fix tipc serving doc

deploy/pdserving/README.md

@@ -78,27 +78,27 @@ Then, you can use installed paddle_serving_client tool to convert inference mode
 python3 -m paddle_serving_client.convert --dirname ./ch_PP-OCRv2_det_infer/ \
                                          --model_filename inference.pdmodel          \
                                          --params_filename inference.pdiparams       \
-                                         --serving_server ./ppocrv2_det_serving/ \
-                                         --serving_client ./ppocrv2_det_client/
+                                         --serving_server ./ppocr_det_mobile_2.0_serving/ \
+                                         --serving_client ./ppocr_det_mobile_2.0_client/
 
 #  Recognition model conversion
 python3 -m paddle_serving_client.convert --dirname ./ch_PP-OCRv2_rec_infer/ \
                                          --model_filename inference.pdmodel          \
                                          --params_filename inference.pdiparams       \
-                                         --serving_server ./ppocrv2_rec_serving/  \
-                                         --serving_client ./ppocrv2_rec_client/
+                                         --serving_server ./ppocr_rec_mobile_2.0_serving/  \
+                                         --serving_client ./ppocr_rec_mobile_2.0_client/
 
 ```
 
 After the detection model is converted, there will be additional folders of `ppocr_det_mobile_2.0_serving` and `ppocr_det_mobile_2.0_client` in the current folder, with the following format:
 ```
-|- ppocrv2_det_serving/
+|- ppocr_det_mobile_2.0_serving/
   |- __model__  
   |- __params__
   |- serving_server_conf.prototxt  
   |- serving_server_conf.stream.prototxt
 
-|- ppocrv2_det_client
+|- ppocr_det_mobile_2.0_client
   |- serving_client_conf.prototxt  
   |- serving_client_conf.stream.prototxt
 

deploy/pdserving/README_CN.md

@@ -75,26 +75,26 @@ wget https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar
 python3 -m paddle_serving_client.convert --dirname ./ch_PP-OCRv2_det_infer/ \
                                          --model_filename inference.pdmodel          \
                                          --params_filename inference.pdiparams       \
-                                         --serving_server ./ppocrv2_det_serving/ \
-                                         --serving_client ./ppocrv2_det_client/
+                                         --serving_server ./ppocr_det_mobile_2.0_serving/ \
+                                         --serving_client ./ppocr_det_mobile_2.0_client/
 
 # 转换识别模型
 python3 -m paddle_serving_client.convert --dirname ./ch_PP-OCRv2_rec_infer/ \
                                          --model_filename inference.pdmodel          \
                                          --params_filename inference.pdiparams       \
-                                         --serving_server ./ppocrv2_rec_serving/  \
-                                         --serving_client ./ppocrv2_rec_client/
+                                         --serving_server ./ppocr_rec_mobile_2.0_serving/  \
+                                         --serving_client ./ppocr_rec_mobile_2.0_client/
 ```
 
-检测模型转换完成后，会在当前文件夹多出`ppocrv2_det_serving` 和`ppocrv2_det_client`的文件夹，具备如下格式：
+检测模型转换完成后，会在当前文件夹多出`ppocr_det_mobile_2.0_serving` 和`ppocr_det_mobile_2.0_client`的文件夹，具备如下格式：
 ```
-|- ppocrv2_det_serving/
+|- ppocr_det_mobile_2.0_serving/
   |- __model__  
   |- __params__
   |- serving_server_conf.prototxt  
   |- serving_server_conf.stream.prototxt
 
-|- ppocrv2_det_client
+|- ppocr_det_mobile_2.0_client
   |- serving_client_conf.prototxt  
   |- serving_client_conf.stream.prototxt
 

deploy/pdserving/config.yml

@@ -34,7 +34,7 @@ op:
             client_type: local_predictor
 
             #det模型路径
-            model_config: ./ppocrv2_det_serving
+            model_config: ./ppocr_det_mobile_2.0_serving
 
             #Fetch结果列表，以client_config中fetch_var的alias_name为准
             fetch_list: ["save_infer_model/scale_0.tmp_1"]
@@ -60,7 +60,7 @@ op:
             client_type: local_predictor
 
