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https://github.com/opencv/opencv_contrib.git
synced 2025-10-20 04:25:42 +08:00
added outflow, bgsegm modules; moved matlab from the main repository
This commit is contained in:
Vadim Pisarevsky
190
modules/optflow/test/test_simpleflow.cpp
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190
modules/optflow/test/test_simpleflow.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// indirect, incidental, special, exemplary, or consequential damages
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include <string>
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using namespace std;
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/* ///////////////////// simpleflow_test ///////////////////////// */
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class CV_SimpleFlowTest : public cvtest::BaseTest
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{
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public:
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CV_SimpleFlowTest();
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protected:
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void run(int);
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};
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CV_SimpleFlowTest::CV_SimpleFlowTest() {}
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static bool readOpticalFlowFromFile(FILE* file, cv::Mat& flow) {
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char header[5];
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if (fread(header, 1, 4, file) < 4 && (string)header != "PIEH") {
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return false;
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}
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int cols, rows;
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if (fread(&cols, sizeof(int), 1, file) != 1||
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fread(&rows, sizeof(int), 1, file) != 1) {
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return false;
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}
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flow = cv::Mat::zeros(rows, cols, CV_32FC2);
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for (int i = 0; i < rows; ++i) {
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for (int j = 0; j < cols; ++j) {
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cv::Vec2f flow_at_point;
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if (fread(&(flow_at_point[0]), sizeof(float), 1, file) != 1 ||
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fread(&(flow_at_point[1]), sizeof(float), 1, file) != 1) {
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return false;
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}
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flow.at<cv::Vec2f>(i, j) = flow_at_point;
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}
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}
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return true;
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}
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static bool isFlowCorrect(float u) {
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return !cvIsNaN(u) && (fabs(u) < 1e9);
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}
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static float calc_rmse(cv::Mat flow1, cv::Mat flow2) {
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float sum = 0;
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int counter = 0;
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const int rows = flow1.rows;
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const int cols = flow1.cols;
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for (int y = 0; y < rows; ++y) {
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for (int x = 0; x < cols; ++x) {
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cv::Vec2f flow1_at_point = flow1.at<cv::Vec2f>(y, x);
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cv::Vec2f flow2_at_point = flow2.at<cv::Vec2f>(y, x);
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float u1 = flow1_at_point[0];
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float v1 = flow1_at_point[1];
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float u2 = flow2_at_point[0];
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float v2 = flow2_at_point[1];
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if (isFlowCorrect(u1) && isFlowCorrect(u2) && isFlowCorrect(v1) && isFlowCorrect(v2)) {
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sum += (u1-u2)*(u1-u2) + (v1-v2)*(v1-v2);
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counter++;
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}
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}
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}
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return (float)sqrt(sum / (1e-9 + counter));
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}
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void CV_SimpleFlowTest::run(int) {
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const float MAX_RMSE = 0.6f;
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const string frame1_path = ts->get_data_path() + "optflow/RubberWhale1.png";
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const string frame2_path = ts->get_data_path() + "optflow/RubberWhale2.png";
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const string gt_flow_path = ts->get_data_path() + "optflow/RubberWhale.flo";
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cv::Mat frame1 = cv::imread(frame1_path);
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cv::Mat frame2 = cv::imread(frame2_path);
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if (frame1.empty()) {
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ts->printf(cvtest::TS::LOG, "could not read image %s\n", frame2_path.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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if (frame2.empty()) {
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ts->printf(cvtest::TS::LOG, "could not read image %s\n", frame2_path.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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if (frame1.rows != frame2.rows && frame1.cols != frame2.cols) {
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ts->printf(cvtest::TS::LOG, "images should be of equal sizes (%s and %s)",
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frame1_path.c_str(), frame2_path.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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if (frame1.type() != 16 || frame2.type() != 16) {
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ts->printf(cvtest::TS::LOG, "images should be of equal type CV_8UC3 (%s and %s)",
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frame1_path.c_str(), frame2_path.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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cv::Mat flow_gt;
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FILE* gt_flow_file = fopen(gt_flow_path.c_str(), "rb");
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if (gt_flow_file == NULL) {
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ts->printf(cvtest::TS::LOG, "could not read ground-thuth flow from file %s",
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gt_flow_path.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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if (!readOpticalFlowFromFile(gt_flow_file, flow_gt)) {
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ts->printf(cvtest::TS::LOG, "error while reading flow data from file %s",
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gt_flow_path.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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fclose(gt_flow_file);
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cv::Mat flow;
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cv::optflow::calcOpticalFlowSF(frame1, frame2, flow, 3, 2, 4);
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float rmse = calc_rmse(flow_gt, flow);
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ts->printf(cvtest::TS::LOG, "Optical flow estimation RMSE for SimpleFlow algorithm : %lf\n",
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rmse);
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if (rmse > MAX_RMSE) {
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ts->printf( cvtest::TS::LOG,
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"Too big rmse error : %lf ( >= %lf )\n", rmse, MAX_RMSE);
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
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return;
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}
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}
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TEST(Video_OpticalFlowSimpleFlow, accuracy) { CV_SimpleFlowTest test; test.safe_run(); }
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/* End of file. */
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