merge build_** and inferernce_**.yaml

deploy/configs/build_cartoon.yaml

-Global:
-  rec_inference_model_dir: "./models/cartoon_rec_ResNet50_iCartoon_v1.0_infer/"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: True
-  cpu_num_threads: 10
-  enable_benchmark: True
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        resize_short: 256
-    - CropImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess: null
-
-# indexing engine config
-IndexProcess:
-  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
-  index_dir: "./recognition_demo_data_v1.1/gallery_cartoon/index/"
-  image_root: "./recognition_demo_data_v1.1/gallery_cartoon/"
-  data_file:  "./recognition_demo_data_v1.1/gallery_cartoon/data_file.txt"
-  index_operation: "new" # suported: "append", "remove", "new"
-  delimiter: "\t"
-  dist_type: "IP"
-  embedding_size: 2048

deploy/configs/build_drinks.yaml

-Global:
-  rec_inference_model_dir: "./models/general_PPLCNet_x2_5_lite_v1.0_infer"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: False
-  cpu_num_threads: 10
-  enable_benchmark: False
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess: null
-
-# indexing engine config
-IndexProcess:
-  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
-  index_dir: "./drink_dataset/index"
-  image_root: "./drink_dataset"
-  data_file:  "./drink_dataset/drink_label.txt"
-  index_operation: "new" # suported: "append", "remove", "new"
-  delimiter: " "
-  dist_type: "IP"
-  embedding_size: 512

deploy/configs/build_general.yaml

-Global:
-  rec_inference_model_dir: "./models/general_PPLCNet_x2_5_lite_v1.0_infer"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: True
-  cpu_num_threads: 10
-  enable_benchmark: True
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess: null
-
-# indexing engine config
-IndexProcess:
-  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
-  image_root: "./drink_dataset_v1.0/gallery/"
-  index_dir: "./drink_dataset_v1.0/index"
-  data_file:  "./drink_dataset_v1.0/gallery/drink_label.txt"
-  index_operation: "new" # suported: "append", "remove", "new"
-  delimiter: "\t"
-  dist_type: "IP"
-  embedding_size: 512

deploy/configs/build_logo.yaml

-Global:
-  rec_inference_model_dir: "./models/logo_rec_ResNet50_Logo3K_v1.0_infer/"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: True
-  cpu_num_threads: 10
-  enable_benchmark: True
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess: null
-
-# indexing engine config
-IndexProcess:
-  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
-  index_dir: "./recognition_demo_data_v1.1/gallery_logo/index/"
-  image_root: "./recognition_demo_data_v1.1/gallery_logo/"
-  data_file:  "./recognition_demo_data_v1.1/gallery_logo/data_file.txt"
-  index_operation: "new" # suported: "append", "remove", "new"
-  delimiter: "\t"
-  dist_type: "IP"
-  embedding_size: 512

deploy/configs/build_product.yaml

-Global:
-  rec_inference_model_dir: "./models/product_ResNet50_vd_aliproduct_v1.0_infer"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: True
-  cpu_num_threads: 10
-  enable_benchmark: True
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess: null
-
-# indexing engine config
-IndexProcess:
-  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
-  index_dir: "./recognition_demo_data_v1.1/gallery_product/index"
-  image_root: "./recognition_demo_data_v1.1/gallery_product/"
-  data_file:  "./recognition_demo_data_v1.1/gallery_product/data_file.txt"
-  index_operation: "new" # suported: "append", "remove", "new"
-  delimiter: "\t"
-  dist_type: "IP"
-  embedding_size: 512

deploy/configs/build_product_binary.yaml

-Global:
-  rec_inference_model_dir: "./models/product_MV3_x1_0_aliproduct_bin_v1.0_infer"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: True
-  cpu_num_threads: 10
-  enable_benchmark: True
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess:
-  main_indicator: Binarize
-  Binarize:
-    method: "round"
-
-# indexing engine config
-IndexProcess:
-  index_method: "Flat"    # supported: HNSW32, Flat
-  index_dir: "./recognition_demo_data_v1.1/gallery_product/index_binary"
-  image_root: "./recognition_demo_data_v1.1/gallery_product/"
-  data_file:  "./recognition_demo_data_v1.1/gallery_product/data_file.txt"
-  index_operation: "new"  # suported: "append", "remove", "new"
-  delimiter: "\t"
-  dist_type: "hamming"
-  embedding_size: 512

