Add YOLO-NAS and ONNX support

nvdsinfer_custom_impl_Yolo/nvdsinitinputlayers_Yolo.cpp

@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) 2018-2019, 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"
+
+bool
+NvDsInferInitializeInputLayers(std::vector<NvDsInferLayerInfo> const &inputLayersInfo,
+    NvDsInferNetworkInfo const &networkInfo, unsigned int maxBatchSize)
+{
+  float *scaleFactor = (float *) inputLayersInfo[0].buffer;
+  for (unsigned int i = 0; i < maxBatchSize; i++) {
+    scaleFactor[i * 2 + 0] = 1.0;
+    scaleFactor[i * 2 + 1] = 1.0;
+  }
+  return true;
+}