I have stopped developing videoplayR. Instead, I have created two libraries to replace it:
ROpenCVLite: this library downloads, compiles, and installs OpenCV within the R library in a standardized location across Mac, Windows, and Linux. It doesn't provide any computer vision functions directly, but allows developers to create packages using OpenCV without having to worry about the platform of the end-user.Rvision: this library depends onROpenCVLiteand provides computer vision functions somewhat similar to the discontinuedvideoplayRpackage.
Besides making sure that OpenCV is installed in a standardized location across platforms, this new organization also allows updating Rvision frequently without having to recompile OpenCV every time, like it was happening with videoplayR (ROpenCVLite needs reinstalling only when a new release of OpenCV becomes available).
I recommend that you try out the two new packages instead (they should both install fine on Windows), and report bugs, feature requests, and comments on their respective repository. I don't have much time at the moment to push their development, but it'll be helpful to know what people have a need for when I get back to it.
videoplayR is an R package that provides a few functions (for now) to manipulate
video and image files with R. It requires the installation of OpenCV.
>>> Package vignette: http://rpubs.com/sjmgarnier/videoplayR <<<
This package uses the OpenCV C++ library to provide R users
with some basic functions to read and manipulate video and image files. As of now,
videoplayR can:
- Load can access video and image files, as well as camera streams.
- Grab frames from videos and camera streams, and convert them to images.
- Convert images to R matrices and arrays.
- Convert R matrices and arrays to images.
- Display images in the default R graphics device.
- Perform basic image processing operations such as thresholding, flattening, blending.
- Perfom simple background reconstruction and blob detection.
videoplayR requires the installation of the OpenCV library to compile and run.
For the moment, the package can only be installed on Mac and Linux computers.
Installation instructions for OpenCV and videoplayR, as well as a brief tutorial
for the different functions of the package are available on Rpubs at the following
address: http://rpubs.com/sjmgarnier/videoplayR.
Issues and suggestions can be reported here: https://github.com/swarm-lab/videoplayR/issues
Pull requests can be submitted here: https://github.com/swarm-lab/videoplayR/pulls
Simon Garnier - @sjmgarnier - garnier@njit.edu
This package uses the OpenCV library to read and process video files. More information about OpenCV can be found at: http://opencv.org/