docs(readme): version: v1.0.0

Optimize the CRNN architecture while achieving super lightweight **CRNN_Tiny**. <br>In addition, all training scripts support mixed precision training.
zjykzj · Aug 3, 2024 · dfcdb35 · dfcdb35
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 ## News🚀🚀🚀
 
-| Version                                                          | Release Date | Major Updates                                                                          |
-|------------------------------------------------------------------|--------------|----------------------------------------------------------------------------------------|
-| [v0.3.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v0.3.0) | 2024/08/03   | Implement models CRNN_LSTM and CRNN_GRU on datasets EMNIST and ChineseLicensePlate.    |
-| [v0.2.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v0.2.0) | 2023/10/11   | Support training/evaluation/prediction of CRNN+CTC based on license plate.             |
-| [v0.1.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v0.1.0) | 2023/10/10   | Support training/evaluation/prediction of CRNN+CTC based on EMNIST digital characters. |
+| Version                                                          | Release Date | Major Updates                                                                                                                                                 |
+|------------------------------------------------------------------|--------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| [v1.0.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v1.0.0) | 2024/08/04   | Optimize the CRNN architecture while achieving super lightweight **CRNN_Tiny**. <br>In addition, all training scripts support mixed precision training. |
+| [v0.3.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v0.3.0) | 2024/08/03   | Implement models **CRNN_LSTM** and **CRNN_GRU** on datasets EMNIST and ChineseLicensePlate.                                                                           |
+| [v0.2.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v0.2.0) | 2023/10/11   | Support training/evaluation/prediction of CRNN+CTC based on license plate.                                                                                    |
+| [v0.1.0](https://github.com/zjykzj/crnn-ctc/releases/tag/v0.1.0) | 2023/10/10   | Support training/evaluation/prediction of CRNN+CTC based on EMNIST digital characters.                                                                        |
 
 ## Background
 
@@ -55,7 +56,7 @@ This warehouse aims to better understand and apply CRNN+CTC, and currently achie
 ## Installation
 
 ```shell
-pip install -r requirements.txt
+$ pip install -r requirements.txt
 ```
 
 ## Usage