Fix build errors
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befd696720
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dd74a851f3
@ -41,7 +41,7 @@
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#include "precomp.hpp"
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#ifndef WIN32
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#if defined HAVE_FFMPEG && !defined WIN32
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#include "cap_ffmpeg_impl.hpp"
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#else
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#include "cap_ffmpeg_api.hpp"
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@ -61,8 +61,10 @@ extern "C" {
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#endif
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#ifdef WIN32
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# define AVUTIL_COMMON_H
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# define MKBETAG(a,b,c,d) ((d) | ((c) << 8) | ((b) << 16) | ((unsigned)(a) << 24))
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# ifdef __OPENCV_BUILD
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# define AVUTIL_COMMON_H
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# define MKBETAG(a,b,c,d) ((d) | ((c) << 8) | ((b) << 16) | ((unsigned)(a) << 24))
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# endif
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# include <libavformat/avformat.h>
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#else
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@ -44,7 +44,7 @@ JNIEXPORT void JNICALL Java_org_opencv_android_Utils_nBitmapToMat2
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// info.format == ANDROID_BITMAP_FORMAT_RGB_565
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LOGD("nBitmapToMat: RGB_565 -> CV_8UC4");
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Mat tmp(info.height, info.width, CV_8UC2, pixels);
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cvtColor(tmp, dst, CV_BGR5652RGBA);
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cvtColor(tmp, dst, COLOR_BGR5652RGBA);
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}
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AndroidBitmap_unlockPixels(env, bitmap);
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return;
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@ -104,10 +104,10 @@ JNIEXPORT void JNICALL Java_org_opencv_android_Utils_nMatToBitmap2
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if(src.type() == CV_8UC1)
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{
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LOGD("nMatToBitmap: CV_8UC1 -> RGBA_8888");
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cvtColor(src, tmp, CV_GRAY2RGBA);
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cvtColor(src, tmp, COLOR_GRAY2RGBA);
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} else if(src.type() == CV_8UC3){
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LOGD("nMatToBitmap: CV_8UC3 -> RGBA_8888");
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cvtColor(src, tmp, CV_RGB2RGBA);
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cvtColor(src, tmp, COLOR_RGB2RGBA);
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} else if(src.type() == CV_8UC4){
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LOGD("nMatToBitmap: CV_8UC4 -> RGBA_8888");
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if(needPremultiplyAlpha) cvtColor(src, tmp, COLOR_RGBA2mRGBA);
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@ -119,13 +119,13 @@ JNIEXPORT void JNICALL Java_org_opencv_android_Utils_nMatToBitmap2
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if(src.type() == CV_8UC1)
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{
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LOGD("nMatToBitmap: CV_8UC1 -> RGB_565");
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cvtColor(src, tmp, CV_GRAY2BGR565);
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cvtColor(src, tmp, COLOR_GRAY2BGR565);
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} else if(src.type() == CV_8UC3){
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LOGD("nMatToBitmap: CV_8UC3 -> RGB_565");
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cvtColor(src, tmp, CV_RGB2BGR565);
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cvtColor(src, tmp, COLOR_RGB2BGR565);
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} else if(src.type() == CV_8UC4){
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LOGD("nMatToBitmap: CV_8UC4 -> RGB_565");
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cvtColor(src, tmp, CV_RGBA2BGR565);
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cvtColor(src, tmp, COLOR_RGBA2BGR565);
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}
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}
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AndroidBitmap_unlockPixels(env, bitmap);
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@ -732,10 +732,10 @@ void SIFT::operator()(InputArray _image, InputArray _mask,
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Mat image = _image.getMat(), mask = _mask.getMat();
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if( image.empty() || image.depth() != CV_8U )
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CV_Error( CV_StsBadArg, "image is empty or has incorrect depth (!=CV_8U)" );
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CV_Error( Error::StsBadArg, "image is empty or has incorrect depth (!=CV_8U)" );
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if( !mask.empty() && mask.type() != CV_8UC1 )
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CV_Error( CV_StsBadArg, "mask has incorrect type (!=CV_8UC1)" );
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CV_Error( Error::StsBadArg, "mask has incorrect type (!=CV_8UC1)" );
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if( useProvidedKeypoints )
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{
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@ -427,7 +427,7 @@ void SURFFindInvoker::findMaximaInLayer( const Mat& sum, const Mat& mask_sum,
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float center_j = sum_j + (size-1)*0.5f;
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KeyPoint kpt( center_j, center_i, (float)sizes[layer],
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-1, val0, octave, CV_SIGN(trace_ptr[j]) );
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-1, val0, octave, (trace_ptr[j] > 0) - (trace_ptr[j] < 0) );
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/* Interpolate maxima location within the 3x3x3 neighbourhood */
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int ds = size - sizes[layer-1];
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@ -550,7 +550,7 @@ struct SURFInvoker
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{
