Free contours software for mac

GCContourPlotter is a free Cocoa implementation of CONREC with additional code to efficiently convert to NSBezierPaths. If you have a need to plot contours in your Cocoa applicaiton, this may well be what you are looking for.
CONREC is a popular algorithm used for generating contour lines from three-dimensional height data. While more sophisticated algorithms certainly exist, for many uses CONREC is perfectly adequate, and has the advantage of being easy to understand and implement, reasonably fast, and well-known in the public domain.
Detailed information about the project and its usage can be found here.

System requirements:
- Xcode

The Contour Overdrive is a custom version of USB Overdrive that was specifically designed for the Contour Design UniMouse and Perfit Mouse and does NOT support any other device.
The mouse settings allow you to speed up your daily tasks by assigning useful actions to all the extra buttons in your USB mouse. Youll typically want to assign a control-click to the right button for easy contextual menu access, and use the middle button for auto-scrolling which makes it easy to scroll your documents using the mouse.
All the settings can be configured globally or on an application-specific basis. For games that already use InputSprockets, the Contour Overdrive provides all the needed hooks to support the device-specific configuration panels provided by the manufacturer. The Control Panel includes an active help feature that explains each command and option as you move the cursor around.
Enhancements:
- Fixed an incompatibility with the Griffin iMate ADB to USB adapter.
- Added visual cursor feedback fpr AutoScroll
- Rewrote most of the low-level part to get rid of the custom USB drivers and use Apples standard ones instead, which makes the Contour Overdrive fully compatible with Mac OS 9 and the new Game Sprockets. The custom drivers are still available for use under Mac OS 8.x without Game Sprockets, and a new option in the Options menu can activate and deactivate them.

The Numerics osax augments AppleScript with computational commands.
The computational features now include five Suites: Linear algebra, FFT and convolution, Image files, 3D array handling, and Numerical data files.
Main features:
- linear algebra (eigenvalues, linear systems solving, etc.)
- signal processing (1d, 2d, and n-d FFT, cross- and self-correlations, convolution, interpolation)
- image processing (import/export, particle analysis)
- 3D arrays (handling by reference, extraction, isosurfaces, stream lines).
Enhancements:
- Linear algebra: transpose, multmatrix, invertmatrix, solve linear system, compute eigenvalues, LUdecomposition, pivot, determinant
- Basic linear algebra and basic commands for inverting, diagonalizing, and decomposing a matrix. These commands support complex matrices. multmatrix performs the product of matrices and/with vectors: M x M, M x v, v x M, v x v.
- FFT and convolution: fft1d, fft2d, filterarray, convolve, correlate, interpolate
- Fast Fourier transforms: 1d, grouped, n-dimensional, and 2d. Use algorithms which time like N.Log N. Not powers of 2-limited. Convolution and correlation of two arrays, support periodic boundary conditions. Interpolation, linear or spline, supports periodic boundary conditions.
- Image files: imagefile bounds, convert imagefile, create imagefile, create grayimagefile, particles
- Basic commands for doing image processing: getting an images bounds, importing it as a numerical matrix and back, and doing particles analysis (get statistical info and contours of particles of an image).
- 3D array handling: open3D, close3D, list3Darrays, info3D, contents3D, extract3D, isosurface, streamline
- This Suite is to cope with 3D data and visualize them conveniently. Instead of manipulating the data in your script, you load them into memory and specify a name for them. Using the name you can extract whatever fraction of the data you really need. You can produce isosurfaces of a scalar field, and the stream lines of a vectorial field (results are triangle lists).
- Numerical data files: XNFGetArray, XNFSave, XNFdelete, XNFtoc
- This Suite introduces a new extensible data format, XNF (eXtensible Numerical File format.), extension .xnf. XNF files store binary 1D, 2D, and 3D arrays. One XNF file may contain arbitrarily many arrays of various kinds, stored under a variety of formats: the XNF file manages a Table of contents which specifies the properties of each array. Access to arrays is simply by name. Since the Table of contents is a XML, you can apply XPaths to retrieve a particular set of data. XMLLib osax required.

