aamini / fastconv.jl Goto Github PK
View Code? Open in Web Editor NEWFast Convolutions in Julia
Home Page: https://arxiv.org/abs/1612.08825
License: Other
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schultzer jessebett yasharmansouri aoe-khkhan haleycl zanemuir zeta1999 5l1v3r1 monaen jl-pkgsfastconv.jl's Issues
Julia vs. MATLAB
Thanks for making this code available. I wonder whether the "FastConv" name is promising too much, though.
I did some benchmarks against MATLAB. Julia seems comparable in 1D but MATLAB seems quite a bit faster in 2D. Presumably MATLAB is calling MKL?
julia> w = rand(5,5);
julia> s = rand(32,32);
julia> @time for iter=1:1000;convn(s,w);end
0.424601 seconds (204.00 k allocations: 178.574 MB, 2.38% gc time)
julia> @time for iter=1:1000;convn(s,w);end
0.491745 seconds (204.00 k allocations: 178.574 MB, 2.24% gc time)
julia> w = rand(3,3);
julia> @time for iter=1:1000;convn(s,w);end
0.047446 seconds (8.00 k allocations: 9.415 MB)
julia> @time for iter=1:1000;convn(s,w);end
0.048083 seconds (8.00 k allocations: 9.415 MB, 3.62% gc time)
>> s = rand(32,32);
>> w = rand(5,5);
>> tic;for iter=1:1000;conv2(s,w);end;toc
Elapsed time is 0.102509 seconds.
>> tic;for iter=1:1000;conv2(s,w);end;toc
Elapsed time is 0.027208 seconds.
>> w = rand(3,3);
>> tic;for iter=1:1000;conv2(s,w);end;toc
Elapsed time is 0.019014 seconds.
>> tic;for iter=1:1000;conv2(s,w);end;toc
Elapsed time is 0.018701 seconds.
Plans to publish on the standard julia repository?
First, let me say this looks like a useful package. But when I attempted to add this package via ] add FastConv, and it wasn't found. Do you intend to publish this to the common repository? I have been informed that to publish there, one needs to make use of the attobot.
Deprecations on Julia 0.7/1.0
Running Julia 0.7 on Windows 7 I get the following:
julia> using FastConv
[ Info: Recompiling stale cache file C:\Users\louis.kaplan\.julia\compiled\v0.7\FastConv\S3Jhd.ji for FastConv [d7899f00-a588-5e12-9855-37624a64ff9a]
┌ Warning: Deprecated syntax `parametric method syntax convn{T, N}(E::Array{T, N}, k::Array{T, N})` around C:\Users\louis.kaplan\.julia\packages\FastConv\SESra\src\utils.jl:10.
│ Use `convn(E::Array{T, N}, k::Array{T, N}) where {T, N}` instead.
└ @ C:\Users\louis.kaplan\.julia\packages\FastConv\SESra\src\utils.jl:10
┌ Warning: Deprecated syntax `parametric method syntax fastconv{T, N}(E::Array{T, N}, k::Array{T, N})` around C:\Users\louis.kaplan\.julia\packages\FastConv\SESra\src\utils.jl:32.
│ Use `fastconv(E::Array{T, N}, k::Array{T, N}) where {T, N}` instead.
└ @ C:\Users\louis.kaplan\.julia\packages\FastConv\SESra\src\utils.jl:32
┌ Warning: Deprecated syntax `parametric method syntax convn!{T, N}(out::Array{T}, E::Array{T, N}, k::Array{T, N})` around C:\Users\louis.kaplan\.julia\packages\FastConv\SESra\src\utils.jl:47.
│ Use `convn!(out::Array{T}, E::Array{T, N}, k::Array{T, N}) where {T, N}` instead.
└ @ C:\Users\louis.kaplan\.julia\packages\FastConv\SESra\src\utils.jl:47
Edit: Planning to put in a PR over the next few days to fix this
Calculation
Thank you for this work!
I understand convolution in math and CV, but the result of running this code surprises me:
...
EX = convn(stack, sobel3_x/2);
ET = convn(stack, prewitt2_t/2);
println(size(stack))
println(size(sobel3_x/2))
println(size(EX))
println(size(prewitt2_t/2))
println(size(ET))
Output:
(4,4,2)
(3,3,2)
(6,6,3) <-- How the output has this dimension?
(2,2,2)
(5,5,3) <-- How the output has this dimension?
The convs I saw has output the same size as the input image. I am new to Julia so not clear about your codes... Could you explain how the codes get this result?
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