deploy/configs/build_vehicle.yaml

-Global:
-  rec_inference_model_dir: "./models/vehicle_cls_ResNet50_CompCars_v1.0_infer/"
-  batch_size: 32
-  use_gpu: True
-  enable_mkldnn: True
-  cpu_num_threads: 10
-  enable_benchmark: True
-  use_fp16: False
-  ir_optim: True
-  use_tensorrt: False
-  gpu_mem: 8000
-  enable_profile: False
-
-RecPreProcess:
-  transform_ops:
-    - ResizeImage:
-        size: 224
-    - NormalizeImage:
-        scale: 0.00392157
-        mean: [0.485, 0.456, 0.406]
-        std: [0.229, 0.224, 0.225]
-        order: ''
-    - ToCHWImage:
-
-RecPostProcess: null
-
-# indexing engine config
-IndexProcess:
-  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
-  index_dir: "./recognition_demo_data_v1.1/gallery_vehicle/index/"
-  image_root: "./recognition_demo_data_v1.1/gallery_vehicle/"
-  data_file:  "./recognition_demo_data_v1.1/gallery_vehicle/data_file.txt"
-  index_operation: "new" # suported: "append", "remove", "new"
-  delimiter: "\t"
-  dist_type: "IP"
-  embedding_size: 512

deploy/configs/inference_cartoon.yaml

@@ -50,7 +50,16 @@ RecPreProcess:
 
 RecPostProcess: null
 
+# indexing engine config
 IndexProcess:
+  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
   index_dir: "./recognition_demo_data_v1.1/gallery_cartoon/index/"
+  image_root: "./recognition_demo_data_v1.1/gallery_cartoon/"
+  data_file:  "./recognition_demo_data_v1.1/gallery_cartoon/data_file.txt"
+  index_operation: "new" # suported: "append", "remove", "new"
+  delimiter: "\t"
+  dist_type: "IP"
+  embedding_size: 2048
+  batch_size: 32
   return_k: 5
   score_thres: 0.5

deploy/configs/inference_cls.yaml

@@ -11,6 +11,7 @@ Global:
   use_tensorrt: False
   gpu_mem: 8000
   enable_profile: False
+
 PreProcess:
   transform_ops:
     - ResizeImage:
@@ -24,6 +25,7 @@ PreProcess:
         order: ''
         channel_num: 3
     - ToCHWImage:
+
 PostProcess:
   main_indicator: Topk
   Topk:

deploy/configs/inference_cls_ch4.yaml

@@ -11,6 +11,7 @@ Global:
   use_tensorrt: False
   gpu_mem: 8000
   enable_profile: False
+
 PreProcess:
   transform_ops:
     - ResizeImage:
@@ -24,6 +25,7 @@ PreProcess:
         order: ''
         channel_num: 4
     - ToCHWImage:
+
 PostProcess:
   main_indicator: Topk
   Topk:

deploy/configs/inference_multilabel_cls.yaml → deploy/configs/inference_cls_multilabel.yaml

@@ -11,6 +11,7 @@ Global:
   use_tensorrt: False
   gpu_mem: 8000
   enable_profile: False
+
 PreProcess:
   transform_ops:
     - ResizeImage:
@@ -24,6 +25,7 @@ PreProcess:
         order: ''
         channel_num: 3
     - ToCHWImage:
+    
 PostProcess:
   main_indicator: MultiLabelTopk
   MultiLabelTopk:

deploy/configs/inference_det.yaml

@@ -30,4 +30,5 @@ DetPreProcess:
         mean: [0.485, 0.456, 0.406]
         std: [0.229, 0.224, 0.225]
     - DetPermute: {}
+    
 DetPostProcess: {}

deploy/configs/inference_drink.yaml

 Global:
-  infer_imgs: "./recognition_demo_data_v1.2/test_drinks/hongniu_1.jpg"
+  infer_imgs: "./drink_dataset_v1.0/test_images/hongniu_1.jpg"
   det_inference_model_dir: "./models/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer"
   rec_inference_model_dir: "./models/general_PPLCNet_x2_5_lite_v1.0_infer"
   rec_nms_thresold: 0.05
-  
+
   batch_size: 1
   image_shape: [3, 640, 640]
   threshold: 0.2
@@ -11,11 +11,10 @@ Global:
   labe_list:
   - foreground
 
