release flickr1M

Author: zsdonghao

README.md

@@ -18,6 +18,7 @@
 TensorLayer is a deep learning and reinforcement learning library based on [Google TensorFlow](https://www.tensorflow.org). It provides rich data pre-processing,  training, post-processing and serving modules that help researchers and engineers in building complex machine learning workflows.  
 
 # What's New
+* Release [Flickr dataset loader](http://press.liacs.nl/mirflickr/mirdownload.html), see [load_flickr25k](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr25k) and [load_flickr1M](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr1m).
 * Release [SpatialTransformer2dAffineLayer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#spatial-transformer) for [Spatial Transformer Networks](https://github.com/zsdonghao/Spatial-Transformer-Nets) see [example code](https://github.com/zsdonghao/Spatial-Transformer-Nets).
 * Release [Sub-pixel Convolution](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#super-resolution-layer) for Super-resolution see [SRGAN code](https://github.com/zsdonghao/SRGAN)
 * Join [Slack](https://join.slack.com/tensorlayer/shared_invite/MTk1MjM0NDk5MDg5LTE0OTcwOTQyNTEtODFjY2QzYjdmZQ) Now.

tensorlayer/files.py

@@ -576,6 +576,14 @@ def load_flickr1M_dataset(tag='sky', size=10, path="data/flickr1M", n_threads=50
         The path that the data is downloaded to, defaults is ``data/flickr25k/``.
     n_threads : int, number of thread to read image.
     printable : bool, print infomation when reading images, default is False.
+
+    Examples
+    ----------
+    - Use 200k images
+    >>> images = tl.files.load_flickr1M_dataset(tag='zebra', size=2)
+    
+    - Use 1 Million images
+    >>> images = tl.files.load_flickr1M_dataset(tag='zebra')
     """
     print("[Flickr1M] using {}% of images = {}".format(size*10, size*100000))
     images_zip = ['images0.zip', 'images1.zip', 'images2.zip', 'images3.zip',