Change log 🎸

• Fix the bug when the application wasn't self-contained #159

Change log 🎸

• add altitude geo-tag
• fix Exif reading errors
• update Avalonia 0.10.12 -> 0.10.22
• update dotnet 6.x -> 8.x
• refactor code and bug fixes

🚀 The beta testing period is over! It's a first public release! 🚀

Change log

• fix bug #144 when wizard's toggles work wrong
• fix many bugs
• update avalonia 0.10.6 -> 0.10.17
• update dotnet 5.x -> 6.x
• refactor code
• update ui #141
• add save as buttons
• add qr code
• add hotkeys
• add ci\cd
• add icons
• add save as properties

Change log

• fix bug #135 when bboxes are drawn incorrectly
• fix many bugs
• update avalonia 0.10.3 -> 0.10.6
• refactor code
• update ui #130 #121 #120 #114
• use relative paths when read from XML
• install models without internet
• threshold and repository URL settings

Change log

• public beta status
• fix many bugs
• update net core 3.1 -> net 5.0
• update avalonia 0.9.12 -> 0.10.3
• initial wayland support
• add plugin system
• new documentation
• support hardware
  • nVidia GPU support (linix, windows)
  • AMD GPU support (linux, windows)
  • Intel GPU support (windows)
  • coral edge TPU support (debian only)
  • intel movidius 2 support (linux)
• support ml frameworks
  • TensorFlow inference support (linux, windows, osx)
  • ONNX inference support (linux, windows, osx)
• support native ml back-ends
  • OneDNN inference support (CPU only, linux, windows, osx)
  • OpenVINO inference support (linux)
  • TensorTR inference support (linux)
  • CUDA inference support (linux, windows)
  • Direct.ML inference support (windows)
  • Coral Runtime inference support (debian only)

• fix #123

Change log

• fix many bugs
• update net core 3.1 -> net 5.0
• initial wayland support
• add plugin system
• support hardware
  • nVidia GPU support (linix, windows)
  • AMD GPU support (linux, windows)
  • Intel GPU support (windows)
  • coral edge TPU support (debian only)
  • intel movidius 2 support (linux)
• support ml frameworks
  • TensorFlow inference support (linux, windows, osx)
  • ONNX inference support (linux, windows, osx)
• support native ml back-ends
  • OneDNN inference support (CPU only, linux, windows, osx)
  • OpenVINO inference support (linux)
  • TensorTR inference support (linux)
  • CUDA inference support (linux, windows)
  • Direct.ML inference support (windows)
  • Coral Runtime inference support (debian only)

Change log

• fix localization errors #104
• fix parameter initialization #112
• fix urls for win 8.1 #106
• add Report image processing result button #66
• update Avalonia: 0.9.6 -> 0.9.12
  • fix Ubuntu (GTK) bugs
  • fix OS X drag and drop bugs
  • fix multiple UI render bugs
• update ML models 1.3 -> 1.4
  • x2 faster inference (OpenVINO / TRT)
  • OpenVINO support
  • Intel Movidius Compute Stick 2 support

Change log

• fix localization errors (russian), thanks @Wanteich @Виктория Мартынова
• fix cudafy (remove old package)
• fix open urls bug in windows
• add osx app

Change log

• fix wrong config path for linux
• fix window sizes
• add installers for debian / windows

Change log

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

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!)

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!)

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!)

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!)

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!)

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!)

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!)

• fix bugs with model updating
• add message boxes

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!)