I'm very bored! I don't know how long it would take to complete (I meant, my new model)! So, I suppose I need to have something to do! This project sounds fun and exciting ๐คฉ, and a little bit needs some different configurations, which I'm going to show you how to do it! Stay tuned!
Open your terminal and follow the process step by step.
git clone https://github.com/m3hrdadfi/fun-neural-style-transfer.git app
cd app
python transfer.py \
--language pt \
--content_image_path SPECIFY_YOUR_CONTENT_IMAGE_PATH \
--content_type d \
--style_image_path SPECIFY_YOUR_STYLE_IMAGE_PATH \
--style_type e \
--log_every_step 500 \
--steps 4000 \
--learning_rate 1e-3 \
--style_weights 0.2,0.2,0.2,0.2,0.2 \
--alpha 8.0 \
--beta 1e4 \
--save_dir SPECIFY_YOUR_OUTPUT_DIR
For more information
python transfer.py --h
Output
usage: transfer.py [-h] --content_image_path CONTENT_IMAGE_PATH
[--content_type CONTENT_TYPE] --style_image_path
STYLE_IMAGE_PATH [--style_type STYLE_TYPE] --language
LANGUAGE [--style_weights STYLE_WEIGHTS] [--alpha ALPHA]
[--beta BETA] [--steps STEPS]
[--log_every_step LOG_EVERY_STEP]
[--learning_rate LEARNING_RATE] [--save_dir SAVE_DIR]
[--seed SEED]
optional arguments:
-h, --help show this help message and exit
--content_image_path CONTENT_IMAGE_PATH
The content image path as p (picture)
--content_type CONTENT_TYPE
The content type must be in the list: a, b, c, d, e
--style_image_path STYLE_IMAGE_PATH
The style image path as a (artwork)
--style_type STYLE_TYPE
The style type must be in the list: a, b, c, d, e
--language LANGUAGE Language name selected in the list: pt, tf
--style_weights STYLE_WEIGHTS
Style weights must be declared as list of int for all
layers: conv1_1, conv2_1, conv3_1, conv4_1, conv4_1
--alpha ALPHA
--beta BETA
--steps STEPS
--log_every_step LOG_EVERY_STEP
--learning_rate LEARNING_RATE
--save_dir SAVE_DIR
--seed SEED random seed for initialization
Notebook Example regarding how to use transfer.py
script
Neural Style Transfer (NST) depends on two entities, a content and a style. It accepts one pair of images, one as content and the other as a styler. Then, it produces a new target that preserves the content and tries to shift the style of primary into the styler. In summary:
- Content image used as a basis that provides objects and arrangements for the target.
- Style image used as a painter (styler) to transfer its style, colors, and textures to the target image.
Content and Style
Target (as a fruit of NST)
- Content: Masuleh
- Style: Golestan Palace Springhouse
This project is entirely free and open-source and licensed under the Apache 2.0 license.