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https://github.com/opencv/opencv.git
synced 2024-11-24 03:00:14 +08:00
Fixed several incorrect printf format specifiers
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d1c842cf29
commit
e0f524d3b7
@ -210,7 +210,7 @@ void calib::calibDataController::filterFrames()
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worstElemIndex = i;
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}
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}
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showOverlayMessage(cv::format("Frame %d is worst", worstElemIndex + 1));
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showOverlayMessage(cv::format("Frame %zu is worst", worstElemIndex + 1));
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if(mCalibData->imagePoints.size()) {
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mCalibData->imagePoints.erase(mCalibData->imagePoints.begin() + worstElemIndex);
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@ -318,7 +318,7 @@ cv::Mat CalibProcessor::processFrame(const cv::Mat &frame)
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saveFrameData();
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bool isFrameBad = checkLastFrame();
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if (!isFrameBad) {
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std::string displayMessage = cv::format("Frame # %d captured", std::max(mCalibData->imagePoints.size(),
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std::string displayMessage = cv::format("Frame # %zu captured", std::max(mCalibData->imagePoints.size(),
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mCalibData->allCharucoCorners.size()));
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if(!showOverlayMessage(displayMessage))
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showCaptureMessage(frame, displayMessage);
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@ -392,6 +392,17 @@ template<typename _Tp> static inline _Tp randu()
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The function acts like sprintf but forms and returns an STL string. It can be used to form an error
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message in the Exception constructor.
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@param fmt printf-compatible formatting specifiers.
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**Note**:
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|Type|Specifier|
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|-|-|
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|`const char*`|`%s`|
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|`char`|`%c`|
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|`float` / `double`|`%f`,`%g`|
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|`int`, `long`, `long long`|`%d`, `%ld`, ``%lld`|
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|`unsigned`, `unsigned long`, `unsigned long long`|`%u`, `%lu`, `%llu`|
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|`uint64` -> `uintmax_t`, `int64` -> `intmax_t`|`%ju`, `%jd`|
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|`size_t`|`%zu`|
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*/
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CV_EXPORTS String format( const char* fmt, ... ) CV_FORMAT_PRINTF(1, 2);
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@ -3317,7 +3317,7 @@ struct ProgramSource::Impl
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default:
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CV_Error(Error::StsInternal, "Internal error");
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}
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sourceHash_ = cv::format("%08jx", hash);
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sourceHash_ = cv::format("%08jx", (uintmax_t)hash);
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isHashUpdated = true;
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}
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@ -606,7 +606,7 @@ TEST(Core_InputOutput, FileStorageSpaces)
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cv::FileStorage g3(fileName, cv::FileStorage::READ);
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std::string valuesReadAppend[valueCount];
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for (size_t i = 0; i < valueCount; i++) {
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EXPECT_NO_THROW(g3[cv::format("key%d", i)] >> valuesReadAppend[i]);
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EXPECT_NO_THROW(g3[cv::format("key%zu", i)] >> valuesReadAppend[i]);
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ASSERT_STREQ(values[i].c_str(), valuesReadAppend[i].c_str());
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}
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g3.release();
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@ -2347,7 +2347,7 @@ struct Net::Impl
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LayerData &ld = layers[pin.lid];
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if ((size_t)pin.oid >= ld.outputBlobs.size())
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{
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CV_Error(Error::StsOutOfRange, format("Layer \"%s\" produce only %d outputs, "
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CV_Error(Error::StsOutOfRange, format("Layer \"%s\" produce only %zu outputs, "
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"the #%d was requested", ld.name.c_str(),
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ld.outputBlobs.size(), pin.oid));
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}
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@ -88,7 +88,7 @@ public:
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{
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CV_Error(Error::StsBadArg,
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format("Orders of dimensions in Permute layer parameter"
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"must be in [0...%d]", _numAxes - 1));
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"must be in [0...%zu]", _numAxes - 1));
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}
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if (std::find(_order.begin(), _order.end(), currentOrder) != _order.end())
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{
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@ -69,7 +69,7 @@ static size_t fread__(void *ptr, size_t size, size_t nitems, FILE *stream)
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{ \
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dfself->file.hasError = 1; /* shouldn't we put hasError to 0 all the time ? */ \
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if(!dfself->file.isQuiet) \
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THError("read error: read %d blocks instead of %d", nread, n); \
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THError("read error: read %ld blocks instead of %ld", nread, n);\
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} \
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\
