December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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How to do it...
For this recipe, we simply summarize the results presented online (https://github.com/imatge-upc/activitynet-2016-cvprw/blob/master/misc/step_by_step_guide.md):
- The first step is to clone the git repository from
git clone https://github.com/imatge-upc/activitynet-2016-cvprw.git
- Then we need to download the ActivityNet v1.3 dataset, which has a size of 600 GB:
cd dataset # This will download the videos on the default directory sh download_videos.sh username password # This will download the videos on the directory you specify sh download_videos.sh username password /path/you/want
- The next step is to download the pre-trained weights for both the CNN3d and the RNN:
cd data/models sh get_c3d_sports_weights.sh sh get_temporal_location_weights.sh ...
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