-  # inference engine config
   use_gpu: True
   enable_mkldnn: False
   cpu_num_threads: 10
-  enable_benchmark: True
+  enable_benchmark: False
   use_fp16: False
   ir_optim: True
   use_tensorrt: False
@@ -33,6 +32,7 @@ DetPreProcess:
         mean: [0.485, 0.456, 0.406]
         std: [0.229, 0.224, 0.225]
     - DetPermute: {}
+
 DetPostProcess: {}
 
 RecPreProcess:
@@ -50,6 +50,15 @@ RecPostProcess: null
 
 # indexing engine config
 IndexProcess:
-  index_dir: "./drink_dataset/index"
+  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
+  index_dir: "./drink_dataset_v1.0/gallery"
+  image_root: "./drink_dataset_v1.0/index"
+  data_file:  "./drink_dataset_v1.0/gallery/drink_label.txt"
+  index_operation: "new" # suported: "append", "remove", "new"
+  delimiter: " "
+  dist_type: "IP"
+  embedding_size: 512
+  batch_size: 32
   return_k: 5
   score_thres: 0.4
+

deploy/configs/inference_general.yaml

@@ -3,7 +3,7 @@ Global:
   det_inference_model_dir: "./models/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer"
   rec_inference_model_dir: "./models/general_PPLCNet_x2_5_lite_v1.0_infer"
   rec_nms_thresold: 0.05
-  
+
   batch_size: 1
   image_shape: [3, 640, 640]
   threshold: 0.2
@@ -11,7 +11,6 @@ Global:
   labe_list:
   - foreground
 
-  # inference engine config
   use_gpu: True
   enable_mkldnn: True
   cpu_num_threads: 10
@@ -33,6 +32,7 @@ DetPreProcess:
         mean: [0.485, 0.456, 0.406]
         std: [0.229, 0.224, 0.225]
     - DetPermute: {}
+
 DetPostProcess: {}
 
 RecPreProcess:
@@ -50,6 +50,15 @@ RecPostProcess: null
 
 # indexing engine config
 IndexProcess:
-  index_dir: "./drink_dataset_v1.0/index/"
+  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
+  image_root: "./drink_dataset_v1.0/gallery/"
+  index_dir: "./drink_dataset_v1.0/index"
+  data_file:  "./drink_dataset_v1.0/gallery/drink_label.txt"
+  index_operation: "new" # suported: "append", "remove", "new"
+  delimiter: "\t"
+  dist_type: "IP"
+  embedding_size: 512
+  batch_size: 32
   return_k: 5
   score_thres: 0.5
+

deploy/configs/inference_logo.yaml

@@ -11,7 +11,6 @@ Global:
   labe_list:
   - foreground
 
-  # inference engine config
   use_gpu: True
   enable_mkldnn: True
   cpu_num_threads: 10
@@ -33,6 +32,7 @@ DetPreProcess:
         mean: [0.485, 0.456, 0.406]
         std: [0.229, 0.224, 0.225]
     - DetPermute: {}
+
 DetPostProcess: {}
 
 RecPreProcess:
@@ -50,6 +50,15 @@ RecPostProcess: null
 
 # indexing engine config
 IndexProcess:
+  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
   index_dir: "./recognition_demo_data_v1.1/gallery_logo/index/"
+  image_root: "./recognition_demo_data_v1.1/gallery_logo/"
+  data_file:  "./recognition_demo_data_v1.1/gallery_logo/data_file.txt"
+  index_operation: "new" # suported: "append", "remove", "new"
+  delimiter: "\t"
+  dist_type: "IP"
+  embedding_size: 512
+  batch_size: 32
   return_k: 5
   score_thres: 0.5
+

deploy/configs/inference_product.yaml

@@ -33,6 +33,7 @@ DetPreProcess:
         mean: [0.485, 0.456, 0.406]
         std: [0.229, 0.224, 0.225]
     - DetPermute: {}
+
 DetPostProcess: {}
 
