Difference between revisions of "Deep Dream with Darknet"

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*Terminal basic tutorial: https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners
 
*Terminal basic tutorial: https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners
  
[[Category:Machine Learning]]
+
 
 
[[Category:Convolutional Neural Networks]]
 
[[Category:Convolutional Neural Networks]]

Latest revision as of 11:22, 25 November 2022

Installation

Generating an Image

  • Using Deep Dream with Darknet (GPU + OpenCV). Tested on Ubuntu 16.04
wget http://pjreddie.com/media/files/vgg-conv.weights

Apply DeepDream to an image

  • Go to the directory and type:
cd darknet
./darknet nightmare cfg/vgg-conv.cfg vgg-conv.weights data/eagle.jpg 13

Generate a sequence of images with DeepDream

  • Go to the directory and run the detector for videos:
cd darknet
./darknet nightmare cfg/vgg-conv.cfg vgg-conv.weights data/eagle.jpg 13 -rounds 30 -zoom 0.8


Guide