ImageView does have an annotation framework, see https://github.com/timholy/ImageView.jl#annotations
But the use case is really aimed at interactivity, not for producing polished plots. You can export, though, with `write_to_png`. --Tim On Wednesday, December 17, 2014 06:08:59 AM David Smith wrote: > I've tried all of the plotting packages. Winston is a nice start but still > a little rough around the edges. I couldn't get a colorbar, for example, > and the fonts aren't as well rendered as in Matplotlib. > > ImageView is nice for peeking at things, but it doesn't produce plot > annotations, AFAIK. I use ImageView when developing. > > On Tuesday, December 16, 2014 10:36:17 PM UTC-6, Isaiah wrote: > > Tim Holy's ImageView package is another one to look at. Performance is > > very good with the Gtk backend (streaming video works well). > > > > On Tue, Dec 16, 2014 at 6:39 PM, Johan Sigfrids <johan.s...@gmail.com > > > > <javascript:>> wrote: > >> Have you tried Winston? > >> https://github.com/nolta/Winston.jl > >> > >> On Tuesday, December 16, 2014 11:15:42 PM UTC+2, David Smith wrote: > >>> Thank you. > >>> > >>> I feel like Julia has matured enough finally to start migrating all of > >>> my MRI research over to it. So far I have found no barriers whatsoever. > >>> I > >>> recommend it enthusiastically to all of my colleagues. They are > >>> probably > >>> getting tired of hearing about it. ;-) > >>> > >>> My biggest wish-list item (as a medical imager) would be native Julia > >>> plotting that is similar to Matplotlib. I'd rather not have to require > >>> that people have Python alongside Julia. Makes Julia sound less mature. > >>> I > >>> tried Gadfly, but when most of what you plot is images, Gadfly makes > >>> less > >>> sense. (Maybe something is missing in the grammar that includes images > >>> as > >>> something separate from rectbins.) I also got bit pretty hard by the > >>> pair > >>> borking bug in Color.jl, which was very annoying. > >>> > >>> On Tuesday, December 16, 2014 1:42:16 PM UTC-6, Isaiah wrote: > >>>> This is exciting! Congratulations on the release. > >>>> > >>>> On Tue, Dec 16, 2014 at 1:50 PM, David Smith <david...@gmail.com> > >>>> > >>>> wrote: > >>>>> A few of us around here do medical imaging research, so I'm announcing > >>>>> the release of DCEMRI.jl, a Julia module for processing dynamic > >>>>> contrast > >>>>> enhanced magnetic resonance imaging (MRI) data. > >>>>> > >>>>> http://github.com/davidssmith/DCEMRI.jl > >>>>> > >>>>> To install, > >>>>> > >>>>> julia> Pkg.add("DCEMRI") > >>>>> > >>>>> To run a quick demo, > >>>>> > >>>>> julia> using DCEMRI > >>>>> > >>>>> julia> demo() > >>>>> > >>>>> To rerun the validations, > >>>>> > >>>>> julia> validate() > >>>>> > >>>>> (Validation can take a while, because the phantoms use a ridiculously > >>>>> large number of time points, and the Levenberg-Marquardt fitting > >>>>> scales > >>>>> poorly with number of measurements.) > >>>>> > >>>>> When you run these functions, PyPlot will show the resulting images > >>>>> after the run is complete, and pdfs of the images will be saved in the > >>>>> module directory by default, or another place if you specify. > >>>>> > >>>>> The models included currently are the standard and extended > >>>>> Tofts-Kety, and both have been validated against the test phantoms > >>>>> provided > >>>>> by the Quantitative Imaging Biomarkers Association. The execution > >>>>> speed is > >>>>> the fastest of any code I've tried, by about an order of magnitude, on > >>>>> a > >>>>> per-processor basis. You can fit a typical slice of in vivo data in > >>>>> about > >>>>> 1-2 seconds on a decent machine. > >>>>> > >>>>> Several modes of operation are supported, including file-based > >>>>> processing and passing data as function arguments and parameters as > >>>>> kwargs. > >>>>> See the demo and the validation functions for examples of usage. > >>>>> Parallel > >>>>> processing is supported, using either function parameters or by > >>>>> starting > >>>>> julia with the '-p <n>' flag. I also have a command-line script and a > >>>>> (simplistic) Matlab interface function. > >>>>> > >>>>> The code currently uses PyPlot for plotting, so you need Matplotlib > >>>>> installed, and that is not handled automatically, but all of the Julia > >>>>> dependencies are. > >>>>> > >>>>> A paper on the code is in press at PeerJ (https://peerj.com/preprints/ > >>>>> 670/). > >>>>> > >>>>> Let me know what you think. > >>>>> > >>>>> Cheers, > >>>>> Dave
