License_Plate_Detection_Pytorch

License_Plate_Detection_Pytorch copied to clipboard

TypeError: _resolve_type_from_object(): incompatible function arguments. The following argument types are supported: 1. (arg0: object, arg1: torch._C._jit_tree_views.SourceRange, arg2: Callable[[str], function]) -> torch._C.Type Invoked with: typing.Union[int, NoneType], None,

SceneryAndLi

train_accuracy

5

i tried to train my model on my plate data. "loss: 0.0000, train_accuracy: 0.1875, time: 0.28 s/iter, learning rate: 0.0001" loss so small, but train_accuracy always

nightfuryyy

too much bugs

3

There are many bugs in your code. We have to solve them one by one .tks

persuelx

OSError: cannot open resource

1

OSError: cannot open resource when testing.

kornellewy

Is that OK if I don't split dataset into val & tra parts while training? Is there any effect on training process?

3a532028

lei522

model accuracy and testing results

4

Hello @xuexingyu24 , I followed your guide to train mtcnn and lprnet and got results as follows: 1. mtcnn: pnet and onet all got very low loss and high accuracy...

jameschao2000

Hi, I tested your sample photo work, but it got error with other US license plates. Do I need to retain CNN model or resize the photo? Thanks, --------------------------------------------------------------------------- IndexError...

RyanC1681

如鲁AA1233变成 鲁A1233 ,目前输出是18长度,需要改大还是调空白符的阈值

lightning0016

missing 'MTCNN/data_preprocessing/gen_Onet_train_data.py'

1

In the [Training on MTCNN](https://github.com/xuexingyu24/License_Plate_Detection_Pytorch#training-on-mtcnn), we should run 'MTCNN/data_preprocessing/gen_Onet_train_data.py'. However, this file does not exist.

mochechan