Image rev
Author: c | 2025-04-25
Rev Image lol. Rev Image. Proudly powered by WordPressWordPress A console application for representative elementary volume (REV) analysis based on porosity. - image-rev/README.md at main mcastrorib/image-rev
image-rev/README.md at main mcastrorib/image-rev - GitHub
Image-revIntroductionimage-rev is an open-source terminal application for micro tomographic images Representative Element Volume (REV) analysis based on porosity. As input, it receives a list of pre-proccessed binary images that identifies each phase (porous or matrix). The output is a simple .csv file with the measured porosity for specific REV sizes. In addition, user's can also extract a representative volume from the original image. Currently, image-rev runs only in linux and it is majorly written in C++ and requires CMake 3.8 or greater for project build and compilation and OpenCV for image preccessing. Also, some simple Python scripts for data visualization that requires Matplotlib.FeaturesRepresentative Volume (REV) analysis of a 3D binary image;Representative Volume (REV) extraction from a 3D binary image;RequirementsThe following software and libraries are required:CMake (3.8 or greater);OpenCV;Python 3;NumPy;Pandas;Matplotlib.Installationimage-rev execution requires three steps: C++ requirements installation, Python requirements installation and Project build/compilation.For the C++ requirements, update the package manager repositories. E.g., for Ubuntu distro:Now install CMake and OpenCV via apt:sudo snap install cmake --classicsudo apt install libopencv-dev python3-opencvFor the Python requirements, we recommend using pip3 as:pip3 install numpypip3 install pandaspip3 install matplotlibNow that all the requirements are installed, run the bash script install.sh at the project root directory for building the project and compiling the image-rev executable:How to runAfter the image-rev application is succesfully installed, it can be run via the image-rev executable at the project root directory. The application input configuration is controlled via the image.conf file located at the config directory. This is a simple text editable file where the required inputs are organized in columns:ORIGIN_PATH: (string) path to the directory where input images files are saved;ORIGIN_FILE: (string) input image files prefix;EXTENSION: (string) input image files extension;DIGITS: (integer) number of numeric digits identifying the input image files;FIRST: (integer) first input image file index;COUNT: (integer) number of input image
The Image of Guadalupe (Rev) - amazon.com
Files;PORE_PHASE_COLOR: (integer) numeric value identifying the porous phase in the input image files;DESTINATION_PATH: (string) path to the directory where results will be saved;DESTINATION_FILE: (string) name of the folder where results will be saved;ANALYSIS: (boolean) REV analysis flag. Set as 'false' for extraction-only app execution;DATAVIS: (boolean) REV analysis visualization flag. Set as 'true' and a new window with the REV analysis visualization will be opened after analysis is finished;EXTRACT: (boolean) REV extraction flag. Set as 'false' for analysis-only app execution;REV_METHOD: (string) REV analysis method, it can be 'central' (REV grows from central cubic) or 'mc' (growing REVs are choosenrandomly throughout the volume);REV_SIZES: (integer) number of REV sizes used in the analysis;MAX_REV_SAMPLES: (integer) number of REV samples used for each REV size (only used for 'mc' analysis).ExampleA very naive application is provided as an example of usage. A list of image files representing a digitalized spherical grain 3D model is provided in the directory sphere inside the directory examples. Figure 1: Slice of digitalized sphere used for usage example.The step-by-step instructions to perform a REV analysis of these images:Setting the input file:Use your preferable text editor to edit image.conf file in config directory. We will explain each entry column by column later, but, in a nutshell, the edited content should be:% This file is used as input for image-rev applicationORIGIN_PATH: ./examples/sphere/ORIGIN_FILE: sphere_r=20voxels_EXTENSION: .pngDIGITS: 2FIRST: 0COUNT: 40PORE_PHASE_COLOR: 0DESTINATION_PATH: ./examples/revs/DESTINATION_FILE: REV-sphere-exampleANALYSIS: trueDATAVIS: trueEXTRACT: trueREV_METHOD: centerREV_SIZES: 40MAX_REV_SAMPLES: 1Notice we use a relative path in the ORIGIN_PATH field pointing to the aforementioned examples/sphere directory.Inside this folder, there 40 PNG images named "sphere_r=20voxels_00.png", "sphere_r=20voxels_01.png", ..., "sphere_r=20voxels_39.png".The following fields are used to parse these file names so that the image-rev application correctly proccess them in the right order.In the ORIGIN_FILE field, we put the image files regular prefix, i.e., the invariant chars in all the image file names.TheRev It Up - Image by Image - Beacon of Hearts
