[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>
2025-10-14 12:55:06 +08:00 · 2023-01-03 10:47:08 +08:00
parent f72846c717
commit 87bcb5df21
23 changed files with 966 additions and 1 deletions
--- a/fastdeploy/vision/generation/contrib/preprocessor.cc
+++ b/fastdeploy/vision/generation/contrib/preprocessor.cc
@@ -0,0 +1,63 @@
+// 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/generation/contrib/preprocessor.h"
+
+namespace fastdeploy {
+namespace vision {
+namespace generation {
+
+bool AnimeGANPreprocessor::Run(std::vector<Mat>& images, std::vector<FDTensor>* outputs) {
+  // 1. BGR2RGB
+  // 2. Convert(opencv style) or Normalize
+  for (size_t i = 0; i < images.size(); ++i) {
+      auto ret = BGR2RGB::Run(&images[i]);
+      if (!ret) {
+        FDERROR << "Failed to processs image:" << i << " in "
+                << "BGR2RGB" << "." << std::endl;
+        return false;
+      }
+      ret = Cast::Run(&images[i], "float");
+      if (!ret) {
+        FDERROR << "Failed to processs image:" << i << " in "
+                << "Cast" << "." << std::endl;
+        return false;
+      }
+      std::vector<float> mean{1.f / 127.5f, 1.f / 127.5f, 1.f / 127.5f};
+      std::vector<float> std {-1.f, -1.f, -1.f};
+      ret = Convert::Run(&images[i], mean, std);
+      if (!ret) {
+        FDERROR << "Failed to processs image:" << i << " in "
+                << "Cast" << "." << std::endl;
+        return false;
+      }
+    }
+  outputs->resize(1);
+  // Concat all the preprocessed data to a batch tensor
+  std::vector<FDTensor> tensors(images.size()); 
+  for (size_t i = 0; i < images.size(); ++i) {
+    images[i].ShareWithTensor(&(tensors[i]));
+    tensors[i].ExpandDim(0);
+  }
+  if (tensors.size() == 1) {
+    (*outputs)[0] = std::move(tensors[0]);
+  } else {
+    function::Concat(tensors, &((*outputs)[0]), 0);
+  }
+  return true;
+}
+
+}  // namespace generation
+}  // namespace vision
+}  // namespace fastdeploy