Searched refs:problem (Results 101 - 125 of 172) sorted by last modified time

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/external/chromium_org/gpu/config/
H A Dgpu_control_list.cc1440 base::DictionaryValue* problem = new base::DictionaryValue(); local
1442 problem->SetString("description", entry->description());
1447 problem->Set("crBugs", cr_bugs);
1453 problem->Set("webkitBugs", webkit_bugs);
1457 problem->Set("affectedGpuSettings", features);
1460 problem->SetString("tag", tag);
1462 problem_list->Append(problem);
/external/chromium_org/components/metrics/
H A Dmetrics_service.cc159 // side, but are not expected to be a significant problem.
459 base::HistogramBase::Inconsistency problem) {
461 problem, base::HistogramBase::NEVER_EXCEEDED_VALUE);
465 base::HistogramBase::Inconsistency problem) {
467 problem, base::HistogramBase::NEVER_EXCEEDED_VALUE);
1101 // Error 400 indicates a problem with the log, not with the server, so
1207 // session visible. The problem is that we always notify using the orginal
458 InconsistencyDetected( base::HistogramBase::Inconsistency problem) argument
464 UniqueInconsistencyDetected( base::HistogramBase::Inconsistency problem) argument
H A Dmetrics_service.h158 base::HistogramBase::Inconsistency problem) OVERRIDE;
160 base::HistogramBase::Inconsistency problem) OVERRIDE;
/external/chromium_org/content/browser/gpu/
H A Dcompositor_util.cc346 base::DictionaryValue* problem = new base::DictionaryValue(); local
347 problem->SetString("description",
349 problem->Set("crBugs", new base::ListValue());
350 problem->Set("webkitBugs", new base::ListValue());
353 problem->Set("affectedGpuSettings", disabled_features);
354 problem->SetString("tag", "disabledFeatures");
355 problem_list->Insert(0, problem);
362 base::DictionaryValue* problem = new base::DictionaryValue(); local
363 problem->SetString(
365 problem
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/external/chromium_org/content/browser/resources/gpu/
H A Dinfo_view.js195 var problem = gpuInfo.featureStatus.problems[i];
196 var problemEl = this.createProblemEl_(problem);
258 createProblemEl_: function(problem) {
264 desc.textContent = problem.description;
268 if (problem.crBugs.length + problem.webkitBugs.length > 0) {
278 for (j = 0; j < problem.crBugs.length; ++j) {
286 var bugid = parseInt(problem.crBugs[j]);
293 for (j = 0; j < problem.webkitBugs.length; ++j) {
301 var bugid = parseInt(problem
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/external/chromium_org/chrome/browser/resources/media/
H A Dwebrtc_logs.js71 'URL (if applicable) where the problem occurred:',
73 'Can you reproduce this problem?',
75 'What steps will reproduce this problem? (or if it\'s not ' +
76 'reproducible, what were you doing just before the problem)?',
/external/chromium_org/
H A DPRESUBMIT.py808 problem[0], problem[1], problem[2]) for problem in problems])]
/external/chromium_org/base/metrics/
H A Dhistogram_delta_serialization.cc19 // Silently returns when seeing any data problem in the pickle.
97 HistogramBase::Inconsistency problem) {
98 inconsistencies_histogram_->Add(problem);
102 HistogramBase::Inconsistency problem) {
103 inconsistencies_unique_histogram_->Add(problem);
96 InconsistencyDetected( HistogramBase::Inconsistency problem) argument
101 UniqueInconsistencyDetected( HistogramBase::Inconsistency problem) argument
H A Dhistogram_delta_serialization.h44 HistogramBase::Inconsistency problem) OVERRIDE;
46 HistogramBase::Inconsistency problem) OVERRIDE;
H A Dhistogram_flattener.h29 virtual void InconsistencyDetected(HistogramBase::Inconsistency problem) = 0;
34 HistogramBase::Inconsistency problem) = 0;
H A Dhistogram_snapshot_manager_unittest.cc27 HistogramBase::Inconsistency problem) OVERRIDE {
32 HistogramBase::Inconsistency problem) OVERRIDE {
/external/ceres-solver/examples/
H A Dbundle_adjuster.cc31 // An example of solving a dynamically sized problem with various
39 // The problem being solved here is known as a Bundle Adjustment
40 // problem in computer vision. Given a set of 3d points X_1, ..., X_n,
50 // The problem used here comes from a collection of bundle adjustment
250 void BuildProblem(BALProblem* bal_problem, Problem* problem) { argument
289 problem->AddResidualBlock(cost_function,
295 problem->AddResidualBlock(cost_function, loss_function, camera, point);
303 problem->SetParameterization(cameras + camera_block_size * i,
311 Problem problem; local
319 BuildProblem(&bal_problem, &problem);
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H A Dcircle_fit.cc47 // There are closed form solutions [1] to this problem which you may want to
128 Problem problem; local
143 problem.AddResidualBlock(cost, loss, &x, &y, &m);
149 // Build and solve the problem.
154 Solve(options, &problem, &summary);
H A Dcurve_fitting.c160 ceres_problem_t* problem; local
165 problem = ceres_create_problem();
170 problem,
181 ceres_solve(problem);
182 ceres_free_problem(problem);
H A Dcurve_fitting.cc143 Problem problem; local
145 problem.AddResidualBlock(
158 Solve(options, &problem, &summary);
H A Ddenoising.cc88 // Creates a Fields of Experts MAP inference problem.
91 Problem* problem,
100 problem->AddResidualBlock(cost_function,
129 problem->AddResidualBlock(cost_function[alpha_index],
137 // Solves the FoE problem using Ceres and post-processes it to make sure the
139 void SolveProblem(Problem* problem, PGMImage<double>* solution) { argument
157 ceres::Solve(options, problem, &summary);
209 ceres::Problem problem; local
210 CreateProblem(foe, image, &problem, &solution);
212 SolveProblem(&problem,
89 CreateProblem(const FieldsOfExperts& foe, const PGMImage<double>& image, Problem* problem, PGMImage<double>* solution) argument
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H A Dellipse_approximation.cc360 ceres::Problem* problem,
365 ceres::Solve(options, problem, &summary);
410 ceres::Problem problem; local
421 problem.AddResidualBlock(
429 problem.AddResidualBlock(
443 CHECK(SolveWithFullReport(options, &problem, true));
448 CHECK(SolveWithFullReport(options, &problem, false));
359 SolveWithFullReport(ceres::Solver::Options options, ceres::Problem* problem, bool dynamic_sparsity) argument
H A Dhelloworld.cc64 // Build the problem.
65 Problem problem; local
71 problem.AddResidualBlock(cost_function, NULL, &x);
77 Solve(options, &problem, &summary);
H A Dhelloworld_analytic_diff.cc69 // For this simple problem it is overkill to check if jacobians[0]
89 // Build the problem.
90 Problem problem; local
94 problem.AddResidualBlock(cost_function, NULL, &x);
100 Solve(options, &problem, &summary);
H A Dhelloworld_numeric_diff.cc60 // Build the problem.
61 Problem problem; local
67 problem.AddResidualBlock(cost_function, NULL, &x);
73 Solve(options, &problem, &summary);
H A Dlibmv_bundle_adjuster.cc26 // the command line and runs the bundle adjuster on the problem.
28 // File with problem a binary file, for which it is crucial to know in which
79 // line, camera intrinsics will be refined if markers in the problem are
87 // There're existing problem files dumped from blender stored in folder
349 // Reads a bundle adjustment problem from the file.
351 // file_name denotes from which file to read the problem.
361 // the problem. Only used for reprojection error calculation, stay
656 ceres::Problem problem(problem_options);
694 problem.AddResidualBlock(new ceres::AutoDiffCostFunction<
706 problem
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H A Dlibmv_homography.cc336 ceres::Problem problem; local
343 problem.AddResidualBlock(
364 ceres::Solve(solver_options, &problem, &summary);
H A Dmore_garbow_hillstrom.cc50 // A problem is considered solved if of the log relative error of its
276 Problem problem; local
277 problem.AddResidualBlock(TestProblem::Create(), NULL, x);
279 problem.SetParameterLowerBound(x, i, TestProblem::lower_bounds[i]);
280 problem.SetParameterUpperBound(x, i, TestProblem::upper_bounds[i]);
290 Solve(options, &problem, &summary);
311 Problem problem; local
312 problem.AddResidualBlock(TestProblem::Create(), NULL, x);
321 Solve(options, &problem, &summary);
H A Dnist.cc39 // The problem data themselves can be found at
44 // Medium and Hard. For each problem there are two starting guesses,
48 // A problem is considered successfully solved, if every components of
419 // Each NIST problem comes with multiple starting points, so we
420 // construct the problem from scratch for each case and solve it.
425 ceres::Problem problem; local
427 problem.AddResidualBlock(
436 Solve(options, &problem, &summary);
H A Dpowell.cc110 Problem problem; local
111 // Add residual terms to the problem using the using the autodiff
114 problem.AddResidualBlock(new AutoDiffCostFunction<F1, 1, 1, 1>(new F1),
117 problem.AddResidualBlock(new AutoDiffCostFunction<F2, 1, 1, 1>(new F2),
120 problem.AddResidualBlock(new AutoDiffCostFunction<F3, 1, 1, 1>(new F3),
123 problem.AddResidualBlock(new AutoDiffCostFunction<F4, 1, 1, 1>(new F4),
145 Solve(options, &problem, &summary);

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