Fixed several incorrect printf format specifiers

apps/interactive-calibration/calibController.cpp

@@ -210,7 +210,7 @@ void calib::calibDataController::filterFrames()
                 worstElemIndex = i;
             }
         }
-        showOverlayMessage(cv::format("Frame %d is worst", worstElemIndex + 1));
+        showOverlayMessage(cv::format("Frame %zu is worst", worstElemIndex + 1));
 
         if(mCalibData->imagePoints.size()) {
             mCalibData->imagePoints.erase(mCalibData->imagePoints.begin() + worstElemIndex);

apps/interactive-calibration/frameProcessor.cpp

@@ -318,7 +318,7 @@ cv::Mat CalibProcessor::processFrame(const cv::Mat &frame)
             saveFrameData();
             bool isFrameBad = checkLastFrame();
             if (!isFrameBad) {
-                std::string displayMessage = cv::format("Frame # %d captured", std::max(mCalibData->imagePoints.size(),
+                std::string displayMessage = cv::format("Frame # %zu captured", std::max(mCalibData->imagePoints.size(),
                                                                                         mCalibData->allCharucoCorners.size()));
                 if(!showOverlayMessage(displayMessage))
                     showCaptureMessage(frame, displayMessage);

modules/core/include/opencv2/core/operations.hpp

@@ -392,6 +392,17 @@ template<typename _Tp> static inline _Tp randu()
 The function acts like sprintf but forms and returns an STL string. It can be used to form an error
 message in the Exception constructor.
 @param fmt printf-compatible formatting specifiers.
+
+**Note**:
+|Type|Specifier|
+|-|-|
+|`const char*`|`%s`|
+|`char`|`%c`|
+|`float` / `double`|`%f`,`%g`|
+|`int`, `long`, `long long`|`%d`, `%ld`, ``%lld`|
+|`unsigned`, `unsigned long`, `unsigned long long`|`%u`, `%lu`, `%llu`|
+|`uint64` -> `uintmax_t`, `int64` -> `intmax_t`|`%ju`, `%jd`|
+|`size_t`|`%zu`|
  */
 CV_EXPORTS String format( const char* fmt, ... ) CV_FORMAT_PRINTF(1, 2);
 

modules/core/src/ocl.cpp

@@ -3317,7 +3317,7 @@ struct ProgramSource::Impl
         default:
             CV_Error(Error::StsInternal, "Internal error");
         }
-        sourceHash_ = cv::format("%08jx", hash);
+        sourceHash_ = cv::format("%08jx", (uintmax_t)hash);
         isHashUpdated = true;
     }
 

modules/core/test/test_io.cpp

@@ -606,7 +606,7 @@ TEST(Core_InputOutput, FileStorageSpaces)
     cv::FileStorage g3(fileName, cv::FileStorage::READ);
     std::string valuesReadAppend[valueCount];
     for (size_t i = 0; i < valueCount; i++) {
-        EXPECT_NO_THROW(g3[cv::format("key%d", i)] >> valuesReadAppend[i]);
+        EXPECT_NO_THROW(g3[cv::format("key%zu", i)] >> valuesReadAppend[i]);
         ASSERT_STREQ(values[i].c_str(), valuesReadAppend[i].c_str());
     }
     g3.release();

modules/dnn/src/dnn.cpp

@@ -2347,7 +2347,7 @@ struct Net::Impl
         LayerData &ld = layers[pin.lid];
         if ((size_t)pin.oid >= ld.outputBlobs.size())
         {
-            CV_Error(Error::StsOutOfRange, format("Layer \"%s\" produce only %d outputs, "
+            CV_Error(Error::StsOutOfRange, format("Layer \"%s\" produce only %zu outputs, "
                                            "the #%d was requested", ld.name.c_str(),
                                            ld.outputBlobs.size(), pin.oid));
         }

modules/dnn/src/layers/permute_layer.cpp

@@ -88,7 +88,7 @@ public:
             {
                 CV_Error(Error::StsBadArg,
                          format("Orders of dimensions in Permute layer parameter"
-                                "must be in [0...%d]", _numAxes - 1));
+                                "must be in [0...%zu]", _numAxes - 1));
             }
             if (std::find(_order.begin(), _order.end(), currentOrder) != _order.end())
             {

modules/dnn/src/torch/THDiskFile.cpp

@@ -69,7 +69,7 @@ static size_t fread__(void *ptr, size_t size, size_t nitems, FILE *stream)
     {                                                                   \
       dfself->file.hasError = 1; /* shouldn't we put hasError to 0 all the time ? */ \
       if(!dfself->file.isQuiet)                                         \
-        THError("read error: read %d blocks instead of %d", nread, n);  \
+        THError("read error: read %ld blocks instead of %ld", nread, n);\
     }                                                                   \
                                                                         \
     return nread;                                                       \
@@ -120,7 +120,7 @@ static void THDiskFile_seek(THFile *self, long position)
   {
     dfself->file.hasError = 1;
     if(!dfself->file.isQuiet)
-      THError("unable to seek at position %d", position);
+      THError("unable to seek at position %ld", position);
   }
 }
 
