Source code for tensorlayer.files.dataset_loaders.flickr_25k_dataset

#! /usr/bin/python
# -*- coding: utf-8 -*-

import os

from tensorlayer import logging, visualize
from tensorlayer.files.utils import (
    del_file, folder_exists, load_file_list, maybe_download_and_extract, natural_keys, read_file

__all__ = ['load_flickr25k_dataset']

[docs]def load_flickr25k_dataset(tag='sky', path="data", n_threads=50, printable=False): """Load Flickr25K dataset. Returns a list of images by a given tag from Flick25k dataset, it will download Flickr25k from `the official website <>`__ at the first time you use it. Parameters ------------ tag : str or None What images to return. - If you want to get images with tag, use string like 'dog', 'red', see `Flickr Search <>`__. - If you want to get all images, set to ``None``. path : str The path that the data is downloaded to, defaults is ``data/flickr25k/``. n_threads : int The number of thread to read image. printable : boolean Whether to print infomation when reading images, default is ``False``. Examples ----------- Get images with tag of sky >>> images = tl.files.load_flickr25k_dataset(tag='sky') Get all images >>> images = tl.files.load_flickr25k_dataset(tag=None, n_threads=100, printable=True) """ path = os.path.join(path, 'flickr25k') filename = '' url = '' # download dataset if folder_exists(os.path.join(path, "mirflickr")) is False:"[*] Flickr25k is nonexistent in {}".format(path)) maybe_download_and_extract(filename, path, url, extract=True) del_file(os.path.join(path, filename)) # return images by the given tag. # 1. image path list folder_imgs = os.path.join(path, "mirflickr") path_imgs = load_file_list(path=folder_imgs, regx='\\.jpg', printable=False) path_imgs.sort(key=natural_keys) # 2. tag path list folder_tags = os.path.join(path, "mirflickr", "meta", "tags") path_tags = load_file_list(path=folder_tags, regx='\\.txt', printable=False) path_tags.sort(key=natural_keys) # 3. select images if tag is None:"[Flickr25k] reading all images") else:"[Flickr25k] reading images with tag: {}".format(tag)) images_list = [] for idx, _v in enumerate(path_tags): tags = read_file(os.path.join(folder_tags, path_tags[idx])).split('\n') #, tags) if tag is None or tag in tags: images_list.append(path_imgs[idx]) images = visualize.read_images(images_list, folder_imgs, n_threads=n_threads, printable=printable) return images