Detectron2 Train a Instance Segmentation Model
Learn how to create a custom instance segmentation model using Detectron2.
Student Robotics and Artificial Intelligence at AAU Klagenfurt | Technical Writer
Learn how to create a custom instance segmentation model using Detectron2.
The LoRaWAN® specification is a Low Power, Wide Area (LPWA) networking protocol designed to wirelessly connect battery operated 'things' to the internet in regional, national or global networks.
LoRa is a spread spectrum modulation technique derived from chirp spread spectrum (CSS) technology. LoRa allows for long-range, low power wireless communication, often applied in IoT (Internet of Things) applications.
Creating math animations in Python with Manim, a mathematical animation engine made by 3Blue1Brown
Use your Tensorflow Object Detection model on edge devices by converting them to Tensorflow Lite.
Deploy your Streamlit application using Heroku, a platform as a service (PaaS)
Interpret PyTorch models with Captum.
Detectron2 is Facebooks new vision library that allows us to easily us and create object detection, instance segmentation, keypoint detection and panoptic segmentation models. Learn how to use it for both inference and training.
Turn your data science scripts and projects into beautiful websites/dashboards using Streamlit.
One of the most popular languages today is C# which is used for many applications. To use the power of Machine Learning in C# Microsoft created a package called ML.NET which provides all the basic Machine Learning functionality.
Gilbert Tanner is a robotics researcher and Bachelor student at the University of Klagenfurt.
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