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Merge branch 4.x

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Alexander Alekhin
2022-02-22 19:33:07 +00:00
parent e5d648d2d0 92312fbc0c
commit 899b4d1452
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doc/tutorials/dnn/dnn_face/dnn_face.markdown
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| | |
| -: | :- |
| Original Author | Chengrui Wang, Yuantao Feng |
| Compatibility | OpenCV >= 4.5.1 |
| Compatibility | OpenCV >= 4.5.4 |
## Introduction
In this section, we introduce the DNN-based module for face detection and face recognition. Models can be obtained in [Models](#Models). The usage of `FaceDetectorYN` and `FaceRecognizerSF` are presented in [Usage](#Usage).
In this section, we introduce cv::FaceDetectorYN class for face detection and cv::FaceRecognizerSF class for face recognition.
## Models
There are two models (ONNX format) pre-trained and required for this module:
- [Face Detection](https://github.com/ShiqiYu/libfacedetection.train/tree/master/tasks/task1/onnx):
- Size: 337KB
- [Face Detection](https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet):
- Size: 338KB
- Results on WIDER Face Val set: 0.830(easy), 0.824(medium), 0.708(hard)
- [Face Recognition](https://drive.google.com/file/d/1ClK9WiB492c5OZFKveF3XiHCejoOxINW/view?usp=sharing)
- [Face Recognition](https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface)
- Size: 36.9MB
- Results:
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| AgeDB-30 | 94.90% | 1.202 | 0.277 |
| CFP-FP | 94.80% | 1.253 | 0.212 |
## Usage
### DNNFaceDetector
## Code
@add_toggle_cpp
- **Downloadable code**: Click
doc/tutorials/introduction/config_reference/config_reference.markdown
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| `BUILD_PROTOBUF` | _ON_ | Build own copy of _protobuf_. Must be disabled if you want to use external library. |
| `PROTOBUF_UPDATE_FILES` | _OFF_ | Re-generate all .proto files. _protoc_ compiler compatible with used version of _protobuf_ must be installed. |
| `OPENCV_DNN_OPENCL` | _ON_ | Enable built-in OpenCL inference backend. |
| `WITH_INF_ENGINE` | _OFF_ | Enables [Intel Inference Engine (IE)](https://github.com/openvinotoolkit/openvino) backend. Allows to execute networks in IE format (.xml + .bin). Inference Engine must be installed either as part of [OpenVINO toolkit](https://en.wikipedia.org/wiki/OpenVINO), either as a standalone library built from sources. |
| `INF_ENGINE_RELEASE` | _2020040000_ | Defines version of Inference Engine library which is tied to OpenVINO toolkit version. Must be a 10-digit string, e.g. _2020040000_ for OpenVINO 2020.4. |
| `WITH_NGRAPH` | _OFF_ | Enables Intel NGraph library support. This library is part of Inference Engine backend which allows executing arbitrary networks read from files in multiple formats supported by OpenCV: Caffe, TensorFlow, PyTorch, Darknet, etc.. NGraph library must be installed, it is included into Inference Engine. |
| `WITH_INF_ENGINE` | _OFF_ | **Deprecated since OpenVINO 2022.1** Enables [Intel Inference Engine (IE)](https://github.com/openvinotoolkit/openvino) backend. Allows to execute networks in IE format (.xml + .bin). Inference Engine must be installed either as part of [OpenVINO toolkit](https://en.wikipedia.org/wiki/OpenVINO), either as a standalone library built from sources. |
| `INF_ENGINE_RELEASE` | _2020040000_ | **Deprecated since OpenVINO 2022.1** Defines version of Inference Engine library which is tied to OpenVINO toolkit version. Must be a 10-digit string, e.g. _2020040000_ for OpenVINO 2020.4. |
| `WITH_NGRAPH` | _OFF_ | **Deprecated since OpenVINO 2022.1** Enables Intel NGraph library support. This library is part of Inference Engine backend which allows executing arbitrary networks read from files in multiple formats supported by OpenCV: Caffe, TensorFlow, PyTorch, Darknet, etc.. NGraph library must be installed, it is included into Inference Engine. |
| `WITH_OPENVINO` | _OFF_ | Enable Intel OpenVINO Toolkit support. Should be used for OpenVINO>=2022.1 instead of `WITH_INF_ENGINE` and `WITH_NGRAPH`. |
| `OPENCV_DNN_CUDA` | _OFF_ | Enable CUDA backend. [CUDA](https://en.wikipedia.org/wiki/CUDA), CUBLAS and [CUDNN](https://developer.nvidia.com/cudnn) must be installed. |
| `WITH_HALIDE` | _OFF_ | Use experimental [Halide](https://en.wikipedia.org/wiki/Halide_(programming_language)) backend which can generate optimized code for dnn-layers at runtime. Halide must be installed. |
| `WITH_VULKAN` | _OFF_ | Enable experimental [Vulkan](https://en.wikipedia.org/wiki/Vulkan_(API)) backend. Does not require additional dependencies, but can use external Vulkan headers (`VULKAN_INCLUDE_DIRS`). |