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detectnet-console.cpp
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detectnet-console.cpp
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/*
* Copyright (c) 2017, 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.
*/
#include "detectNet.h"
#include "loadImage.h"
#include "commandLine.h"
#include "cudaMappedMemory.h"
int usage()
{
printf("usage: detectnet-console [-h] [--network NETWORK] [--threshold THRESHOLD]\n");
printf(" file_in [file_out]\n\n");
printf("Locate objects in an image using an object detection DNN.\n\n");
printf("positional arguments:\n");
printf(" file_in filename of the input image to process\n");
printf(" file_out filename of the output image to save (optional)\n\n");
printf("optional arguments:\n");
printf(" --help show this help message and exit\n\n");
printf("%s\n", detectNet::Usage());
return 0;
}
int main( int argc, char** argv )
{
/*
* parse command line
*/
commandLine cmdLine(argc, argv);
if( cmdLine.GetFlag("help") )
return usage();
/*
* parse input filename
*/
const char* imgFilename = cmdLine.GetPosition(0);
if( !imgFilename )
{
printf("detectnet-console: input image filename required\n\n");
return usage();
}
/*
* create detection network
*/
detectNet* net = detectNet::Create(argc, argv);
if( !net )
{
printf("detectnet-console: failed to initialize detectNet\n");
return 0;
}
//net->EnableLayerProfiler();
/*
* load image from disk
*/
float* imgCPU = NULL;
float* imgCUDA = NULL;
int imgWidth = 0;
int imgHeight = 0;
if( !loadImageRGBA(imgFilename, (float4**)&imgCPU, (float4**)&imgCUDA, &imgWidth, &imgHeight) )
{
printf("failed to load image '%s'\n", imgFilename);
return 0;
}
/*
* detect objects in image
*/
detectNet::Detection* detections = NULL;
const int numDetections = net->Detect(imgCUDA, imgWidth, imgHeight, &detections);
// print out the detection results
printf("%i objects detected\n", numDetections);
for( int n=0; n < numDetections; n++ )
{
printf("detected obj %u class #%u (%s) confidence=%f\n", detections[n].Instance, detections[n].ClassID, net->GetClassDesc(detections[n].ClassID), detections[n].Confidence);
printf("bounding box %u (%f, %f) (%f, %f) w=%f h=%f\n", detections[n].Instance, detections[n].Left, detections[n].Top, detections[n].Right, detections[n].Bottom, detections[n].Width(), detections[n].Height());
}
// wait for the GPU to finish
CUDA(cudaDeviceSynchronize());
// print out timing info
net->PrintProfilerTimes();
// save image to disk
const char* outputFilename = cmdLine.GetPosition(1);
if( outputFilename != NULL )
{
printf("detectnet-console: writing %ix%i image to '%s'\n", imgWidth, imgHeight, outputFilename);
if( !saveImageRGBA(outputFilename, (float4*)imgCPU, imgWidth, imgHeight, 255.0f) )
printf("detectnet-console: failed saving %ix%i image to '%s'\n", imgWidth, imgHeight, outputFilename);
else
printf("detectnet-console: successfully wrote %ix%i image to '%s'\n", imgWidth, imgHeight, outputFilename);
}
/*
* destroy resources
*/
printf("detectnet-console: shutting down...\n");
CUDA(cudaFreeHost(imgCPU));
SAFE_DELETE(net);
printf("detectnet-console: shutdown complete\n");
return 0;
}