 RecPreProcess:
@@ -50,6 +51,14 @@ RecPostProcess: null
 
 # indexing engine config
 IndexProcess:
+  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
   index_dir: "./recognition_demo_data_v1.1/gallery_product/index"
+  image_root: "./recognition_demo_data_v1.1/gallery_product/"
+  data_file:  "./recognition_demo_data_v1.1/gallery_product/data_file.txt"
+  index_operation: "new" # suported: "append", "remove", "new"
+  delimiter: "\t"
+  dist_type: "IP"
+  embedding_size: 512
+  batch_size: 32
   return_k: 5
   score_thres: 0.5

deploy/configs/inference_product_binary.yaml

@@ -53,8 +53,16 @@ RecPostProcess:
 
 # indexing engine config
 IndexProcess:
-  binary_index: true
+  index_method: "Flat"    # supported: HNSW32, Flat
   index_dir: "./recognition_demo_data_v1.1/gallery_product/index_binary"
+  image_root: "./recognition_demo_data_v1.1/gallery_product/"
+  data_file:  "./recognition_demo_data_v1.1/gallery_product/data_file.txt"
+  index_operation: "new"  # suported: "append", "remove", "new"
+  delimiter: "\t"
+  dist_type: "hamming"
+  embedding_size: 512
+  batch_size: 32
+  binary_index: true
   return_k: 5
   score_thres: 0
   

deploy/configs/inference_rec.yaml

@@ -2,13 +2,6 @@ Global:
   infer_imgs: "./images/wangzai.jpg"
   rec_inference_model_dir: "./models/product_ResNet50_vd_aliproduct_v1.0_infer"
   batch_size: 1
-  image_shape: [3, 640, 640]
-  threshold: 0.5
-  max_det_results: 1
-  labe_list:
-  - foreground
-
-  # inference engine config
   use_gpu: False
   enable_mkldnn: True
   cpu_num_threads: 10

deploy/configs/inference_vehicle.yaml

@@ -11,7 +11,6 @@ Global:
   labe_list:
   - foreground
 
-  # inference engine config
   use_gpu: True
   enable_mkldnn: True
   cpu_num_threads: 10
@@ -36,7 +35,6 @@ DetPreProcess:
 
 DetPostProcess: {}
 
-
 RecPreProcess:
   transform_ops:
     - ResizeImage:
@@ -52,6 +50,15 @@ RecPostProcess: null
 
 # indexing engine config
 IndexProcess:
-    index_dir: "./recognition_demo_data_v1.1/gallery_vehicle/index/"
-    return_k: 5
-    score_thres: 0.5
+  index_method: "HNSW32" # supported: HNSW32, IVF, Flat
+  index_dir: "./recognition_demo_data_v1.1/gallery_vehicle/index/"
+  image_root: "./recognition_demo_data_v1.1/gallery_vehicle/"
+  data_file:  "./recognition_demo_data_v1.1/gallery_vehicle/data_file.txt"
+  index_operation: "new" # suported: "append", "remove", "new"
+  delimiter: "\t"
+  dist_type: "IP"
+  embedding_size: 512
+  batch_size: 32
+  return_k: 5
+  score_thres: 0.5
+

