MYNT-EYE-S-SDK/src/api/processor/disparity_normalized_processor.cc
2018-08-04 14:05:19 +08:00

56 lines
1.7 KiB
C++

// Copyright 2018 Slightech Co., Ltd. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "api/processor/disparity_normalized_processor.h"
#include <opencv2/imgproc/imgproc.hpp>
#include <glog/logging.h>
#include <utility>
MYNTEYE_BEGIN_NAMESPACE
const char DisparityNormalizedProcessor::NAME[] =
"DisparityNormalizedProcessor";
DisparityNormalizedProcessor::DisparityNormalizedProcessor(
std::int32_t proc_period)
: Processor(std::move(proc_period)) {
VLOG(2) << __func__ << ": proc_period=" << proc_period;
}
DisparityNormalizedProcessor::~DisparityNormalizedProcessor() {
VLOG(2) << __func__;
}
std::string DisparityNormalizedProcessor::Name() {
return NAME;
}
Object *DisparityNormalizedProcessor::OnCreateOutput() {
return new ObjMat();
}
bool DisparityNormalizedProcessor::OnProcess(
Object *const in, Object *const out, Processor *const parent) {
UNUSED(parent)
const ObjMat *input = Object::Cast<ObjMat>(in);
ObjMat *output = Object::Cast<ObjMat>(out);
cv::normalize(input->value, output->value, 0, 255, cv::NORM_MINMAX, CV_8UC1);
// cv::normalize maybe return empty ==
return !output->value.empty();
}
MYNTEYE_END_NAMESPACE