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MATLAB 96.2%
JavaScript 3.8%
 
 
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v-h cdb8ee20e8 added script for training alexnet 2 years ago
DOCS add data 2 years ago
.gitignore update ignore 2 years ago
221025_Projektdurchfuhrung_Teil_1TrafficSign.pdf Add Aufgabenstellung 2 years ago
221205_Projektdurchfuhrung_Teil_2_TraficSign_Variante_RCNN.pdf Add Aufgabenstellung 2 years ago
DasNetz2uuuuuuaaaauauaauauauauaua.mat add alexnet-file 2 years ago
Mokey_go_brrrr.m added script for training alexnet 2 years ago
RCNN_for_traficsigns.m add data 2 years ago
RCNN_for_traficsigns_stepthree.m added comments 2 years ago
README.md Update 'README.md' 2 years ago
alex_test.m addidtions from Reini1001 (second part of test - Alexnet) 2 years ago
augmentData.m add data 2 years ago
augmentData_stepthree.m step three 2 years ago
func_groundTruthFromLabelPic.m add data 2 years ago
func_groundTruthFromLabelPic_stepthree.m step three 2 years ago
func_setupData.m add data 2 years ago
func_setupData_stepthree.m step three 2 years ago
helperSanitizeBoxes.m add data 2 years ago
netDetectorResNet50.mat add data 2 years ago
netDetectorResNet50_2.mat add data 2 years ago
preprocessData.m add data 2 years ago
test.m Update test.m to use alex_test 2 years ago

README.md

HA_DIGSIG

Hauptscriptfiles:

  • RCNN_for_traficsigns.m (kann über parameter dotraining zum trainieren oder nur analysieren des RCNN-Netzes verwendet werden, ggf. kann das Training über parameter doAugmentation ohne oder mit Augmentation stattfinden (Schritt 1 bzw. 2 der Aufgabenstellung))
  • test.m (liest ein image ein und wendet das Netz darauf an)