All Projects → swarm-lab → Rvision

swarm-lab / Rvision

Licence: gpl-3.0
Basic computer vision library for R

Programming Languages

r
7636 projects

Projects that are alternatives of or similar to Rvision

Curved Lane Lines
detect curved lane lines using HSV filtering and sliding window search.
Stars: ✭ 100 (-6.54%)
Mutual labels:  opencv
Arkit Multiplayer
ARKit multiplayer experience explanation & example
Stars: ✭ 106 (-0.93%)
Mutual labels:  opencv
Opencv Ndarray Conversion
NumPy ndarray ⇋ OpenCV Mat conversion, that just works.
Stars: ✭ 107 (+0%)
Mutual labels:  opencv
Opencv3 Intro Book Src
📘《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code
Stars: ✭ 1,369 (+1179.44%)
Mutual labels:  opencv
Is Now Illegal
🚫 A NERD protest against Trump's Immigration ban
Stars: ✭ 1,392 (+1200.93%)
Mutual labels:  opencv
Opencv Electron
Example for using opencv4nodejs with electron.
Stars: ✭ 107 (+0%)
Mutual labels:  opencv
Imagestitching
Conducts image stitching upon an input video to generate a panorama in 3D
Stars: ✭ 98 (-8.41%)
Mutual labels:  opencv
Aruco tracker
Aruco Markers for pose estimation
Stars: ✭ 111 (+3.74%)
Mutual labels:  opencv
Awesome Face Detection
Compare with various detectors - s3fd, dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition
Stars: ✭ 106 (-0.93%)
Mutual labels:  opencv
Jpdaf tracking
A tracker based on joint probabilistic data association filtering.
Stars: ✭ 107 (+0%)
Mutual labels:  opencv
Opencv Java Tutorials
Source for the OpenCV with Java tutorials
Stars: ✭ 102 (-4.67%)
Mutual labels:  opencv
Turtlebot3 simulations
Simulations for TurtleBot3
Stars: ✭ 104 (-2.8%)
Mutual labels:  opencv
Selfdrivingcar
A collection of all projects pertaining to different layers in the SDC software stack
Stars: ✭ 107 (+0%)
Mutual labels:  opencv
Pedestriancounter
Pedestrians detection and tracking using OpenCV on Python
Stars: ✭ 100 (-6.54%)
Mutual labels:  opencv
Opencvjs
Complete opencvjs (With the lastest OpenCV 4.0.0+)
Stars: ✭ 108 (+0.93%)
Mutual labels:  opencv
Caption ocr tool
视频硬字幕提取工具
Stars: ✭ 98 (-8.41%)
Mutual labels:  opencv
Hiitpi
A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..
Stars: ✭ 106 (-0.93%)
Mutual labels:  opencv
Ios Rubik Solver
An iOS app that detects a 3x3 Rubik's cube, recognizes the color of all cubies, solves it and provides a 3D visualisation of the solving process.
Stars: ✭ 111 (+3.74%)
Mutual labels:  opencv
Nvidia Gpu Tensor Core Accelerator Pytorch Opencv
A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
Stars: ✭ 110 (+2.8%)
Mutual labels:  opencv
Androidfacedetection
Android 平台进行人脸检测的几种方案
Stars: ✭ 106 (-0.93%)
Mutual labels:  opencv

Rvision - A computer vision library for R

R-CMD-check CRAN CRANLOGS DOI

Description

Rvision is a - small but growing - computer vision library for R. It is based on the powerful OpenCV library for C/C++, the state-of-the-art for computer vision in the open source world.

The ultimate goal of Rvision is to provide R users with all the necessary functions to read and manipulate images, videos and camera streams, with an emphasis on speed (thanks to OpenCV). In this respect, it is different from all the other image manipulations packages for R that either can not quickly and directly access frames from videos or camera streams or are limited in their processing speed and/or volume.


Quick start guides


FAQ

Can I take selfies with my webcam using Rvision?

You certainly can, but ask yourself first whether you should...

my_stream <- stream(0)   # 0 will start your default webcam in general. 
my_selfie <- readNext(my_stream)
plot(my_selfie)
release(my_stream)

Be careful, this will trigger the explosion of your camera if it detects that you are making a duck face ;-)

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].