segmentation / netmets

Commit 51c0cf6ed9cc10667344145c59bc91aefbdf1c20

Authored by David Mayerich
1 parent ed5edb3e

cleaned up the metric calculation

Showing 2 changed files with 11 additions and 7 deletions   Show diff stats
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data/04_Tb.obj
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... ... @@ -2,5 +2,6 @@ v -1 1 0
2 2 v 0 0 0
3 3 v 1 -1 0
4 4 v 1 1 0
5   -l 1 2 3
  5 +l 1 2
  6 +l 2 3
6 7 l 4 2
... ...
main.cpp
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... ... @@ -18,21 +18,24 @@ int main(int argc, char* argv[])
18 18 exit(1);
19 19 }
20 20  
  21 + float resample_rate = 0.1;
  22 +
21 23 float sigma = atof(argv[3]);
22 24 stim::network<float> GT;stim::network<float> T;
23 25 // load obj files to 3D network class
24 26 GT.load_obj(argv[1]);
25 27 T.load_obj(argv[2]);
26   - //std::cout<<"ground truth------"<<GT.str()<<std::endl;
27   - //std::cout<<"truth-----------"<<T.str()<<std::endl;
  28 +
28 29 // resample the loaded networks
29 30 stim::network<float> resampled_GT;stim::network<float> resampled_T;
30   - resampled_GT = GT.resample(sigma);
31   - resampled_T = T.resample(sigma);
  31 +
  32 + resampled_GT = GT.resample(sigma * resample_rate);
  33 + resampled_T = T.resample(sigma * resample_rate);
  34 +
32 35 // compare ground truth with truth and viceversa
33 36 float gFPR, gFNR;
34   - gFPR = GT.compare(T, sigma);
35   - gFNR = T.compare(GT, sigma);
  37 + gFPR = resampled_GT.compare(resampled_T, sigma);
  38 + gFNR = resampled_T.compare(resampled_GT, sigma);
36 39 // print false alarms and misses
37 40 std::cout << "False postive rate is " << gFPR << std::endl;
38 41 std::cout << "False negative rate is " << gFNR << std::endl;
... ...