Mercurial > hg > aasp-d-case-metrics
changeset 2:dcaf371d33e3
add a script to iterate over collected outputs and invoke the evaluator
author | Dan Stowell <dan.stowell@elec.qmul.ac.uk> |
---|---|
date | Tue, 07 May 2013 13:42:10 +0100 |
parents | c8924e29f1aa |
children | a22e7701516e |
files | scene_classification/loadClassificationOutput.m scene_classification/sceneClassificationMetrics_collectevals.m scene_classification/sceneClassificationMetrics_eval.m |
diffstat | 3 files changed, 23 insertions(+), 4 deletions(-) [+] |
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--- a/scene_classification/loadClassificationOutput.m Sat Apr 13 09:42:08 2013 +0100 +++ b/scene_classification/loadClassificationOutput.m Tue May 07 13:42:10 2013 +0100 @@ -1,7 +1,7 @@ function [fileID,classID] = loadClassificationOutput(filename) % Open raw file -fid = fopen(filename,'r+'); +fid = fopen(filename,'r'); % Read 1st line tline = fgetl(fid);
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scene_classification/sceneClassificationMetrics_collectevals.m Tue May 07 13:42:10 2013 +0100 @@ -0,0 +1,20 @@ +% Script to invoke the evaluation on all the output from the submissions, which must previously have been collected. +% Compiles the accuracies etc into a CSV file + +basepath = '/home/dan/aasp_april2013_eval' +numfolds = 5 +% then using the list of submissions from the folderlisting: +subs = cellstr(['cooper_tam_system0'; 'cooper_tam_system1'; 'cooper_tam_system2'; 'elizalde'; 'geiger'; 'johnshopkins'; 'krijnders'; 'mtg_roma'; 'nam_hyung_lee'; 'olivetti'; 'pooledmajority'; 'rahman_system1'; 'rahman_system2'; 'rakotomamonjy_gasso'; 'smacpy']) + +csvfp = fopen(sprintf('%s/eval_results_sc/eval_results_sc.csv', basepath), 'w+'); +fprintf(csvfp, 'submission,acc,std,confint,accfold1,accfold2,accfold3,accfold4,accfold5\n'); +for which=1:length(subs) + f = subs{which}; + subpath = sprintf('%s/submitter_filelists/%s.txt', basepath, f) + [confusionMat, AccFolds, Acc, Std] = sceneClassificationMetrics_eval(numfolds, sprintf('%s/filelist_GTs.txt', basepath), subpath); + Acc + ConfInt = Std * 1.96 / sqrt(numfolds) + fprintf(csvfp, '%s,%g,%g,%g,%g,%g,%g,%g,%g\n', f, Acc, Std, ConfInt, AccFolds(1), AccFolds(2), AccFolds(3), AccFolds(4), AccFolds(5)); +end +fclose(csvfp); +
--- a/scene_classification/sceneClassificationMetrics_eval.m Sat Apr 13 09:42:08 2013 +0100 +++ b/scene_classification/sceneClassificationMetrics_eval.m Tue May 07 13:42:10 2013 +0100 @@ -13,10 +13,9 @@ confusionMat = zeros(10,10); AccFolds = zeros(1,numfolds); - % For each fold -fid1 = fopen(foldsGTlist,'r+'); -fid2 = fopen(foldstestlist,'r+'); +fid1 = fopen(foldsGTlist,'r'); +fid2 = fopen(foldstestlist,'r'); for i=1:numfolds % Load classification output and ground truth