colourkasce.blogg.se - Cycling74 max msp

#CYCLING74 MAX MSP INSTALL#
#CYCLING74 MAX MSP GENERATOR#
#CYCLING74 MAX MSP CODE#
#CYCLING74 MAX MSP MAC#

This yields a higher-quality image than using jit.matrix with a lower resolution.Ĭv.jit.shift: Implements the MeanShift and CAMShift algorithms for tracking greyscale and binary blobs.Ĭv.: Drawing utility for cv.jit.shift. Note however that very large number of tracking points will result in very slow performance.Ĭv.jit.label: Fixed a bug that caused "mode 1" operation to not label correctly when "charmode" was set to 1.Ĭv.jit.resize: This external uses bi-cubic interpolation to resize an imcomming matrix. This can be useful for detecting when there are no faces in the image, as the external returns a dummy matrix in this case.Ĭv.jit.features: Added a new attribute called “precision”, which when set to 1 tells the external to calculate features with sub-pixel accuracy.Ĭv.jit.track: The maximum number of points that can be tracked at once used to be set to 255 but can now be arbitrarily large.

#CYCLING74 MAX MSP MAC#

Also, the external now supports any data type.Ĭv.jit.dilate/ cv.jit.erode: Under Mac OS, these externals now use Core Image functionality which can in the best of cases improve performance by an order of magnitude.Ĭv.jit.faces: Added an attribute called “nfaces” that returns the number of detected faces. This means that there is no need to use separate versions for PPC and Intel machines.Ĭv.jit.centroids: rewritten so that it can be used in js. Version 1.6Īll externals are now compiled as universal binaries under Mac OS.

cv.jit.opticalflow: Fixed crash when using block matchingĬv.: Fixed a problem where the order of the Hu invariants did not match that of those outputted by cv.jit.moments.Ĭv.jit.centroids: Outputs coordinates of (-1,-1) when the image is empty instead of NaN.

cv.jit.faces, cv.: Now support "normalize" attribute for normalized coordinates.

cv.jit.touches (Very useful abstraction was somehow undocumented.).

cv.jit.opticalflow (Old helpfile was somehow missing from distribution.).

Once you open the project in Xcode or Visual Studio, select the ALL_BUILD target to build all externals, or just select individual targets. Run configure once again, and then generate.

OPENCV4_INSTALL_DIR: Same, but for OpenCV 4.

This is the same path you gave for CMAKE_INSTALL_PREFIX when building OpenCV.

OPENCV2_INSTALL_DIR: Where you installed OpenCV 2.

For instance, "/Users/me/Documents/Max 8/packages/Max 8/cv.jit/externals" on macOS or "C:\Users\me\Documents\Max 8\packages\cv.jit\externals".

COPY_DIR: Set this to the directory where you wish the external binaries to be copied.You can then press "Finish".Īfter running CMake configuration, you will be able to edit a few variables. Lastly, in the optional toolset field, enter "host=圆4". You must then explicitely set the platform to "圆4". On Windows, the first time you run configure, chose the latest version of Visual Studio installed on your machine. On Windows, use the CMake GUI app, and set the source and build directories. We then repeat more or less the same process for OpenCV 4, with a few differences.

#CYCLING74 MAX MSP INSTALL#

Once the build is complete build the INSTALL target. Open the project in Visual Studio, set the configuration to Release and build the ALL_BUILD target. Run configure again and generate the project.

In the list of variables that are shown, you should uncheck the following options:Ĭhange or make a note of the CMAKE_INSTALL_PREFIX variable this is where OpenCV will be installed.

#CYCLING74 MAX MSP GENERATOR#

In the generator option, chose the latest version of Visual Studio installed on your machine. We then run configure for the first time.

#CYCLING74 MAX MSP CODE#

Launch the CMake GUI app, and set the source code directory to where you installed OpenCV 2, and the build directory to the directory we just made in the line above.