Free contours software for mac

NMRView is a program for the visualization and analysis of NMR datasets.
Main features:
- Multiple views on one or more NMR spectra.
- Unlimited number of spectral windows.
- Windows may be in any size or position on the screen.
- Unlimited number of data files.
- Generic reader for block structured files.
- Corresponding cursors in different windows track each other automatically.
- Contour plots of any plane of any 2, 3, or 4 dimensional spectra.
- 1D vector plots ina any orientation of 1 to 4 dimensional spectra.
- Spectral displays may be transferred from one window to another using a Copy/Paste protocol.
- Automatic peak picking.
- Peak searching.
- Facilitated peak analysis and interactive peak editing.
- Spin-system tabulation
- XY data plotting and non-linear regression analysis.
- Powerful command language (Tcl, tool command language).
- Programmable user interface.
- Flexible database.
- Comprehensive NOE constraint generation and analysis.
- Structure analysis including rmsd superpositions and constraint violation analysis.
- Contextual help.
- On-line hyper-text documentation using Web browsers such as Mosaic or Netscape.

CCP4MG is a protein and nucleic acid structure viewer.
Main features:
- load multiple molecules (from PDB or mmCIF files) and display as cylinders, ball and stick, spheres, ribbons, worms and surfaces
- Extensive options to select and colour molecules
- calculate hydrogen bonds, close contacts, secondary structure and solvent accessible area
- displays molecule surfaces and electrostatic potential
- displays results of QM field calculations
- generate symmetry mates
- superpose structures
- load maps from MTZ, display as continuous crystal and fast changing contour level
- flexible labelling and annotation, display of images and arbitrary labelled vectors
- save image as png,jpeg etc. also PostScript or POV-Ray input file
- easy to make animated GIF or mpeg movies
- create/edit/replay scripts.

The JANFEA application is finite element and material point method analysis software for the Macintosh. JANFEA was written by Prof. John A. Nairn from the Material Science and Engineering Department at the University of Utah.
JANFEA is focused on two-dimensional and axisymmetric solid mechanics of linear elastic materials and a few nonlinear material options in the material point method. Within this focus, JANFEA is a very powerful package. It can do several element types, it can analyze any size problem, it has extensive fracture options, and has many ways to plot the results.
Main features:
- 2D and axisymmetric FEA analysis of linear elastic materials. All FEA calculations are static analyses. The FEA calculations support several element types. There is also a custom element for analysis of composite with imperfect interfaces.
- 2D material point methods calculations. All MPM calculations are dynamic analyses. The section of JANFEA is new and will be expanding in the future.
- Built in programming language for setting up the mesh. The language is scriptable for automated control of multiple FEA or MPM analysis.
- A large number of plotting options: 2D, 3D surfaces, 3D contours, grid plots, movies of MPM results, and more.
- Advanced fracture mechanics methods.
- XML formatting of data files for analysis by your own software.
- Everything is documented in the on-line help. You can even print out the on-line help to get a 150 page manual.
Version restrictions:
- Registration screen at startup.
- Limited to calculations with 200 nodes or less.

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.

Kanji Crammer has two uses: one is for people learning vocabulary, the other is for people, like linguists, who wish to catalog the sounds of a persons native language.
Kanji Crammer is a slide show/flash card program for learning Japanese Kanji but also includes decks for Chinese, Korean, and English. It supports audio and various dictionary files. Good for learning Vocabulary.
Kanji Crammer can also be used by linguists in the field for recording the native pronunciations of the word lists. Kanji Crammer organizes the recordings and make it easy to begin analysis once in the lab.
Main features:
- You can create your own decks of flash cards.
- You can record your own audio for any language.
- You can view a spectrogram of the sound associated with a card.
- You can view the tone contour of a sound.
- You can set the formants of vowel sounds and create a vowel chart.
- General tool to aid in the study of linguistics.

IMOD is a set of image processing, modeling and display programs used for tomographic reconstruction and for 3D reconstruction of EM serial sections and optical sections.
The package contains tools for assembling and aligning data within multiple types and sizes of image stacks, viewing 3-D data from any orientation, and modeling and display of the image files. IMOD was developed primarily by David Mastronarde, Rick Gaudette, Sue Held, and Jim Kremer at the Boulder Laboratory for 3-D Electron Microscopy of Cells.
Enhancements:
- The model structure has been enhanced to contain fine-grained display properties, so that several display features (color, transparency, line width, symbol display) can be changed for individual points within a contour or contours or surfaces within an object. Multiple openings (gaps) in a contour can also be created. The features can be set and visualized in 3dmod, and imodmesh encodes the features into a mesh.
- eTomo can now process montaged data and has an improved window layout for working on dual-axis data sets.
- eTomo provides an interface for running two of the steps on multiple computers or processors, and a mechanism for specifying the available machines.
- The bead tracker has been improved and can track in local areas, which greatly improves its performance for data sets covering large areas.

Edgeworks 1.0 is created to be a handy and smart collection of 20 plug-in filters which can be used together with Adobe Photoshop and other compatible host applications for highly effective results. These filters allow you to add edge, border, and contour effects to your images, as well as apply a variety of color effects. Create the look of chrome, glitter, corrosion, wood cuts, and so on.

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