OpenCV & Python – Drawing shapes and text on images
In this article we will begin to do one of the basic operations with the OPENCV library. We will see how to draw geometric figures and add text over a pre-existing image.
Never in the same shape
The Raspberry Pi is a series of credit card–sized single-board computers developed in the United Kingdom by the Raspberry Pi Foundation with the intention of promoting the teaching of basic computer science in schools and developing countries.
In this article we will begin to do one of the basic operations with the OPENCV library. We will see how to draw geometric figures and add text over a pre-existing image.
This is the second part of a series of articles dealing with bananas, if you have not read the first part you should take a look
BanaNAS: Installation and Configuration of a NAS server on BananaPi/Pro (Part 1)
The placing on the market of the Raspberry Pi (2012) marked a major change in the technological world.
One of the most innovative aspects that you can find on the Raspberry Pi and derivative boards (Banana Pi, ODROID, Orange Pi etc …) is the ability to contain the OS on a relatively small storage media (SD or MicroSD) and easy to replace. Practically you could also say that the SD or MicroSD is for Raspberry Pi what a hard drive is for a PC.
This article will begin to make the first steps with the OpenCV library. You will learn how to load an image and display it.
In This article we will see how to compile the source code and install version 3.0 of OpenCV on Raspberry. This article is then an introduction to a series of articles that will discuss the topic. So if you want to work with OpenCV you need to know compile and install on your system: in this case Raspbian.
Here we are to another article in the series Picamera & Python. In This article we will see how to apply effects to images scanned by webcam.
In this article, you will deepen some topics on picamera Library: how to configure the webcam settings and how to add text on the image. You write a series of examples in Python to get familiar with these concepts. Finally, to conclude, a summary example about Video Surveillance with PiCamera – how to add the current time while shooting a video.
From the previous articles, you saw how to individually use the PiCamera webcam and the PIR Motion Detector through the Raspberry Pi board. In this article you will see how to combine the two to get a simple example of a surveillance system: When motion is detected in the room, a picture is taken to see who is the intruder.
In this article you will find out how to use the webcam integrated on Raspberry: the PiCamera. This additional module is an accessory to be reckoned with and I highly recommend to you if you wish to explore the world of Raspberry: the ability to take pictures and videos in HD.