Matlab code about mvsnet_pytorch HOT 10 OPEN

thank you for your advices, very thanks
first, i install statistics to solve the machine learining errors
second, i change the path in BaseEvalMain_web.m & ComputeStat_web.m, detail: dataPath =(from mvs_training download ground truth pointcloud) , plyPath = (my model run eval.sh output pointcloud),and resultsPath = ( new named file to storing compute result ),but i encounter an error, shown below。

cSet =
1
DataInName =
'D:\master-experiment\0410_d128_epoch1_ply/mvsnet001_l3.ply'
EvalName =
'D:\master-experiment\evaluation_indicatorsmvsnet_Eval_1.mat'
D:\master-experiment\0410_d128_epoch1_ply/mvsnet001_l3.ply
ans =
11 38
历时 162.898124 秒。
downsample factor: 1.4051
历时 134.630598 秒。
错误使用 plyread
No such file or directory
出错 PointCompareMain (第 12 行)
StlMesh = plyread(StlInName); %STL points already reduced 0.2 mm neighbourhood density
出错 BaseEvalMain_web (第 47 行)
BaseEval=PointCompareMain(cSet,Qdata,dst,dataPath);

error code shown,
StlInName=[dataPath '/Points/stl/stl' sprintf('%03d',cSet) '_total.ply'];
#error line 12
StlMesh = plyread(StlInName); %STL points already reduced 0.2 mm neighbourhood density
Qstl=[StlMesh.vertex.x StlMesh.vertex.y StlMesh.vertex.z]';

i don‘t understand /Points/stl/stl means

Thank you for your guidance

from mvsnet_pytorch.

hello，i want request a question for matlab code ， are you reuse it to get accuracy？

from mvsnet_pytorch.

Hello, yes. I used this code to get accuracy and the overall. https://github.com/xy-guo/MVSNet_pytorch/tree/master/evaluations/dtu

from mvsnet_pytorch.

please give some advices in code，because i see 7 .m document in dtu ，i‘m not good at matlab ， just download matlab and activate，could you tell me how to change code in order to run it to get the acc & overall？i just know the file path must be modify by correctly position , and i will appriciate for your help, this is very important to me and my gradute paper.

from mvsnet_pytorch.

You need to run BaseEvalMain_web.m and after ComputeStat_web.m in matlab terminal. When you download Matlab pay attention to also check there to download statistisc, otherwise you will get some errors.
You need to change the paths according to yours.

from mvsnet_pytorch.

Download from here the Points: https://roboimagedata2.compute.dtu.dk/data/MVS/Points.zip (Points.zip\Points\stl)
https://roboimagedata2.compute.dtu.dk/data/MVS/SampleSet.zip (from this you'll get the OBSmask SampleSet.zip\SampleSet\MVS Data\ObsMask)
You need to download this folders mentioned, unzip and set the paths in the code.

from mvsnet_pytorch.

thank you, i already get acc and com in dtu evaluation, but it is not good as in mvsnet paper, i want to know if you evaluation tanks&temples dataset by mvsnet_pytorch? maybe i need to eval tank datasets.

from mvsnet_pytorch.

您好，我需要如何运行matlab代码才能获得准确性和整体性？

你请问您的问题解决了吗？能留个邮箱来具体讨论一下

from mvsnet_pytorch.

@HiRenZeHui 乐意与您交流 [email protected]

from mvsnet_pytorch.

Hello, how do I need to run the matlab codes in order to obtain the accuracy and the overall?

Hi, sorry to bother you，when I use the offical dtu eval code, it report an error:
内存不足。
出错 KDTreeSearcher/rangesearch (line 149)
idx= internal.stats.KDTreeSearcher.knnsearchmex(X2, Y', [], minExp, obj.cutDim, obj.cutVal, ...
出错 reducePts_haa (line 22)
idx = rangesearch(NS,pts(:,RandOrd(Range))',dst);
出错 PointCompareMain (line 7)
Qdata=reducePts_haa(Qdata,dst);
出错 BaseEvalMain_web (line 60)
BaseEval=PointCompareMain(cSet,Qdata,dst,dataPath);

I can calculate the scene with few point clouds (. ply size of DTU scene 77 is 32M), but how can I calculate other scenes with hundreds M？

from mvsnet_pytorch.