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vist.py
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vist.py
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import os.path as osp
import json
import numpy as np
import math
from datetime import datetime
from pprint import pprint
from scipy.misc import imread, imresize
import matplotlib.pyplot as plt
class Story_in_Sequence:
def __init__(self, images_dir, annotations_dir, splits=None):
"""
The vist_dir should contain images and annotations, which further contain train/val/test.
We will load train/val/test together on default and add split in albums, and make mapping.
- albums = [{id, title, vist_label, description, img_ids, story_ids}]
- images = [{id, album_id, datetaken, title, text, tags}]
- sents = [{id, story_id, album_id, img_id, order, original_text, text, length}]
- stories = [{id, story_id, album_id, sent_ids, img_ids}]
"""
self.images_dir = images_dir
self.annotations_dir = annotations_dir
# Load annotations and add splits to each album
if not splits:
splits = ['train', 'val', 'test']
sis = {'images': [], 'albums': [], 'annotations': []}
for split in splits:
b = datetime.now()
info = json.load(open(osp.join(annotations_dir, 'sis', split+'.story-in-sequence.json')))
print 'sis\'s [%s] loaded. It took %.2f seconds.' % (split, (datetime.now() - b).total_seconds())
for album in info['albums']:
album['split'] = split
sis['albums'] += info['albums']
sis['images'] += info['images']
sis['annotations'] += info['annotations']
sents = []
for ann in sis['annotations']:
# sent = {album_id, img_id, story_id, text, original_text, }
sent = ann[0].copy()
sent['id'] = sent.pop('storylet_id')
sent['order'] = sent.pop('worker_arranged_photo_order')
sent['img_id'] = sent.pop('photo_flickr_id')
sent['length'] = len(sent['text'].split()) # add length property
sents += [sent]
# make mapping
print 'Make mapping ...'
self.Albums = {album['id']: album for album in sis['albums']}
self.Images = {img['id']: img for img in sis['images']}
self.Sents = {sent['id']: sent for sent in sents}
# album_id -> img_ids
album_to_img_ids = {}
for img in sis['images']:
album_id = img['album_id']
img_id = img['id']
album_to_img_ids[album_id] = album_to_img_ids.get(album_id, []) + [img_id]
def getDateTime(img_id):
x = self.Images[img_id]['datetaken']
return datetime.strptime(x, '%Y-%m-%d %H:%M:%S')
for album_id, img_ids in album_to_img_ids.items():
img_ids.sort(key=getDateTime)
# story_id -> sent_ids
story_to_sent_ids = {}
for sent_id, sent in self.Sents.items():
story_id = sent['story_id']
story_to_sent_ids[story_id] = story_to_sent_ids.get(story_id, []) + [sent_id]
def get_order(sent_id):
return self.Sents[sent_id]['order']
for story_id, sent_ids in story_to_sent_ids.items():
sent_ids.sort(key=get_order)
# album_id -> story_ids
album_to_story_ids = {}
for story_id, sent_ids in story_to_sent_ids.items():
sent = self.Sents[sent_ids[0]]
album_id = sent['album_id']
album_to_story_ids[album_id] = album_to_story_ids.get(album_id, []) + [story_id]
# add to albums (and self.Albums)
for album in sis['albums']:
album['img_ids'] = album_to_img_ids[album['id']]
album['story_ids'] = album_to_story_ids[album['id']]
# make Stories: {story_id: {id, album_id, sent_ids, img_ids}}
self.Stories = {story_id: {'id': story_id,
'sent_ids': sent_ids,
'img_ids': [self.Sents[sent_id]['img_id'] for sent_id in sent_ids],
'album_id': self.Sents[sent_ids[0]]['album_id']}
for story_id, sent_ids in story_to_sent_ids.items()}
print 'Mapping for [Albums][Images][Stories][Sents] done.'
# back to albums, images, stories, sents
self.albums = self.Albums.values()
self.images = self.Images.values()
self.stories = self.Stories.values()
self.sents = self.Sents.values()
def read_img(self, img_file):
img_content = imread(img_file)
if len(img_content.shape) == 2:
img_content = np.tile(img_content[:,:,np.newaxis], (1,1,3))
img_content = imresize(img_content, (224, 224))
return img_content
def show_story(self, story_id, show_image=True, show_sents=True):
story = self.Stories[story_id]
sent_ids = story['sent_ids']
if show_image:
plt.figure()
for i, sent_id in enumerate(sent_ids):
img_id = self.Sents[sent_id]['img_id']
img = self.Images[img_id]
album_id = img['album_id']
split = self.Albums[album_id]['split']
img_file = osp.join(self.images_dir, split, img_id + '.jpg')
img_content = self.read_img(img_file)
ax = plt.subplot(1, len(sent_ids), i+1)
ax.imshow(img_content)
ax.axis('off')
ax.set_title(str(img_id)+'\n'+img['datetaken'][5:])
plt.show()
if show_sents:
for sent_id in sent_ids:
sent = self.Sents[sent_id]
print '%s: img_id[%s], %s' % (sent['order'], sent['img_id'], sent['text'])
def show_album(self, album_id):
album = self.Albums[album_id]
img_ids = album['img_ids']
plt.figure()
cols = 5
rows = math.ceil(len(img_ids)/float(cols))
for i, img_id in enumerate(img_ids):
img = self.Images[img_id]
img_file = osp.join(self.images_dir, album['split'], img_id + '.jpg')
img_content = self.read_img(img_file)
ax = plt.subplot(rows, cols, i+1)
ax.imshow(img_content)
ax.axis('off')
ax.set_title(str(img_id)+'\n'+img['datetaken'][5:])
plt.show()
class Description_in_Isolation:
def __init__(self, images_dir, annotations_dir, splits=None):
"""
The vist_dir should contain images and annotations, which futher contain train/val/test
We will load train/val/test together on default and add split in albums, and make mapping.
