Sparkling Alkali

Change log

• add ml models store
• add Russian UI
• add application settings
• add update function
• beauty icons
• semantic versioning

A: 0.3.3-preview4

Change log

🔥 Hotfix update 🔥

• add piont to the Google and Yandex maps, add OpenStreetMap #83
• fix bugs: #82

Ussage

system requirements
CPU support for Windows/Linux/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./LacmusApp

Windows

go to directory with app
run LacmusApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• linux - most computer linux distributions (x64 only!), such as Ubuntu, CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

A: 0.3.3-preview3

Change log

• update to latest avaloniaUI-0.9.4 -> avaloniaUI-0.9.6
• fix multiple bugs with osx
• better performance
• add asynchronous photo upload
• beautiful about window #19
• beautiful photo metadata #18
• add progress in the status bar #16
• beautiful paging control #79
• add image indecators and better filenames #47
• rename project from ResquerLaApp to LacmusApp
• fix bugs: #75 #70 #52 #51 #48

Ussage

system requirements
CPU support for Windows/Linux/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./LacmusApp

Windows

go to directory with app
run LacmusApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• linux - most computer linux distributions (x64 only!), such as Ubuntu, CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

A: 0.3.3-preview2

Change log

• update to latest avaloniaUI-0.9.2 -> avaloniaUI-0.9.4
• update to latest netcoreapp2.2 -> netcoreapp3.1
• one binary for cpu and gpu inference
• runtime unification for Linux distributions
• fix multiple bugs with osx
• fix multiple bugs Linux
• better performance
• better ui with Citrus.Avalonia (thanks @worldbeater for awesome styles)
• add wizard mode
• add ability to change ml-model configurations
• close #8 #14 #17 #38 #40

Ussage

system requirements
CPU support for Windows/Linux/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./ReacuerLaApp

Windows

go to directory with app
run ReacuerLaApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• linux - most computer linux distributions (x64 only!), such as Ubuntu, CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

oxidatio

Change log

• update to latest avaloniaUI-0.9-preview6
• fix critical bug with windows #48
• fix multiple bugs with osx
• fix multiple bugs Linux
• better performance
• windows fully supported
• osx Catalina fully supported
• add show and hide bounding box function
• add favorites images
• convert GPS tags to correct format (Google, Yandex comparable)
• add material disign

Ussage

system requirements
CPU support for Windows/Linux/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime use runtime with -gpu suffix

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./ReacuerLaApp

Windows

go to directory with app
run ReacuerLaApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• ubuntu16; ubuntu18 - linux ubuntu 16.04 and 18.04 (x64 only!)
• linux - most computer linux distributions (x64 only!), such as CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

attrahenti manifestationem

Bug fix

Change log

• update to latest avaloniaUI-0.9-preview6
• fix criticlal bug with windows #48
• fix multiple bugs with osx
• fix multiple bugs linux
• better performance
• windows fully supported
• osx catalina fully supported

Ussage

system requirements
CPU support for Windows/Linux/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime use runtime with -gpu suffix

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./ReacuerLaApp

Windows

go to directory with app
run ReacuerLaApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• ubuntu16; ubuntu18 - linux ubuntu 16.04 and 18.04 (x64 only!)
• linux - most computer linux distributions (x64 only!), such as CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

manifestationem

First public alpha

Change log

• fix bugs with model updating
• add auth function and crypt keys

Ussage

system requirements
CPU support for Windows/Linux (recommend)/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

Attention: Windows version have a critical bug with CPU cash. It happens cause Windows works with glx incorrect. We are working on ti. See #48 for more details.

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime use runtime with -gpu suffix

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./ReacuerLaApp

Windows

go to directory with app
run ReacuerLaApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• ubuntu16; ubuntu18 - linux ubuntu 16.04 and 18.04 (x64 only!)
• linux - most computer linux distributions (x64 only!), such as CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

amphotericity

Change log

• fix bugs with model updating
• add message boxes
• add geo-tags support
• add help and about function
• add ability to save images with objects in specific folder

Ussage

system requirements
CPU support for Windows/Linux (recommend)/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

Attention: Windows version have a critical bug with CPU cash. It happens cause Windows works with glx incorrect. We are working on ti. See #48 for more details.

1. Installation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime use runtime with -gpu suffix

2. Usage

Linux\CentOS\OSX

cd /directory/with/app/
./ReacuerLaApp

Windows

go to directory with app
run ReacuerLaApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• ubuntu16; ubuntu18 - linux ubuntu 16.04 and 18.04 (x64 only!)
• linux - most computer linux distributions (x64 only!), such as CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)

endless allotropy

• fix bugs with model updating
• add message boxes

allotropy

Change log

• fix bugs with docker
• fix render timer bug at avalonia 0.8.x
• update avalonia ui 0.8.0 => 0.8.2
• speed up image loading on linux
• smaller docker images size
• add gpu support
• add api versioning support

Ussage

system requirements
CPU support for Windows/Linux (recommend)/CentOS/MacOS X
GPU support ONLY for linux, only nvidia graphic support

OS: Windows 10 / Lunux / MacOS X (x64 only!).
CPU: 2x+ Core CPU (with AVX, SSE SSE2 SSE3 SSE4 SSE4.1) Intel Core i3/i5/i7/xeon Sandy Bridge / AMD Buldozer and higher (Note: intel celeron does not support!)
GPU (Optional): GTX, 4Gb vRAM, CUDA 9.1+ comparable (including CUDA 10 and higher), no CUDA driver required, e.g. GTX 950m and higher
RAM: 4096 mb RAM and higher
Storage: 5gb free disk space (10gb free disk space for GPU version)

Attention: Windows version have a critical bug with CPU cashe. It heppens couse Windows works with glx incorrect. We are working on ti.

1. Instalation

CPU

• install docker and docker service (and add user to docker group for linux)
• unzip archive with your runtime

GPU

• install docker and docker service (and add user to docker group for linux)
• install nvidia-docker and run it
• unzip archive with your runtime use runtime with -gpu suffix

2. Ussage

Linux\CentOS\OSX

cd /directory/with/app/
./ReacuerLaApp

Windows

go to directory with app
run ReacuerLaApp.exe

Supported Runtimes (x64 only!)

• win10 - windows 10 pro (x64 only!)
• ubuntu16; ubuntu18 - linux ubuntu 16.04 and 18.04 (x64 only!)
• linux - most computer linux distributions (x64 only!), such as CentOS, Debian, Fedora, Arch, Gentoo and their derivatives
• osx - macOS 10.12 Sierra or higher (x64 only!)