COMPMID-2011: ResNet50 returns wrong result
Change-Id: I55449d2ae834c27d6d8b49db93a3f0b00b5b7e3e
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/940
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/examples/graph_ssd_mobilenet.cpp b/examples/graph_ssd_mobilenet.cpp
index 92abd6a..7fcc280 100644
--- a/examples/graph_ssd_mobilenet.cpp
+++ b/examples/graph_ssd_mobilenet.cpp
@@ -80,7 +80,7 @@
// Create a preprocessor object
const std::array<float, 3> mean_rgb{ { 127.5f, 127.5f, 127.5f } };
- std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb, 0.007843f);
+ std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb, true, 0.007843f);
// Get trainable parameters data path
std::string data_path = common_params.data_path;
diff --git a/utils/GraphUtils.cpp b/utils/GraphUtils.cpp
index 26ea02a..6be289a 100644
--- a/utils/GraphUtils.cpp
+++ b/utils/GraphUtils.cpp
@@ -77,8 +77,8 @@
});
}
-CaffePreproccessor::CaffePreproccessor(std::array<float, 3> mean, float scale, bool bgr)
- : _mean(mean), _scale(scale), _bgr(bgr)
+CaffePreproccessor::CaffePreproccessor(std::array<float, 3> mean, bool bgr, float scale)
+ : _mean(mean), _bgr(bgr), _scale(scale)
{
if(_bgr)
{
diff --git a/utils/GraphUtils.h b/utils/GraphUtils.h
index 4ae484f..88221c7 100644
--- a/utils/GraphUtils.h
+++ b/utils/GraphUtils.h
@@ -62,17 +62,17 @@
public:
/** Default Constructor
*
- * @param mean Mean array in RGB ordering
- * @param scale Scale value
- * @param bgr Boolean specifying if the preprocessing should assume BGR format
+ * @param[in] mean Mean array in RGB ordering
+ * @param[in] bgr Boolean specifying if the preprocessing should assume BGR format
+ * @param[in] scale Scale value
*/
- CaffePreproccessor(std::array<float, 3> mean = std::array<float, 3> { { 0, 0, 0 } }, float scale = 1.f, bool bgr = true);
+ CaffePreproccessor(std::array<float, 3> mean = std::array<float, 3> { { 0, 0, 0 } }, bool bgr = true, float scale = 1.f);
void preprocess(ITensor &tensor) override;
private:
std::array<float, 3> _mean;
- float _scale;
bool _bgr;
+ float _scale;
};
/** TF preproccessor */