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if( i*i + j*j <= ORI_RADIUS*ORI_RADIUS )
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{
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apt[nOriSamples] = cvPoint(i,j);
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apt[nOriSamples] = Point(i,j);
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aptw[nOriSamples++] = G_ori.at<float>(i+ORI_RADIUS,0) * G_ori.at<float>(j+ORI_RADIUS,0);
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}
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}
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@ -580,9 +580,6 @@ struct SURFInvoker
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float X[nOriSampleBound], Y[nOriSampleBound], angle[nOriSampleBound];
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uchar PATCH[PATCH_SZ+1][PATCH_SZ+1];
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float DX[PATCH_SZ][PATCH_SZ], DY[PATCH_SZ][PATCH_SZ];
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CvMat matX = cvMat(1, nOriSampleBound, CV_32F, X);
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CvMat matY = cvMat(1, nOriSampleBound, CV_32F, Y);
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CvMat _angle = cvMat(1, nOriSampleBound, CV_32F, angle);
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Mat _patch(PATCH_SZ+1, PATCH_SZ+1, CV_8U, PATCH);
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int dsize = extended ? 128 : 64;
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@ -594,7 +591,8 @@ struct SURFInvoker
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maxSize = std::max(maxSize, (*keypoints)[k].size);
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}
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int imaxSize = std::max(cvCeil((PATCH_SZ+1)*maxSize*1.2f/9.0f), 1);
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Ptr<CvMat> winbuf = cvCreateMat( 1, imaxSize*imaxSize, CV_8U );
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cv::AutoBuffer<uchar> winbuf(imaxSize*imaxSize);
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for( k = k1; k < k2; k++ )
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{
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int i, j, kk, nangle;
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@ -648,8 +646,8 @@ struct SURFInvoker
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kp.size = -1;
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continue;
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}
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matX.cols = matY.cols = _angle.cols = nangle;
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cvCartToPolar( &matX, &matY, 0, &_angle, 1 );
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phase( Mat(1, nangle, CV_32F, X), Mat(1, nangle, CV_32F, Y), Mat(1, nangle, CV_32F, angle), true );
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float bestx = 0, besty = 0, descriptor_mod = 0;
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for( i = 0; i < 360; i += SURF_ORI_SEARCH_INC )
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@ -680,8 +678,8 @@ struct SURFInvoker
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/* Extract a window of pixels around the keypoint of size 20s */
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int win_size = (int)((PATCH_SZ+1)*s);
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CV_Assert( winbuf->cols >= win_size*win_size );
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Mat win(win_size, win_size, CV_8U, winbuf->data.ptr);
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CV_Assert( imaxSize >= win_size );
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Mat win(win_size, win_size, CV_8U, winbuf);
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if( !upright )
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{
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@ -116,7 +116,7 @@ void showOrig(const Mat& img, const vector<KeyPoint>& orig_pts)
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cvtColor(img, img_color, COLOR_GRAY2BGR);
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for(size_t i = 0; i < orig_pts.size(); ++i)
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circle(img_color, orig_pts[i].pt, (int)orig_pts[i].size/2, CV_RGB(0, 255, 0));
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circle(img_color, orig_pts[i].pt, (int)orig_pts[i].size/2, Scalar(0, 255, 0));
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namedWindow("O"); imshow("O", img_color);
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}
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@ -128,10 +128,10 @@ void show(const string& name, const Mat& new_img, const vector<KeyPoint>& new_pt
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cvtColor(new_img, new_img_color, COLOR_GRAY2BGR);
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for(size_t i = 0; i < transf_pts.size(); ++i)
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circle(new_img_color, transf_pts[i].pt, (int)transf_pts[i].size/2, CV_RGB(255, 0, 0));
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circle(new_img_color, transf_pts[i].pt, (int)transf_pts[i].size/2, Scalar(255, 0, 0));
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for(size_t i = 0; i < new_pts.size(); ++i)
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circle(new_img_color, new_pts[i].pt, (int)new_pts[i].size/2, CV_RGB(0, 0, 255));
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circle(new_img_color, new_pts[i].pt, (int)new_pts[i].size/2, Scalar(0, 0, 255));
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namedWindow(name + "_T"); imshow(name + "_T", new_img_color);
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}
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@ -232,7 +232,7 @@ protected:
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featureDetector->detect(image0, keypoints0);
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removeVerySmallKeypoints(keypoints0);
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if(keypoints0.size() < 15)
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CV_Error(CV_StsAssert, "Detector gives too few points in a test image\n");
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CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
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const int maxAngle = 360, angleStep = 15;
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for(int angle = 0; angle < maxAngle; angle += angleStep)
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@ -262,7 +262,7 @@ protected:
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float angle0 = keypoints0[matches[m].queryIdx].angle;
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float angle1 = keypoints1[matches[m].trainIdx].angle;
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if(angle0 == -1 || angle1 == -1)
