文件列表:

Matlab code for GTSRB\TrainTrafficSigns.m (2693, 2010-12-02)
Matlab code for GTSRB\EvalTrafficSigns.m (2139, 2010-12-02)
Matlab code for GTSRB (0, 2010-12-02)

********************************************** The German Traffic Sign Recognition Benchmark Example code for MATLAB ********************************************** This archive contains example code for MATLAB for reading the datasets and corresponding annotations. It contains the following files: Readme.txt - This file TrainTrafficSigns.m - Functions to read the training dataset EvalTrafficSigns.m - Functions to read the test dataset Both files need to be adjusted to your needs in a few spots. These lines are marked with "TODO". ********************************************** TrainTrafficSigns.m ********************************************** The file TrainTrafficSigns.m provides the following functions: TrainTrafficSigns() - This function iterates the training dataset successivly reads all images and annotations and calls MyTrainingFunction for each. readSignData( aFile ) - Helper function used by TrainTrafficSigns to read an image and the corresponding annotations MyTrainingFunction(aImg, aClasses) - Dummy function. You can implement your training here. ********************************************** EvalTrafficSigns.m ********************************************** The file EvalTrafficSigns.m provides the following functions: EvalTrafficSigns() - This function iterates the training dataset successivly reads all images and annotations and calls MyClassificationFunctionfor each. The classification results are written to "classification_results.csv" in the correct format. readSignData( aFile ) - Helper function used by EvalTrafficSigns to read an image and the corresponding annotations MyClassificationFunction(aImg)(aImg, aClasses) - Dummy function. Call your classifier here. ********************************************** Further information ********************************************** For more information on the competition procedures and to obtain the test set, please visit the competition website at http://benchmark.ini.rub.de If you have any questions, do not hesitate to contact us tsr-benchmark@ini.rub.de ********************************************** Institut für Neuroinformatik Real-time computer vision research group Ruhr-Universitt Bochum Germany **********************************************

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