Hello everyone. We have some exciting news to share today.
DeepStack is now open source on Github, johnolafenwa/DeepStack: The World’s Leading Cross Platform AI Engine for Edge Devices (github.com)
This is super exciting for us, and we are looking forward to developing DeepStack in partnership with you all for years to come.
** Custom Object Detection Support **
Beyond the 80 classes of objects DeepStack can detect, we now support training and deploying your custom object detection models on your own objects. This is fully supported across CPU, GPU and Jetson versions of DeepStack.
Visit Custom Models | DeepStack v1.0.1 documentation to end to end instructions on training and deploying your object detection model with DeepStack.
** New Documentation Site **
We have merged all the separate doc sites into one, https://docs.deepstack.cc
With this, we are going to be adding support for new languages soon, if you are interested in contributing to this, make a PR to johnolafenwa/deepstack-docs: Documentation for DeepStack (github.com)
For custom object detection support, install the latest versions of DeepStack
** Looking Forward **
The windows version of DeepStack with support for CPU and GPU will be released before Christmas. The RPI version will likely defer to January as we stabilize the docker versions and the new windows version.
Core priorities for us this December is making the docs more awesome for you all, making the codebase easier for you to contribute to and making the custom object detection training as seamless as possible.
We look forward to your feedbacks.