ERF Computer Vision (erfcv) is a computer vision tool that utilizes ERF as its frontend. It offers a powerful and intuitive interface for image processing, object detection, and other computer vision tasks.
ERF Computer Vision (erfcv) is a software that provides a user-friendly interface to computer vision technology using ERF. It boasts numerous features, such as a Stereo Robot Head, simulated cameras, DC1394 support built in, Haar Features, and Camshift. These features are ideal for businesses and individuals who wish to explore the possibilities of computer vision.
To use ERF Computer Vision, users must have erf installed on their systems. Once this prerequisite is met, they can then install ERF Computer Vision by following these five simple steps:
1. Navigate to the directory that contains the package's source code and run `./configure` to configure the software for your system. If using `csh' on an outdated version of System V, users may need to run `sh ./configure' to prevent `csh' from attempting to execute `configure' itself. During the configuration process, users will receive messages informing them which features the software is checking for.
2. Run the 'make' command to compile the package.
3. Optionally, run `make check' to test any self-tests that come with the package.
4. Run `make install'to install the programs, data files, and documentation.
5. Remove the program binaries and object files from the source code directory by running `make clean'. To remove the files that `configure' created, including those that are no longer needed, run `make distclean.' There is also a `make maintainer-clean' target, but this is mainly intended for the package's developers.
This latest release of ERF Computer Vision boasts essential features, such as camera simulations, dc1394 acquisition, and OpenCV algorithms. This release is the initial version and is bound to receive improvements in future updates.
To use ERF Computer Vision, users must have erf installed on their systems. Once this prerequisite is met, they can then install ERF Computer Vision by following these five simple steps:
1. Navigate to the directory that contains the package's source code and run `./configure` to configure the software for your system. If using `csh' on an outdated version of System V, users may need to run `sh ./configure' to prevent `csh' from attempting to execute `configure' itself. During the configuration process, users will receive messages informing them which features the software is checking for.
2. Run the 'make' command to compile the package.
3. Optionally, run `make check' to test any self-tests that come with the package.
4. Run `make install'to install the programs, data files, and documentation.
5. Remove the program binaries and object files from the source code directory by running `make clean'. To remove the files that `configure' created, including those that are no longer needed, run `make distclean.' There is also a `make maintainer-clean' target, but this is mainly intended for the package's developers.
This latest release of ERF Computer Vision boasts essential features, such as camera simulations, dc1394 acquisition, and OpenCV algorithms. This release is the initial version and is bound to receive improvements in future updates.
What's New
Version 0.6.0: N/A