@@ -351,7 +351,7 @@ static long THDiskFile_readLong(THFile *self, int64 *data, long n)
   {
     dfself->file.hasError = 1; /* shouldn't we put hasError to 0 all the time ? */
     if(!dfself->file.isQuiet)
-      THError("read error: read %d blocks instead of %d", nread, n);
+      THError("read error: read %ld blocks instead of %ld", nread, n);
   }
 
   return nread;

modules/objdetect/src/hog.cpp

@@ -1902,7 +1902,7 @@ static bool ocl_classify_hists(int win_height, int win_width, int block_stride_y
         if(is_cpu)
            opts = "-D CPU ";
         else
-            opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
+            opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
         k.create("classify_hists_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
         if(k.empty())
             return false;

modules/photo/src/fast_nlmeans_denoising_opencl.hpp

@@ -95,12 +95,13 @@ static bool ocl_fastNlMeansDenoising(InputArray _src, OutputArray _dst, const fl
     int almostTemplateWindowSizeSqBinShift = -1;
 
     char buf[4][40];
+    const unsigned psz = (depth == CV_8U ? sizeof(uchar) : sizeof(ushort)) * (cn == 3 ? 4 : cn);
     String opts = format("-D OP_CALC_FASTNLMEANS -D TEMPLATE_SIZE=%d -D SEARCH_SIZE=%d"
                          " -D pixel_t=%s -D int_t=%s -D wlut_t=%s"
                          " -D weight_t=%s -D convert_weight_t=%s -D sum_t=%s -D convert_sum_t=%s"
                          " -D BLOCK_COLS=%d -D BLOCK_ROWS=%d"
                          " -D CTA_SIZE=%d -D TEMPLATE_SIZE2=%d -D SEARCH_SIZE2=%d"
-                         " -D convert_int_t=%s -D cn=%d -D psz=%d -D convert_pixel_t=%s%s",
+                         " -D convert_int_t=%s -D cn=%d -D psz=%u -D convert_pixel_t=%s%s",
                          templateWindowSize, searchWindowSize,
                          ocl::typeToStr(type), ocl::typeToStr(CV_32SC(cn)),
                          ocl::typeToStr(CV_32SC(hn)),
@@ -115,7 +116,7 @@ static bool ocl_fastNlMeansDenoising(InputArray _src, OutputArray _dst, const fl
                          BLOCK_COLS, BLOCK_ROWS,
                          ctaSize, templateWindowHalfWize, searchWindowHalfSize,
                          ocl::convertTypeStr(depth, CV_32S, cn, buf[2]), cn,
-                         (depth == CV_8U ? sizeof(uchar) : sizeof(ushort)) * (cn == 3 ? 4 : cn),
+                         psz,
                          ocl::convertTypeStr(CV_32S, depth, cn, buf[3]),
                          normType == NORM_L1 ? " -D ABS" : "");
 

modules/videoio/src/container_avi.cpp

@@ -22,7 +22,7 @@ inline D safe_int_cast(S val, const char * msg = 0)
     if (!in_range_r || !in_range_l)
     {
         if (!msg)
-            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)));
+            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));
         else
             CV_Error(Error::StsOutOfRange, msg);
     }

samples/dnn/segmentation.cpp

@@ -186,7 +186,7 @@ void colorizeSegmentation(const Mat &score, Mat &segm)
     else if (chns != (int)colors.size())
     {
         CV_Error(Error::StsError, format("Number of output classes does not match "
-                                         "number of colors (%d != %d)", chns, colors.size()));
+                                         "number of colors (%d != %zu)", chns, colors.size()));
     }
 
     Mat maxCl = Mat::zeros(rows, cols, CV_8UC1);
@@ -231,7 +231,7 @@ void showLegend()
         if ((int)colors.size() != numClasses)
         {
             CV_Error(Error::StsError, format("Number of output classes does not match "
-                                             "number of labels (%d != %d)", colors.size(), classes.size()));
+                                             "number of labels (%zu != %zu)", colors.size(), classes.size()));
         }
         legend.create(kBlockHeight * numClasses, 200, CV_8UC3);
         for (int i = 0; i < numClasses; i++)