Help with Sift Flow Algorithm - debugging the demo
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Hello I'm trying to run the demo for this SIFT Flow code you can find here:
It takes two similar images, finds their similarities, and combines them into one essentially...
I'm getting this error when running demo.m:
Here's the full demo.m code:
im1=imread('Mars-1.jpg');
im2=imread('Mars-2.jpg');
im1=imresize(imfilter(im1,fspecial('gaussian',7,1.),'same','replicate'),0.5,'bicubic');
im2=imresize(imfilter(im2,fspecial('gaussian',7,1.),'same','replicate'),0.5,'bicubic');
im1=im2double(im1);
im2=im2double(im2);
%figure;imshow(im1);figure;imshow(im2);
cellsize=3;
gridspacing=1;
addpath(fullfile(pwd,'mexDenseSIFT'));
addpath(fullfile(pwd,'mexDiscreteFlow'));
sift1 = mexDenseSIFT(im1,cellsize,gridspacing);
sift2 = mexDenseSIFT(im2,cellsize,gridspacing);
SIFTflowpara.alpha=2*255;
SIFTflowpara.d=40*255;
SIFTflowpara.gamma=0.005*255;
SIFTflowpara.nlevels=4;
SIFTflowpara.wsize=2;
SIFTflowpara.topwsize=10;
SIFTflowpara.nTopIterations = 60;
SIFTflowpara.nIterations= 30;
tic;[vx,vy,energylist]=SIFTflowc2f(sift1,sift2,SIFTflowpara);toc
warpI2=warpImage(im2,vx,vy);
figure;imshow(im1);figure;imshow(warpI2);
% display flow
clear flow;
flow(:,:,1)=vx;
flow(:,:,2)=vy;
figure;imshow(flowToColor(flow));
return;
% this is the code doing the brute force matching
tic;[flow2,energylist2]=mexDiscreteFlow(Sift1,Sift2,[alpha,alpha*20,60,30]);toc
figure;imshow(flowToColor(flow2));
Anyway I'm assuming this is probably an easy fix, I just don't generally use MATLAB, any help or guidance much appreciated...
5 个评论
Walter Roberson
2022-1-15
"Please run demo.h first. If error appears, please go to "mexDenseSIFT" and "mexDiscreteFlow" subfolders and follow the instructions in readme.txt (yes, there is readme.txt in each folder) to compile the cpp files. "
Did you follow the instructions in the readme.txt files to compile the cpp files?
Steven Rudolph
2022-1-15
编辑：Steven Rudolph
2022-1-16
Hello thanks for your response!
I did try this already and got an unspeakable amount of errors, and I was under the assumption it came precompiled already...
this is what the readme.txt says:
"The *.cpp and *.h files in this folder are used to mex a matlab dll file for computing dense SIFT features. Use the following command to compile in Matlab (tested on version 7.6 or later)
mex mexDenseSIFT.cpp Matrix.cpp Vector.cpp
It has been tested in Windows 7 x64, Linux x64 and Mac OS 10.6. Precompiled versions of Windows 7 x64 and Mac OS 10.6 are included in the folder.
------------------------- Important -------------------------
You must change one line in order to compile correctly. On line 5 of project.h, you should comment this line if you are compiling using visual studio in windows, or uncomment if you are in linux or mac os."
I am on Mac OS Catalina 10.15 so I'm assuming these precompiled versions could be out of date?
Starting from scratch again I noticed a library hasn't loaded from mexDenseSIFT.mexmaci64
How do I fix this?
& from otool I see this inside mexDenseSIFT.meximaci64
Walter Roberson
2022-1-16
The code needs to be recompiled.
Unfortunately there are a lot of problems with the code. It was designed in the time when MATLAB arrays could not exceed 2 gigabytes. Plus it had other random bugs.
I have gotten a clean compile for one of the two libraries (but not tested yet). The work is pretty tedious, so I have not gotten very far on the other library yet.
Steven Rudolph
2022-1-17
Walter Roberson
2022-1-17
I got a clean compile for both sides, except:
- one of the two has no mexFunction() routine and so cannot be called from MATLAB, which is a problem
- there are functions to save and load binary images that are coded in terms of using int to hold sizes, which is not compatible with MATLAB (only supports 31 bits, whereas MATLAB supports 48 bits). I changed everything else to be compatible with MATLAB sizes, but not those routines yet, as I do not know whether compatibility with external formats is needed.
回答（2 个）
yanqi liu
2022-1-17
0 个投票
yes，sir，may be use vlfeat toolbox，and vl_sift to get sift points and discripters
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