Run Tensorflow models on the Jetson Nano with TensorRT
Run Tensorflow model on the Jetson Nano by converting them into TensorRT format.
Software engineer at Dynatrace | Student Robotics and Artificial Intelligence at AAU Klagenfurt | Technical Writer
Run Tensorflow model on the Jetson Nano by converting them into TensorRT format.
YOLO Object Detection on the Jetson Nano using TensorRT
The NVIDIA Jetson Nano Developer Kit is a small edge computer for AI development. The Jetson Nano Developer Kit packs a Quad-core ARM A57 CPU with a clock-rate of 1.43GHz and 4GB of low-power DDR4 Memory.
Train a custom yolo object detection model in PyTorch
Use and create YOLOV3 models with keras-yolo3.
Use YOLOv3 with OpenCV to detect objects in both images and videos.
Learn how to use YOLO for Object Detection.
Getting started with Mask R-CNN in Keras
Create a custom Mask R-CNN model with the Tensorflow Object Detection API.
Learn how to create a custom instance segmentation model using Detectron2.
Gilbert Tanner is a Software Engineer working at Dynatrace and a Robotics and Artificial Intelligence student at University of Klagenfurt.
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