[Backend] add sophgo backend (#1015)

* Add Sophgo Device

add sophgo backend in fastdeploy

add resnet50, yolov5s, liteseg examples.

* replace sophgo lib with download links; fix model.cc bug

* modify CodeStyle

* remove unuseful files;change the names of sophgo device and sophgo
backend

* sophgo support python and add python examples

* remove unuseful rows in cmake according pr

Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>

examples/vision/segmentation/paddleseg/sophgo/cpp/infer.cc

@@ -0,0 +1,71 @@
+// 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.
+#include <iostream>
+#include <string>
+#include "fastdeploy/vision.h"
+
+void SophgoInfer(const std::string& model_dir, const std::string& image_file) {
+  std::string model_file = model_dir + "/pp_liteseg_1684x_f32.bmodel";
+  std::string params_file;
+  std::string config_file = model_dir + "/deploy.yaml";
+  auto option = fastdeploy::RuntimeOption();
+  option.UseSophgo();
+  auto model_format = fastdeploy::ModelFormat::SOPHGO;
+
+  auto model = fastdeploy::vision::segmentation::PaddleSegModel(
+      model_file, params_file, config_file, option, model_format);
+  if (!model.Initialized()) {
+    std::cerr << "Failed to initialize." << std::endl;
+    return;
+  }
+  //model.GetPreprocessor().DisableNormalizeAndPermute();
+
+  fastdeploy::TimeCounter tc;
+  tc.Start();
+  auto im_org = cv::imread(image_file);
+
+  //the input of bmodel should be fixed
+  int new_width = 512;
+  int new_height = 512;
+  cv::Mat im;
+  cv::resize(im_org, im, cv::Size(new_width, new_height), cv::INTER_LINEAR);
+
+  fastdeploy::vision::SegmentationResult res;
+  if (!model.Predict(&im, &res)) {
+    std::cerr << "Failed to predict." << std::endl;
+    return;
+  }
+  auto vis_im = fastdeploy::vision::VisSegmentation(im, res);
+  tc.End();
+  tc.PrintInfo("PPSeg in Sophgo");
+
+  cv::imwrite("infer_sophgo.jpg", vis_im);
+  std::cout
+      << "Visualized result saved in ./infer_sophgo.jpg"
+      << std::endl;
+}
+
+int main(int argc, char* argv[]) {
+  if (argc < 3) {
+    std::cout
+        << "Usage: infer_demo path/to/model_dir path/to/image run_option, "
+           "e.g ./infer_model ./bmodel ./test.jpeg"
+        << std::endl;
+    return -1;
+  }
+
+  SophgoInfer(argv[1], argv[2]);
+  return 0;
+}
+