docs/zh_CN/quick_start/quick_start_recognition.md

@@ -38,10 +38,10 @@
 
 <a name="轻量级通用主体检测模型与轻量级通用识别模型"></a>
 
-| 模型简介       | 推荐场景   | inference 模型  | 预测配置文件  | 构建索引库的配置文件 |
-| ------------  | ------------- | -------- | ------- | -------- |
-| 轻量级通用主体检测模型 | 通用场景  |[tar 格式文件下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer.tar) [zip 格式文件下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer.zip) | - | - |
-| 轻量级通用识别模型 | 通用场景  | [tar 格式下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/general_PPLCNet_x2_5_lite_v1.0_infer.tar) [zip 格式文件下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/general_PPLCNet_x2_5_lite_v1.0_infer.zip) | [inference_general.yaml](../../../deploy/configs/inference_general.yaml) | [build_general.yaml](../../../deploy/configs/build_general.yaml) |
+| 模型简介       | 推荐场景   | inference 模型  | 预测配置文件  |
+| ------------  | ------------- | -------- | ------- |
+| 轻量级通用主体检测模型 | 通用场景  |[tar 格式文件下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer.tar) [zip 格式文件下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer.zip) | - |
+| 轻量级通用识别模型 | 通用场景  | [tar 格式下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/general_PPLCNet_x2_5_lite_v1.0_infer.tar) [zip 格式文件下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/general_PPLCNet_x2_5_lite_v1.0_infer.zip) | [inference_general.yaml](../../../deploy/configs/inference_general.yaml) |
 
 注意：由于部分解压缩软件在解压上述 `tar` 格式文件时存在问题，建议非命令行用户下载 `zip` 格式文件并解压。`tar` 格式文件建议使用命令 `tar xf xxx.tar` 解压。
 
@@ -129,7 +129,7 @@ wget https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/data/drink_da
 
 ```shell
 # 下面是使用下载的服务端商品识别模型进行索引库构建
-python3.7 python/build_gallery.py -c configs/build_general.yaml -o Global.rec_inference_model_dir=./models/general_PPLCNet_x2_5_lite_v1.0_infer
+python3.7 python/build_gallery.py -c configs/inference_general.yaml -o Global.rec_inference_model_dir=./models/general_PPLCNet_x2_5_lite_v1.0_infer
 ```
 
 <a name="瓶装饮料识别与检索"></a>
@@ -256,7 +256,7 @@ python3.7 python/predict_system.py -c configs/inference_general.yaml -o Global.i
 使用下面的命令构建 `index` 索引，加速识别后的检索过程。
 
 ```shell
-python3.7 python/build_gallery.py -c configs/build_general.yaml -o IndexProcess.data_file="./drink_dataset_v1.0/gallery/drink_label_all.txt" -o IndexProcess.index_dir="./drink_dataset_v1.0/index_all"
+python3.7 python/build_gallery.py -c configs/inference_general.yaml -o IndexProcess.data_file="./drink_dataset_v1.0/gallery/drink_label_all.txt" -o IndexProcess.index_dir="./drink_dataset_v1.0/index_all"
 ```
 
 最终新的索引信息保存在文件夹 `./drink_dataset_v1.0/index_all` 中。具体 `yaml` 请参考[向量检索文档](../image_recognition_pipeline/vector_search.md)。
@@ -290,14 +290,14 @@ python3.7 python/predict_system.py -c configs/inference_general.yaml -o Global.i
 
 目前，我们更推荐您使用[轻量级通用主体检测模型与轻量级通用识别模型](#轻量级通用主体检测模型与轻量级通用识别模型)，以获得更好的测试结果。但是如果您希望体验服务端识别模型，服务器端通用主体检测模型与各方向识别模型、测试数据下载地址以及对应的配置文件地址如下。
 
-| 模型简介       | 推荐场景   | inference 模型  | 预测配置文件  | 构建索引库的配置文件 |
-| ------------  | ------------- | -------- | ------- | -------- |
-| 通用主体检测模型 | 通用场景  |[模型下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/ppyolov2_r50vd_dcn_mainbody_v1.0_infer.tar) | - | - |
-| Logo 识别模型 | Logo 场景  | [模型下载链接](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) |
-| 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_VERIWild_v1.0_infer.tar) | - | - |
+| 模型简介       | 推荐场景   | inference 模型  | 预测配置文件  |
+| ------------  | ------------- | -------- | ------- |
+| 通用主体检测模型 | 通用场景  |[模型下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/ppyolov2_r50vd_dcn_mainbody_v1.0_infer.tar) | - |
+| Logo 识别模型 | Logo 场景  | [模型下载链接](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) |
+| 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) |
+| 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) |
+| 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) |
+| 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_VERIWild_v1.0_infer.tar) | [inference_vehicle.yaml](../../../deploy/configs/inference_vehicle.yaml) |
 
 ```shell
 cd PaddleClas/deploy/