In the previous posts of the TFLite series, we introduced TFLite and the process of creating a model. In this post, we will take a deeper dive into Model Optimization. We will explore the different ...
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 image classification model on the custom dataset and ...
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 efficiency and wide scaled usability. We ...
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 OAK-D and DepthAIStereo Vision and Depth Estimation using ...
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 major versions in the YOLO family lineup - The official ones by ...
Create Snapchat/Instagram filters using Mediapipe
IntroductionAugmented RealityHow AR filters workMediaPipeWhy MediaPipeFace MeshImplementationPrerequisitesInstalling MediaPipePipeline overviewLandmark points from Face MeshSelecting points we ...
