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Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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Alexander Alekhin
2018-05-10 18:19:56 +03:00
parent 000a13b6a3 9e3b6a228a
commit 51e543050c
20 changed files with 515 additions and 248 deletions
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doc/tutorials/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.markdown
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@@ -69,7 +69,7 @@ CvMat* mI = &I.operator CvMat();
@endcode
One of the biggest complaints of the C interface is that it leaves all the memory management to you.
You need to figure out when it is safe to release your unused objects and make sure you do so before
the program finishes or you could have troublesome memory leeks. To work around this issue in OpenCV
the program finishes or you could have troublesome memory leaks. To work around this issue in OpenCV
there is introduced a sort of smart pointer. This will automatically release the object when it's no
longer in use. To use this declare the pointers as a specialization of the *Ptr* :
@code{.cpp}
doc/tutorials/dnn/dnn_yolo/dnn_yolo.markdown
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@@ -29,7 +29,7 @@ Execute in webcam:
@code{.bash}
$ example_dnn_object_detection --config=[PATH-TO-DARKNET]/cfg/yolo.cfg --model=[PATH-TO-DARKNET]/yolo.weights --classes=object_detection_classes_pascal_voc.txt --width=416 --height=416 --scale=0.00392
$ example_dnn_object_detection --config=[PATH-TO-DARKNET]/cfg/yolo.cfg --model=[PATH-TO-DARKNET]/yolo.weights --classes=object_detection_classes_pascal_voc.txt --width=416 --height=416 --scale=0.00392 --rgb
@endcode
@@ -37,7 +37,7 @@ Execute with image or video file:
@code{.bash}
$ example_dnn_object_detection --config=[PATH-TO-DARKNET]/cfg/yolo.cfg --model=[PATH-TO-DARKNET]/yolo.weights --classes=object_detection_classes_pascal_voc.txt --width=416 --height=416 --scale=0.00392 --input=[PATH-TO-IMAGE-OR-VIDEO-FILE]
$ example_dnn_object_detection --config=[PATH-TO-DARKNET]/cfg/yolo.cfg --model=[PATH-TO-DARKNET]/yolo.weights --classes=object_detection_classes_pascal_voc.txt --width=416 --height=416 --scale=0.00392 --input=[PATH-TO-IMAGE-OR-VIDEO-FILE] --rgb
@endcode