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xuexingyu24
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License_Plate_Detection_Pytorch
A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
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License inquiry
#53
Joyliu88
opened
3 days ago
1
fix create_mtcnn_net funtion call parameters
#52
youssefoumate
opened
7 months ago
0
12 types of license plate recognition, implemented by C++ TneosrRT, with an accuracy rate of up to 99.5%!!!
#51
pcb9382
opened
7 months ago
0
12 types of license plate recognition, implemented by C++ TneosrRT, with an accuracy rate of up to 99.5%!!!
#50
pcb9382
opened
7 months ago
0
關於在LPRNet中使用空間轉換層
#49
yihong1120
opened
9 months ago
0
12 types of license plate recognition, implemented by C++ TneosrRT, with an accuracy rate of up to 99.5%!!!
#48
pcb9382
opened
9 months ago
0
Is it possible to compute the accuracy output from the model?
#47
tscu-vid
opened
1 year ago
0
加载STN权重,没有矫正
#46
petervxy
opened
1 year ago
0
STN矫正
#45
petervxy
opened
1 year ago
0
请问learning rate在哪里调整呀?找了很久没找到。
#44
littleloverlalala
opened
1 year ago
0
在运行get_Onet_train_data.py遇到了问题。
#43
littleloverlalala
opened
1 year ago
0
STN模型转onnx
#42
hsl20130659
opened
2 years ago
2
some problem about LPRNet_Train.py and preproscess.py
#41
Qiuzhiying
opened
2 years ago
0
STN train
#40
XiongXin1207
opened
2 years ago
1
gen_Onet_train_data.py文件
#39
Eliza-wxq
closed
2 years ago
0
请问MTCNN中Train_Pnet.py的imglist_anno_12.txt是哪里来的
#38
beyond0310
opened
3 years ago
6
create_mtcnn_net does not give the same shapes for the bboxes.
#37
danielchang1985
opened
3 years ago
0
Why is it that the weights I have trained show nothing when used for testing, but the accuracy of the verification set is very high when trained
#36
newlc-lc
opened
3 years ago
0
训练数据集
#35
liangjing1
opened
3 years ago
6
Excuse me, does this code have a corresponding paper?
#34
smallsun1122
opened
3 years ago
0
Excuse me, can someone run the code through?
#33
smallsun1122
opened
3 years ago
0
Dataset structure
#32
Hedibouchelliga
opened
3 years ago
0
How to get the probability of plate recognition in LPRNET?
#31
mhranjbar
opened
3 years ago
0
请问一下,各位训练含有STN的LPRnet网络时,有没有出现损失一直收敛在3附近,始终无法降下去,不知道有没有解决的办法?
#30
ZhanRao
opened
3 years ago
0
I have successfully converted MTCNN and STN to onnx, but I have dimensional problems when I convert LPRNet to onnx
#29
JF-Lee
opened
4 years ago
3
Mionr bug: There is no `r_model_path` in `create_mtcnn_net()`
#28
RicoSuaveGuapo
opened
4 years ago
1
Variable box size for STN?
#27
gryphus1153
opened
4 years ago
0
Question about the dataset
#26
ivanh23
opened
4 years ago
0
问问大佬们运行LPRNet_Train时遇到这个问题怎么解决
#25
SceneryAndLi
opened
4 years ago
0
Add license to repository
#24
felixriese
opened
4 years ago
2
too much bugs
#23
persuelx
opened
4 years ago
3
Is that OK if I dont split dataset into val & tra parts while training?
#21
3a532028
opened
4 years ago
0
what's your training dataset when you train MTCNN?How accurate mtcnn is?
#20
lei522
opened
4 years ago
0
how to train custom model for other country license plate
#19
RajMaster1612
opened
4 years ago
2
有谁在Onet中添加landmark模块吗?
#18
Serissa
opened
4 years ago
3
need to know tool used for annotation of dataset
#17
gunjan5489
closed
4 years ago
1
run time error
#16
RyanC1681
opened
4 years ago
0
LPRNet model weights cannot be used from checkpoints
#15
mochechan
closed
4 years ago
1
lprnet相同词很大概率会当成合并为一个如何解决
#14
lightning0016
opened
4 years ago
0
model accuracy and testing results
#13
jameschao2000
opened
4 years ago
4
missing 'MTCNN/data_preprocessing/gen_Onet_train_data.py'
#12
mochechan
opened
4 years ago
1
Are there any papers for the project to get more details?
#11
lyw615
closed
4 years ago
1
STN
#10
yutian11308023
opened
4 years ago
0
OSError: cannot open resource
#9
kornellewy
opened
4 years ago
1
train
#8
ShydowLi
opened
4 years ago
3
how to train STN?
#7
yutian11308023
opened
4 years ago
2
Can I output the landmark in some way?
#6
lishuwei10
opened
4 years ago
2
img, label, length = sample TypeError: 'NoneType' object is not iterable
#5
sinadunk23
opened
5 years ago
2
train_accuracy
#4
nightfuryyy
opened
5 years ago
5
pre_train model
#3
nightfuryyy
closed
5 years ago
5
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