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zhubenfu / License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
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I test the linux version but get wrong result.How can I get right reuslt? #31

Open daming5432 opened 4 years ago

daming5432 commented 4 years ago

the input is ./build/bin/ocr_test -ds=/home/daming/Work/Pytorch/LPR/TaiWanData/1 -mnd=/home/daming/Work/Pytorch/LPR/LPRMTCNN/src/ocr_test/model_platecar -pmd=/home/daming/Work/Pytorch/LPR/LPRMTCNN/src/ocr_test/plateCard_test
0 /home/daming/Work/Pytorch/LPR/TaiWanData

0384159482759-87_93-367&427_654&550-656&527_369&554_379&441_666&414-0_0_13_19_33_27_24-95-81.jpg detector point 224.399368,363.916168 671.017761,263.650604 667.478333,568.336975 229.654694,683.795410 cost: 17.7248 (ms) detect plate region (0, 0) (720 x 1160) with confidence 0.000000, predict plate 桂SE5

but the detector point is wrong.How can i get right result