Related Products
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About
Focos brings DSLR-like photography to your iPhone with big aperture and real bokeh effect, which most photographers have always desired. Portrait photo with depth data allows you to focus after shooting like hacker technology. Various diaphragms generate different bokeh spot effects. Professional options simulate the pro lens such as creamy, bilinear, swirl and so on. Creamy is the characteristic of good lens and makes the edge of bokeh spot softer. Bilinear is the shortcoming of some lens but can stoke spot. Swirly lens highlights the center object surrounded by swirly bokeh. With lighting tool, you can check the portrait picture in true 3D space, add lights and adjust color, brightness and so on and so forth. It is more powerful and flexible than portrait lighting which Apple provides.
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About
FrameMagic enables you to create awesome photo collages, video collages and video slideshows within just a few seconds with tons of layouts, endless options, colors, patterns, a powerful text editor, beautiful filter effects, flexible play options, music and narrations. FrameMagic also supports powerful and intelligent photo editors including object removal, soft skin, dark light, bokeh, sticker, silhouette, outline, hole, background blur, motion blur and color splash. Combine multiple photos with hundreds of rectangular and polygonal layouts. Blend multiple photos and create a stunning collage. Combine multiple photos into one long. storytelling collage. 3D meshed collage with beautiful mesh layouts.
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About
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Individuals looking for a camera application with large aperture
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Audience
Users looking for a powerful Photo Editor application that helps create photo collages
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Audience
Engineers and data scientists requiring a solution to manage and improve their machine learning research
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBending Spoons Apps
China
focos.me/
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Company InformationFrameMagic
framemagic.blogspot.com
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Company Informationscikit-learn
United States
scikit-learn.org/stable/
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Categories |
Categories |
Categories |
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Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
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Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
|
Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
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