[docs] update win build docs with cmake-gui+vs2019 (#280)

* Delete redundant Chinese comments

* [docs] update win build docs with cmake-gui+vs2019

* [docs] update win build docs with cmake-gui+vs2019

* [examples] replace some cn comments with en

* [cmake] update FastDeploy.cmake.in

* [docs] update windows c++ sdk usage docs

* [cmake] update FastDeploy.cmake.in

* [docs] update windows sdk usage docs

Co-authored-by: Jason <jiangjiajun@baidu.com>

examples/text/uie/cpp/infer.cc

@@ -1,4 +1,4 @@
-// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+// 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.

examples/vision/faceid/insightface/cpp/infer_arcface.cc

@@ -37,12 +37,10 @@ void CpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -76,12 +74,10 @@ void GpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -117,12 +113,10 @@ void TrtInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(

examples/vision/faceid/insightface/cpp/infer_cosface.cc

@@ -37,12 +37,10 @@ void CpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -76,12 +74,10 @@ void GpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -117,12 +113,10 @@ void TrtInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(

examples/vision/faceid/insightface/cpp/infer_partial_fc.cc

@@ -37,12 +37,10 @@ void CpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -76,12 +74,10 @@ void GpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -117,12 +113,10 @@ void TrtInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(

examples/vision/faceid/insightface/cpp/infer_vpl.cc

@@ -37,12 +37,10 @@ void CpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -76,12 +74,10 @@ void GpuInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(
@@ -117,12 +113,10 @@ void TrtInfer(const std::string& model_file,
 
   std::cout << "Prediction Done!" << std::endl;
 
-  // 输出预测框结果
   std::cout << "--- [Face 0]:" << res0.Str();
   std::cout << "--- [Face 1]:" << res1.Str();
   std::cout << "--- [Face 2]:" << res2.Str();
 
-  // 计算余弦相似度
   float cosine01 = fastdeploy::vision::utils::CosineSimilarity(
       res0.embedding, res1.embedding, model.l2_normalize);
   float cosine02 = fastdeploy::vision::utils::CosineSimilarity(

examples/vision/matting/modnet/cpp/infer.cc

@@ -21,7 +21,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file,
     std::cerr << "Failed to initialize." << std::endl;
     return;
   }
-  // 设置推理size, 必须和模型文件一致
   model.size = {256, 256};
   auto im = cv::imread(image_file);
   auto im_bak = im.clone();
@@ -52,7 +51,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file,
     std::cerr << "Failed to initialize." << std::endl;
     return;
   }
-  // 设置推理size, 必须和模型文件一致
   model.size = {256, 256};
 
   auto im = cv::imread(image_file);
@@ -86,7 +84,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file,
     std::cerr << "Failed to initialize." << std::endl;
     return;
   }
-  // 设置推理size, 必须和模型文件一致
   model.size = {256, 256};
   auto im = cv::imread(image_file);
   auto im_bak = im.clone();

examples/vision/ocr/PPOCRSystemv2/cpp/infer.cc

@@ -36,8 +36,8 @@ void InitAndInfer(const std::string& det_model_dir, const std::string& cls_model
   assert(det_model.Initialized());
   assert(cls_model.Initialized());
   assert(rec_model.Initialized());
-
-  // 其中分类模型可选，因此也可使用如下方式串联OCR系统
+  
+  // The classification model is optional, so the OCR system can also be connected in series as follows
   // auto ocr_system_v2 = fastdeploy::application::ocrsystem::PPOCRSystemv2(&det_model, &rec_model);
   auto ocr_system_v2 = fastdeploy::application::ocrsystem::PPOCRSystemv2(&det_model, &cls_model, &rec_model);
 

examples/vision/ocr/PPOCRSystemv3/cpp/infer.cc

@@ -37,7 +37,7 @@ void InitAndInfer(const std::string& det_model_dir, const std::string& cls_model
   assert(cls_model.Initialized());
   assert(rec_model.Initialized());
 
-  // 其中分类模型可选，因此也可使用如下方式串联OCR系统
+  // The classification model is optional, so the OCR system can also be connected in series as follows
   // auto ocr_system_v3 = fastdeploy::application::ocrsystem::PPOCRSystemv3(&det_model, &rec_model);
   auto ocr_system_v3 = fastdeploy::application::ocrsystem::PPOCRSystemv3(&det_model, &cls_model, &rec_model);