add vehicle reid model

docs/en/tutorials/quick_start_recognition_en.md

@@ -39,8 +39,9 @@ The detection model with the recognition inference model for the 4 directions (L
 | Generic mainbody detection model | General Scenarios |[Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/ppyolov2_r50vd_dcn_mainbody_v1.0_infer.tar) | - | - |
 | Logo Recognition Model | Logo Scenario  |  [Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/logo_rec_ResNet50_Logo3K_v1.0_infer.tar) | [inference_logo.yaml](../../../deploy/configs/inference_logo.yaml) | [build_logo.yaml](../../../deploy/configs/build_logo.yaml) |
 | Cartoon Face Recognition Model| Cartoon Face Scenario  | [Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/cartoon_rec_ResNet50_iCartoon_v1.0_infer.tar) | [inference_cartoon.yaml](../../../deploy/configs/inference_cartoon.yaml) | [build_cartoon.yaml](../../../deploy/configs/build_cartoon.yaml) |
-| Vehicle Subclassification Model | Vehicle Scenario  |   [Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/vehicle_cls_ResNet50_CompCars_v1.0_infer.tar) | [inference_vehicle.yaml](../../../deploy/configs/inference_vehicle.yaml) | [build_vehicle.yaml](../../../deploy/configs/build_vehicle.yaml) |
+| Vehicle Fine-Grained Classfication Model | Vehicle Scenario  |   [Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/vehicle_cls_ResNet50_CompCars_v1.0_infer.tar) | [inference_vehicle.yaml](../../../deploy/configs/inference_vehicle.yaml) | [build_vehicle.yaml](../../../deploy/configs/build_vehicle.yaml) |
 | Product Recignition Model | Product Scenario  |  [Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/product_ResNet50_vd_Inshop_v1.0_infer.tar) | [inference_product.yaml](../../../deploy/configs/inference_product.yaml) | [build_product.yaml](../../../deploy/configs/build_product.yaml) |
+| Vehicle ReID Model | Vehicle ReID Scenario | [Model Download Link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/vehicle_reid_ResNet50_VERI_Wild_v1.0_infer.tar) | - | - |
 
 
 Demo data in this tutorial can be downloaded here: [download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/data/recognition_demo_data_en_v1.0.tar).
@@ -237,12 +238,12 @@ cp recognition_demo_data_v1.0/gallery_product/data_file.txt recognition_demo_dat
 Then add some new lines into the new label file, which is shown as follows.
 
 ```
-gallery/anmuxi/001.jpg	Anmuxi Ambrosial Yogurt
-gallery/anmuxi/002.jpg	Anmuxi Ambrosial Yogurt
-gallery/anmuxi/003.jpg	Anmuxi Ambrosial Yogurt
-gallery/anmuxi/004.jpg	Anmuxi Ambrosial Yogurt
-gallery/anmuxi/005.jpg	Anmuxi Ambrosial Yogurt
-gallery/anmuxi/006.jpg	Anmuxi Ambrosial Yogurt
+gallery/anmuxi/001.jpg    Anmuxi Ambrosial Yogurt
+gallery/anmuxi/002.jpg    Anmuxi Ambrosial Yogurt
+gallery/anmuxi/003.jpg    Anmuxi Ambrosial Yogurt
+gallery/anmuxi/004.jpg    Anmuxi Ambrosial Yogurt
+gallery/anmuxi/005.jpg    Anmuxi Ambrosial Yogurt
+gallery/anmuxi/006.jpg    Anmuxi Ambrosial Yogurt
 ```
 
 Each line can be splited into two fields. The first field denotes the relative image path, and the second field denotes its label. The `delimiter` is `tab` here.

docs/zh_CN/tutorials/quick_start_recognition.md

@@ -41,6 +41,7 @@
 | 动漫人物识别模型 | 动漫人物场景  | [模型下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/cartoon_rec_ResNet50_iCartoon_v1.0_infer.tar) | [inference_cartoon.yaml](../../../deploy/configs/inference_cartoon.yaml) | [build_cartoon.yaml](../../../deploy/configs/build_cartoon.yaml) |
 | 车辆细分类模型 | 车辆场景  |  [模型下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/vehicle_cls_ResNet50_CompCars_v1.0_infer.tar) | [inference_vehicle.yaml](../../../deploy/configs/inference_vehicle.yaml) | [build_vehicle.yaml](../../../deploy/configs/build_vehicle.yaml) |
 | 商品识别模型 | 商品场景  |  [模型下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/product_ResNet50_vd_aliproduct_v1.0_infer.tar) | [inference_product.yaml](../../../deploy/configs/inference_product.yaml) | [build_product.yaml](../../../deploy/configs/build_product.yaml) |
+| 车辆ReID模型 | 车辆ReID场景 | [模型下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/vehicle_reid_ResNet50_VERI_Wild_v1.0_infer.tar) | - | - |
 
 
 本章节demo数据下载地址如下: [数据下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/data/recognition_demo_data_v1.0.tar)。
@@ -236,12 +237,12 @@ cp recognition_demo_data_v1.0/gallery_product/data_file.txt recognition_demo_dat
 然后在文件`recognition_demo_data_v1.0/gallery_product/data_file_update.txt`中添加以下的信息，
 
 ```
-gallery/anmuxi/001.jpg	安慕希酸奶
-gallery/anmuxi/002.jpg	安慕希酸奶
-gallery/anmuxi/003.jpg	安慕希酸奶
-gallery/anmuxi/004.jpg	安慕希酸奶
-gallery/anmuxi/005.jpg	安慕希酸奶
-gallery/anmuxi/006.jpg	安慕希酸奶
+gallery/anmuxi/001.jpg    安慕希酸奶
+gallery/anmuxi/002.jpg    安慕希酸奶
+gallery/anmuxi/003.jpg    安慕希酸奶
+gallery/anmuxi/004.jpg    安慕希酸奶
+gallery/anmuxi/005.jpg    安慕希酸奶
+gallery/anmuxi/006.jpg    安慕希酸奶
 ```
 
 每一行的文本中，第一个字段表示图像的相对路径，第二个字段表示图像对应的标签信息，中间用`tab`键分隔开（注意：有些编辑器会将`tab`自动转换为`空格`，这种情况下会导致文件解析报错）。