Although it is possible to use some automations, the creation of these datasets still require great and repetitive manual effort. Working on stylized and abstract graphic fields the construction of these datasets becomes a mere problem of hours working on photoshop to mask photos and apply geometric elements. Web scrapers can download thousands of images from the web, dressed and nude, and through photoshop you can apply the appropriate masks and details to build the dataset that solve a particular sub problem. This approach makes the construction of the sub-datasets accessible and feasible. Generation of a abstract representation of anatomical attributes.Generation of a mask that selects clothes.Instead of relying on a single network, we divided the problem into 3 simpler sub-problems: We overcome the problem using a divide-et-impera approach. A database in which a person appears both naked and dressed, in the same position, is extremely difficult to achieve, if not impossible. Paired datasets get better results and are the only choice if you want to get photorealistic results, but there are cases in which these datasets do not exist and they are impossible to create. If you are interested in the details of the network you can study this amazing project provided by NVIDIA.Ī GAN network can be trained using both paired and unpaired dataset. The algorithm uses a slightly modified version of the pix2pixHD GAN architecture. The input image should be 512px * 512px in size (parameters are provided to auto resize/scale your input).ĭreamPower uses an interesting method to solve a typical AI problem, so it could be useful for researchers and developers working in other fields such as fashion, cinema and visual effects. This will print out help on the parameters the algorithm accepts. NVIDIA GPU (AMD GPU's are not supported).If you don't have experience using command line applications you can download DreamTime which offers you a friendly user interface. It consists of several algorithms that together create a fake nude from a photo. AboutĭreamPower is a fork of the DeepNude algorithm that generates better fake nudes and puts at your disposal a command line interface. We have taken the decision to archive the repository since no PR has been received for more than 1 year. Unfortunately we have discontinued the project and will focus our efforts on other projects, if you are interested in a better nudification algorithm that can be used from any device visit our new project: You will be prompted to either authenticate using your browser, or to paste a token.Thank you for your interest in DreamPower.To authenticate with a GitHub Enterprise instance, run: gh auth login -hostname gh will respect tokens set using GITHUB_TOKEN. Run gh auth login to authenticate with your GitHub account.Windows, gh is available via scoop, Chocolatey, and as downloadable MSI.sudo port selfupdate & sudo port upgrade gh.It is available to download on Windows, macOS, and Linux. Through terminal, it reduces context switching, which helps to focus, and it’ll be easier to script and create workflows. GitHub CLI works with repositories hosted on GitHub Enterprise Server 2.20+. With GitHub CLI, you can: Run your entire GitHub workflow from the terminal, from issues through releases Call the GitHub API to script nearly any action, and set a custom alias for any command, and Connect to GitHub Enterprise Server in addition to.
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