Stable release for EM providers

This is a minor update that addresses some docker issues and the documentation. For issues contact the developers at [email protected].

In addition to the Windows x64 binaries provided here, a Docker image is also available for download from DockerHub with:

docker pull cvisionai/openem:v0.1.2

You can also visit the DockerHub page here.

Note that the Windows binaries were linked to dynamic libraries, so to run them you will need to install OpenCV, Tensorflow, CUDA, and CuDNN and make sure they are in your system path. Versions of these with links are documented in the build instructions.

New in this release:

• Fix minor issues in docker image
• Add X11 instructions

Stable release for EM providers

This is a minor update that addresses some docker issues and the documentation. For issues contact the developers at [email protected].

In addition to the Windows x64 binaries provided here, a Docker image is also available for download from DockerHub with:

docker pull cvisionai/openem:v0.1.1

You can also visit the DockerHub page here.

Note that the Windows binaries were linked to dynamic libraries, so to run them you will need to install OpenCV, Tensorflow, CUDA, and CuDNN and make sure they are in your system path. Versions of these with links are documented in the build instructions.

New in this release:

• Fixed issues with training library in docker image
• Updated documentation

Initial stable release for EM providers

This is the first stable release for use by EM providers. For issues contact the developers at [email protected].

In addition to the Windows x64 binaries provided here, a Docker image is also available for download from DockerHub with:

docker pull cvisionai/openem:v0.1.0

Note that the Windows binaries were linked to dynamic libraries, so to run them you will need to install OpenCV, Tensorflow, CUDA, and CuDNN and make sure they are in your system path. Versions of these with links are documented in the build instructions.

New in this release:

• Fully functional training library
• End to end tutorial covering training and deployment
• Test scripts for evaluating trained model performance
• Docker image to support Linux and macOS applications

Alpha release for Windows x64

This is a preview release for evaluation. For issues contact the developers at [email protected].

Note that the example binaries were linked to dynamic libraries, so to run them you will need to install OpenCV, Tensorflow, CUDA, and CuDNN and make sure they are in your system path. Versions of these with links are documented in the build instructions.

New in this release:

• Training library that currently only supports detection.

Alpha release for Windows x64

This is a preview release for evaluation. For issues contact the developers at [email protected].

Note that the example binaries were linked to dynamic libraries, so to run them you will need to install OpenCV, Tensorflow, CUDA, and CuDNN and make sure they are in your system path. Versions of these with links are documented in the build instructions.

New in this release:

• Counting functionality added to deployment library.

Alpha release for Windows x64

This is a preview release for evaluation. For issues contact the developers at [email protected].

Note that the example binaries were linked to dynamic libraries, so to run them you will need to install OpenCV, Tensorflow, CUDA, and CuDNN and make sure they are in your system path. Versions of these with links are documented in the build instructions.