add fleet chain and update inference_rec.yaml and corresponding output for feature_extraction.md

deploy/configs/inference_rec.yaml

@@ -15,14 +15,15 @@ Global:
 RecPreProcess:
   transform_ops:
     - ResizeImage:
-        resize_short: 256
-    - CropImage:
-        size: 224
+        size: [224, 224]
+        return_numpy: False
+        interpolation: bilinear
+        backend: cv2
     - NormalizeImage:
-        scale: 0.00392157
+        scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]
         std: [0.229, 0.224, 0.225]
-        order: ""
+        order: hwc
     - ToCHWImage:
 
 RecPostProcess: null

docs/zh_CN/image_recognition_pipeline/feature_extraction.md

@@ -252,12 +252,12 @@ python3.7 python/predict_rec.py \
 得到的特征输出格式如下所示：
 
 ```log
-wangzai.jpg:    [-4.72979844e-02  3.40038240e-02 -4.06982675e-02  2.46225717e-03
-  9.67078656e-03  2.70162839e-02 -8.85589980e-03 -4.71983254e-02
-  6.18615076e-02  1.38509814e-02 -1.11342799e-02  6.73768669e-02
- -1.03065455e-02 -4.88462113e-02  8.46387446e-03  1.57074817e-02
+wangzai.jpg:    [-7.82453567e-02  2.55877394e-02 -3.66694555e-02  1.34572461e-02
+  4.39076796e-02 -2.34078392e-02 -9.49947070e-03  1.28221214e-02
+  5.53947650e-02  1.01355985e-02 -1.06436480e-02  4.97181974e-02
+ -2.21862812e-02 -1.75557341e-02  1.55848479e-02 -3.33278324e-03
  ...
- -3.14170569e-02  7.35917836e-02 -3.09373233e-02 -2.31755469e-02]
+ -3.40284109e-02  8.35561901e-02  2.10910216e-02 -3.27066667e-02]
 ```
 
 在实际使用过程中，仅仅得到特征可能并不能满足业务需求。如果想进一步通过特征检索来进行图像识别，可以参照文档 [向量检索](./vector_search.md)。

test_tipc/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt

@@ -0,0 +1,54 @@
+===========================train_params===========================
+model_name:GeneralRecognition_PPLCNet_x2_5
+python:python3.7
+gpu_list:192.168.0.1,192.168.0.2;0,1
+-o Global.device:gpu
+-o Global.auto_cast:null
+-o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=120
+-o Global.output_dir:./output/
+-o DataLoader.Train.sampler.batch_size:8
+-o Global.pretrained_model:null
+train_model_name:latest
+train_infer_img_dir:./dataset/ILSVRC2012/val
+null:null
+##
+trainer:norm_train
+norm_train:tools/train.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -o Global.eval_during_train=False -o Global.save_interval=2 -o DataLoader.Train.dataset.cls_label_path=./dataset/train_reg_all_data.txt -o DataLoader.Train.loader.sampler.batch_size=8
+pact_train:null
+fpgm_train:null
+distill_train:null
+null:null
+null:null
+##
+===========================eval_params===========================
+eval:tools/eval.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml
+null:null
+##
+===========================infer_params==========================
+-o Global.save_inference_dir:./inference
+-o Global.pretrained_model:
+norm_export:tools/export_model.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml
+quant_export:null
+fpgm_export:null
+distill_export:null
+kl_quant:null
+export2:null
+pretrained_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/pretrain/PPShiTuV2/general_PPLCNetV2_base_pretrained_v1.0.pdparams
+infer_model:../inference/
+infer_export:True
+infer_quant:Fasle
+inference:python/predict_rec.py -c configs/inference_rec.yaml
+-o Global.use_gpu:True|False
+-o Global.enable_mkldnn:False
+-o Global.cpu_num_threads:1
+-o Global.batch_size:1
+-o Global.use_tensorrt:False
+-o Global.use_fp16:False
+-o Global.rec_inference_model_dir:../inference
+-o Global.infer_imgs:../dataset/Aliproduct/demo_test/
+-o Global.save_log_path:null
+-o Global.benchmark:False
+null:null
+null:null
+===========================infer_benchmark_params==========================
+random_infer_input:[{float32,[3,224,224]}]