Skip to content
End to End Chinese License Plate Recognition
Python Cuda C Shell C++
Branch: CLPR
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data
demo
doc
layers 电表识别端到端的训练脚本 Jun 1, 2019
model 电表识别端到端的训练脚本 Jun 1, 2019
output
utils
.gitignore
Creadme.md
LICENSE
README.md
ssd.py
test.py add readme Jun 7, 2019

README.md

CLPR:End to End Chinese License Plate Recognition

中文版readme

A PyTorch implementation of End to End Chinese License Plate Recognition, the whole project is mainly modified from SSD, which is a Single-stage object detector. And I mainly adopted the idea of this article(A Novel Integrated Framework for Learning both Text Detection and Recognition) and designed an OCR ROI pooling operation, so that detection, classification and text recognition can be integrated into one net for training, and using VGG as the backbone network.

Dataset

And i use CCPD: Chinese City Parking Dataset for training, i random choose 70000 sample for training. You can download the whole dataset or just use the images in ./data/test_data

Installation requirement

  1. clone the project
git clone https://github.com/chenjun2hao/CLPR.pytorch.git
  1. install cupy, for example:
(Binary Package for CUDA 9.0)
$ pip install cupy-cuda90
  1. Other dependencies
python 3.6
pytorch 0.4.0

Test

For testing, download the pretrained model from Baidu disk, password:16pk, and put the model in weights folder.

python test.py

here are some examples:

图1 图2
图3 图4
图5 图6

Train

Coming later

TO DO

  • [] For strabismus license plate recognition effect is not good, can add amendments
  • [] Character recognition is easy to leak out, and it combines multi-layer features for character recognition.

References

You can’t perform that action at this time.