[Model] add style transfer model (#922)

* add style transfer model * add examples for generation model * add unit test * add speed comparison * add speed comparison * add variable for constant * add preprocessor and postprocessor * add preprocessor and postprocessor * fix * fix according to review Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2025-10-26 18:10:32 +08:00 · 2023-01-03 10:47:08 +08:00
parent f72846c717
commit 87bcb5df21
23 changed files with 966 additions and 1 deletions
--- a/examples/vision/generation/anemigan/cpp/infer.cc
+++ b/examples/vision/generation/anemigan/cpp/infer.cc
@@ -0,0 +1,69 @@
+// 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 "fastdeploy/vision.h"
+#include "gflags/gflags.h"
+
+DEFINE_string(model, "", "Directory of the inference model.");
+DEFINE_string(image, "", "Path of the image file.");
+DEFINE_string(device, "cpu",
+              "Type of inference device, support 'cpu' or 'gpu'.");
+
+void PrintUsage() {
+  std::cout << "Usage: infer_demo --model model_path --image img_path --device [cpu|gpu]"
+            << std::endl;
+  std::cout << "Default value of device: cpu" << std::endl;
+}
+
+bool CreateRuntimeOption(fastdeploy::RuntimeOption* option) {
+  if (FLAGS_device == "gpu") {
+    option->UseGpu();
+    } 
+  else if (FLAGS_device == "cpu") {
+    option->SetPaddleMKLDNN(false);
+    return true;
+  } else {
+    std::cerr << "Only support device CPU/GPU now, "  << FLAGS_device << " is not supported." << std::endl;
+    return false;
+  }
+
+  return true;
+}
+
+int main(int argc, char* argv[]) {
+  google::ParseCommandLineFlags(&argc, &argv, true);
+  auto option = fastdeploy::RuntimeOption();
+  if (!CreateRuntimeOption(&option)) {
+    PrintUsage();
+    return -1;
+  }
+
+  auto model = fastdeploy::vision::generation::AnimeGAN(FLAGS_model+"/model.pdmodel", FLAGS_model+"/model.pdiparams", option);
+  if (!model.Initialized()) {
+    std::cerr << "Failed to initialize." << std::endl;
+    return -1;
+  }
+
+  auto im = cv::imread(FLAGS_image);
+  cv::Mat res;
+  if (!model.Predict(im, &res)) {
+    std::cerr << "Failed to predict." << std::endl;
+    return -1;
+  }
+
+  cv::imwrite("style_transfer_result.png", res);
+  std::cout << "Visualized result saved in ./style_transfer_result.png" << std::endl;
+  
+  return 0;
+}