Difference between revisions of "Manual"
m |
m |
||
| Line 12: | Line 12: | ||
# [[Tutorial Quick Start|Quick Start]] | # [[Tutorial Quick Start|Quick Start]] | ||
# [[Tutorial Images|Images in BoofCV]] | # [[Tutorial Images|Images in BoofCV]] | ||
# Reading Video Files | |||
Example Code: | Example Code: | ||
| Line 17: | Line 18: | ||
# [[Example Binary Image|Binary Images]] | # [[Example Binary Image|Binary Images]] | ||
# [[Example Image Pyramid| Image Pyramid]] | # [[Example Image Pyramid| Image Pyramid]] | ||
# Wavelet Noise Removal | |||
# Detecting Lines | |||
# Detecting Line Segments | |||
# [[Example Detect Interest Points| Detecting Interest Points]] | # [[Example Detect Interest Points| Detecting Interest Points]] | ||
# [[Example Associate Interest Points| Associate Interest Points]] | # [[Example Associate Interest Points| Associate Interest Points]] | ||
Revision as of 04:51, 7 December 2011
Development with BoofCV
The following manual provides an introduction to development with BoofCV. It is assumed that the reader is familiar with development in the Java programming language and the basics of computer vision. This manual primarily takes the form of tutorials. However, before going through the tutorials one should be familiar with coding standards use in BoofCV. Once these are understood one will be able to efficiently search the library or even guess the names of classes which are needed.
Click here for Coding Standards.
List of Examples and Tutorial
A few tutorials and examples are provided to provide the basic concepts of development with BoofCV.
Tutorials:
- Quick Start
- Images in BoofCV
- Reading Video Files
Example Code:
- Image Filters (Derivatives)
- Binary Images
- Image Pyramid
- Wavelet Noise Removal
- Detecting Lines
- Detecting Line Segments
- Detecting Interest Points
- Associate Interest Points
- Image Stitching
- Track Point Features
Other resources:
Building BoofCV
The easiest way to build the library from source is using the provided ant scripts.
- Download source code. See the Main Page for where to download it from.
- Run the ant script inside the boofcv/main directory.
- Copy the BoofCV.jar from boofcv/lib.
In Linux it looks something like this:
$ cd boofcv/main/
$ ant
---- lots of text -----
[javac] Note: Some input files use unchecked or unsafe operations.
[javac] Note: Recompile with -Xlint:unchecked for details.
[javac] 15 warnings
jar:
[jar] Building jar: /home/pja/projects/boofcv/main/jar/BoofCV_IO.jar
main:
[jar] Building jar: /home/pja/projects/boofcv/lib/BoofCV.jar
main:
BUILD SUCCESSFUL
Total time: 7 seconds