Data leakage risks are reduced. Learn more about private links at - Disabled2.0.0VM Image Builder templates should use private linkAzure Private Link lets you connect your virtual network to Azure services without a public IP address at the source or destination. The Private Link platform handles the connectivity between the consumer and services over the Azure backbone network. By mapping private endpoints to your VM Image Builder building resources, data leakage risks are reduced. Learn more about private links at: Disabled, Deny1.1.0Protection of Confidentiality and Integrity Using EncryptionID: NIST SP 800-53 Rev. 5 AC-17 (2)Ownership: SharedName(Azure portal)DescriptionEffect(s)Version(GitHub)Notify users of system logon or accessCMA_0382 - Notify users of system logon or accessManual, Disabled1.1.0Protect data in transit using encryptionCMA_0403 - Protect data in transit using encryptionManual, Disabled1.1.0Managed Access Control PointsID: NIST SP 800-53 Rev. 5 AC-17 (3)Ownership: SharedName(Azure portal)DescriptionEffect(s)Version(GitHub)Route traffic through managed network access pointsCMA_0484 - Route traffic through managed network access pointsManual, Disabled1.1.0Privileged Commands and AccessID: NIST SP 800-53 Rev. 5 AC-17 (4)Ownership: SharedName(Azure portal)DescriptionEffect(s)Version(GitHub)Authorize remote accessCMA_0024 - Authorize remote accessManual, Disabled1.1.0Authorize remote access to privileged commandsCMA_C1064 - Authorize remote access to privileged commandsManual, Disabled1.1.0Document remote access guidelinesCMA_0196 - Document remote access guidelinesManual, Disabled1.1.0Implement controls to secure alternate work sitesCMA_0315 - Implement controls to secure alternate work sitesManual, Disabled1.1.0Provide privacy trainingCMA_0415 - Provide privacy trainingManual, Disabled1.1.0Disconnect or Disable AccessID: NIST SP 800-53 Rev. 5 AC-17 (9)Ownership: SharedName(Azure portal)DescriptionEffect(s)Version(GitHub)Provide capability to disconnect or disable remote accessCMA_C1066 - Provide capability to disconnect or disable remote accessManual, Disabled1.1.0Wireless AccessID: NIST SP 800-53 Rev. 5 AC-18Ownership: SharedName(Azure portal)DescriptionEffect(s)Version(GitHub)Document and implement wireless access guidelinesCMA_0190 - Document and implement wireless access guidelinesManual, Disabled1.1.0Protect wireless accessCMA_0411 - Protect wireless accessManual, Disabled1.1.0Authentication and EncryptionID: NIST SP 800-53 Rev. 5 AC-18 (1)Ownership: SharedName(Azure portal)DescriptionEffect(s)Version(GitHub)Document and implement wireless access guidelinesCMA_0190 - Document and implement wireless access guidelinesManual, Disabled1.1.0Identify and authenticate network. Rev Image lol. Rev Image. Proudly powered by WordPressWordPressDave Chappelle at Image Awards - Rev
EXTENSION and COUNT fields are ".png" and "40", respectively, for obvious reasons.The DIGITS field is set as "2" because that is the exactly number of digits used in the file names index order identification (*"00.png", *"01.png", *"02.png" etc).The PORE_PHASE_COLOR corresponds to the pixel value of the porous phase in the provided images. Here, we assume that the black pixels represent the porous phase.In the DESTINATION_PATH filed, we put the relative path to directory examples/revs where REV analysis will be saved. Be sure that this directory exists in your file system.In the DESTINATION_FILE field, we put "REV-sphere-example" so that a new folder with this name will be created in examples/revs to store REV analysis results.Fields ANALYSIS, DATAVIS and EXTRACT are all setted as "true", meaning that a REV analysis will be performed, a data visualization will pop up in the user screen and a, after that, a REV will be extracted from the original image.The REV_METHOD field is set as "center", so REVs will incrementally grow from a central position in the 3D model.REV_SIZES is set as "40". Although MAX_REV_SIZES is set as "1", it is not used by the analysis with the "center" method.Running the application:Now that the input file is set, we can run the executable from the project root directory:After checking cohesion in image data, the application reads the data, builds the 3D model and start the REV analysis.Once the analysis is completed the REV analysis results are shown: Figure 2: REV analysis digitalized sphere used for usage example.The above image is automatically saved at the results directory.The application then asks if the user wants a REV extraction from the original image. Answer "yes" ("y" and "Y" are also valid) and it will asks for the size of the desired REV, and the extracted REV files will beThe Background and Meaning of the Image of the Beast in Rev.
