build(version): v1.0.0

Implementing license plate detection, segmentation, and recognition functions.

README.md

@@ -24,7 +24,7 @@ Implementing license plate detection, segmentation, and recognition functions ba
 - [Background](#background)
 - [Usage](#usage)
   - [Detect + Seg](#detect--seg)
-  - [Add recognition](#add-recognition)
+  - [Recog](#recog)
 - [Maintainers](#maintainers)
 - [Thanks](#thanks)
 - [Contributing](#contributing)
@@ -34,6 +34,7 @@ Implementing license plate detection, segmentation, and recognition functions ba
 
 | Version                                                       | Release Date | Major Updates                                                                                                                           |
 |---------------------------------------------------------------|--------------|-----------------------------------------------------------------------------------------------------------------------------------------|
+| [v1.0.0](https://github.com/zjykzj/LPDet/releases/tag/v1.0.0) | 2024/07/21   | Implementing license plate detection, segmentation, and recognition functions.                                                          |
 | [v0.3.0](https://github.com/zjykzj/LPDet/releases/tag/v0.3.0) | 2023/10/03   | Support for Automatic Mixed Precision (AMP) training.                                                                                   |
 | [v0.2.0](https://github.com/zjykzj/LPDet/releases/tag/v0.2.0) | 2023/10/02   | Support for distributed training with multi-GPUs.                                                                                       |
 | [v0.1.0](https://github.com/zjykzj/LPDet/releases/tag/v0.1.0) | 2023/09/29   | Reconstruct the [872699467/CCPD_CNN](https://github.com/872699467/CCPD_CNN) implementation to adapt to interfaces after Pytorch v1.0.0. |
@@ -46,7 +47,7 @@ This warehouse provides a complete license plate detection and recognition algor
 
 ### Detect + Seg
 
-Firstly, download CCPD2020([Google Drive](https://drive.google.com/file/d/1m8w1kFxnCEiqz_-t2vTcgrgqNIv986PR/view?usp=sharing)); Then, use the [ccpd2yolo.py](./ccpd2yolo.py) script to convert the dataset to YOLO format.
+Firstly, download CCPD2020([Google Drive](https://drive.google.com/file/d/1m8w1kFxnCEiqz_-t2vTcgrgqNIv986PR/view?usp=sharing)); Then, use the script [ccpd2yolo.py](./ccpd2yolo.py) to convert the dataset to YOLO format.
 
 ```shell
 # Train
@@ -59,7 +60,7 @@ $ python segment/predict.py --weights runs/yolov5n-seg_ccpd-green.pt --source ./
 
 <img src="assets/results/predict/02625-94_253-242&460_494&565-494&565_256&530_242&460_485&480-0_0_3_24_24_29_25_32-76-47.jpg" alt="Image1" style="width: 200px;"> <img src="assets/results/predict/03521267361111111-104_252-253&406_497&551-493&551_257&476_253&406_497&474-0_0_3_27_33_33_31_24-135-132.jpg" alt="Image 2" style="width: 200px;">
 
-### Add recognition
+### Recog
 
 Train license plate recognition algorithm using [zjykzj/crnn-ctc](https://github.com/zjykzj/crnn-ctc)
 
@@ -81,12 +82,12 @@ $ python3 segment/predict_plate.py --weights runs/yolov5n-seg_ccpd-green.pt --w-
 
 ## Thanks
 
-* [ultralytics/yolov5](https://github.com/ultralytics/yolov5)
-* [zjykzj/crnn-ctc](https://github.com/zjykzj/crnn-ctc)
 * [detectRecog/CCPD](https://github.com/detectRecog/CCPD)
 * [872699467/CCPD_CNN](https://github.com/872699467/CCPD_CNN)
 * [zjykzj/FastestDet](https://github.com/zjykzj/FastestDet)
 * [zjykzj/YOLOv5](https://github.com/zjykzj/YOLOv5)
+* [zjykzj/crnn-ctc](https://github.com/zjykzj/crnn-ctc)
+* [ultralytics/yolov5](https://github.com/ultralytics/yolov5)
 
 ## Contributing