[Model] Support PP-StructureV2-Layout model (#1867)

* [Model] init pp-structurev2-layout code

* [Model] init pp-structurev2-layout code

* [Model] init pp-structurev2-layout code

* [Model] add structurev2_layout_preprocessor

* [PP-StructureV2] add postprocessor and layout detector class

* [PP-StructureV2] add postprocessor and layout detector class

* [PP-StructureV2] add postprocessor and layout detector class

* [PP-StructureV2] add postprocessor and layout detector class

* [PP-StructureV2] add postprocessor and layout detector class

* [pybind] add pp-structurev2-layout model pybind

* [pybind] add pp-structurev2-layout model pybind

* [Bug Fix] fixed code style

* [examples] add pp-structurev2-layout c++ examples

* [PP-StructureV2] add python example and docs

* [benchmark] add pp-structurev2-layout benchmark support

examples/vision/ocr/PP-OCR/cpu-gpu/python/README.md

@@ -39,12 +39,18 @@ tar -xvf ch_PP-OCRv3_rec_infer.tar
 # 下载PPStructureV2表格识别模型
 wget https://paddleocr.bj.bcebos.com/ppstructure/models/slanet/ch_ppstructure_mobile_v2.0_SLANet_infer.tar
 tar xf ch_ppstructure_mobile_v2.0_SLANet_infer.tar
+# 下载PP-StructureV2版面分析模型
+wget https://paddleocr.bj.bcebos.com/ppstructure/models/layout/picodet_lcnet_x1_0_fgd_layout_infer.tar
+tar -xvf picodet_lcnet_x1_0_fgd_layout_infer.tar
 
 # 下载预测图片与字典文件
 wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/doc/imgs/12.jpg
 wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppstructure/docs/table/table.jpg
+wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppstructure/docs/table/layout.jpg
 wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/ppocr_keys_v1.txt
 wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/dict/table_structure_dict_ch.txt
+wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/dict/layout_dict/layout_publaynet_dict.txt
+wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/dict/layout_dict/layout_cdla_dict.txt
 
 # 运行部署示例
 # 在CPU上使用Paddle Inference推理
@@ -64,7 +70,7 @@ python infer.py --det_model ch_PP-OCRv3_det_infer --cls_model ch_ppocr_mobile_v2
 # 在GPU上使用Nvidia TensorRT推理
 python infer.py --det_model ch_PP-OCRv3_det_infer --cls_model ch_ppocr_mobile_v2.0_cls_infer --rec_model ch_PP-OCRv3_rec_infer --rec_label_file ppocr_keys_v1.txt --image 12.jpg --device gpu --backend trt
 
-# 同时, FastDeploy提供文字检测,文字分类,文字识别三个模型的单独推理,
+# 同时, FastDeploy提供文字检测,文字分类,文字识别,表格识别,版面分析等模型的单独推理,
 # 有需要的用户, 请准备合适的图片, 同时根据自己的需求, 参考infer.py来配置自定义硬件与推理后端.
 
 # 在CPU上,单独使用文字检测模型部署
@@ -76,8 +82,11 @@ python infer_cls.py --cls_model ch_ppocr_mobile_v2.0_cls_infer --image 12.jpg --
 # 在CPU上,单独使用文字识别模型部署
 python infer_rec.py  --rec_model ch_PP-OCRv3_rec_infer --rec_label_file ppocr_keys_v1.txt --image 12.jpg --device cpu
 
-# 在CPU上,单独使用文字识别模型部署
+# 在CPU上,单独使用表格识别模型部署
 python infer_structurev2_table.py  --table_model ./ch_ppstructure_mobile_v2.0_SLANet_infer --table_char_dict_path ./table_structure_dict_ch.txt --image table.jpg --device cpu
+
+# 在CPU上,单独使用版面分析模型部署
+python infer_structurev2_layout.py  --layout_model ./picodet_lcnet_x1_0_fgd_layout_infer --image layout.jpg --device cpu
 ```
 
 运行完成可视化结果如下图所示

examples/vision/ocr/PP-OCR/cpu-gpu/python/infer_structurev2_layout.py

@@ -0,0 +1,91 @@
+# 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(
+        "--layout_model",
+        required=True,
+        help="Path of Layout detection model of PP-StructureV2.")
+    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):
+
+    layout_option = fd.RuntimeOption()
+
+    if args.device.lower() == "gpu":
+        layout_option.use_gpu(args.device_id)
+
+    return layout_option
+
+
+args = parse_arguments()
+
+layout_model_file = os.path.join(args.layout_model, "model.pdmodel")
+layout_params_file = os.path.join(args.layout_model, "model.pdiparams")
+
+# Set the runtime option
+layout_option = build_option(args)
+
+# Create the table_model
+layout_model = fd.vision.ocr.StructureV2Layout(
+    layout_model_file, layout_params_file, layout_option)
+
+layout_model.postprocessor.num_class = 5
+
+# Read the image
+im = cv2.imread(args.image)
+
+# Predict and return the results
+result = layout_model.predict(im)
+
+print(result)
+
+# Visualize the results
+labels = ["text", "title", "list", "table", "figure"]
+if layout_model.postprocessor.num_class == 10:
+    labels = [
+        "text", "title", "figure", "figure_caption", "table", "table_caption",
+        "header", "footer", "reference", "equation"
+    ]
+
+vis_im = fd.vision.vis_detection(
+    im,
+    result,
+    labels,
+    score_threshold=0.5,
+    font_color=[255, 0, 0],
+    font_thickness=2)
+cv2.imwrite("visualized_result.jpg", vis_im)
+print("Visualized result save in ./visualized_result.jpg")

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

@@ -23,7 +23,7 @@ def parse_arguments():
     parser.add_argument(
         "--table_model",
         required=True,
-        help="Path of Table recognition model of PPOCR.")
+        help="Path of Table recognition model of PP-StructureV2.")
     parser.add_argument(
         "--table_char_dict_path",
         type=str,