[Hackthon_4th 242] Support en_ppstructure_mobile_v2.0_SLANet (#1816)

* first draft

* update api name

* fix bug

* fix bug and

* fix bug in c api

* fix bug in c_api

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>

examples/vision/ocr/PP-OCR/cpu-gpu/python/infer_structurev2_table.py

@@ -0,0 +1,77 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--table_model",
+        required=True,
+        help="Path of Table recognition model of PPOCR.")
+    parser.add_argument(
+        "--table_char_dict_path",
+        type=str,
+        required=True,
+        help="tabel recognition dict path.")
+    parser.add_argument(
+        "--image", type=str, required=True, help="Path of test image file.")
+    parser.add_argument(
+        "--device",
+        type=str,
+        default='cpu',
+        help="Type of inference device, support 'cpu' or 'gpu'.")
+    parser.add_argument(
+        "--device_id",
+        type=int,
+        default=0,
+        help="Define which GPU card used to run model.")
+
+    return parser.parse_args()
+
+
+def build_option(args):
+
+    table_option = fd.RuntimeOption()
+
+    if args.device.lower() == "gpu":
+        table_option.use_gpu(args.device_id)
+
+    return table_option
+
+
+args = parse_arguments()
+
+table_model_file = os.path.join(args.table_model, "inference.pdmodel")
+table_params_file = os.path.join(args.table_model, "inference.pdiparams")
+
+# Set the runtime option
+table_option = build_option(args)
+
+# Create the table_model
+table_model = fd.vision.ocr.StructureV2Table(
+    table_model_file, table_params_file, args.table_char_dict_path,
+    table_option)
+
+# Read the image
+im = cv2.imread(args.image)
+
+# Predict and return the results
+result = table_model.predict(im)
+
+print(result)