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Optical Character Recognition is the process of recognizing text from an image by understanding and analyzing its underlying patterns. We will implement and compare various OCR algorithms provided by PaddleOCR
In this post, we will use MediaPipe to track hand gestures and convert them to appropriate actions like zooming in, blurring the background, and switching the camera on or off.
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 the TensorFlow
This is the third blog post in the Oak series. If you haven’t checked out the previous posts on OAK, check them below. In this post, we are going to
This blog post covers object detection training of the YOLOv5 model on a custom dataset using the small and medium YOLOv5 models.
A tutorial for using Mediapipe’s Face-Mesh to create Augmented Reality Facial Filters. We are sharing the code in Python.