gasilany.blogg.se - Athentech perfectly clear

#ATHENTECH PERFECTLY CLEAR MAC OSX#
#ATHENTECH PERFECTLY CLEAR INSTALL#
#ATHENTECH PERFECTLY CLEAR FULL#
#ATHENTECH PERFECTLY CLEAR ANDROID#
#ATHENTECH PERFECTLY CLEAR CODE#

We estimate this difference at about 1% to 2%. A smaller image is significantly faster, but can miss locating faces in some images. A larger image (the default) will take longer to process, but can produce slightly more accurate auto-exposure corrections.

New in v8: Face Aware Exposure also performs a "Calc" phase, and this can run on a larger or smaller size image.

If a reduced resolution image is not passed into the Calc function, the PFC library will create this for you, using the down-scaling mentioned above. The image should be no smaller than 1024 px on the longer edge, and ideally should be the larger of one-third of the original image or 1024 px (one the longer edge).

Perfectly Clear Core and Red-eye corrections can run on a reduced resolution image, speeding the Calc processing time without compromising quality.

#ATHENTECH PERFECTLY CLEAR FULL#

The full resolution image is required to run Calc for Noise Removal and Beautify omitting this parameter will disable Noise and Beautify corrections. The PFC_Calc and PFC_AutoCorrect functions accept two images as the first two arguments a full-sized image and a reduced resolution image.

#ATHENTECH PERFECTLY CLEAR INSTALL#

Sudo yum -y install gcc gcc-c++ make libcurl Most Ubuntu versions and Debian 9 and older Not all of these will be needed in every use case, but to ensure the broadest capability, we recommend installing the development packages for each of these, with a command similar to:

standard development tools like gcc, make.

liburl (v3 or v4 libraries are supported).

The Linux SDK has the following prerequisites: This is only required for the license protected SDK.

vcruntime140.dll must be present and in the library search path.

Prerequisites The Windows SDK has the following prerequisites:

This can provide up to a 50% performance increase. If you are certain your usage will only be on newer computers that include AVX support, then you can safely use the libraries with the "AVX" label in their filename.

#ATHENTECH PERFECTLY CLEAR CODE#

However, our sample code in all desktop platforms defaults to using the NON-OPTIMIZED DLL's, in order to ensure the broadest hardware support. This is supported on the majority of desktop computers made since about 2012. This SDK has been optimized for the "AVX" instruction set.

#ATHENTECH PERFECTLY CLEAR ANDROID#

The minimum Android version is v15 (v4.0.3 - Ice Cream Sandwich) for arm64-v8a and x86_64 architectures.

#ATHENTECH PERFECTLY CLEAR MAC OSX#

The minimum Mac OSX version is 10.6 (Snow Leopard).Win32 is provided, but speed optimization and support on older OS versions is not provided. 64-bit Operating Systems are now required on all non-mobile platforms.When using PFC_Calc(), you may choose to override this behavior by disabling the Clipart detection using the iRejectOption function argument. "Clipart" and other non-photographic images are skipped and will not be processed.CMYK and single-channel, monochrome images are not supported Images must be in a RGB format to be processed by this SDK.Face Aware Exposure, Beautify, and RedEye corrections will be disabled. Images with an aspect ratio larger than 21:1 will be processed with limited corrections.Images smaller than 32 pixels on their smaller side will not be processed.

This is also performed automatically in our Command Line Interface application - Red Eye correction will only be applied if EXIF data is present and shows that the flash was fired. One method to lower the frequency of this is for you to only enable Red-Eye corrections on images where a flash was used - as determined by the EXIF Flash tag, which is made easy with our ( PFC_FLASH_STATUS) detection. As a fully-automatic correction, it can mis-identify red-eyes occasionally. It automatically detects eyes, determines if "red-eye" is present, and applied a very natural image correction to remove this unsightly camera artifact. Our red-eye correction technology leads the industry in its speed and accuracy. The PFCImageFile class can assist in this colorspace conversion. Images in Adobe RGB or ProPhoto or other wide-gamut color spaces can appear overly red and overly dark once corrected with Perfectly Clear. For best image quality, be certain to convert any images in other spaces to sRGB before processing with this SDK. The Perfectly Clear corrections assume that the image data is in the sRGB color space.