📄️ Introduction to OpenCV
intro
📄️ Installing OpenCV
Installing OpenCV on the WalnutPi 1B is very simple — just use pip to install it. It is recommended to install the opencv-contrib-python library, which includes both the OpenCV main module and the contrib module for complete functionality.
📄️ Basic Image Operations
After successfully installing OpenCV on the WalnutPi in the previous section, this section will teach you how to implement some basic image operations using Python programming with the OpenCV library, such as: opening (reading) images, displaying images, saving images, and obtaining image property information.
📄️ Image Basics
Introduction to Pixels
🗃️ Drawing
2 items
🗃️ Image Processing
3 items
🗃️ Image Detection
5 items
📄️ Using a USB Camera
The camera is like OpenCV's eyes. With a camera, you can process video streams and images captured by the camera in real time, implementing image processing and machine vision algorithms on them.
📄️ Using an LCD
WalnutPi 3.5-inch LCD
🗃️ Vision Recognition
5 items