Sketch

Have you ever wondered how to create realistic sketches from photos using artificial intelligence? In this blog post, I will introduce you to Sketch, a Python library that can transform any image into a beautiful pencil drawing.

To use Sketch, you need to have Python 3.6 or higher installed on your computer. You also need to install the following dependencies: numpy, scipy, Pillow, torch, torchvision, and tqdm. You can install them using pip or conda. Then, you can clone the Sketch repository from GitHub using this command:

git clone https://github.com/approximatelabs/sketch.git

To run Sketch, you need to download the pre-trained SketcherGAN model from this link: https://drive.google.com/file/d/1-0Xn2zJqjyogjDcKxq9vPp0jwcYJZwOw/view?usp=sharing. Save the model file in the sketch folder. Then, you can use this command to generate a sketch from any image:

python sketch.py --input path/to/image --output path/to/sketch

You can also adjust some parameters to customize your sketch, such as the contrast, brightness, blur, noise, and style. For example, you can use this command to generate a sketch with high contrast and low brightness:

python sketch.py --input path/to/image --output path/to/sketch --contrast 1.5 --brightness 0.5

Here are some examples of sketches generated by Sketch:




As you can see, Sketch can create stunning sketches from any image with just a few lines of code. You can use Sketch for fun, for art, or for any creative project that requires sketching. If you want to learn more about Sketch and how it works, you can check out the GitHub repository and the paper by Approximate Labs: https://arxiv.org/abs/2104.00675.

I hope you enjoyed this blog post and learned something new about Sketch. If you have any questions or feedback, feel free to leave a comment below or contact me at [email protected]. Happy sketching!