Displaying 1 to 11 from 11 results

gocv - Go package for computer vision using OpenCV 3.3+

  •    Go

The GoCV package provides Go language bindings for the OpenCV 3 computer vision library.GoCV supports the latest release of OpenCV (v3.3) on Linux, OS X, and (soon) Windows.

opencv3-android-sdk-with-contrib - Build OpenCV3 Android SDK with contrib modules

  •    C++

The official build doesn't provide contrib modules. This build includes all the opencv-contrib modules. Go to ./OpenCV-android-sdk, just like the offical SDK, all are there including contrib modules.

Practical_OpenCV3_Python - Projects for Video Series titled "Practical OpenCV3 Image Processing with Python"

  •    Jupyter

In this volume we will start with applying image processing techniques to various sources and try to built an intuition for how image processing is an essential step in every large scale computer vision pipeline. We will learn about what good features are in this Volume and methods to extract them. We will be focus on learning algorithms that can train over these features in the Volume 2 with applications being applying various filters, performing edge detection, thresholding, image processing and transformation techniques, working with blobs/contours and image segmentation techniques. The next volume will deal with application that combine Computer Vision techniques with machine learning to build more intelligent application like real-time face tracking, head pose estimation , gesture tracking using 2D cameras etc. Understanding Volume 1 is crucial to get started with the Volume 2 , so it is expected to complete the entire Volume 1 along with the applications based on it.

docker-opencv - OpenCV 3.4.0 + Modules Docker image


In your python script simply import OpenCV import cv2. If you want to use this image on ARM-Architectures use dymat/opencv:arm32v7, which is based on arm32v7/ubuntu and compiled on Raspberry Pi 3 (ARMv7).

opencv3-setup - Raspberry Pi whiptail Menu driven Easy Install and Compile of opencv3 python from source files

  •    Shell

After update/upgrade and optional reboot is complete, Select DEP menu pick. If there are no problems, you will be prompted with a simple y/n to continue without having to return to the main menu. If there are issues that need to be resolved you can continue by selecting the appropriate main menu pick. From a logged in RPI SSH session or console terminal perform the following. This will allow you to review the code before installing.

sonic-track - Uses a raspberry pi camera or web cam and python opencv to track motion in camera view

  •    Python

This demo app sends camera movement tracking data to sonic-pi music program. sonic-track sends data to sonic-pi via psonic.py and pythonosc. You will need a pi camera and a powered speaker connected to the Raspberry Pi audio/video plug via appropriate cables or you can attach RPI to an HDMI TV via HDMI cable and sound will redirect to TV speakers. I thought it would be interesting to point the camera at a fish tank or other source of video movement to see what sounds are generated. You can also stand in front of the camera and generate sounds via body movements. This program demo is a very basic setup but more elaborate sonic-pi sound generation algorithms are possible.

gocv-playground - This repo contains various https://gocv.io/ examples

  •    Go

This repo contains various gocv examples. Many of these tutorials are heavily inspired by the awesome Python OpenCV tutorials you can find here.

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