Merge pull request #1 from NVIDIA/jdsouza-dev

Update to latest version

README.md

@@ -0,0 +1,62 @@
+# README
+## NVIDIA VideoEffects SDK: API Source Code and Sample Applications
+
+NVIDIA VideoEffects SDK is an SDK for enhancing and applying filters to videos at real-time. The SDK is powered by NVIDIA graphics processing units (GPUs) with Tensor Cores, and as a result, the algorithm throughput is greatly accelerated, and latency is reduced.
+
+NVIDIA VideoEffects SDK has the following AI features:
+
+- **Encoder Artifact Reduction**, which reduces the blocky and noisy artifacts from an encoded video while preserving the details of the original video.
+- **Super Resolution**, which upscales a video while also reducing the blocky and noisy artifacts. It can enhance the details and sharpen the output while simultaneously preserving the content. This is suitable for upscaling lossy content.
+- **Upscale**, which is a very fast and light-weight method for upscaling an input video. It also provides a sharpening parameter to sharpen the resulting output. This feature can be optionally pipelined with the encoder artifact reduction feature to enhance the scale while reducing the video artifacts.
+
+NVIDIA VideoEffects SDK provides two sample applications that demonstrate the features listed above in real time by using offline videos.
+- **VideoEffects App**, which is a sample app that can invoke each feature individually.
+- **UpscalePipeline App**, which is a sample app that pipelines the Encoder Artifact Reduction feature with the Upscale feature.
+ 
+All features in the VideoEffects SDK support 720p and 1080p as input resolutions. These are the scaling factors supported by the Super Resolution feature:
+- **720p inputs** can be scaled by a factor of 1.5x or 2x.
+- **1080p inputs** can be scaled by a factor of 1.33x or 2x.
+
+Additionally, the Upscale feature supports any input resolution, and the following scaling factors:
+- 1.33x, 1.5x, 2x or 3x  
+
+NVIDIA VideoEffects SDK is distributed in the following parts:
+
+- This open source repository that includes the [SDK API and proxy linking source code](https://github.com/NVIDIA/BROADCAST-VFX-SDK/tree/master/nvvfx), and [sample applications and their dependency libraries](https://github.com/NVIDIA/BROADCAST-VFX-SDK/tree/master/samples).
+- An installer hosted on [RTX broadcast engine developer page](https://developer.nvidia.com/rtx-broadcast-engine) that installs the SDK DLLs, the models, and the SDK dependency libraries.
+
+Please refer to [SDK programming guide](https://github.com/NVIDIA/BROADCAST-VFX-SDK/blob/master/docs/NVIDIA%20Video%20Effects%20SDK%20Programming%20Guide.pdf) for configuring and integrating the SDK, compiling and running the sample applications.
+
+## System requirements
+The SDK is supported on NVIDIA GPUs that are based on the NVIDIA<49> Turing<6E> architecture. Although the SDK can run on Turing<6E> GPUs without Tensor Cores, it is optimized for much higher performance on GPUs with Tensor Cores.
+
+* Windows OS supported: 64-bit Windows 10
+* Microsoft Visual Studio: 2017 (MSVC15.0) or later
+* CMake: v3.12 or later
+* NVIDIA Graphics Driver for Windows: 455.57 or later
+
+## NVIDIA Branding Guidelines
+If you integrate an NVIDIA Broadcast Engine SDK within your product, please follow the required branding guidelines that are available [here](
+https://nvidia.frontify.com/d/uAobRitG8H8B)
+
+## Compiling the sample apps
+
+### Steps
+
+The open source repository includes the source code to build the sample applications, and a proxy file NVVideoEffectsProxy.cpp to enable compilation without explicitly linking against the SDK DLL.
+
+**Note: To download the models and runtime dependencies required by the features, you need to run the [SDK Installer](https://developer.nvidia.com/rtx-broadcast-engine).**
+
+1.	In the root folder of the downloaded source code, start the CMake GUI and specify the source folder and a build folder for the binary files.
+*	For the source folder, ensure that the path ends in OSS.
+*	For the build folder, ensure that the path ends in OSS/build.
+2.  Use CMake to configure and generate the Visual Studio solution file.
+*	Click Configure.
+*	When prompted to confirm that CMake can create the build folder, click OK.
+*	Select Visual Studio for the generator and x64 for the platform.
+*	To complete configuring the Visual Studio solution file, click Finish.
+*	To generate the Visual Studio Solution file, click Generate.
+*	Verify that the build folder contains the NvVideoEffects_SDK.sln file.
+3.  Use Visual Studio to generate the application binary .exe file from the NvVideoEffects_SDK.sln file.
+*	In CMake, to open Visual Studio, click Open Project.
+*	In Visual Studio, select Build > Build Solution.

