# CRNN_Chinese_Characters_Rec

**Repository Path**: futureflsl/CRNN_Chinese_Characters_Rec

## Basic Information

- **Project Name**: CRNN_Chinese_Characters_Rec
- **Description**: (CRNN) Chinese Characters Recognition.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-07-09
- **Last Updated**: 2020-12-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Crnn_chinese_characters_rec
chinese characters recognition

## Descriptions in chinese：https://blog.csdn.net/Sierkinhane/article/details/82857572

## (Please update pytorch to 1.1.0 https://pytorch.org/ )
## Update
 ```
* remove lmdb dataloader
* fix ctc loss
```
## Test
* [download model](https://pan.baidu.com/s/13Jk1q94BUZYvSYgPJkDr9Q) password:t99a  
There are images in test_images file, and you just run it as follow.
* python3 test.py

## Train
before traning, you should prepare the dataset of characters.(described in csdn blog)
* python3 preprocessing.py to prepare train.txt and test.txt or [download](https://pan.baidu.com/s/1rd4tm0sCq5fFgB2ziUxcrA) password:w877 
* [modify the path to images, train.txt and test.txt in crnn_main_v2.py](https://github.com/Sierkinhane/crnn_chinese_characters_rec/issues/124#issuecomment-515996489)
* python3 crnn_main_v2.py --cuda


## 3.6 million chinese characters dataset：
![](https://github.com/Sierkinhane/LearningRecords/blob/master/chinese_char.png)

## [Data generator](https://github.com/Sierkinhane/crnn_chinese_characters_rec/tree/master/data_generator):
![](https://github.com/Sierkinhane/crnn_chinese_characters_rec/blob/master/test_images/data_generator.png)

## Results：
![](https://github.com/Sierkinhane/crnn_chinese_characters_rec/blob/master/test_images/1.png)
![](https://github.com/Sierkinhane/crnn_chinese_characters_rec/blob/master/test_images/2.png)

## Training(accuray was 97.7% ultimately):
![](https://github.com/Sierkinhane/crnn_chinese_characters_rec/blob/master/test_images/3.png)
![](https://github.com/Sierkinhane/crnn_chinese_characters_rec/blob/master/test_images/4.png)

##(This repository is based on https://github.com/meijieru/crnn.pytorch)

# If interested in Face detection, you can refer to the other repository:
  MTCNN https://github.com/Sierkinhane/mtcnn-pytorch
  
  results:
  
  ![](https://github.com/Sierkinhane/mtcnn-pytorch/blob/master/results/r_1.jpg)
  ![](https://github.com/Sierkinhane/mtcnn-pytorch/blob/master/results/r_2.jpg)
  ![](https://github.com/Sierkinhane/mtcnn-pytorch/blob/master/results/r_3.jpg)

# If interested in Machine Learning, you can refer to the other repository:
  https://github.com/Sierkinhane/CS229-ML-Implements

# CS229-ML-Implements
Implements of cs229(Machine Leaning taught by Andrew Ng) in python.

# CS229 Machine Learning Xmind:
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/ml-xmind.png)

# CS229 Machine Learning course and notes:
[OpenCourse](http://open.163.com/special/opencourse/machinelearning.html)

[cs229-Notes](https://github.com/Sierkinhane/CS229-ML-Implements/tree/master/CS229-Notes)

# Examples

## [Linear Regression](https://github.com/Sierkinhane/CS229-ML-Implements/tree/master/00-SupervisedLearning/01-LinearRegression)
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/regression.gif)

## [Locally Weighted Regression](https://github.com/Sierkinhane/CS229-ML-Implements/tree/master/00-SupervisedLearning/01-LinearRegression)
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/LWR.gif)

## [Logistic Regression](https://github.com/Sierkinhane/CS229-ML-Implements/tree/master/00-SupervisedLearning/02-Classification)
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/logisticR.gif)

## [Softmax Regression](https://github.com/Sierkinhane/CS229-ML-Implements/tree/master/00-SupervisedLearning/03-GeneralizedLinearModels)
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/softmaxR.gif)

## [Gaussian Discriminant Analysis](https://github.com/Sierkinhane/CS229-ML-Implements/tree/master/00-SupervisedLearning/04-GenerativeLearningAlgorithms)
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/GDA.png)
![](https://github.com/Sierkinhane/CS229-ML-Implements/blob/master/GIF/GDA2.png)


## TO BE CONTINUED