Update README.md

Author: lcskrishna

README.md

@@ -1,3 +1,41 @@
 # onnx-parser
 
-onnx-parser is a C++ Inference generator tool that takes an onnx model and generates GDF code (OpenVX prototyping code).
+ONNX-Parser is a C++ Inference Code Generator tool that takes an onnx binary model and generates OpenVX [GDF](https://github.com/GPUOpen-ProfessionalCompute-Libraries/amdovx-core/tree/master/runvx) code for quick prototyping and kernel debugging.
+
+The details of various OpenVX Kernels generated are from [vx_nn](https://github.com/GPUOpen-ProfessionalCompute-Libraries/amdovx-modules/tree/master/vx_nn)
+
+Note: Currently only the float-32 tensor datatypes are supported. Special layers such as ROI Pooling Layer, Deconvolution are not yet supported.
+
+## Supported Models
+
+Network Name | Supported
+-------------| -----------
+AlexNet      | Yes
+VGG-16       | Yes
+VGG-19       | 
+ResNet-50    |    
+
+## Command-line interface
+
+```
+ % onnx_gdf_generator <net.pb> <n> <c> <H> <W>
+```
+Here net.pb is the onnx binary models which is a mandatory file.
+n,c,H,W refers to batch size, number of channels, height and width of an image which are optional parameters.
+
+ONNX Binary models can be found here : [models](https://github.com/onnx/models)
+
+## Pre-requisites
+1. Ubuntu 16.04
+2. CMAKE 2.8 or newer [download](https://cmake.org/download/)
+3. Install the [protobuf](https://github.com/google/protobuf) from C++ install instructions.
+
+## Build Instructions
+
+1. After cloning the repository, create a build folder where the executables has to be present.
+2. cmake -DCMAKE_BUILD_TYPE=Release ../onnx-parser
+3. make 
+
+Now, the executables are built and present in the build folder.
+
+