XStation Image RenamerA utility to rename CUE/BIN files to reflect folder name, as to customize game list as it appears in xStation's menu.The xStation uses the first data track of a disc image (minus its file extension) as that game's label in its menu. As a result, the only way to customize the way game names appear in the menu is to modify the filenames of the disc images themselves. Doing so manually is tedious, as not only do the filenames of the tracks themselves need to be renamed, but the corresponding CUE sheet must be modified to reflect said changes.Pointing this utility as an xStation-formatted SD card will automatically perform all of the file renaming, as well as CUE modification. The only pre-requisite is to first manually rename each game's folder to that which should be displayed in xStation's menu. IMPORTANT: Please do not run this program against your daily-use xStation SD card. Instead, use a copy or backup until you're sure it works with your disc image collection.Current VersionxStation Image Renamer is currently at version 1.2.ChangelogVersion 1.2 (2024-11-08)Added support for dragging SD card directly onto executable for ease of use.Version 1.1 (2022-09-15)Added proper CUE parsing to ignore files that aren't associated with disc image, as well as correctly process track files that aren't in alphanumeric order.Version 1.0 (2022-09-14)Initial release.Supported FeaturesBelow is a specific list of the current features.Support for disc images in CUE/BIN format (e.g., Redump), no other file extensions are presently supported.Support for nested folders on target SD card.Support for disc images with more than one track (i.e., multiple BIN files).Folders without a CUE and at least one BIN file are ignored.Example UsageFor convenience, an SD card can be dragged directly onto xstation_renamer.exe.Alternatively, it can be invoked at the command line, as seen below.">xstation_renamer Example ScenarioIn this example, the directory structure of our SD card (E:) appears as follows. ----------├── JAPAN│ └── ...Iru! (Japan)│ ├── ...Iru! (Japan) (Track 1).bin│ ├── ...Iru! (Japan) (Track 2).bin| └── ...Iru! (Japan).cue├── TRANSLATIONS│ └── Harmful Park (English v1.1)│ ├── Harmful Park (English v1.1).bin│ └── Harmful Park (English v1.1).cue└── USA └── Tomb Raider (USA) (Rev 6) ├── Tomb Raider (USA) (Rev 6) (Track 01).bin ├── Tomb Raider (USA) (Rev 6) (Track 02).bin ├── Tomb Raider (USA) (Rev 6) (Track 03).bin ├── Tomb Raider (USA) (Rev 6) (Track 04).bin ├── Tomb Raider (USA) (Rev 6) (Track 05).bin ---------- ---------- ├── Tomb Raider (USA) (Rev 6) (Track 55).bin ├── Tomb Raider (USA) (Rev 6) (Track 56).bin ├── Tomb Raider (USA) (Rev 6) (Track 57).bin └── Tomb Raider (USA) (Rev 6).cue">E:\├── 00xstation│ └── ---------- ----------├── JAPAN│ └── ...Iru! (Japan)│ ├── ...Iru! (Japan) (Track 1).bin│ ├── ...Iru! (Japan) (Track 2).bin| └── ...Iru! (Japan).cue├── TRANSLATIONS│ └── Harmful Park (English v1.1)│ ├── Harmful Park (English v1.1).bin│ └── Harmful Park (English v1.1).cue└── USA └── Tomb Raider (USA) (Rev 6) ├── Tomb Raider (USA) (Rev 6) (Track 01).bin ├── Tomb Raider (USA) (Rev 6) (Track 02).bin ├── Tomb Raider (USA) (Rev 6) (Track 03).bin ├── Tomb Raider (USA) (Rev 6) (TrackGitHub - mcastrorib/image-rev: A console application for
Free drivers for HP Compaq LA1951g. Found 4 files.Please select the driver to download. Additionally, you can choose Operating System to see the drivers that will be compatible with your OS. If you can not find a driver for your operating system you can ask for it on our forum. Manufacturer:HP Hardware:HP Compaq LA1951g Software name:Display Assistant Utility Version:2.10 Rev. A Released:14 Dec 2012 Rating:5/5System:Windows 8Windows 8 64-bitWindows 7Windows 7 64-bitWindows VistaWindows Vista 64-bitWindows XPDescription:Display Assistant Utility for HP Compaq LA1951gType: Utility - ToolsThis package contains the HP Display Assistant Utility for the supported HPMonitor Models. The HP Display Assistant Utility is a monitor control andcalibration program that offers an easy step-by-step process for obtaining thebest overall picture quality for your HP display.Monitor performance can vary due to the graphics card, host computer, lightingconditions, and other environmental factors. Getting the best image on amonitor requires you to adjus... Download HP Compaq LA1951g Display Assistant Utility v.2.10 