| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "CvVideoFrameReader.hpp" |
| #include "CvWindowOutput.hpp" |
| #include "CvVideoFileWriter.hpp" |
| #include "NetworkPipeline.hpp" |
| #include "CmdArgsParser.hpp" |
| |
| #include <fstream> |
| #include <iostream> |
| #include <map> |
| #include <random> |
| |
| /* |
| * Reads the user supplied backend preference, splits it by comma, and returns an ordered vector |
| */ |
| std::vector<armnn::BackendId> GetPreferredBackendList(const std::string& preferredBackends) |
| { |
| std::vector<armnn::BackendId> backends; |
| std::stringstream ss(preferredBackends); |
| |
| while(ss.good()) |
| { |
| std::string backend; |
| std::getline( ss, backend, ',' ); |
| backends.emplace_back(backend); |
| } |
| return backends; |
| } |
| |
| /* |
| * Assigns a color to each label in the label set |
| */ |
| std::vector<std::tuple<std::string, od::BBoxColor>> AssignColourToLabel(const std::string& pathToLabelFile) |
| { |
| std::ifstream in(pathToLabelFile); |
| std::vector<std::tuple<std::string, od::BBoxColor>> labels; |
| |
| std::string str; |
| std::default_random_engine generator; |
| std::uniform_int_distribution<int> distribution(0,255); |
| |
| while (std::getline(in, str)) |
| { |
| if(!str.empty()) |
| { |
| od::BBoxColor c{ |
| .colorCode = std::make_tuple(distribution(generator), |
| distribution(generator), |
| distribution(generator)) |
| }; |
| auto bboxInfo = std::make_tuple (str, c); |
| |
| labels.emplace_back(bboxInfo); |
| } |
| } |
| return labels; |
| } |
| |
| std::tuple<std::unique_ptr<od::IFrameReader<cv::Mat>>, |
| std::unique_ptr<od::IFrameOutput<cv::Mat>>> |
| GetFrameSourceAndSink(const std::map<std::string, std::string>& options) { |
| |
| std::unique_ptr<od::IFrameReader<cv::Mat>> readerPtr; |
| |
| std::unique_ptr<od::CvVideoFrameReader> reader = std::make_unique<od::CvVideoFrameReader>(); |
| reader->Init(GetSpecifiedOption(options, VIDEO_FILE_PATH)); |
| |
| auto enc = reader->GetSourceEncodingInt(); |
| auto fps = reader->GetSourceFps(); |
| auto w = reader->GetSourceWidth(); |
| auto h = reader->GetSourceHeight(); |
| if (!reader->ConvertToRGB()) |
| { |
| readerPtr = std::move(std::make_unique<od::CvVideoFrameReaderRgbWrapper>(std::move(reader))); |
| } |
| else |
| { |
| readerPtr = std::move(reader); |
| } |
| |
| if(CheckOptionSpecified(options, OUTPUT_VIDEO_FILE_PATH)) |
| { |
| std::string outputVideo = GetSpecifiedOption(options, OUTPUT_VIDEO_FILE_PATH); |
| auto writer = std::make_unique<od::CvVideoFileWriter>(); |
| writer->Init(outputVideo, enc, fps, w, h); |
| |
| return std::make_tuple<>(std::move(readerPtr), std::move(writer)); |
| } |
| else |
| { |
| auto writer = std::make_unique<od::CvWindowOutput>(); |
| writer->Init("Processed Video"); |
| return std::make_tuple<>(std::move(readerPtr), std::move(writer)); |
| } |
| } |
| |
| int main(int argc, char *argv[]) |
| { |
| std::map<std::string, std::string> options; |
| |
| int result = ParseOptions(options, CMD_OPTIONS, argv, argc); |
| if (result != 0) |
| { |
| return result; |
| } |
| |
| // Create the network options |
| od::ODPipelineOptions pipelineOptions; |
| pipelineOptions.m_ModelFilePath = GetSpecifiedOption(options, MODEL_FILE_PATH); |
| pipelineOptions.m_ModelName = GetSpecifiedOption(options, MODEL_NAME); |
| |
| if(CheckOptionSpecified(options, PREFERRED_BACKENDS)) |
| { |
| pipelineOptions.m_backends = GetPreferredBackendList((GetSpecifiedOption(options, PREFERRED_BACKENDS))); |
| } |
| else |
| { |
| pipelineOptions.m_backends = {"CpuAcc", "CpuRef"}; |
| } |
| |
| auto labels = AssignColourToLabel(GetSpecifiedOption(options, LABEL_PATH)); |
| |
| od::IPipelinePtr objectDetectionPipeline = od::CreatePipeline(pipelineOptions); |
| |
| auto inputAndOutput = GetFrameSourceAndSink(options); |
| std::unique_ptr<od::IFrameReader<cv::Mat>> reader = std::move(std::get<0>(inputAndOutput)); |
| std::unique_ptr<od::IFrameOutput<cv::Mat>> sink = std::move(std::get<1>(inputAndOutput)); |
| |
| if (!sink->IsReady()) |
| { |
| std::cerr << "Failed to open video writer."; |
| return 1; |
| } |
| |
| od::InferenceResults results; |
| |
| std::shared_ptr<cv::Mat> frame = reader->ReadFrame(); |
| |
| //pre-allocate frames |
| cv::Mat processed; |
| |
| while(!reader->IsExhausted(frame)) |
| { |
| objectDetectionPipeline->PreProcessing(*frame, processed); |
| objectDetectionPipeline->Inference(processed, results); |
| objectDetectionPipeline->PostProcessing(results, |
| [&frame, &labels](od::DetectedObjects detects) -> void { |
| AddInferenceOutputToFrame(detects, *frame, labels); |
| }); |
| |
| sink->WriteFrame(frame); |
| frame = reader->ReadFrame(); |
| } |
| sink->Close(); |
| return 0; |
| } |