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return nread; \
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@ -120,7 +120,7 @@ static void THDiskFile_seek(THFile *self, long position)
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{
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dfself->file.hasError = 1;
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if(!dfself->file.isQuiet)
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THError("unable to seek at position %d", position);
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THError("unable to seek at position %ld", position);
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}
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}
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@ -351,7 +351,7 @@ static long THDiskFile_readLong(THFile *self, int64 *data, long n)
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{
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dfself->file.hasError = 1; /* shouldn't we put hasError to 0 all the time ? */
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if(!dfself->file.isQuiet)
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THError("read error: read %d blocks instead of %d", nread, n);
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THError("read error: read %ld blocks instead of %ld", nread, n);
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}
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return nread;
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@ -1902,7 +1902,7 @@ static bool ocl_classify_hists(int win_height, int win_width, int block_stride_y
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if(is_cpu)
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opts = "-D CPU ";
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else
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opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
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opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
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k.create("classify_hists_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
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if(k.empty())
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return false;
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@ -95,12 +95,13 @@ static bool ocl_fastNlMeansDenoising(InputArray _src, OutputArray _dst, const fl
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int almostTemplateWindowSizeSqBinShift = -1;
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char buf[4][40];
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const unsigned psz = (depth == CV_8U ? sizeof(uchar) : sizeof(ushort)) * (cn == 3 ? 4 : cn);
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String opts = format("-D OP_CALC_FASTNLMEANS -D TEMPLATE_SIZE=%d -D SEARCH_SIZE=%d"
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" -D pixel_t=%s -D int_t=%s -D wlut_t=%s"
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" -D weight_t=%s -D convert_weight_t=%s -D sum_t=%s -D convert_sum_t=%s"
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" -D BLOCK_COLS=%d -D BLOCK_ROWS=%d"
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" -D CTA_SIZE=%d -D TEMPLATE_SIZE2=%d -D SEARCH_SIZE2=%d"
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" -D convert_int_t=%s -D cn=%d -D psz=%d -D convert_pixel_t=%s%s",
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" -D convert_int_t=%s -D cn=%d -D psz=%u -D convert_pixel_t=%s%s",
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templateWindowSize, searchWindowSize,
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ocl::typeToStr(type), ocl::typeToStr(CV_32SC(cn)),
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ocl::typeToStr(CV_32SC(hn)),
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@ -115,7 +116,7 @@ static bool ocl_fastNlMeansDenoising(InputArray _src, OutputArray _dst, const fl
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BLOCK_COLS, BLOCK_ROWS,
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ctaSize, templateWindowHalfWize, searchWindowHalfSize,
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ocl::convertTypeStr(depth, CV_32S, cn, buf[2]), cn,
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(depth == CV_8U ? sizeof(uchar) : sizeof(ushort)) * (cn == 3 ? 4 : cn),
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psz,
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ocl::convertTypeStr(CV_32S, depth, cn, buf[3]),
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normType == NORM_L1 ? " -D ABS" : "");
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@ -22,7 +22,7 @@ inline D safe_int_cast(S val, const char * msg = 0)
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if (!in_range_r || !in_range_l)
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{
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if (!msg)
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CV_Error_(Error::StsOutOfRange, ("Can not convert integer values (%s -> %s), value 0x%jx is out of range", typeid(S).name(), typeid(D).name(), int64(val)));
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CV_Error_(Error::StsOutOfRange, ("Can not convert integer values (%s -> %s), value 0x%jx is out of range", typeid(S).name(), typeid(D).name(), (uintmax_t)val));
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else
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CV_Error(Error::StsOutOfRange, msg);
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}
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@ -186,7 +186,7 @@ void colorizeSegmentation(const Mat &score, Mat &segm)
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else if (chns != (int)colors.size())
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{
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CV_Error(Error::StsError, format("Number of output classes does not match "
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"number of colors (%d != %d)", chns, colors.size()));
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"number of colors (%d != %zu)", chns, colors.size()));
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}
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Mat maxCl = Mat::zeros(rows, cols, CV_8UC1);
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@ -231,7 +231,7 @@ void showLegend()
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if ((int)colors.size() != numClasses)
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{
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CV_Error(Error::StsError, format("Number of output classes does not match "
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"number of labels (%d != %d)", colors.size(), classes.size()));
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"number of labels (%zu != %zu)", colors.size(), classes.size()));
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}
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legend.create(kBlockHeight * numClasses, 200, CV_8UC3);
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for (int i = 0; i < numClasses; i++)
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