Frame-A-Face can cut valuable time from your current digital image workflow.
Built especially for portrait photographers, this state-of-the-art software
uses advanced facial alignment technology to scan hundreds of images
and apply user-defined crop dimensions.
Below, you will find videos and screen shots of the easy-to-use interface
as well as direct worflow application of the software.
Frame-A-Face Overview Video
Frame-A-Face is used by companies around to accelerate their workflow, cropping hundreds of images for
website directories, school yearbooks, passport, id photos and more.
You can create a new version of the site by translating the strings in the JavaScript files into another language. ⚠️ Important Considerations
Understanding how these values are coded, classified, and debated on GitHub offers a unique window into how modern software reflects—and shapes—societal norms. 1. Ideological and Psychological Testing Repositories
When maintainers publish these frameworks, they typically rely on foundational principles derived from modern digital ethics. The most common pillars include: Explicit Consent sex values github
Moreover, GitHub's collaborative environment facilitates the development of sex education projects that are responsive to the needs of diverse communities. For example, the Sex Education Repository on GitHub provides a platform for developers to create and share resources tailored to specific cultural, linguistic, or regional contexts. This approach recognizes that sex education is not a one-size-fits-all solution and that different communities have unique needs and preferences.
For technical projects, these documents draw a strict line between acceptable professional discourse and prohibited explicit content. They define what constitutes harassment, inappropriate imagery, or unsafe-for-work (NSFW) contributions. You can create a new version of the
is a popular online quiz hosted on GitHub Pages that assesses and visualizes an individual's sexual preferences and attitudes across five distinct axes . Much like the "8values" political quiz, it aims to provide a structured percentage breakdown of where a user falls between opposing sexual philosophies. Core Values and Axes
The normalization of these explicit boundary files reflects a maturing tech industry. By treating interpersonal safety, consent, and identity as core project requirements—on par with code quality and test coverage—the open-source community is building a more sustainable ecosystem. This approach recognizes that sex education is not
I need to gather more details about the "SexValues" project. Let's look at the questions or the quiz logic. The "SexValues" repository doesn't have a README, but the "results_data.js" shows the axes. There might be a file with questions. Let's check the repository for other files. I can try to open the root directory. Using the GitHub API might be possible, but I can try to list files. Let's see if there's a "questions.js" or "quiz.js". Use find for "questions". have reached the limit of tool calls. I need to synthesize the article based on the information gathered so far. I have details about "SexValues", "8values", "GSSO", "gendercoder", "FemScale", and the "BDSM Test". I also have information about detecting sexism and related datasets. I will structure the article as a comprehensive long-form piece covering these topics.
Merging two healthcare datasets fails if one uses {"sex": "M"} and the other uses {"sex": 1} .
This sounds unromantic. But in practice, clarity is the highest form of romance. There is nothing sexier than a partner who has read the contributing guidelines and still wants to merge.
This axis measures the user's attraction toward stereotypical gender traits. A higher "Masculine" score indicates attraction toward masculinity and men, characterized by traits like assertiveness, strength, and independence. A higher "Feminine" score indicates attraction toward femininity and women, associated with kindness, emotionality, and devotion.
The team at Frame-A-Face is proud to announce the latest update.
We have improved the face detection and spacial mapping engine.
This has greatly reduced the time to scan and crop large batches of images.
We have also added two new featuers to help streamline your workflow:
cropping presets and templated exports. The presets feature allows
Frame-A-Face users to tap into the power of the software, givng you the ability
to create, store and apply saved crop parameters with a mouse click.
Templated exports gives users the flexibilty to define precise image exports
for printed products, like ID badges and passport photos.
To watch a general overview video of Frame-A-Face features, click here .
If you are already a Frame-A-Face power user or you are curious about the new
presets and templates features, click here .
Frame-A-Face Advanced Features
This video explains the new features that were added to Frame-A-Face. From a faster
rendering engine, to crop presents and export templates, all were designed to
speed up your imaging workflow.
The Frame-A-Face facial alignment cropping system is quickly becoming an essential tool for any photographer in a high-volume production environment. This includes large image processing centers, as well as local photographers who just contracted their first school or sports league. Many processes in a high-volume digital workflow are still repetitive, where adjustments are applied to each image in a large batch. Frame-A-Face uses facial alignment technology to take one of these workflow processes—in this case cropping—to the next level of automation, cutting time from image processing and saving money.
The Frame-A-Face processes all your photos locally, without using the internet or cloud services. This means your images remain private and secure, never leaving your computer, making it safe to work with personal and sensitive photos.
“Elegance is not the abundance of simplicity. It is the absence of complexity.” —Alex White
This quote from the legendary designer summarizes the Frame-A-Face user experience. Frame-A-Face automates a mundane task (cropping/resizing hundreds of images) with elegant, intelligent easy-to-use software. Are you ready to experience the next generation of smart workflow?
The following testimonials are from customers currently using Frame-A-Face software in their workflow. Everyone who uses Frame-A-Face agrees that the user interface is intuitive and easy to use, while the software itself saves vaulable time during image processing.
“...you can use it to quickly crop your portrait photos to the size of ID badges, passport photos, etc. You can also use this software to create photos for yearbooks. It will be especially useful for hospitals, security companies, and photo labs!” read more...
Kate Gross
Fixthephoto.com
“The user will intuitively understand how the software works and the actual image processing appears to be magic. This is the way software should work.”
Luke Norski
Software Engineer
“I take photos for several schools in my area. I used to crop just about every image in Lightroom. Now I batch them through Frame-A-Face. One batch for ID cards and one batch for portraits. I cannot even begin to calculate the amount of time it saves!”
Jane Goldmund
Photographer
“I love Frame-A-Face. What used to take me anywhere from 2-4 hours I can do in 30 minutes now.”
—Michael, School Photographer
For a limited time, purchase the Frame-A-Face cropping system for only $229.00 This software will revolutionize your digital portrait workflow, saving time and money. Not convinced? Try the full version of Frame-A-Face free for 15 days.