Time: 13:30-17:30 (Half Day — Afternoon)
- How to run deep networks on Android device with OpenCV 4.0;
- How to run deep networks in browser with OpenCV 4.0;
- Custom deep learning layers support in OpenCV 4.0.
Also, given that data is becoming critically important in this domain, OpenCV now hosts Computer Vision Annotation Tool (CVAT) which is web-based, free, online, interactive video and image annotation tool for computer vision. Easy deployment using docker, friendly user interface, optimized workflows to annotate data for typical computer vision tasks like object detection, image classification, semantic and instance segmentation make it popular among researchers around the world. There will be practical session on CVAT.
We will also provide update on Open Model Zoo (pre-trained deep learning models and samples) that can be downloaded from https://github.com/opencv/open_model_zoo and cover new features of Intel® Deep Learning Deployment Toolkit (CNN quantization tool, 3D conv, etc) with performance characteristics and practical samples.
We will also present our view of the future development of OpenCV and tools.
A G E N D A
|15:30 – 16:00||Open Model Zoo. New models and performance. Trainable models.|
|16:00 – 16:30||Coffee break.|
|16:30 – 17:00||CNN compression. Int8 models and performance. Int1 models and performance.|
|17:00 – 17:30||Computer Vision Annotation Tool|