[build] fix for tiny for warning detected by @rperrot

ghalmets · Oct 5, 2015 · f0889f0 · f0889f0
1 parent 61a32d7
commit f0889f0
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Showing 3 changed files with 7 additions and 6 deletions.
diff --git a/src/cmakeFindModules/OptimizeForArchitecture.cmake b/src/cmakeFindModules/OptimizeForArchitecture.cmake
@@ -41,8 +41,8 @@ macro(AutodetectHostArchitecture)
    if(_vendor_id STREQUAL "GenuineIntel")
       if(_cpu_family EQUAL 6)
          # Any recent Intel CPU except NetBurst
-         if(_cpu_model EQUAL 70) #intel core i7-3720qm MacBook Pro Retina
-            set(TARGET_ARCHITECTURE "ivy-bridge")
+         if(_cpu_model EQUAL 70) #intel haswell
+            set(TARGET_ARCHITECTURE "haswell")
          elseif(_cpu_model EQUAL 69) # Core i5/i7-4xxxU CPUs
             set(TARGET_ARCHITECTURE "haswell")
          elseif(_cpu_model EQUAL 63) # Xeon E5 series

diff --git a/src/openMVG/image/image_io.cpp b/src/openMVG/image/image_io.cpp
@@ -586,7 +586,8 @@ int ReadTiff(const char * filename,
     }
   } else {
     for (size_t i=0; i<TIFFNumberOfStrips(tiff); ++i) {
-      if (TIFFReadEncodedStrip(tiff, i, ((uint8*)&((*ptr)[0]))+i*TIFFStripSize(tiff),(tsize_t)-1)<0) {
+      if (TIFFReadEncodedStrip(tiff, i, ((uint8*)&((*ptr)[0]))+i*TIFFStripSize(tiff),(tsize_t)-1) ==
+        std::numeric_limits<tsize_t>::max()) {
         TIFFClose(tiff);
         return 0;
       }

diff --git a/src/openMVG/matching/kvld/kvld.h b/src/openMVG/matching/kvld/kvld.h
@@ -112,11 +112,11 @@ class VLD
     {
 		  for( int j = 0; j < subdirection; j++ )
       {// term of descriptor
-        diff[ 0 ] += abs( descriptor[ i * subdirection + j ] - vld2.descriptor[ i * subdirection + j ] );
+        diff[ 0 ] += std::abs( descriptor[ i * subdirection + j ] - vld2.descriptor[ i * subdirection + j ] );
       }
 			//term of main SIFT like orientation
-			diff[ 1 ] += std::min( abs( principleAngle[ i ] - vld2.principleAngle[ i ] ),
-			  binNum - abs( principleAngle[ i ] - vld2.principleAngle[ i ] ) ) * ( weight[ i ] + vld2.weight[ i ] );// orientation term
+			diff[ 1 ] += std::min( std::abs( principleAngle[ i ] - vld2.principleAngle[ i ] ),
+			  binNum - std::abs( principleAngle[ i ] - vld2.principleAngle[ i ] ) ) * ( weight[ i ] + vld2.weight[ i ] );// orientation term
     }
 
 		diff[ 0 ] *= 0.36;