samples/UpscalePipelineApp/UpscalePipeline.cpp

@@ -59,7 +59,7 @@ bool        FLAG_debug               = false,
             FLAG_progress            = false;
 int         FLAG_resolution          = 0,
             FLAG_arStrength          = 0;
-float       FLAG_upscaleStrength     = 0.f;
+float       FLAG_upscaleStrength     = 0.2f;
 std::string FLAG_codec               = "H264",
             FLAG_inFile,
             FLAG_outFile,

samples/UpscalePipelineApp/run.bat

@@ -1,6 +1,6 @@
 SETLOCAL
 SET PATH=%PATH%;..\external\opencv\bin;
 REM Use --show to show the output in a window or use --out_file=<filename> to write output to file
-UpscalePipelineApp.exe --in_file=..\input\input2.png --ar_strength=0 --upscale_strength=0 --resolution=1080 --show --out_file=ar_sr_0.png
-UpscalePipelineApp.exe --in_file=..\input\input2.png --ar_strength=0 --upscale_strength=1 --resolution=1080 --show --out_file=ar_sr_1.png
+UpscalePipelineApp.exe --in_file=..\input\input1.jpg --ar_strength=0 --upscale_strength=0 --resolution=1080 --show --out_file=ar_sr_0.png
+UpscalePipelineApp.exe --in_file=..\input\input1.jpg --ar_strength=0 --upscale_strength=1 --resolution=1080 --show --out_file=ar_sr_1.png
 

samples/VideoEffectsApp/VideoEffectsApp.cpp

@@ -488,7 +488,7 @@ FXApp::Err FXApp::processImage(const char *inFile, const char *outFile) {
   BAIL_IF_ERR(vfxErr = NvVFX_SetCudaStream(_eff, NVVFX_CUDA_STREAM, stream));
   if (!strcmp(_effectName, NVVFX_FX_ARTIFACT_REDUCTION)) {
     BAIL_IF_ERR(vfxErr = NvVFX_SetU32(_eff, NVVFX_STRENGTH, (unsigned int)FLAG_strength));
-  } else if (!strcasecmp(_effectName, NVVFX_FX_SUPER_RES)) {
+  } else if (!strcmp(_effectName, NVVFX_FX_SUPER_RES)) {
     BAIL_IF_ERR(vfxErr = NvVFX_SetU32(_eff, NVVFX_STRENGTH, (unsigned int)FLAG_strength));
   }
 
@@ -548,7 +548,7 @@ FXApp::Err FXApp::processMovie(const char *inFile, const char *outFile) {
   BAIL_IF_ERR(vfxErr = NvVFX_SetCudaStream(_eff, NVVFX_CUDA_STREAM, stream));
   if (!strcmp(_effectName, NVVFX_FX_ARTIFACT_REDUCTION)) {
     BAIL_IF_ERR(vfxErr = NvVFX_SetU32(_eff, NVVFX_STRENGTH, (unsigned int)FLAG_strength));
-  } else if (!strcasecmp(_effectName, NVVFX_FX_SUPER_RES)) {
+  } else if (!strcmp(_effectName, NVVFX_FX_SUPER_RES)) {
     BAIL_IF_ERR(vfxErr = NvVFX_SetU32(_eff, NVVFX_STRENGTH, (unsigned int)FLAG_strength));
   }
   BAIL_IF_ERR(vfxErr = NvVFX_Load(_eff));

samples/VideoEffectsApp/run.bat

@@ -3,5 +3,5 @@ SET PATH=%PATH%;..\external\opencv\bin;
 REM Use --show to show the output in a window or use --out_file=<filename> to write output to file
 VideoEffectsApp.exe --in_file=..\input\input1.jpg --out_file=ar_1.png --effect=ArtifactReduction --strength=1 --show
 VideoEffectsApp.exe --in_file=..\input\input1.jpg --out_file=ar_0.png --effect=ArtifactReduction --strength=0 --show
-VideoEffectsApp.exe --in_file=..\input\input2.png --out_file=sr_0.png --effect=SuperRes --resolution=1080 --strength=0 --show
-VideoEffectsApp.exe --in_file=..\input\input2.png --out_file=sr_1.png --effect=SuperRes --resolution=1080 --strength=1 --show
+VideoEffectsApp.exe --in_file=..\input\input2.jpg --out_file=sr_0.png --effect=SuperRes --resolution=2160 --strength=0 --show
+VideoEffectsApp.exe --in_file=..\input\input2.jpg --out_file=sr_1.png --effect=SuperRes --resolution=2160 --strength=1 --show