To train a DCGAN network, we need a dataset of anime characters containing cropped faces of the characters. There are multiple ways to collect a dataset. We can either use a publicly available dataset, or we can scrape one, as long as we don't violate the website's scraping policies. In this chapter, we will be scraping images for educational and demonstration purposes only. We have scraped images from pixiv.net using a crawler tool called gallery-dl. This is a command-line tool that can be used to download image collections from websites, such as pixiv.net, exhentai.org, danbooru.donmai.us, and more. It is available at the following link: https://github.com/mikf/gallery-dl.
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Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
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Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar