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Benchmarking code for various computer vision algorithms
varungulshan/vlfeat_benchmarks
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This package implements detector benchmarks for various publically available interest point detectors. 1. FIRST TIME INSTALLATION INSTRUCTIONS Run the following commands from the matlab prompt. Make sure your present working directory (pwd) is at the root (i.e. pwd looks like .../vlfeat_benchmarks/) compile_mex(); % To compile the mex files, you need to have the mex compiler % setup properly for this to work install(); % To install all third party dependencies 2. RUNNING THE BENCHMARK setup(); % Setups the paths properly affineDetectors.benchmarkDemo(); % Runs a demo of the benchmark 3. CLEANING UP AN INSTALLATION In case the install() command above is interrupted, or doesn't complete for some reason, you can clear up all the downloaded third party software and re-install from scratch by running the following: clean(); % Will delete all the third party directories install(); % To install all third party dependencies 4. MORE INFO See help affineDetectors.benchmarkDemo for the list of currently available detectors and datasets. See help affineDetectors.runBenchmark for help on the actualy benchmarking function and the options supported by it. affineDetectors.benchmarkDemo() calls affineDetectors.runBenchmark() with some demo detectors.
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Benchmarking code for various computer vision algorithms
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