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Unite deep learning object detection samples

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Dmitry Kurtaev
2018-03-02 12:04:39 +03:00
parent 667f5b655a
commit e8d94ea87c
14 changed files with 555 additions and 995 deletions
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doc/tutorials/dnn/dnn_yolo/dnn_yolo.markdown
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@@ -18,40 +18,26 @@ VIDEO DEMO:
Source Code
-----------
The latest version of sample source code can be downloaded [here](https://github.com/opencv/opencv/blob/master/samples/dnn/yolo_object_detection.cpp).
Use a universal sample for object detection models written
[in C++](https://github.com/opencv/opencv/blob/master/samples/dnn/object_detection.cpp) and
[in Python](https://github.com/opencv/opencv/blob/master/samples/dnn/object_detection.py) languages
@include dnn/yolo_object_detection.cpp
How to compile in command line with pkg-config
----------------------------------------------
@code{.bash}
# g++ `pkg-config --cflags opencv` `pkg-config --libs opencv` yolo_object_detection.cpp -o yolo_object_detection
@endcode
Usage examples
--------------
Execute in webcam:
@code{.bash}
$ yolo_object_detection -camera_device=0 -cfg=[PATH-TO-DARKNET]/cfg/yolo.cfg -model=[PATH-TO-DARKNET]/yolo.weights -class_names=[PATH-TO-DARKNET]/data/coco.names
$ 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
@endcode
Execute with image:
Execute with image or video file:
@code{.bash}
$ yolo_object_detection -source=[PATH-IMAGE] -cfg=[PATH-TO-DARKNET]/cfg/yolo.cfg -model=[PATH-TO-DARKNET]/yolo.weights -class_names=[PATH-TO-DARKNET]/data/coco.names
@endcode
Execute in video file:
@code{.bash}
$ yolo_object_detection -source=[PATH-TO-VIDEO] -cfg=[PATH-TO-DARKNET]/cfg/yolo.cfg -model=[PATH-TO-DARKNET]/yolo.weights -class_names=[PATH-TO-DARKNET]/data/coco.names
$ 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]
@endcode