             #rec模型路径
-            model_config: ./ppocrv2_rec_serving
+            model_config: ./ppocr_rec_mobile_2.0_serving
 
             #Fetch结果列表，以client_config中fetch_var的alias_name为准
             fetch_list: ["save_infer_model/scale_0.tmp_1"]  

deploy/pdserving/web_service_det.py

@@ -23,8 +23,58 @@ from paddle_serving_app.reader import Sequential, ResizeByFactor
 from paddle_serving_app.reader import Div, Normalize, Transpose
 from paddle_serving_app.reader import DBPostProcess, FilterBoxes, GetRotateCropImage, SortedBoxes
 
+import yaml
+from argparse import ArgumentParser,RawDescriptionHelpFormatter
+
 _LOGGER = logging.getLogger()
 
+class ArgsParser(ArgumentParser):
+    def __init__(self):
+        super(ArgsParser, self).__init__(
+            formatter_class=RawDescriptionHelpFormatter)
+        self.add_argument("-c", "--config", help="configuration file to use")
+        self.add_argument(
+            "-o", "--opt", nargs='+', help="set configuration options")
+
+    def parse_args(self, argv=None):
+        args = super(ArgsParser, self).parse_args(argv)
+        assert args.config is not None, \
+            "Please specify --config=configure_file_path."
+        args.conf_dict = self._parse_opt(args.opt, args.config)
+        return args
+
+    def _parse_helper(self, v):
+        if v.isnumeric():
+            if "." in v:
+                v = float(v)
+            else:
+                v = int(v)
+        elif v == "True" or v == "False":
+            v = (v == "True")
+        return v
+
+    def _parse_opt(self, opts, conf_path):
+        f = open(conf_path)
+        config = yaml.load(f, Loader=yaml.Loader)
+        if not opts:
+            return config
+        for s in opts:
+            s = s.strip()
+            k, v = s.split('=')
+            v = self._parse_helper(v)
+            print(k,v, type(v))
+            cur = config
+            parent = cur
+            for kk in k.split("."):
+                if kk not in cur:
+                     cur[kk] = {}
+                     parent = cur
+                     cur = cur[kk]
+                else:
+                     parent = cur
+                     cur = cur[kk]
+            parent[k.split(".")[-1]] = v
+        return config
 
 class DetOp(Op):
     def init_op(self):
@@ -73,5 +123,6 @@ class OcrService(WebService):
 
 
 uci_service = OcrService(name="ocr")
-uci_service.prepare_pipeline_config("config.yml")
+FLAGS = ArgsParser().parse_args()
+uci_service.prepare_pipeline_config(yml_dict=FLAGS.conf_dict)
 uci_service.run_service()

deploy/pdserving/web_service_rec.py

@@ -21,6 +21,7 @@ import base64
 from ocr_reader import OCRReader, DetResizeForTest
 from paddle_serving_app.reader import Sequential, ResizeByFactor
 from paddle_serving_app.reader import Div, Normalize, Transpose
+from web_service_det import ArgsParser
 
 _LOGGER = logging.getLogger()
 
@@ -82,5 +83,6 @@ class OcrService(WebService):
 
 
 uci_service = OcrService(name="ocr")
-uci_service.prepare_pipeline_config("config.yml")
+FLAGS = ArgsParser().parse_args()
+uci_service.prepare_pipeline_config(yml_dict=FLAGS.conf_dict)
 uci_service.run_service()

test_tipc/docs/test_serving.md

@@ -20,10 +20,10 @@ PaddleServing预测功能测试的主程序为`test_serving.sh`，可以测试
 先运行`prepare.sh`准备数据和模型，然后运行`test_serving.sh`进行测试，最终在```test_tipc/output```目录下生成`serving_infer_*.log`后缀的日志文件。
 
 ```shell
-bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt "serving_infer"
+bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt "serving_infer"
 
 # 用法:
-bash test_tipc/test_serving.sh ./test_tipc/configs/ppocr_det_mobile/model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
+bash test_tipc/test_serving.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
 ```  
 
 #### 运行结果