PureBasic Interface to OpenCV

[wilbert]

You're fast at converting those examples.

cv_mov_houghcircles.pb: finds circles in grayscale image frames using the Hough transform on a movie file

Quite impressive again that it can detect this circular object while it is moving around.

[JHPJHP]

Hi wilbert,

Here are the last of the Windows examples modified to work in OSX. Thank you very much for your invaluable support throughout this process
- most of the following legacy examples have been demonstrated in previously posted examples using newer OpenCV functions

Updated the OSX interface:
- converted 8 examples
-- le_cam_extractSURF.pb: detects keypoints and computes SURF (Speeded-Up Robust Features) descriptors on the webcam interface
-- le_extractSURF.pb: detects keypoints and computes SURF (Speeded-Up Robust Features) descriptors
-- le_fitellipse_1.pb: creates a sequence of points, bounding them in an ellipse of the minimal area
-- le_mov_bgcodebookmodel.pb: using an average difference learning method, foreground moving objects of a certain size are tracked
-- le_mov_bgstatmodel_1.pb: using a background/foreground detection algorithm, foreground objects are highlighted/removed
-- le_mov_bgstatmodel_2.pb: using a Gaussian mixture-based background/foreground detection algorithm, foreground objects are highlighted
-- le_mov_gaussianbgmodel.pb: using a Gaussian background model, foreground moving objects of a certain size are tracked
-- le_pyrsegmentation.pb: implementing image segmentation by pyramids, a cartoon effect is achieved

NB*: Fixed an OSX OpenCV Function declaration that improved performance from the stitching examples.

[wilbert]

Here are the last of the Windows examples modified to work in OSX.

Thanks for all you did JHPJHP.
It's nice to have this lib available on OSX.

-- le_pyrsegmentation.pb: implementing image segmentation by pyramids, a cartoon effect is achieved

Great effect

[JHPJHP]

Hi wilbert,

You're most welcome.

------------------------------------------------------------------------

Updated the OSX interfaces:
- rebuilt all libraries (modified 1 dylib)
-- libopencv_imgproc.2.4.13.dylib
- fixed 1 example
-- cv_minarea_2.pb: finds the minimal area of a point set wrapping it in a triangle and a circle

libopencv_imgproc.2.4.13.dylib / cv_minarea_2.pb
- copied the legacy C++ source file from a previous OpenCV build, into the current source folder
- modified the C++ source file to include a C-Interface to the C++ function
- added various header references pointing to the C-Interface function
- fixed reported version problems when trying to compile

[wilbert]

libopencv_imgproc.2.4.13.dylib / cv_minarea_2.pb
- copied the legacy C++ source file from a previous OpenCV build, into the current source folder
- modified the C++ source file to include a C-Interface to the C++ function
- added various header references pointing to the C-Interface function
- fixed reported version problems when trying to compile

Thanks for keeping it up to date

[AAT]

Hi, JHPJHP!

One more time about OpenCV+Tesseract OCR.
The example how to get confidence level in the Tesseract OCR: http://rgho.st/8yCH8cCjL (90 days)

Symbol level:


Word level:


---------------------
Update: liblept168.lib http://rgho.st/8ZPfh2cBK
Thanks, JHPJHP!

P.S. JHPJHP, I think you've already added this library in your package

[JHPJHP]

Hi AAT,

Thank you for another great addition to the OCR Tesseract examples.

P.S. JHPJHP, I think you've already added this library in your package

I replaced the binaries with files from an older prebuilt download that contained both 32 and 64 bit versions.

--------------------------------------------------------

Updated the Windows interfaces:
- added 1 example (contributed by AAT)
-- cv_OCR_confidence.pb: using Tesseract OCR (Optical Character Recognition) an image is translated to text displaying its confidence-level in stages

NB*: The 64bit Windows interface has been updated to support all 5 Tesseract examples.

[JHPJHP]

Updated (Windows and OSX interfaces):
- added 1 example
-- cv_stippling.pb: stippling is the creation of a pattern simulating varying degrees of shading by using small dots
--- based on script found here

This was one of those examples that took longer then expected due to the conversion between Processing, PureBasic, and OpenCV :: Enjoy

NB*: Images may show varying degrees of detail based on size, color, and settings.

------------------------------------------------------------------

Updated the example cv_stippling.pb: added the option to toggle between color and black dots.

[wilbert]

That looks very nice

[JHPJHP]

Hi wilbert,

Thank you for the comment. I knew if I was hear from anyone it would be you

Updated: cv_stippling.pb
- optimized various parts of the code, modified settings to better illustrate stippling and the repulsion field algorithm

[wilbert]

optimized various parts of the code, modified settings, to better illustrate stippling and the repulsion field algorithm

It works fine on OSX

[JHPJHP]

Updated (all interfaces):
- replaced 1 file
-- references/highgui.mht with references/highgui.pdf
- updated 1 example
-- cv_stippling.pb: optimized performance, added an option to reset stippling
- added 1 example
-- cv_cam_stippling.pb: stippling is the creation of a pattern simulating varying degrees of shading by using small dots

cv_stippling.pb
- to best demonstrate the repulsion field algorithm, press the [ C KEY ] switching to black dots, then press [ ENTER ] to reset stippling

-------------------------------------------------------------------------------------

Updated:
- updated 2 examples
-- cv_stippling.pb: optimized the repulsion field algorithm
-- cv_cam_stippling.pb: optimized the repulsion field algorithm, added the option to toggle between stippling and webcam

[wilbert]

Thanks for all your hard work

[JHPJHP]

Hi wilbert,

You're most welcome

An alternate Stippling technique popular for its attention to detail is the Weighted Voronoi Stippling method, incorporating varying dot sizes to enhance results...

Updated
- updated 2 examples
-- cv_cam_stippling.pb: applied a couple small code improvements
-- cv_stippling.pb: switched from a static dot size to varying dot sizes based on color
- added 1 example
-- cv_repulsion_field.pb: each particle tries to find an optimum placement by pushing itself away from its neighbors

[wilbert]

-- cv_stippling.pb: switched from a static dot size to varying dot sizes based on color
- added 1 example
-- cv_repulsion_field.pb: each particle tries to find an optimum placement by pushing itself away from its neighbors

I like the varying dot sizes better
The repulsion field example also looks nice.