Difference between revisions of "Deep Dream with Darknet"
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== Generating an Image == | == Generating an Image == | ||
*Using Deep Dream with Darknet (GPU + OpenCV). Tested on Ubuntu 16.04 | *Using Deep Dream with Darknet (GPU + OpenCV). Tested on Ubuntu 16.04 | ||
+ | wget http://pjreddie.com/media/files/vgg-conv.weights | ||
− | === Apply | + | === Apply DeepDream to an image === |
*Go to the directory and type: | *Go to the directory and type: | ||
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./darknet nightmare cfg/vgg-conv.cfg vgg-conv.weights data/eagle.jpg 13 | ./darknet nightmare cfg/vgg-conv.cfg vgg-conv.weights data/eagle.jpg 13 | ||
− | + | === Generate a sequence of images with DeepDream === | |
− | === Generate a sequence of images with | ||
*Go to the directory and run the detector for videos: | *Go to the directory and run the detector for videos: | ||
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=== Guide === | === Guide === | ||
*https://pjreddie.com/darknet/nightmare/ | *https://pjreddie.com/darknet/nightmare/ | ||
+ | *Terminal basic tutorial: https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners | ||
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+ | [[Category:Convolutional Neural Networks]] |
Latest revision as of 11:22, 25 November 2022
Installation
- Fist, we install OpenCV:
- OpenCV Installation
- Then, we need to install our modified version of Darknet:
- Darknet 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