Roboflow | How to Deploy a Custom Model to your OpenCV AI Kit (OAK) | OpenCV + Roboflow Course 6/6 @Roboflow | Uploaded 3 years ago | Updated 9 minutes ago
We walk through how to deploy your custom computer vision model to the Luxonis OAK (OpenCV AI Kit). Once your model has finished training, here's the step-by-step instructions to follow to get it running live on your OAK!
For a blog version of this video, see: blog.roboflow.com/opencv-ai-kit-deployment
This video is a part of a series of videos on creating and deploying to your OAK. Missed the prior video in this series on training? Watch here: youtu.be/3XFwJuzyvSs The first video in the series is here: youtu.be/n0g0c8Ax2Sk
✅ bit.ly/rf-yt-sub
Deploying with the Roboflow Python Package (roboflowoak):
help.roboflow.com/en_US/guides/roboflow-python-package-for-oak-deployment
We walk through how to deploy your custom computer vision model to the Luxonis OAK (OpenCV AI Kit). Once your model has finished training, here's the step-by-step instructions to follow to get it running live on your OAK!
For a blog version of this video, see: blog.roboflow.com/opencv-ai-kit-deployment
This video is a part of a series of videos on creating and deploying to your OAK. Missed the prior video in this series on training? Watch here: youtu.be/3XFwJuzyvSs The first video in the series is here: youtu.be/n0g0c8Ax2Sk
✅ bit.ly/rf-yt-sub
Deploying with the Roboflow Python Package (roboflowoak):
help.roboflow.com/en_US/guides/roboflow-python-package-for-oak-deployment