1,5 @@
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*.pkl
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*.pyc
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.ipynb*
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__pycache__
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.DS_Store
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@@ -10,7 +10,37 @@
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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": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ln: failed to create symbolic link './utils': File exists\n",
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"ln: failed to create symbolic link './dataset': File exists\n",
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"--2021-02-28 10:56:34-- http://groups.csail.mit.edu/vision/datasets/ADE20K/toolkit/index_ade20k.pkl\n",
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"Resolving groups.csail.mit.edu (groups.csail.mit.edu)... 128.30.2.44\n",
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"Connecting to groups.csail.mit.edu (groups.csail.mit.edu)|128.30.2.44|:80... connected.\n",
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"HTTP request sent, awaiting response... 200 OK\n",
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"Length: 817537016 (780M)\n",
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"Saving to: ‘index_ade20k.pkl’\n",
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"\n",
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"index_ade20k.pkl 100%[===================>] 779.66M 65.8MB/s in 12s \n",
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"\n",
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"2021-02-28 10:57:44 (63.1 MB/s) - ‘index_ade20k.pkl’ saved [817537016/817537016]\n",
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"\n"
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]
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}
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],
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"source": [
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"# Starter setup\n",
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"! sh setup.sh"
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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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@@ -30,24 +60,7 @@
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"import cv2\n",
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"import numpy as np\n",
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"import pickle as pkl\n",
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"import utils_ade20k"
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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": 20,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ade20k_starter.ipynb index_ade20k.pkl \u001b[0m\u001b[01;34m__pycache__\u001b[0m/ utils_ade20k.py\r\n"
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]
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}
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],
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"source": [
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"ls "
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"from utils import utils_ade20k"
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]
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},
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{
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@@ -59,20 +72,20 @@
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Load index with global information about ADE20K\n",
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"DATASET_PATH = '/data/vision/torralba/datasets/ade20k/release/'\n",
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"DATASET_PATH = '../dataset/'\n",
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"index_file = 'index_ade20k.pkl'\n",
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"with open(index_file, 'rb') as f:\n",
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"with open('{}/{}'.format(DATASET_PATH, index_file), 'rb') as f:\n",
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" index_ade20k = pkl.load(f)"
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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": 22,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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@@ -99,11 +112,11 @@
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"--------------------------------------------\n",
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"\n",
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"The dataset has 27574 images\n",
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"The image at index 20390 is ADE_train_00020391.jpg\n",
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"It is located at ADE20K_2021_17_01/images/ADE/training/home_or_hotel/bedroom/ADE_train_00020391.jpg\n",
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"It happens in a /bedroom\n",
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"It has 21.0 objects, of which 2.0 are parts\n",
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"The most common object is object painting, picture (1734), which appears 3.0 times\n"
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"The image at index 16868 is ADE_train_00016869.jpg\n",
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"It is located at ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869.jpg\n",
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"It happens in a /street\n",
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"It has 70.0 objects, of which 19.0 are parts\n",
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"The most common object is object car, auto, automobile, machine, motorcar (400), which appears 11.0 times\n"
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]
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}
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],
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@@ -115,7 +128,7 @@
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" print('* {}: {}'.format(attribute_name, desc))\n",
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"print('--------------------------------------------\\n')\n",
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"\n",
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"i = 20390\n",
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"i = 16868 # 16899, 16964\n",
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"nfiles = len(index_ade20k['filename'])\n",
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"file_name = index_ade20k['filename'][i]\n",
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"num_obj = index_ade20k['objectPresence'][:, i].sum()\n",
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@@ -132,63 +145,22 @@
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"print(\"The most common object is object {} ({}), which appears {} times\".format(obj_name, obj_id, count_obj))"
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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": 27,
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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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"'ADE20K_2021_17_01/images/ADE/training/transportation/airport_terminal'"
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]
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},
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"execution_count": 27,
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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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"index_ade20k['folder'][0]"
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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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"source": [
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"## Loading a segmentation object\n",
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"We will visualize the same obejct we were studying before"
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"We will visualize the same object we were studying before"
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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": 30,
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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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"Counter({'training': 25574, 'validation': 2000})"
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]
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},
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"execution_count": 30,
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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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"from collections import Counter\n",
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"Counter([x.split('/')[-3] for x in index_ade20k['folder']])"
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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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"image/png": 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truncated
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||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1080x360 with 1 Axes>"
|
||||
]
|
||||
@@ -200,9 +172,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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\n",
|
||||
"image/png": "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\n",
|
||||
"text/plain": [
|
||||
"<Figure size 360x360 with 1 Axes>"
|
||||
"<Figure size 720x360 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
@@ -247,22 +219,22 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(-0.5, 3071.5, 681.5, -0.5)"
|
||||
"(-0.5, 6143.5, 1535.5, -0.5)"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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\n",
|
||||
"image/png": "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\n",
|
||||
"text/plain": [
|
||||
"<Figure size 1080x360 with 1 Axes>"
|
||||
]
|
||||
@@ -275,7 +247,7 @@
|
||||
],
|
||||
"source": [
|
||||
"# We have a segmentation for every object instance, showing object bounds without occlusions\n",
|
||||
"instances = [4, 5, 7]\n",
|
||||
"instances = [4, 10, 19]\n",
|
||||
"images = []\n",
|
||||
"for instance in instances:\n",
|
||||
" file_instance = '{}/{}/instance_{:03}_{}'.format(\n",
|
||||
@@ -296,22 +268,22 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(-0.5, 1023.5, 681.5, -0.5)"
|
||||
"(-0.5, 2047.5, 1535.5, -0.5)"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1080x1080 with 1 Axes>"
|
||||
]
|
||||
@@ -328,20 +300,6 @@
|
||||
"plt.imshow(img[:, :, ::-1])\n",
|
||||
"plt.axis('off')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
@@ -0,0 +1,5 @@
|
||||
ln -s ../utils/ .
|
||||
ln -s ../dataset/ .
|
||||
cd dataset
|
||||
wget -nc http://groups.csail.mit.edu/vision/datasets/ADE20K/toolkit/index_ade20k.pkl
|
||||
cd ..
|
||||
Reference in new issue
Block a user