Brilliant. Thanks for taking the time to put all this together. A lot of steep learning curves I’m sure. I’m a VisualSFM user, and now I will have to try some of the other options you show that I’ve heard about but never took the time to investigate. Well done!
Excellent video! Thank you. I've bookmarked this and will have to watch it many times to fully understand all of the details here and try it for myself. Thanks again.
Okay, I've tried each of these methods on a set of photos I have and I don't get as good of results from any of these methods as I do with Regard3D. But I have to run Windows because I can't get it to compile correctly in Linux. Any change you could create a Regard3D snap?
And here I was building all these programs manually (srsly, because I'm a software developer), which is a serious pain (dependency madness + cmake quirks). Unfortunately, I didn't know that all I needed to do was: "sudo snap install visualsfm-mardy" (any idea how to alter the text size in this context?) As a result, I did learn a lot of internal details about many of them, and your pipeline schematic is quite helpful. Thanks!
It's the most informative videos I have seen in the internet. I have one question for you .Is it possible to make a script file to fully automate the reconstruction process from photo to stl file ?
I use Visual SFM + Cloudcompared + Meshlab, unfortunately I lack knowledge to do the texturing in meshlab and export image to GIS software.. thanks to your excellent video I think I found the missing pieces
excellent video and congratulation for the snap package!!! just one question. Why did you multiply the width by 1.2 to obtain the focal length in pixel? tanks again
Hi, I used the same software(same version) and same image data set, the only difference is that I use windows system, but I always failed to reconstruct the dense cloud. Is there anyone same with me ?
Hello i follow your steps to install and it was great! i just had a problem after compiling using blunder it generates many files except for the bundle.out i got the bundle.init.out and bundle.log, but not the bundle.out. could you help me?
thanks for your work and your video very interesting- but i tried to install snap visualsfm-mardy on ubuntu 16.04 and sudo snap install blocked my computer- thanks
The good: Good video to get into SfM quickly. Very useful. The bad: Many of the snap packages from the author (namely Bundler, openMVG, openMVS) did not work on my computer (ubuntu 18.04), segmentation fault, I had to build them myself. Colmap snap is old and with no CUDA. Diagram error: openMVG should fill 1st column only, while openMVS fills columns 2-4 (dense cloud onward)
@@hangli1622 This video is ancient. None of these snap packages work on modern Linux. You'll have to install software in other ways, usually building from source.
hello! thank u for your video! it's so nice!!! so I have some question. can u help me?? I'm trying to use one of these software tools for making 3d model from tree pictures. what do u recommend to use for my project?? I need to use open source program. please help me thanks a lot!
Trees are very complicated, especially if they have leaves. I would start with mve, but if you are not satisfied with the result you should simply try all of them :-)
Hello! First, thanks for the snaps and the video! I'm tryng to do some scans, but I get this error when I start visualsfm, and when I try to reconstruct sparse it crash. ERROR: Unable to write to log file /snap/visualsfm-mardy/2/bin/log/[17_06_02][13_54_39][132].log I hope you can help me! thanks!
Great video.does anybody knows is there any software from wich i can measure objects from one picture if i know some of distances, but other not. For examplei have picture of building, and i know buildings lenght,is there any way to know hight,lr width and hight of windows?
I would love to use this, but it fails in Ubuntu 16.04 LTS (LTS Only here :-) ) For every step I try to fix it fails on another, then back again when I fix the next. Are you still maintaining this? Getting illegal instruction when attempting to reconstruct sparce, and that was after I blow a hole in the snap protection to get it to start at all.... It looks like a lot of strange compatibility stuff is leaking with the updates nowadays... :-( I bet that does not help you ... Well, hoping to see updates that work, I really appreciate your attempts to get into a manageable form...
I also used this on 16.04 LTS only. I haven't touch the snaps since I made this video, but given how snaps embed all their dependencies, it should just work (unless something broke in the snap system itself). But which snap are you using? It's not clear from your message which programs you are launching :-)
snap list gives: Name Version Rev Developer Notes bundler-mardy 0.4-20170208-2 3 mardy - core 16-2.30 3887 canonical core meshlab-mardy 2016.12-20170302-3 5 mardy - visualsfm-mardy 0.5.26-1 2 mardy - This is the first time I've used any snap on this machine... visualsfm starts with gui but will not do any processing. Meshlab simply won't show any gui. Visualsfm finish feature matching in 0 time, no errors no result. Sparse cloud step 0> core-dump
I found a meshlab in the apt-repos. But I can't feed it since everything that create sparse and dense cloud data, core-dumps. Could this have to do with forced updates related to the Intel bug? What I get is 'illegal instruction, core dumped'
It depends, What do you get for that money? If you get reduced time spent on processing, higher accuracy and easier dealings with any problems, it might just be worthwhile investment, asuming that this is not for hobby but actual work, where every hour costs money.
