December 2018
Intermediate to advanced
182 pages
4h 21m
English
Content preview from Computer Vision Projects with OpenCV and Python 3
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Running the captioning code on Jupyter
Let's now run our own version of the code on a Jupyter Notebook. We can start up own own Jupyter Notebook and load the Section_1-Tensorflow_Image_Captioning.ipynb file from the GitHub repository (https://github.com/PacktPublishing/Computer-Vision-Projects-with-OpenCV-and-Python-3/blob/master/Chapter01/Section_1-Tensorflow_Image_Captioning.ipynb).
Once we load the file on a Jupyter Notebook, it will look something like this:
In the first part, we are going to load some essential libraries, including math, os, and tensorflow. We will also use our handy utility function, %pylab inline, to easily read and ...
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