{"version":"1.0","type":"rich","title":"read remote image files in tensorflow // url file reader","description":"This example demonstrates how TensorFlow can load remote image files directly from URLs by using a threaded queue to parallelize the fetching process. The code defines a `url_example_producer` function that leverages `tf.py_func` with `io.imread` from scikit-image to read images without blocking the global interpreter lock. A `tf.RandomShuffleQueue` with 64 enqueue threads feeds a batch dequeue operation, while a `tf.train.Coordinator` manages thread lifecycle and measures loading time for 1,000 identical image URLs.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-2d889c542042b8a37b209d0c998d6de5?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}