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View Code? Open in Web Editor NEWMulti-Scale Geometric Consistency Guided Multi-View Stereo
License: MIT License
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zss1995 xinshenghust wenbingtao pmoulon sunbirddy whuaegeanse rjanvier abegnext mango0411 peterzhousz frankgoto ogsdave leejaeyong7 trendingtechnology yannnnnnnnnnnn zhichen902 pean1128 neverbe-never mshownlee guagod hx804722948 liuxinren456852 xuplusc alapini whoiszzj sanskar107 liaoyongjian1acmm's Issues
GPU memory increasing problem
Hi GhiXu,
Thanks for your work a lot!
There might a bug in ACMM.cpp at line 584 and line 672. The pre_costs_cuda is allocated memory two times when params.hierarchy is True but release once.
cudaMalloc((void**)&pre_costs_cuda, sizeof(float) * cameras[0].height * cameras[0].width);
ACMM input question
Hi, thank you for providing this amazing work 🥇 🥇
please excuse ignorance , I am trying to use your method here with my SFM output ,
if I understood the script colmap2mvsnet_acm.py correctly the ACMM input is
+── input_folder
│ +── cams
│ │ +── pair.txt
│ │ +── 00000000_cam.txt
│ │ +── 00000001_cam.txt
│ │ +── 00000002_cam.txt
│ │ +── ...
│ +── images
│ │ +── 00000000.jpg
│ │ +── 00000001.jpg
│ │ +── 00000002.jpg
│ │ +── ...
the _cam.txt files are for example :
extrinsic
7.49715011e+01 -6.19671023e+01 -1.02564244e+03 7.84223389e+00
3.71642195e+02 8.19559173e+02 -2.30744366e+02 3.18972292e+00
8.65385352e-01 -7.98839231e-02 -4.94698647e-01 8.12122229e-03
0. 0. 0. 1.
intrinsic
853.36265647 0. 577.21334278
0. 852.01008808 370.2930352
0. 0. 1.
<depth_value1> <depth_value2> <depth_value3> <depth_value4> <<<< depth range and interval
the pairs.txt file is for example :
20
1
<len(sorted_score>
2
<len(sorted_score>
3
<len(sorted_score>
....
<sorted_score[image_id][0]> <sorted_score[s][0]>
<sorted_score[image_id][1]> <sorted_score[s][1]>
...
my question is
what are the 4 depth values range and interval ?
and what is the sorted_score ?
illegal memory access was encountered
an illegal memory access was encountered in /mnt/dev/acmm/ACMM.cu at line 1211, GTX 1080ti, ubuntu 16.04
problem of Joint bilateral upsampling cudaFree
hello, thanks for your great work. I found a problem of Joint bilateral upsampling cudaFree. cudaFree in JBU::~JBU() dose not work.
Will this project open source?
From the paper, ACMM really solves the texture-less problem in COLMAP.
Will this project open source?
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