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DepthAI Pipeline Overview: Creating a Complex Pipeline
Introduction Pipeline Nodes LinkIn/LinkOut ColorCamera EdgeDetector FeatureTracker ImageManip IMU ObjectTracker Script SpatialLocationCalculator VideoEncoder SystemLogger Complex pipeline by Linking nodes Code (Face detection + Facial Landmark
TensorFlow Lite Model Maker: Create Models for On-Device Machine Learning
In this blog post, we will learn to create a TensorFlow Lite model using the TF Lite Model Maker Library. We will fine-tune a pre-trained
TensorFlow Lite: Model Optimization for
On-Device Machine Learning
The recent trend in the development of larger and larger Deep Learning models for a slight increase in accuracy raises the concern about their computational
Object detection with depth measurement using pre-trained models with OAK-D
This is the third blog post in the Oak series. If you haven’t checked out the previous posts on OAK, check them below. Introduction to
Custom Object Detection Training using YOLOv5
Table of Contents Introduction What is YOLOv5? Models Available in YOLOv5 Features Provided by YOLOv5 Custom Object Detection Training using YOLOv5 Approach for Custom Training
Object Detection using YOLOv5 and OpenCV DNN in C++ and Python
You can either love YOLOv5 or despise it. You can’t ignore YOLOv5! YOLO has come a long way since its first release. There are eight