Computer vision is a subfield of computer science and deals with systems that can make sense of image information.
Building systems suited for high-level computer vision tasks such as object recognition and image classification requires the use of robust image statistics in the form of image features and machine learning algorithms to separate discriminative information from noise.
Tuwo is a C++ library that provides code to extract image features and learn decision functions from training data. Tuwo is suitable for high-level computer vision tasks.
The library should be used freely; in particular, extracting code as you deem necessary is encouraged. Tuwo is not intended to be a single monolithic library. To encourage free use, the library is licensed under the very liberal open-source MIT License.

Main features:
Machine Learning:
- k-means clustering
- nn/soft vector quantization and histograms
- mean shift clustering
- randomized decision tree ensembles
- structured support vector machine training, parallel
- conditional random field, MAP-MRF inference
Image Features:
- adaptive color histograms (CIE LAB, HSV, RGB)
- canny edge detection
- histogram of oriented gradients (HoG)
- local binary patterns (LBP)
- local self-similarity (LSS)
- oriented gradient histograms
- semantic texton forests
- region covariance
- textons
High-level Image Processing:
- mean shift segmentation
- tree-based segmentation (FH)
- normalized cut image segmentation
- image laplacians: matting laplacian, intervening contours, gradient
Input/Output:
- PASCAL VOC challenge XML metafile reader/writer

Veusz is a scientific plotting package written in Python. It uses PyQt for display and user-interfaces, and numarray for handling the numeric data.
Veusz was created in order to produce publication-ready Postscript output (plots can additionally saved to SVG or printed to PDF).
Veusz provides a GUI, command line and scripting interface (based on Python) to its plotting facilities. The plots are built using an object-based system to provide a consistent interface.

Main features:
- X-Y plots (with errorbars)
- Contour plots
- Images (with colour mappings)
- Stepped plots (for histograms)
- Line plots
- Function plots
- Fitting functions to data
- Stacked plots and arrays of plots
- Plot keys
- Plot labels
- LaTeX-like formatting for text
- EPS output
- Simple data importing
- Scripting interface
- Save/Load plots
- Dataset manipulation
- Embed Veusz within other programs.

System requirements:
-
- NumArray (Python module)
-

Enhancements
Changes in 1.4:
- Dates can be plotted on axes
- Bar graph component, support bars in groups and stacked bars with error bars
- Improved import
- text lines can be ignored in imported files
- prefix and suffix can be added to dataset names
- more robust import dialog
- Markers can be "thinned" for large datasets
- Further LaTeX support, including frac for fractions and for line breaks.
- Keys show error bars on datasets with errors
- Axes can scale plotted data by a factor
More minor changes:
- Mathematical expressions can be entered in many places where numbers are entered (e.g. axis minima)
- Many more latex symbols
- Text labels can also be placed outside graphs directly on pages
- Dataset expressions can be edited
- Data can be copied out of data edit dialog. Rows can be inserted or deleted.
- Mac format line terminators are allowed in import files
- Preview window resizes properly in import dialog

Graphing Calculator Viewer 1.5b3 is a tool which can view and interact with Graphing Calculator documents. It includes examples and demonstrations of the software.

Panoply 2.8.3 is well-known as a powerful as well as reliable Java application that is created to help you plot geo-gridded arrays from netCDF, HDF and GRIB datasets.

To be plotted by Panoply, dataset variables must be tagged with metadata information using a convention such as CF.

Major Features:

1. Slice and plot specific latitude-longitude, latitude-vertical, or time-latitude arrays from larger multidimensional variables.
2. Combine two arrays in one plot by differencing, summing or averaging.
3. Plot lon-lat data on a global or regional map (using any of over 75 map projections) or make a zonal average lineplot.
4. Overlay continent outlines or masks on lon-lat plots.
5. Use any ACT, CPT, GGR, or PAL color table for scale colorbar.
6. Save plots to disk GIF, JPEG, PNG or TIFF bitmap images or as PDF or PostScript graphics files.
7. Export lon-lat map plots in KMZ format.