cascade-stereo
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eval in DTU dataset
I'm confused about the speed of offical dtu eval code, your casMVS generate 30,000,000 points , which need too many time to run the matlab code, so I'm really appreciate if you have other methods that can speed up while keep the results same as matlab code .
@MaybeOjbk
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?