NinV Korean-License-Plate-Recognition issues - Githubissues

NinV / Korean-License-Plate-Recognition

Korean car license plate recognition using LPRNet

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labeling json format

#10 Banhalmi opened 1 year ago
0
pre trained model cannot download

#9 ferrari5712 opened 1 year ago
2
your model's network architectureis are different from paper's

#8 zhang787jun closed 3 years ago
2
2 line license plate

#7 ilwoonam75 opened 3 years ago
2
update default parameters

#6 NinV closed 3 years ago
0
Empty vector output resultant of training using given training data

#5 Amuqeet09 closed 3 years ago
5
Train with Variable Length Labels

#4 mesakarghm opened 3 years ago
1
What labeling tool did you use? Or How can I change your code to be trained on pascalvoc format dataset?

#3 bled214 closed 4 years ago
2
How can I get a graph of accuracy?

#2 wkdcn97 opened 4 years ago
2
ValueError: Output tensors to a Model must be the output of a TensorFlow `Layer` (thus holding past layer metadata). Found: Tensor("Softmax:0", shape=(?, 88, 46), dtype=float32)

#1 Hedibouchelliga closed 4 years ago
1