DeepStream 6.0 update

nvdsinfer_custom_impl_Yolo/nvdsinfer_yolo_engine.cpp

@@ -0,0 +1,120 @@
+/*
+ * Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
+ * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+
+ * Edited by Marcos Luciano
+ * https://www.github.com/marcoslucianops
+ */
+
+#include "nvdsinfer_custom_impl.h"
+#include "nvdsinfer_context.h"
+#include "yoloPlugins.h"
+#include "yolo.h"
+
+#include <algorithm>
+
+#define USE_CUDA_ENGINE_GET_API 1
+
+static bool getYoloNetworkInfo (NetworkInfo &networkInfo, const NvDsInferContextInitParams* initParams)
+{
+    std::string yoloCfg = initParams->customNetworkConfigFilePath;
+    std::string yoloType;
+
+    std::transform (yoloCfg.begin(), yoloCfg.end(), yoloCfg.begin(), [] (uint8_t c) {
+        return std::tolower (c);});
+
+    yoloType = yoloCfg.substr(0, yoloCfg.find(".cfg"));
+
+    networkInfo.networkType     = yoloType;
+    networkInfo.configFilePath  = initParams->customNetworkConfigFilePath;
+    networkInfo.wtsFilePath     = initParams->modelFilePath;
+    networkInfo.int8CalibPath   = initParams->int8CalibrationFilePath;
+    networkInfo.deviceType      = (initParams->useDLA ? "kDLA" : "kGPU");
+    networkInfo.inputBlobName   = "data";
+
+    if(initParams->networkMode == 0) {
+        networkInfo.networkMode = "FP32";
+    }
+    else if(initParams->networkMode == 1) {
+        networkInfo.networkMode = "INT8";
+    }
+    else if(initParams->networkMode == 2) {
+        networkInfo.networkMode = "FP16";
+    }
+
+    if (networkInfo.configFilePath.empty() ||
+        networkInfo.wtsFilePath.empty()) {
+        std::cerr << "YOLO config file or weights file is not specified"
+                  << std::endl;
+        return false;
+    }
+
+    if (!fileExists(networkInfo.configFilePath) ||
+        !fileExists(networkInfo.wtsFilePath)) {
+        std::cerr << "YOLO config file or weights file is not exist"
+                  << std::endl;
+        return false;
+    }
+
+    return true;
+}
+
+#if !USE_CUDA_ENGINE_GET_API
+IModelParser* NvDsInferCreateModelParser(
+    const NvDsInferContextInitParams* initParams) {
+    NetworkInfo networkInfo;
+    if (!getYoloNetworkInfo(networkInfo, initParams)) {
+      return nullptr;
+    }
+
+    return new Yolo(networkInfo);
+}
+#else
+extern "C"
+bool NvDsInferYoloCudaEngineGet(nvinfer1::IBuilder * const builder,
+        nvinfer1::IBuilderConfig * const builderConfig,
+        const NvDsInferContextInitParams * const initParams,
+        nvinfer1::DataType dataType,
+        nvinfer1::ICudaEngine *& cudaEngine);
+
+extern "C"
+bool NvDsInferYoloCudaEngineGet(nvinfer1::IBuilder * const builder,
+        nvinfer1::IBuilderConfig * const builderConfig,
+        const NvDsInferContextInitParams * const initParams,
+        nvinfer1::DataType dataType,
+        nvinfer1::ICudaEngine *& cudaEngine)
+{
+    NetworkInfo networkInfo;
+    if (!getYoloNetworkInfo(networkInfo, initParams)) {
+      return false;
+    }
+
+    Yolo yolo(networkInfo);
+    cudaEngine = yolo.createEngine (builder);
+    if (cudaEngine == nullptr)
+    {
+        std::cerr << "Failed to build CUDA engine on "
+                  << networkInfo.configFilePath << std::endl;
+        return false;
+    }
+
+    return true;
+}
+#endif