Rev. A driver Manufacturer:HP Hardware:HP Compaq LA1951g Software name:Adjustment Pattern Utility Version:2.80 Rev. A Released:28 Nov 2012 Rating:5/5System:Windows 8Windows 8 64-bitWindows 7Windows 7 64-bitWindows VistaWindows Vista 64-bitWindows XPDescription:Adjustment Pattern Utility for HP Compaq LA1951gType: Utility - ToolsThis package contains the HP Adjustment Pattern Utility. This utility is asingle-pattern program that is designed to help improve the picture quality ofHP and Compaq Flat-Panel Monitors that are attached to computers using ananalog video cable (VGA connector).The HP Adjustment Pattern utility helps to improve the following image qualitycharacteristics:- Fuzzy or unclear focus- Ghosting, streaking, or shadowing effects- Faint vertical ba... Download HP Compaq LA1951g Adjustment Pattern Utility v.2.80 Rev. A driver Manufacturer:HP Hardware:HP Compaq LA1951g Software name:LCD First-Aid Utility Version:2.00 Rev. A Released:28 Nov 2012System:Windows 8Windows 8 64-bitWindows 7Windows 7 64-bitWindows VistaWindows Vista 64-bitWindows XPDescription:LCD First-Aid Utility for HP Compaq LA1951gType: Utility - ToolsThis package contains the HP LCD First-Aid Utility for the supported HP Monitor Models. The HP LCD First-Aid Utility contains several test patterns that help in improving focus clarity and minimizing image retention or ghosting effects on the supported flat-panel monitors. Download HP Compaq LA1951g LCD First-Aid Utility v.2.00 Rev. A driver Manufacturer:HP Hardware:HP Compaq LA1951g Software name:Compaq LA1951 LCD Monitor Driver Version:1.00 Rev. A Released:09 Aug 2010System:Windows 7Windows 7 64-bitWindows VistaWindows Vista 64-bitWindows XPWindows 2000Description:Compaq LA1951 LCD Monitor Driver for HP Compaq LA1951gType: Driver - Display / MonitorThis package contains the HP Display Installer program, which automaticallydetects the Microsoft Operating System on your computer and installs thecorresponding .INF and .ICM driver files that are used to configure the 48,3-cm(19-inch) HP Compaq LA1951 LCD Monitor.The setup information, or .INF file, defines monitor resources used byMicrosoft Operating Systems in order to ensure monitor compatibility with thegraphics card insta... Download HP Compaq LA1951g Compaq LA1951 LCD Monitor Driver v.1.00 Rev. A. Rev Image lol. Rev Image. Proudly powered by WordPressWordPressComments
Image-revIntroductionimage-rev is an open-source terminal application for micro tomographic images Representative Element Volume (REV) analysis based on porosity. As input, it receives a list of pre-proccessed binary images that identifies each phase (porous or matrix). The output is a simple .csv file with the measured porosity for specific REV sizes. In addition, user's can also extract a representative volume from the original image. Currently, image-rev runs only in linux and it is majorly written in C++ and requires CMake 3.8 or greater for project build and compilation and OpenCV for image preccessing. Also, some simple Python scripts for data visualization that requires Matplotlib.FeaturesRepresentative Volume (REV) analysis of a 3D binary image;Representative Volume (REV) extraction from a 3D binary image;RequirementsThe following software and libraries are required:CMake (3.8 or greater);OpenCV;Python 3;NumPy;Pandas;Matplotlib.Installationimage-rev execution requires three steps: C++ requirements installation, Python requirements installation and Project build/compilation.For the C++ requirements, update the package manager repositories. E.g., for Ubuntu distro:Now install CMake and OpenCV via apt:sudo snap install cmake --classicsudo apt install libopencv-dev python3-opencvFor the Python requirements, we recommend using pip3 as:pip3 install numpypip3 install pandaspip3 install matplotlibNow that all the requirements are installed, run the bash script install.sh at the project root directory for building the project and compiling the image-rev executable:How to runAfter the image-rev application is succesfully installed, it can be run via the image-rev executable at the project root directory. The application input configuration is controlled via the image.conf file located at the config directory. This is a simple text editable file where the required inputs are organized in columns:ORIGIN_PATH: (string) path to the directory where input images files are saved;ORIGIN_FILE: (string) input image files prefix;EXTENSION: (string) input image files extension;DIGITS: (integer) number of numeric digits identifying the input image files;FIRST: (integer) first input image file index;COUNT: (integer) number of input image
