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NinV
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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