- albums = [{id, title, vist_label, description, img_ids}]
- images = [{id, album_id, datetaken, title, text, tags}]
- sents = [{id, album_id, img_id, order, original_text, text}], order no use???
"""
self.images_dir = images_dir
self.annotations_dir = annotations_dir
# Load annotations and add splits to each album
if not splits:
splits = ['train', 'val', 'test']
dii = {'images': [], 'albums': [], 'annotations': []}
for split in splits:
b = datetime.now()
info = json.load(open(osp.join(annotations_dir, 'dii', split+'.description-in-isolation.json')))
print 'dii\'s [%s] loaded. It took %.2f seconds.' % (split, (datetime.now() - b).total_seconds())
for album in info['albums']:
album['split'] = split
dii['albums'] += info['albums']
dii['images'] += info['images']
dii['annotations'] += info['annotations']
sents = []
for i, ann in enumerate(dii['annotations']):
# sent = {album_id, img_id, order, text, original_text, }
sent = ann[0].copy()
sent['order'] = sent.pop('photo_order_in_story')
sent['img_id'] = sent.pop('photo_flickr_id')
sent['id'] = str(i)
sents += [sent]
# make mapping
print 'Make mapping ...'
self.Albums = {album['id']: album for album in dii['albums']}
self.Images = {img['id']: img for img in dii['images']}
self.Sents = {sent['id']: sent for sent in sents}
# album_id -> img_ids
album_to_img_ids = {}
for img in dii['images']:
album_id = img['album_id']
img_id = img['id']
album_to_img_ids[album_id] = album_to_img_ids.get(album_id, []) + [img_id]
def getDateTime(img_id):
x = self.Images[img_id]['datetaken']
return datetime.strptime(x, '%Y-%m-%d %H:%M:%S')
for album_id, img_ids in album_to_img_ids.items():
img_ids.sort(key=getDateTime)
# add img_ids to albums (and self.Albums)
for album in dii['albums']:
album['img_ids'] = album_to_img_ids[album['id']]
# img_id -> sent_ids
img_to_sent_ids = {}
for sent in sents:
img_id = sent['img_id']
img_to_sent_ids[img_id] = img_to_sent_ids.get(img_id, []) + [sent['id']]
# add sent_ids to images
for img_id in img_to_sent_ids.keys():
self.Images[img_id]['sent_ids'] = img_to_sent_ids[img_id]
for img_id, img in self.Images.items():
if 'sent_ids' not in img:
img['sent_ids'] = []
print 'Mapping for [Albums][Images][Sents] done.'
# back to albums, images, stories, sents
self.albums = self.Albums.values()
self.images = self.Images.values()
self.sents = self.Sents.values()
def read_img(self, img_file):
img_content = imread(img_file)
if len(img_content.shape) == 2:
img_content = np.tile(img_content[:,:,np.newaxis], (1,1,3))
img_content = imresize(img_content, (224, 224))
return img_content
def show_imgs_with_sents(self, img_ids, show_image=True):
if show_image:
plt.figure()
cols = 5
rows = math.ceil(len(img_ids) / float(cols))
for i, img_id in enumerate(img_ids):
img = self.Images[img_id]
album = self.Albums[img['album_id']]
img_file = osp.join(self.images_dir, album['split'], img_id + '.jpg')
img_content = self.read_img(img_file)
ax = plt.subplot(rows, cols, i+1)
ax.imshow(img_content)
ax.axis('off')
ax.set_title(str(img_id)+'\n'+img['datetaken'][5:])
plt.show()
for i, img_id in enumerate(img_ids):
sent_ids = self.Images[img_id]['sent_ids']
for k, sent_id in enumerate(sent_ids):
sent = self.Sents[sent_id]
print '%s.%s: img_id[%s], %s' % (sent['order'], k, sent['img_id'], sent['text'])