汉字识别-基于CRNN的中文汉字识别-附模型下载+训练数据集下载+项目源码-优质项目实战.zip

# Characters Recognition A Chinese characters recognition repository based on convolutional recurrent networks. ## Performance #### Recognize characters in pictures <p align='center'> <img src='images/demo.png' title='example' style='max-width:600px'></img> </p> <p align='center'> <img src='images/demo_2.jpg' title='example2' style='max-width:600px'></img> </p> ## Dev Environments 1. WIN 10 or Ubuntu 16.04 2. **PyTorch 1.2.0 (may fix ctc loss)** with cuda 10.0 🔥 3. yaml 4. easydict 5. tensorboardX ### Data #### Synthetic Chinese String Dataset 1. Download the [dataset](Link: https://pan.baidu.com/s/1e1m7dD6WcsesHNT6L2Fu0Q Extract code: 6666) 2. Edit **lib/config/360CC_config.yaml** DATA:ROOT to you image path ```angular2html DATASET: ROOT: 'to/your/images/path' ``` 3. Download the [labels](Link: https://pan.baidu.com/s/1o6TpuVC-gZMjLaMgc6c05A Extract code: 6666) 4. Put *char_std_5990.txt* in **lib/dataset/txt/** 5. And put *train.txt* and *test.txt* in **lib/dataset/txt/** eg. test.txt ``` 20456343_4045240981.jpg 89 201 241 178 19 94 19 22 26 656 20457281_3395886438.jpg 120 1061 2 376 78 249 272 272 120 1061 ... ``` #### Or your own data 1. Edit **lib/config/OWN_config.yaml** DATA:ROOT to you image path ```angular2html DATASET: ROOT: 'to/your/images/path' ``` 2. And put your *train_own.txt* and *test_own.txt* in **lib/dataset/txt/** eg. test_own.txt ``` 20456343_4045240981.jpg 你好啊！祖国！ 20457281_3395886438.jpg 晚安啊！世界！ ... ``` **note**: fixed-length training is supported. yet you can modify dataloader to support random length training. ## Train ```angular2html [run] python train.py --cfg lib/config/360CC_config.yaml or [run] python train.py --cfg lib/config/OWN_config.yaml ``` ``` #### loss curve ```angular2html [run] cd output/360CC/crnn/xxxx-xx-xx-xx-xx/ [run] tensorboard --logdir log ``` #### loss overview(first epoch) <center/> <img src='images/train_loss.png' title='loss1' style='max-width:800px'></img> </center> <p> <img src='images/tb_loss.png' title='loss1' style='max-width:600px'></img> </p> ## Demo ```angular2html [run] python demo.py --image_path images/test.png --checkpoint output/checkpoints/mixed_second_finetune_acc_97P7.pth ```