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Commit ebbc9e89 authored by Davis King's avatar Davis King
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Fixed compiler warnings

parent 0ab5b70e
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Showing with 2 additions and 2 deletions
dlib/dnn/loss.h
View file @ ebbc9e89
...@@ -1009,7 +1009,7 @@ namespace dlib ...@@ -1009,7 +1009,7 @@ namespace dlib
double detection_confidence_, double detection_confidence_,
size_t tensor_offset_, size_t tensor_offset_,
long channel long channel
) : rect(rect_), rect_bbr(rect_), detection_confidence(detection_confidence_), tensor_offset(tensor_offset_), tensor_channel(channel) {} ) : rect(rect_), detection_confidence(detection_confidence_), tensor_offset(tensor_offset_), tensor_channel(channel), rect_bbr(rect_) {}
// rect is the rectangle you get without any bounding box regression. So it's // rect is the rectangle you get without any bounding box regression. So it's
// the basic sliding window box (aka, the "anchor box"). // the basic sliding window box (aka, the "anchor box").
...@@ -1428,7 +1428,7 @@ namespace dlib ...@@ -1428,7 +1428,7 @@ namespace dlib
const float* out_data = output_tensor.host() + output_tensor.k()*output_tensor.nr()*output_tensor.nc()*i; const float* out_data = output_tensor.host() + output_tensor.k()*output_tensor.nr()*output_tensor.nc()*i;
// scan the final layer and output the positive scoring locations // scan the final layer and output the positive scoring locations
dets_accum.clear(); dets_accum.clear();
for (long k = 0; k < options.detector_windows.size(); ++k) for (long k = 0; k < (long)options.detector_windows.size(); ++k)
{ {
for (long r = 0; r < output_tensor.nr(); ++r) for (long r = 0; r < output_tensor.nr(); ++r)
{ {
......
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