Add support for loading ONNX model from in-memory buffer.

modules/dnn/include/opencv2/dnn/dnn.hpp

@@ -868,6 +868,23 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
      */
     CV_EXPORTS_W Net readNetFromONNX(const String &onnxFile);
 
+    /** @brief Reads a network model from <a href="https://onnx.ai/">ONNX</a>
+     *         in-memory buffer.
+     *  @param buffer memory address of the first byte of the buffer.
+     *  @param sizeBuffer size of the buffer.
+     *  @returns Network object that ready to do forward, throw an exception
+     *        in failure cases.
+     */
+    CV_EXPORTS Net readNetFromONNX(const char* buffer, size_t sizeBuffer);
+
+    /** @brief Reads a network model from <a href="https://onnx.ai/">ONNX</a>
+     *         in-memory buffer.
+     *  @param buffer in-memory buffer that stores the ONNX model bytes.
+     *  @returns Network object that ready to do forward, throw an exception
+     *        in failure cases.
+     */
+    CV_EXPORTS_W Net readNetFromONNX(const std::vector<uchar>& buffer);
+
     /** @brief Creates blob from .pb file.
      *  @param path to the .pb file with input tensor.
      *  @returns Mat.

modules/dnn/src/onnx/onnx_importer.cpp

@@ -57,6 +57,24 @@ public:
             CV_Error(Error::StsUnsupportedFormat, "Failed to parse onnx model");
     }
 
+    ONNXImporter(const char* buffer, size_t sizeBuffer)
+    {
+        struct _Buf : public std::streambuf
+        {
+            _Buf(const char* buffer, size_t sizeBuffer)
+            {
+                char* p = const_cast<char*>(buffer);
+                setg(p, p, p + sizeBuffer);
+            }
+        };
+
+        _Buf buf(buffer, sizeBuffer);
+        std::istream input(&buf);
+
+        if (!model_proto.ParseFromIstream(&input))
+            CV_Error(Error::StsUnsupportedFormat, "Failed to parse onnx model from in-memory byte array.");
+    }
+
     void populateNet(Net dstNet);
 };
 
@@ -808,6 +826,19 @@ Net readNetFromONNX(const String& onnxFile)
     return net;
 }
 
+Net readNetFromONNX(const char* buffer, size_t sizeBuffer)
+{
+    ONNXImporter onnxImporter(buffer, sizeBuffer);
+    Net net;
+    onnxImporter.populateNet(net);
+    return net;
+}
+
+Net readNetFromONNX(const std::vector<uchar>& buffer)
+{
+    return readNetFromONNX(reinterpret_cast<const char*>(buffer.data()), buffer.size());
+}
+
 Mat readTensorFromONNX(const String& path)
 {
     opencv_onnx::TensorProto tensor_proto = opencv_onnx::TensorProto();