2025-04-05Files;PORE_PHASE_COLOR: (integer) numeric value identifying the porous phase in the input image files;DESTINATION_PATH: (string) path to the directory where results will be saved;DESTINATION_FILE: (string) name of the folder where results will be saved;ANALYSIS: (boolean) REV analysis flag. Set as 'false' for extraction-only app execution;DATAVIS: (boolean) REV analysis visualization flag. Set as 'true' and a new window with the REV analysis visualization will be opened after analysis is finished;EXTRACT: (boolean) REV extraction flag. Set as 'false' for analysis-only app execution;REV_METHOD: (string) REV analysis method, it can be 'central' (REV grows from central cubic) or 'mc' (growing REVs are choosenrandomly throughout the volume);REV_SIZES: (integer) number of REV sizes used in the analysis;MAX_REV_SAMPLES: (integer) number of REV samples used for each REV size (only used for 'mc' analysis).ExampleA very naive application is provided as an example of usage. A list of image files representing a digitalized spherical grain 3D model is provided in the directory sphere inside the directory examples. Figure 1: Slice of digitalized sphere used for usage example.The step-by-step instructions to perform a REV analysis of these images:Setting the input file:Use your preferable text editor to edit image.conf file in config directory. We will explain each entry column by column later, but, in a nutshell, the edited content should be:% This file is used as input for image-rev applicationORIGIN_PATH: ./examples/sphere/ORIGIN_FILE: sphere_r=20voxels_EXTENSION: .pngDIGITS: 2FIRST: 0COUNT: 40PORE_PHASE_COLOR: 0DESTINATION_PATH: ./examples/revs/DESTINATION_FILE: REV-sphere-exampleANALYSIS: trueDATAVIS: trueEXTRACT: trueREV_METHOD: centerREV_SIZES: 40MAX_REV_SAMPLES: 1Notice we use a relative path in the ORIGIN_PATH field pointing to the aforementioned examples/sphere directory.Inside this folder, there 40 PNG images named "sphere_r=20voxels_00.png", "sphere_r=20voxels_01.png", ..., "sphere_r=20voxels_39.png".The following fields are used to parse these file names so that the image-rev application correctly proccess them in the right order.In the ORIGIN_FILE field, we put the image files regular prefix, i.e., the invariant chars in all the image file names.The
2025-04-05EXTENSION and COUNT fields are ".png" and "40", respectively, for obvious reasons.The DIGITS field is set as "2" because that is the exactly number of digits used in the file names index order identification (*"00.png", *"01.png", *"02.png" etc).The PORE_PHASE_COLOR corresponds to the pixel value of the porous phase in the provided images. Here, we assume that the black pixels represent the porous phase.In the DESTINATION_PATH filed, we put the relative path to directory examples/revs where REV analysis will be saved. Be sure that this directory exists in your file system.In the DESTINATION_FILE field, we put "REV-sphere-example" so that a new folder with this name will be created in examples/revs to store REV analysis results.Fields ANALYSIS, DATAVIS and EXTRACT are all setted as "true", meaning that a REV analysis will be performed, a data visualization will pop up in the user screen and a, after that, a REV will be extracted from the original image.The REV_METHOD field is set as "center", so REVs will incrementally grow from a central position in the 3D model.REV_SIZES is set as "40". Although MAX_REV_SIZES is set as "1", it is not used by the analysis with the "center" method.Running the application:Now that the input file is set, we can run the executable from the project root directory:After checking cohesion in image data, the application reads the data, builds the 3D model and start the REV analysis.Once the analysis is completed the REV analysis results are shown: Figure 2: REV analysis digitalized sphere used for usage example.The above image is automatically saved at the results directory.The application then asks if the user wants a REV extraction from the original image. Answer "yes" ("y" and "Y" are also valid) and it will asks for the size of the desired REV, and the extracted REV files will be
2025-04-09