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CV_Error(CV_StsBadArg, "Given FeatureDetector is not rotation invariant, it can not be tested here.\n");
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CV_Error(Error::StsBadArg, "Given FeatureDetector is not rotation invariant, it can not be tested here.\n");
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CV_Assert(angle0 >= 0.f && angle0 < 360.f);
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CV_Assert(angle1 >= 0.f && angle1 < 360.f);
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@ -347,7 +347,7 @@ protected:
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featureDetector->detect(image0, keypoints0);
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removeVerySmallKeypoints(keypoints0);
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if(keypoints0.size() < 15)
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CV_Error(CV_StsAssert, "Detector gives too few points in a test image\n");
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CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
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descriptorExtractor->compute(image0, keypoints0, descriptors0);
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BFMatcher bfmatcher(normType);
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@ -432,7 +432,7 @@ protected:
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featureDetector->detect(image0, keypoints0);
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removeVerySmallKeypoints(keypoints0);
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if(keypoints0.size() < 15)
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CV_Error(CV_StsAssert, "Detector gives too few points in a test image\n");
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CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
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for(int scaleIdx = 1; scaleIdx <= 3; scaleIdx++)
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{
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@ -444,7 +444,7 @@ protected:
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featureDetector->detect(image1, keypoints1);
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removeVerySmallKeypoints(keypoints1);
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if(keypoints1.size() < 15)
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CV_Error(CV_StsAssert, "Detector gives too few points in a test image\n");
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CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
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if(keypoints1.size() > keypoints0.size())
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{
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@ -553,7 +553,7 @@ protected:
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featureDetector->detect(image0, keypoints0);
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removeVerySmallKeypoints(keypoints0);
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if(keypoints0.size() < 15)
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CV_Error(CV_StsAssert, "Detector gives too few points in a test image\n");
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CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
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Mat descriptors0;
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descriptorExtractor->compute(image0, keypoints0, descriptors0);
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@ -93,8 +93,8 @@ public:
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double confThresh() const { return conf_thresh_; }
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void setConfThresh(double conf_thresh) { conf_thresh_ = conf_thresh; }
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CvTermCriteria termCriteria() { return term_criteria_; }
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void setTermCriteria(const CvTermCriteria& term_criteria) { term_criteria_ = term_criteria; }
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TermCriteria termCriteria() { return term_criteria_; }
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void setTermCriteria(const TermCriteria& term_criteria) { term_criteria_ = term_criteria; }
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protected:
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BundleAdjusterBase(int num_params_per_cam, int num_errs_per_measurement)
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@ -103,7 +103,7 @@ protected:
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{
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setRefinementMask(Mat::ones(3, 3, CV_8U));
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setConfThresh(1.);
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setTermCriteria(cvTermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 1000, DBL_EPSILON));
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setTermCriteria(TermCriteria(TermCriteria::EPS + TermCriteria::COUNT, 1000, DBL_EPSILON));
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}
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// Runs bundle adjustment
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@ -132,7 +132,7 @@ protected:
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double conf_thresh_;
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//Levenberg–Marquardt algorithm termination criteria
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CvTermCriteria term_criteria_;
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TermCriteria term_criteria_;
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// Camera parameters matrix (CV_64F)
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Mat cam_params_;
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@ -11,9 +11,9 @@ int main(int argc, char* argv[])
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printf("%s\n", message);
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// put message to simple image
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Size textsize = getTextSize(message, CV_FONT_HERSHEY_COMPLEX, 3, 5, 0);
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Size textsize = getTextSize(message, FONT_HERSHEY_COMPLEX, 3, 5, 0);
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Mat img(textsize.height + 20, textsize.width + 20, CV_32FC1, Scalar(230,230,230));
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putText(img, message, Point(10, img.rows - 10), CV_FONT_HERSHEY_COMPLEX, 3, Scalar(0, 0, 0), 5);
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putText(img, message, Point(10, img.rows - 10), FONT_HERSHEY_COMPLEX, 3, Scalar(0, 0, 0), 5);
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// save\show resulting image
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#if ANDROID
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